LAMPIRAN - kc.umn.ac.idkc.umn.ac.id/5805/8/LAMPIRAN.pdf · contoh perusahaan leasing yang teman” ketahui? apakah temen-temen mengetahui tantang ACC? Dan apa yang temen” bayangkan

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LAMPIRAN

Analisis Of Employer..., Lita Mutiasari, FB UMN, 2018

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KUESIONER OFFLINE


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KUESIONER ONLINE


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Transkrip Focus Group Discussion :

1. Focus Group Discussion Obejectives

Mendapatkan insight dari para responden mengenai apakah mereka

ingin melamar di perusahaan Astra Credit Companies

Mengetahui pentingnya reputasi sebuah perusahaan ketika mereka

ingin melamar pekerjaan

Mengetahui peran penggunaan sosial media dan job characteristics

ketika ingin mencari pekerjaan

2. Focus Group Discussion Respondents (Semua responden sudah semester 8) :

Dilla Puspa (Mahasiswa BSI Jakarta)

Firlie Bahari (Mahasiswa UNTIRTA)

Rexy Anggraini (Mahasiswa UMN)

Rinny Arifa (Mahasiswa Universitas Indonesia)

Safira Riskiana (Mahasiswa Trisakti)

3. Focus Group Discussion Environment

Ruangan tertutup dan jauh dari kebisingan

Duduk melingkar

Perekam suara (Handphone) dan Perekam Video

4. Moderator

Lita Mutiasari (Mahasiswa UMN)


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5. Questions

Apakah teman-teman mengetahui perusahaan leasing dan sebutkan

contoh perusahaan leasing yang teman” ketahui?

apakah temen-temen mengetahui tantang ACC? Dan apa yang temen”

bayangkan tentang perusahaan ACC?

Ketika udh lulus temen” tertarik tidak untuk bekerja di ACC?

Apakah corporate image itu mempengatuhi keputusan temen” dalam

melamar pekerjaan?

reputasi perusahaan yang bagus itu seperti apa dilihat dari aspek apa?

apakah social media itu dapat memberikan informasi yang cukup

ketika temen-temen ingin melamar pekerjaan? Dan apak media social

media itu membantu temen-temen untuk mencari pekerjaan?

apa yang temen” perhatikan dari kategori pekerjaannya itu? Seperti

ketika saya ingin melamar kerja saya melihat apa feedback yang saya

akan lakukan atau apa yang akan saya lakukan dri pekerjaan itu.

Bagaimana pengalaman temen-temen ketika ingin magang dan bisa

disebutkan dimana temen-temen pernah magang ?

6. Waktu dan Tempat

Hari/Tanggal : Minggu/2 Oktober 2017

Pukul : 17.00 – 18.30 WIB

Tempat : Ruang Tamu


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TRANSKRIP FGD 2 OKTOBER 2017

LM : Lita Mutia

RA : RINNY ARIFA

SR : SAFIR RISKIANA

RX : REXY ANGGRAINI

DP : DILLA PUSPA SARI

FB : FIRLIE BAHARI

LM : Selamat sore teman-teman, terima kasih sudah meluangkan waktu untuk

melaksanakan focus group discussion hari ini dan untuk mempersingkat waktu mari

kita mulai. Sebelumnya perkenalan diri dulu nama, angkatan berapa dan asal

universitas ?

RA : nama saya Rinny arifa angkatan 2014 semester 7 di universitas Indonesia

SR : nama saya safira riskiana angkatan 2014 semester 7 universitas trisakti

DP : nama saya dilla angkatan 2014 baru lulus dari BSI Tangerang

RX : nama saya Rexy angkatan 2014 semester 7 dari UMN

FB : nama saya firlie bahari angkatan 2014 dari universitas agung tirtayasa

(UNTIRTA)

LM : untuk mempersingkat waktu langsung ke Pertanyaan pertama apakah teman-

teman mengetahui perusahaan leasing dan sebutkan contoh perusahaan leasing yang

teman” ketahui?

RA : Setau saya perusahaan leasing adalah perusahaan yang memberikan kredit

kepada masyarakat yang ingin membeli mobil contohnya BCA Finance


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SR : setau saya salah satu contoh leasing yaitu FIF Finance

DP : Setau saya leasing itu perkreditan seperti alat berat contohnya Adira Finance,

BCA Finance

RA: perusahaan sewa guna usaha seperti mesin fotocopy, truck, atau bus untuk

operasional perusahaan. Contohnya ACC dan mandiri finance

FB : Leasing perusahaan yang brgerak dibidang perkreditan, seperti aeon dan

mandiri finance

LM: Untuk pertanyaan kedua, tadi Rexy telah menyebut ACC, apakah temen-temen

mengetahui tantang? Dan apa yang temen” bayangkan tentang perusahaan ACC?

RA : yang saya ketahui ACC ialah perusahaan astra untuk asuransi mobil yang

kantornya terletak disamping jalan tol tb simatupang

SR : ACC itu untuk kredit mobil contohnya mobil Avanza

DP : ACC ialah perusahaan kredit di Indonesia

RX : ACC perusahaan multiguna usaha dari perusahaan astra dan letaknya di

samping tol. ACC juga suka membuak pelatihan untuk karyawan yg di

selenggarakan di kampus”.

FB : ACC anak perusahaan astra yang bergerak di bidang asuransi mobil dana cc

juga membiayai UMKM di Indonesia

LM : temen” telah berada di semester akhir dan bahkan ada yang lulus. Ketika udh

lulus temen” tertarik tidak untuk bekerja di ACC?

FB : tentu mau karena ACC adalah anak perusahaan astra yang dimana astra

perusahaan terbesar di Indonesia


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RA : mau banget karena termasuk perusahaan astra. Dan astra perusahaan yang

menjadikan. Karena itu juga saya membuka website di ACC itu dan mengetahui

adanya pelatihan yang diselenggarakan ACC untuk mahasiswa, jadi saya sangat

tertarik untuk bisa bergabung di ACC ketika saya sudah lulus

DP : saya berminat untuk masuk Astra karena Astra terkenal perusahan besar diastral

dan bisa mendapatkan pengalaman yang bagus.

SR : saya juga mau banget mengingat astra adalah perusahaan yang bonafit di

Indonesia

RA : saya sudah pasti mau, karena ketika job fair astra memiliki antrian terpanjang

dan saingan nya juga banyak .

LM : lanjut kepertanyaan berikutnya, temen” pertama kali mendengar ACC itu dari

mana ya?

RA : dari website secara umum saja

SR : ketika kaka saya membeli mobil, saya ditawari perkreditan di ACC

DP : melihat dri website

RX : di website juga

FB : saya tau karena saya pernah bekerja (magang) di perusahaan kompetitornya

yaitu FIF Finance, jd saya bisa mengetahui ACC.

LM : untuk informasi ACC adalah perusahaan yang telah berdiri selama 35 tahun

dan menjadi salah satu perusahaan leasing terbesar di Indonesia. ACC juga telah

menerima penghargaan sebagai best corporate image selama 6 tahun berturut”.

Pertayaan selanjutnya menurut temen-temen apakah corporate image itu

mempengatuhi keputusan temen” dalam melamar pekerjaan?


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RA :iya menurut saya iya karena ketika kita udh lulus kita mau bekerja di

perusahaan yang reputasinya bagus

SR ; iyaa karena ketika kita ingin melamar pekerjaan kita lihat dulu perusahaan nya

bagus dan bonafit untuk pekerjaan kita

DP : reputasi berpengaruh banget karena semua org ingin masuk ke perusahaan yang

reputasinya bagus

RX : Penting bgt, karena menurut saya karena saya memiliki cita-cta yang tinggi dan

ingin bekerja diperusahaan yang bagus contohnya astra, semua orang mengetahui

astra sebagai perusahaan yang bagus jadi saya menginginkan bekerja di perusahaan

yang memiliki reputasi bagus seperti astra.

FB :iyaa, ketika kita mau bekerja kita liat reputasi perusahaannya, sehingga ketika

reputasi perusahaan bagus maka akan mendukung benefit yang bakal kita dapatkan

ketika bekerja di perusahaan tersebut.

LM : menurut temen-temen reputasi perusahaan yang bagus itu seperti apa dilihat

dari aspek apa?

RA : menurut saya pertama dari gaji kepada karyawan, karena pasti ketika bekerja

itu gajinya dan jenjang karir yang bagusnya seperti apa

SR : menurut saya kualitas dri produknya. Ketika kualitas bagus maka akan

menghasilkan reputasi yang baik

DP : reputasi yang bagus itu bisa dilihat dari kemakmuran karyawannya dan produk

apa yang dihasilkan apakah itu berkualitas atau tidak.

RX : budaya soalnya budaya mempengaruhi ingkungan. Ketika lingkungan baik

maka mendukung performa karyawan . yang kedua gaji ketika gaji nya seimbang

dengan kinerja yang diberikan maka akan mendukung performa karyawan juga


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FB : dilihat dari laporan keuangan yang baik

LM : pertanyaan selanjutnya, menurut temen-temen apakah social media itu dapat

memberikan informasi yang cukup ketika temen-temen ingin melamar pekerjaan?

Dan apak media social media itu membantu temen-temen untuk mencari pekerjaan?

RA: menurut saya sangat membantu karena sekarang melihat lowongan pekerjaan di

media social contohnya Instagram, tentu sangat membantu dripada harus secara

tradisional dating langsung ke perusahaannya dan belum tentu ada lowongannya.

Jika di media social sudah terlihat jelas jika diperusahaan tersebut ada lowongan

pekerjaan

SR : menurut saya sangat membantu karena sekarang sudah serba online jadi tidak

perlu kita cari dikoran atau ke perusahannya langsung, jadi tinggal cari di online

media social saja.

DP : Menurut saya media social snagat membantu tetapi untuk informasi yang lebih

terpercaya melihat website perusahannya yaa.

RX: Sangat membantu karena saat ini media social sangat mempengaruhi . dan saat

ini pembagian informasi lowongan pekerjaan dan informasi prduk sekarang berada

di media social yang berbeda sehingga lebih memudahkan para pencari kerja.

FB: media social itu penting banget karena saat ini semua sudah menggunakan

media social jadi memudahkan para pencari pekerja di media social.

LM : Ketika temen-temen ingin melamar pekerjaan, apa yang temen” perhatikan dari

kategori pekerjaannya itu? Seperti ketika saya ingin melamar kerja saya melihat apa

feedback yang saya akan lakukan atau apa yang akan saya lakukan dri pekerjaan itu.

RA : saya melihat job desc nya. Karena ada pekerjaan yang tidak sesuai dengan job

desc nya jadi tidak sesuai dengan apa yang kita mau dari pekerjannya


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SR : saya melihat dari feedback yang akan diberikan oleh perusahaan contohnya

seperti adanya jaminan kesehatan

DP : dari job desc yang jelas agar sesuai dengan apa yang akan kita lakukan dan

gajinya juga harus sesuai dengan apa yang kita dapatkan

RX : pertama pekerjannya sesuai dengan latar belakang jurusan kuliah saya, kedua

gaji nya sesuai dengan standard gaji posisi tersebut.

FB : job desc nya seperti apa, feedback yang akan kita dapatkan itu apa

LM : Bagaimana pengalaman temen-temen ketika ingin magang dan bisa disebutkan

dimana temen-temne pernah magang ?

RA : saya magang pertama rekomendasi orang tua di mandiri dan pt Telkom . waktu

magang itu job desc nya tidak sesuai dengan jurusan latar belakang saya, banyak

tugas” yang diberikan bukan sesuai divisi saya magang seperti menjadi mc di acara

CSR dll.

SR : saya magang karena rekomendasi orang tua di PT angkasa pura 2 persero.

Pengalamannya saya tau jalannya keuangan di sana hingga proses reimbursement

dan mengetahui cara menulis laporan keuangan

DP : saya pernah magang di perusahaan garment PT surya abadi, pengalamannya

sesuai denga job desc yang ada di lowongan pekerjaan

RX : saya pernah magang di kemetrweian komunikasi sebagai admi dan bank

perkreditan rakyat dan disini saya tidak ditempatkan secara jelas dmna, kadang

diteller, accunting atau pajak. Jadi job decnya banyak ..

FB : magang di PT garuda maintenance Indonesia di soekarno hatta di bidang

accounting. Dan ketika magang sesuai dengan judul laporan saya, dan saya di


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tempatkan di financial reporting dan kerja nya hanya sebagai pendukung seperti

meliat laporan keuang dibandingkan apakah sudah benar atau tidak

LM : saya rasa sudah cukup terima kasih sudah meluangkan waktunya.

TRANSKRIP IN DEPTH INTERVIEW

Waktu : 25 Oktober 2017

Tempat : Gedung A Rektorat Lt. 5 UMN

Interviewer : Lita Mutiasari

Narasumber : Dalia Sari (Mahasiswa UMN)

Durasi : 4 menit 44 detik

LM : selamat siang dalia, terimakasih kaena telah meluangkan waktunya untuk

interview hari ini, langsung kepertanyaan pertama. Apa yang kamu ketahui tentang

Astra Credit Companies?

Dalia : ACC itu perusahaan leasing kendaraan dari Astra

LM : tau dari mana?

Dalia: udah tau dari lama liat gedungnya di Jakarta dan liat dimedia social dan koran

LM: tertarik untuk melamar di ACC?

Dalia: tertarik, karena salah satu anak perusahaan Astra. Jadi pengen kerja disana

LM : menurut kamu reputasi perusahaan itu penting ga?

Dalia : penting banget soalnya untuk jenjang karir lebih baik dan reputasi perusahaan

itu dibutuhkan . dan reputuasi perusahaan bisa menjadi kebanggan tersendiri jika di

kenal oleh orang banyak.


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LM : menurut kamu reputasi perusahaan yang bagus itu dilihat dari aspek apa sih?

Dalia : dilihat dari benefit yang dikasih ke karyawannya, branding yang oke

LM: Menurut kamu social media itu membantu kamu ga sih untuk mencari informasi

lowongan pekerjaan?

Dalia : membantu banget ditambah saat ini sebagai gen y membutuhkan informasi

yang cepet, sehingga perusahaan yang menggunakan social media itu membantu

sekali

LM : pernah memiliki pengalaman mencari informasi pekerjaan di social media?

Dalia : pernah, waktu itu cari magang, kemudian cari di job vacancy dan ig nya

LM : sebeumnya dalia memiliki pengalaman magang ya?

Dalia : iya di Astra Infratall road Merak

LM : ketika magang di Astra itu dalia melihat job spec nya tidak?

Dalia : liat, job specificationnya yang sesuai dengan major saya human resources.

Kemudian saya melamar disana

LM: menurut dahlia job spec atau job requirement itu penting?

Dalia: iya penting sekali karena itu menjadi syarat dari perusahaan yang diinginkan

untuk karyawan yg bisa bekerja disana. Jadi untuk diterima jadi karyawan kita harus

memenuhi job spec yang di tentukan oleh perusahaan.

LM: Job spec yang baik itu seperti apa?

Dalia : menurut saya job spec yang jelas itu mencantumkan tingkat pendidikan,

feedback, skill dan macam” pekerjaan yang dilakukan nantinya


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Lm: ketika mau melamar kerja dalia memperhatikan apa saja? Baik dari perusahaan

atau pekerjaannya?

Dalia : pertama saya melihat branding perusahaan, kedua benefit yang nonfinancial,

dan gaji nya yang sesuai dengan pekerjannya

LM: oke terimakasih untuk waktunya hari ini





Narasumber : Elizabeth Widjdja (Mahasiswa UMN)


LM : selamat siang Elizabeth, terimakasih karena telah meluangkan waktunya untuk



Elizabeth : yang saya tau ACC itu anak perusahaan Astra. Yang memiliki banyak

bisnis unit dan termasuk perusahaan yang besar

LM : tau ACC dari mana?

Elizabeth : dari iklan-iklan dan temen-temen yang kerja magang disana

LM: tertarik untuk melamar kerja di ACC?

Elizabeth: tertarik karena ACC anak perusahaan yang besar dan karir kerja yang

lumayan


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Elizabeth : penting karena reputasi membawa gambaran karyawan diri kita sendiri.

Karena itu berdampak ke kehidupan kita selanjutnya.

LM : menurut kamu reputasi perusahaan yang bagus dilihat dari aspek apa saja?

Elizabeth : aspek terpenting itu ada 2 yaitu marketing bagaimana mempromosikan

produknya yang akan berdampak dari pihak external dan HRD bagaimana dia

mentreat karyawannya yang akan menarik perhatian job seeker.

LM : menurut kamu penggunaan social media itu membantu ga sih buat kamu

mencari informasi mengenai lowongan pekerjaan?

Elizabeth: sangat membantu

LM : bisa diceritakan pengalamannya mencari informasi lowongan pekerjaan di

social media?

Elizabeth : waktu itu mencari line jobs, dan itu membantu informasi lowongan

pekerjaan dan job fair dimana sajaa?

LM: menurut kamu job spec itu penting ga sih?

Elizabeth : penting banget . karena ketika kita mengetahui job spec nya apa kita

dapat mengetahui peran kita nantinya di perusahaan akan seperti apa. Dan

mengetahui kriteria yang dibutuhin oleh perusahaan seperti apa.

LM : bisa cerita kana pengalaman magang nya? Dan apakah km memperhatikan job

specnya?

Elizabeth : jadi saya kerja di arimbi, tidak terlalu yang terpenting harus di bagian

HR, mungkin karena untuk magang jadi job spec tidak terlalu diperhatikan, tetapi


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ketika bekerja nanti mengetahui job spec itu penting agar kita dapat mencapai tujuan

perusahaan dan apa yang diinginkan oleh atasan?

LM : yang km ketahui tentang job spec itu seperti apa?

Elizabeth : kriteria yang diperusahaan seperti apa, orang itu harus seerti apa,

kemampuan yang harus dimiliki, itu si yang penting

LM : ketika melamar pekerjaan apa yang Elizabeth perhatikan ketika melamar

pekerjaan baik itu dri perusahaan atau pekerjaan?

Elizabeth : dari pekerjaan nya yang pertama, apa yang harus dikerjakan, tanggung

jawab untuk pekerjaan dan kedua perusahaan itu seperti apa bagus atau tidak




Tempat : Ruang Tamu


Narasumber : Nurul Azizah Oktarayasa (Mahasiswa UI)


LM : selamat siang Nurul, terimakasih karena telah meluangkan waktunya untuk



Nurul : menurut saya Astra itu perusahaan asuransi dimana ACC adalah salah satu

anak perusahaan astra company


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LM: Tau ACC dari mana?

Nurul : dari social media, web, google

LM : nurul tertarik ga untuk melamar di ACC?

Nurul : untuk saya sangat tertarik, karena ACC perusahaan cukup besar dan dibawah

naungan Astra

LM : menurut nurul reputasi perusahaan itu penting ga sih?

Nurul : penting karena reputasi perusahaan menunjukan jati diri perusahaan yang

bisa dilihat dri kesejahteraan karyawannya?

LM : menurut nurul reputasi perusahaan yang bagus dapat dilihat dari aspek apa

saja?

Nurul : dari besar nya bangunan, dari pendapat masyarakat dan kesejahteraan

karyawan

LM: menurut kamu social media membantu ga buat mencari informasi lowongan

pekerjaan?

Nurul : sangat membantu, seperti informasi di Instagram sehingga mudah di akses

LM: ketika mau melamar pekerjaan aspek apa yang dilihat?

Nurul : dari reputasi perusahaan dan dari job specificationnya

LM: kenapa job spec itu penting

Nurul : karena job spec dapat melihat apakah diri kita sesuai dengan kriteria

perusahaan apa tidak?

LM : Job spec yang baik itu seperti apa?

Nurul : mencakup umur, pengalman , pendidikan dll


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LM: ketika melamar pekerjaan apa yang dilihat baik dari perusahaan dan pekerjaan?

Nurul : pertama reputasi perusahaan, job spec dan job desc nya sesuai dengan latar

belakang pendidikan saya atau tidak.






Narasumber : Putri Fatimatuzzahra (Mahasiswa UMN)


LM : selamat siang Putri, terimakasih karena telah meluangkan waktunya untuk



Putri : ACC itu perusahaan pembiayaan di Indonesia

LM : tau ACC dari mana?

Putri : tau dari acara kampus management yaitu the apprentice dan hadiahnya

magang di ACC

LM : tertarik untuk melamar di ACC?

Putri : kalo disana kurang karena saya lebih pengen perusahaan yang non financial

seperti perusahaan e-commerce



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Putri : penting karena ketika kita kerja di perusahaan yang ternama kita lebih percaya

diri karena banyak orang yang tau perusahaan kita

LM : menurut kamu reputasi perusahaan yang bagus jika dilihat dari aspek apa?

Putri : perusahaan nya dikenal banyak orang dan produknya dikenal orang banyak

LM : menurut kamu penggunaan social media itu penting ga sih buat kamu mencari

informasi tentang lowongan pekerjaa?

Putri : iya ngebantu banget karena kita sering melihat Instagram, line dan saya sering

melihat kalo ada lamaran pekerjaan. Nah karena kita sering lihat social media jadi

kita bisa tau kalo ada lowongan pekerjaan,

LM : ketika mencari pekerjaan lihat job spec nya ga?

Putri : lihat karena bisa menentukan kecocokan antara perusahaan inginkan dengan

apa yang kita bisa

LM : bisa ceritakan pengalaman magang nya?

Putri : iyaa saya magang di Telkom BSD, disana saya kalo mau magang langsung

dating ketempat dengan membawa berkas yang dibutuhkan, setelah disana kita minta

mau dibagian apa sesuai dengan background kita. Dan setelah itu saya menanyakan

mengenai job spec yang akan saya kerjakan sesuai tidak dengan background

pendidikan saya,

LM : ketika melamar pekerjaan apa yang Putri perhatikan ketika melamar pekerjaan

baik itu dri perusahaan atau pekerjaan?

Putri : pertama dari perusahaannya bagaimana lingkungan kerja nya, baru ke

pekerjaannya yang sesuai dengan background nya agar kita bisa lolos dalam tahap

seleksi nya.


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Tempat : Libro Cafe UMN


Narasumber : Christian Wijasa (Mahasiswa UMN)


LM : selamat siang Christian Wijasa, terimakasih karena telah meluangkan waktunya

untuk interview hari ini, langsung kepertanyaan pertama. Apa yang kamu ketahui

tentang Astra Credit Companies?

Christian Wijasa : ACC itu perusahaan ang bergerak dibidang financing roda empat

dan anak perusahaan astra international

LM : Tau ACC dari mana ya?

Christian Wijasa : dari Instagram, social media facebook dan youtube

LM : tertarik untuk melamar di ACC:

Christian Wijasa : tertarik karena saya bisa menjadi karyawan Astra yang dapat

beradaptasi aktif untuk membangun Indonesia menjadi lebih baik seperti misi Astra

International yaitu satu Indonesia

LM : menurut km reputasi perusahaan itu penting ga sih?

Christian Wijasa : penting karena jika perusahaan yang reputasi nya bagus maka

banyak orang yang tau perusahaan itu


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LM : reputasi yang baik itu dilihat dari aspek apa?

Christian Wijasa : dari kontribusi perusahaan untuk karyawan dan masyarakat

LM : penggunaan social media itu membantu ga untuk mencari informasi mengenai

lowongan pekerjaan?

Christian Wijasa : sangat membantu karena saat ini serba digital,yang serba

gamapang sehingga penting untuk perusahaan menggunakan social media

LM : ketika melamar pekerjaan lihat job spec nya itu penting tidak?

Christian Wijasa : penting karena sebelum malamar saya melihat job spec yang

dibutuhkan dan menyesuaikan dengan kemampuan apa yang saya miliki.

LM : bisa ceritakan pengalaman magang nya?

Christian Wijasa :saya pernah magang di sebuah perusahaan IT, waktu itu saya

mendapatkan informasi magang dari teman saya. Kemudian saya melamar magang

disana dan saya bekerja di bagian IT Programmer.

LM : ketika melamar pekerjaan apa yang Christian Wijasa perhatikan ketika

melamar pekerjaan baik itu dri perusahaan atau pekerjaan?

Christian Wijasa : kalo saya magang waktu itu saya lebih mencari pekerjaan yang

saya suka, kebetulan saya kan dari prodi IT jadi saya mencari di bagian IT.

Kemudian ada lowongan bagian programmer dan saya cukup tau banyak mengenai

hal tersebut jadi saya mau untuk melamar pekerjaan itu sewaktu saya magang. Tetapi

untuk bekerja nanti saya akan tetap cari pekerjaan yang sesuai background

pendidikan saya yaitu IT dan mau cari perusahaan yang bergerak di bidang teknologi

si sepertinya begitu.

LM: oke terimakasih untuk waktunya hari ini yaa


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Data Pre-Test

Employer Attractiveness – Interest Value

Uji Validitas

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,729

Bartlett's Test of Sphericity Approx. Chi-Square 57,071

df 6

Sig. ,000

Anti-image Matrices

INTEREST

VALUE 1

INTEREST

VALUE 2

INTEREST

VALUE 3

INTEREST

VALUE 4

Anti-image Covariance INTEREST VALUE 1 ,431 -,204 ,048 -,177

INTEREST VALUE 2 -,204 ,498 -,143 ,006

INTEREST VALUE 3 ,048 -,143 ,403 -,216

INTEREST VALUE 4 -,177 ,006 -,216 ,329

Anti-image Correlation INTEREST VALUE 1 ,729a -,440 ,116 -,471

INTEREST VALUE 2 -,440 ,785a -,320 ,016

INTEREST VALUE 3 ,116 -,320 ,714a -,593

INTEREST VALUE 4 -,471 ,016 -,593 ,700a

a. Measures of Sampling Adequacy(MSA)

Communalities

Initial Extraction

INTEREST VALUE 1 1,000 ,704



189

Component Matrixa

Component

1

INTEREST VALUE 1 ,839




Extraction Method: Principal

Component Analysis.

a. 1 components extracted.

Total Variance Explained

Component

Initial Eigenvalues Extraction Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative %

1 2,874 71,861 71,861 2,874 71,861 71,861

2 ,523 13,085 84,946

3 ,408 10,198 95,144

4 ,194 4,856 100,000

Extraction Method: Principal Component Analysis.

Employer Attractiveness – Interest Value

Uji Reabilitas



Extraction Method: Principal Component

Analysis.

Case Processing Summary

N %

Cases Valid 30 100,0

Excludeda 0 ,0


190

Reliability Statistics

Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,861 ,869 4

Item Statistics

Mean Std. Deviation N

INTEREST VALUE 1 5,57 ,858 30


INTEREST VALUE 3 5,53 1,074 30


Inter-Item Correlation Matrix

INTEREST

VALUE 1

INTEREST

VALUE 2

INTEREST

VALUE 3

INTEREST

VALUE 4

INTEREST VALUE 1 1,000 ,645 ,521 ,682

INTEREST VALUE 2 ,645 1,000 ,587 ,567

INTEREST VALUE 3 ,521 ,587 1,000 ,743

INTEREST VALUE 4 ,682 ,567 ,743 1,000

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

INTEREST VALUE 1 16,73 5,513 ,694 ,569 ,828

INTEREST VALUE 2 16,77 6,254 ,683 ,502 ,842

INTEREST VALUE 3 16,77 4,599 ,714 ,597 ,831

Total 30 100,0

a. Listwise deletion based on all variables in

the procedure.


191

INTEREST VALUE 4 16,63 4,930 ,797 ,671 ,783

Employer Attractiveness – Development Value

Uji Validitas




df 6

Sig. ,000

Anti-image Matrices

DEVELOP

VALUE 1

DEVELOP

VALUE 2

DEVELOP

VALUE 3

DEVELOP

VALUE 4

Anti-image Covariance DEVELOP VALUE 1 ,554 -,202 -,188 ,040

DEVELOP VALUE 2 -,202 ,425 -,074 -,231

DEVELOP VALUE 3 -,188 -,074 ,566 -,149

DEVELOP VALUE 4 ,040 -,231 -,149 ,538

Anti-image Correlation DEVELOP VALUE 1 ,746a -,416 -,336 ,073

DEVELOP VALUE 2 -,416 ,721a -,150 -,484

DEVELOP VALUE 3 -,336 -,150 ,813a -,270

DEVELOP VALUE 4 ,073 -,484 -,270 ,735a


Communalities

Initial Extraction

DEVELOP VALUE 1 1,000 ,621




192

Component Matrixa

Component

1

DEVELOP VALUE 1 ,788





Component Analysis.



Component



1 2,663 66,580 66,580 2,663 66,580 66,580

2 ,598 14,962 81,542

3 ,457 11,414 92,956

4 ,282 7,044 100,000


Employer Attractiveness – Development Value

Uji Reabilitas




N %



193


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,832 ,832 4

Item Statistics


DEVELOP VALUE 1 6,03 ,809 30





DEVELOP

VALUE 1

DEVELOP

VALUE 2

DEVELOP

VALUE 3

DEVELOP

VALUE 4

DEVELOP VALUE 1 1,000 ,613 ,559 ,409

DEVELOP VALUE 2 ,613 1,000 ,561 ,648

DEVELOP VALUE 3 ,559 ,561 1,000 ,528

DEVELOP VALUE 4 ,409 ,648 ,528 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

DEVELOP VALUE 1 17,47 4,671 ,622 ,446 ,804

DEVELOP VALUE 2 17,90 3,886 ,747 ,575 ,746

DEVELOP VALUE 3 17,53 4,740 ,653 ,434 ,792

DEVELOP VALUE 4 17,60 4,524 ,629 ,462 ,801

Excludeda 0 ,0

Total 30 100,0


the procedure.


194

Employer Attractiveness – Social Value

Uji Validitas




df 10

Sig. ,000

Anti-image Matrices

SOS

VALUE 1

SOS

VALUE 2

SOS

VALUE 3

SOS

VALUE 4

SOS

VALUE 5

Anti-image Covariance SOS VALUE 1 ,441 -,065 -,082 -,058 -,115

SOS VALUE 2 -,065 ,320 -,166 -,007 -,033

SOS VALUE 3 -,082 -,166 ,250 -,114 -,015

SOS VALUE 4 -,058 -,007 -,114 ,439 -,143

SOS VALUE 5 -,115 -,033 -,015 -,143 ,572

Anti-image Correlation SOS VALUE 1 ,909a -,174 -,248 -,132 -,228

SOS VALUE 2 -,174 ,820a -,588 -,020 -,077

SOS VALUE 3 -,248 -,588 ,788a -,343 -,040

SOS VALUE 4 -,132 -,020 -,343 ,880a -,285

SOS VALUE 5 -,228 -,077 -,040 -,285 ,899a


Communalities


195

Component Matrixa

Component

1

SOS VALUE 1 ,841

SOS VALUE 2 ,863

SOS VALUE 3 ,905

SOS VALUE 4 ,834

SOS VALUE 5 ,757


Component Analysis.



Component


Total % of Variance Cumulative % Total % of Variance

Cumulative

%

1 3,542 70,843 70,843 3,542 70,843 70,843

2 ,549 10,970 81,813

3 ,394 7,873 89,686

4 ,346 6,916 96,602

5 ,170 3,398 100,000


Employer Attractiveness – Social Value

Initial Extraction

SOS VALUE 1 1,000 ,708

SOS VALUE 2 1,000 ,745

SOS VALUE 3 1,000 ,819

SOS VALUE 4 1,000 ,696

SOS VALUE 5 1,000 ,573


Analysis.


196

Uji Reabilitas


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,893 ,896 5

Item Statistics


SOS VALUE 1 6,17 ,834 30

SOS VALUE 2 5,97 ,765 30

SOS VALUE 3 5,97 ,718 30

SOS VALUE 4 5,83 ,874 30

SOS VALUE 5 5,70 ,837 30


SOS VALUE 1 SOS VALUE 2 SOS VALUE 3 SOS VALUE 4 SOS VALUE 5

SOS VALUE 1 1,000 ,658 ,700 ,607 ,568

SOS VALUE 2 ,658 1,000 ,814 ,610 ,523

SOS VALUE 3 ,700 ,814 1,000 ,705 ,556

SOS VALUE 4 ,607 ,610 ,705 1,000 ,589

SOS VALUE 5 ,568 ,523 ,556 ,589 1,000



N %


Excludeda 0 ,0

Total 30 100,0


the procedure.


197

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

SOS VALUE 1 23,47 7,361 ,742 ,559 ,869

SOS VALUE 2 23,67 7,609 ,763 ,680 ,864

SOS VALUE 3 23,67 7,609 ,829 ,750 ,852

SOS VALUE 4 23,80 7,200 ,735 ,561 ,871

SOS VALUE 5 23,93 7,720 ,644 ,428 ,891

Employer Attractiveness – Economic Value

Uji Validitas




df 3

Sig. ,000

Anti-image Matrices

ECO VALUE 1 ECO VALUE 2 ECO VALUE 3

Anti-image Covariance ECO VALUE 1 ,509 -,119 -,187

ECO VALUE 2 -,119 ,442 -,221

ECO VALUE 3 -,187 -,221 ,388


198

Anti-image Correlation ECO VALUE 1 ,778a -,250 -,420

ECO VALUE 2 -,250 ,724a -,534

ECO VALUE 3 -,420 -,534 ,681a


Component Matrixa

Component

1

ECO VALUE 1 ,861

ECO VALUE 2 ,884

ECO VALUE 3 ,908


Component Analysis.



Component



1 2,348 78,268 78,268 2,348 78,268 78,268

2 ,389 12,969 91,237

3 ,263 8,763 100,000


Employer Attractiveness – Economic Value

Communalities

Initial Extraction

ECO VALUE 1 1,000 ,741

ECO VALUE 2 1,000 ,782

ECO VALUE 3 1,000 ,825


Analysis.


199

Uji Reabilitas

Item Statistics


ECO VALUE 1 5,70 ,837 30

ECO VALUE 2 5,73 ,907 30

ECO VALUE 3 5,80 ,805 30


ECO VALUE 1 ECO VALUE 2 ECO VALUE 3

ECO VALUE 1 1,000 ,618 ,676

ECO VALUE 2 ,618 1,000 ,727

ECO VALUE 3 ,676 ,727 1,000



N %


Excludeda 0 ,0

Total 30 100,0

a. Listwise deletion based on all variables in the

procedure.


Cronbach's

Alpha

Cronbach's Alpha

Based on

Standardized Items N of Items

,859 ,861 3


200

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

ECO VALUE 1 11,53 2,533 ,694 ,491 ,838

ECO VALUE 2 11,50 2,259 ,733 ,558 ,806

ECO VALUE 3 11,43 2,461 ,781 ,612 ,762

Employer Attractiveness – Application Value

Uji Validitas




df 3

Sig. ,000

Anti-image Matrices

APP VALUE 2 APP VALUE 3 APP VALUE 4

Anti-image Covariance APP VALUE 2 ,742 -,193 -,148

APP VALUE 3 -,193 ,592 -,296

APP VALUE 4 -,148 -,296 ,616

Anti-image Correlation APP VALUE 2 ,755a -,292 -,219

APP VALUE 3 -,292 ,638a -,490

APP VALUE 4 -,219 -,490 ,652a


Communalities

Initial Extraction

APP VALUE 2 1,000 ,579

APP VALUE 3 1,000 ,725


201

Component Matrixa

Component

1

APP VALUE 2 ,761

APP VALUE 3 ,852

APP VALUE 4 ,835


Component Analysis.



Component



1 2,002 66,733 66,733 2,002 66,733 66,733

2 ,594 19,815 86,548

3 ,404 13,452 100,000


Employer Attractiveness – Application Value

Uji Reabilitas


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,748 ,750 3

APP VALUE 4 1,000 ,697


Analysis.


N %


Excludeda 0 ,0

Total 30 100,0


the procedure.


202

Item Statistics


APP VALUE 2 5,73 ,740 30

APP VALUE 3 5,63 ,999 30

APP VALUE 4 5,47 ,937 30


APP VALUE 2 APP VALUE 3 APP VALUE 4

APP VALUE 2 1,000 ,470 ,434

APP VALUE 3 ,470 1,000 ,594

APP VALUE 4 ,434 ,594 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

APP VALUE 2 11,10 2,990 ,507 ,258 ,744

APP VALUE 3 11,20 2,028 ,635 ,408 ,594

APP VALUE 4 11,37 2,240 ,611 ,384 ,620

Employer Used Of Social Media

Uji Validitas




df 6


203

Sig. ,000

Anti-image Matrices

USED 1 USED 2 USED 3 USED 4

Anti-image Covariance USED 1 ,817 -,102 -,044 ,054

USED 2 -,102 ,234 -,105 -,109

USED 3 -,044 -,105 ,242 -,112

USED 4 ,054 -,109 -,112 ,254

Anti-image Correlation USED 1 ,835a -,232 -,099 ,118

USED 2 -,232 ,775a -,441 -,446

USED 3 -,099 -,441 ,787a -,452

USED 4 ,118 -,446 -,452 ,777a


Component Matrixa

Component

1

USED 1 ,537

USED 2 ,938

USED 3 ,930

USED 4 ,912

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.


Component Initial Eigenvalues Extraction Sums of Squared Loadings

Communalities

Initial Extraction

USED 1 1,000 ,288

USED 2 1,000 ,879

USED 3 1,000 ,865

USED 4 1,000 ,832


Component Analysis.


204


1 2,863 71,587 71,587 2,863 71,587 71,587

2 ,802 20,045 91,632

3 ,170 4,260 95,892

4 ,164 4,108 100,000


Employer Used Of Social Media

Tes Reliabilitas


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,866 ,854 4

Item Statistics


USED 1 5,63 ,765 30

USED 2 5,60 1,380 30

USED 3 5,63 1,217 30

USED 4 5,53 1,196 30


USED 1 USED 2 USED 3 USED 4

USED 1 1,000 ,412 ,369 ,297

USED 2 ,412 1,000 ,834 ,824

USED 3 ,369 ,834 1,000 ,826


N %


Excludeda 0 ,0

Total 30 100,0


the procedure.


205

USED 4 ,297 ,824 ,826 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

USED 1 16,77 12,737 ,384 ,183 ,933

USED 2 16,80 7,131 ,867 ,766 ,765

USED 3 16,77 8,047 ,853 ,758 ,770

USED 4 16,87 8,326 ,821 ,746 ,785

Corporate Reputation

Uji Validitas




df 6

Sig. ,000

Anti-image Matrices

CORP 1 CORP 2 CORP 3 CORP 4

Anti-image Covariance CORP 1 ,634 ,130 -,211 -,080

CORP 2 ,130 ,455 -,242 -,038

CORP 3 -,211 -,242 ,303 -,139

CORP 4 -,080 -,038 -,139 ,640

Anti-image Correlation CORP 1 ,646a ,242 -,481 -,125


206

CORP 2 ,242 ,618a -,651 -,070

CORP 3 -,481 -,651 ,610a -,317

CORP 4 -,125 -,070 -,317 ,856a


Component Matrixa

Component

1

CORP 1 ,686

CORP 2 ,782

CORP 3 ,921

CORP 4 ,770

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.


Component



1 2,524 63,092 63,092 2,524 63,092 63,092

2 ,740 18,493 81,585

3 ,538 13,453 95,038

4 ,198 4,962 100,000


Corporate Reputation

Uji Reliabilitas

Communalities

Initial Extraction

CORP 1 1,000 ,470

CORP 2 1,000 ,611

CORP 3 1,000 ,849

CORP 4 1,000 ,594


Component Analysis.


207


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,790 ,800 4

Item Statistics


CORP 1 5,53 1,137 30

CORP 2 6,23 ,817 30

CORP 3 5,83 ,950 30

CORP 4 5,70 ,952 30


CORP 1 CORP 2 CORP 3 CORP 4

CORP 1 1,000 ,270 ,564 ,408

CORP 2 ,270 1,000 ,718 ,448

CORP 3 ,564 ,718 1,000 ,591

CORP 4 ,408 ,448 ,591 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

CORP 1 17,77 5,357 ,495 ,366 ,806

CORP 2 17,07 6,271 ,565 ,545 ,758


N %


Excludeda 0 ,0

Total 30 100,0


the procedure.


208

CORP 3 17,47 4,947 ,805 ,697 ,631

CORP 4 17,60 5,697 ,583 ,360 ,746

Intention To Apply For A Job

Uji Validitas




df 10

Sig. ,000

Anti-image Matrices

INTENT 1 INTENT 2 INTENT 3 INTENT 4 INTENT 5

Anti-image Covariance INTENT 1 ,629 -,099 ,057 -,010 -,134

INTENT 2 -,099 ,331 ,091 -,137 -,180

INTENT 3 ,057 ,091 ,286 -,209 -,140

INTENT 4 -,010 -,137 -,209 ,282 ,065

INTENT 5 -,134 -,180 -,140 ,065 ,308

Anti-image Correlation INTENT 1 ,825a -,217 ,136 -,023 -,303

INTENT 2 -,217 ,684a ,297 -,449 -,565

INTENT 3 ,136 ,297 ,589a -,735 -,471

INTENT 4 -,023 -,449 -,735 ,634a ,221

INTENT 5 -,303 -,565 -,471 ,221 ,691a


209

a. Measures of Sampling Adequacy(MSA) Component Matrixa

Component

1

INTENT 1 ,629

INTENT 2 ,849

INTENT 3 ,784

INTENT 4 ,823

INTENT 5 ,875


Component Analysis.


Communalities

Initial Extraction

INTENT 1 1,000 ,395

INTENT 2 1,000 ,721

INTENT 3 1,000 ,614

INTENT 4 1,000 ,677

INTENT 5 1,000 ,765


Component Analysis.


Component



1 3,173 63,459 63,459 3,173 63,459 63,459

2 ,977 19,543 83,002

3 ,400 7,994 90,997

4 ,325 6,499 97,495

5 ,125 2,505 100,000


Intention To Apply For A Job

Uji Reliabilitas


N %


210


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,846 ,852 5

Item Statistics


INTENT 1 5,90 ,845 30

INTENT 2 6,07 ,828 30

INTENT 3 5,50 1,196 30

INTENT 4 5,73 1,015 30

INTENT 5 6,03 ,890 30


INTENT 1 INTENT 2 INTENT 3 INTENT 4 INTENT 5

INTENT 1 1,000 ,552 ,222 ,290 ,555

INTENT 2 ,552 1,000 ,453 ,597 ,746

INTENT 3 ,222 ,453 1,000 ,795 ,599

INTENT 4 ,290 ,597 ,795 1,000 ,545

INTENT 5 ,555 ,746 ,599 ,545 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

INTENT 1 23,33 11,126 ,453 ,371 ,861

INTENT 2 23,17 9,937 ,723 ,669 ,801

INTENT 3 23,73 8,409 ,656 ,714 ,823


Excludeda 0 ,0

Total 30 100,0


the procedure.


211

INTENT 4 23,50 8,948 ,727 ,718 ,794

INTENT 5 23,20 9,407 ,768 ,692 ,786

Job Characteristics - Autonomy

Uji Validitas




df 3

Sig. ,000

Anti-image Matrices

AUTONOMY 1 AUTONOMY 2 AUTONOMY 3

Anti-image Covariance AUTONOMY 1 ,796 -,169 ,085

AUTONOMY 2 -,169 ,251 -,223

AUTONOMY 3 ,085 -,223 ,284

Anti-image Correlation AUTONOMY 1 ,588a -,378 ,178

AUTONOMY 2 -,378 ,514a -,833

AUTONOMY 3 ,178 -,833 ,517a



212


Component



1 2,064 68,807 68,807 2,064 68,807 68,807

2 ,793 26,437 95,243

3 ,143 4,757 100,000


Job Characteristics - Autonomy

Uji Reliabilitas

Component Matrixa

Component

1

AUTONOMY 1 ,600

AUTONOMY 2 ,947

AUTONOMY 3 ,898


Component Analysis.


Communalities

Initial Extraction

AUTONOMY 1 1,000 ,360

AUTONOMY 2 1,000 ,897

AUTONOMY 3 1,000 ,807


Analysis.


N %



213


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,761 ,757 3

Item Statistics


AUTONOMY 1 6,03 ,890 30

AUTONOMY 2 5,73 ,944 30

AUTONOMY 3 5,57 ,935 30


AUTONOMY 1 AUTONOMY 2 AUTONOMY 3

AUTONOMY 1 1,000 ,421 ,267

AUTONOMY 2 ,421 1,000 ,841

AUTONOMY 3 ,267 ,841 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

AUTONOMY 1 11,30 3,252 ,359 ,204 ,913

AUTONOMY 2 11,60 2,110 ,799 ,749 ,420

AUTONOMY 3 11,77 2,392 ,667 ,716 ,592

Excludeda 0 ,0

Total 30 100,0


the procedure.


214

Job Characteristics - Feedback

Uji Validitas




df 3

Sig. ,000

Anti-image Matrices

FEEDBACK 1 FEEDBACK 2 FEEDBACK 3

Anti-image Covariance FEEDBACK 1 ,528 -,154 -,090

FEEDBACK 2 -,154 ,326 -,220

FEEDBACK 3 -,090 -,220 ,363

Anti-image Correlation FEEDBACK 1 ,822a -,372 -,207

FEEDBACK 2 -,372 ,662a -,639

FEEDBACK 3 -,207 -,639 ,691a


Communalities

Initial Extraction

FEEDBACK 1 1,000 ,722


215

Component Matrixa

Component

1

FEEDBACK 1 ,850

FEEDBACK 2 ,922

FEEDBACK 3 ,904


Component Analysis.


Job Characteristics - Feedback

Uji Reliabilitas


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,870 ,872 3

Item Statistics


FEEDBACK 1 5,80 ,925 30

FEEDBACK 2 5,93 ,868 30

FEEDBACK 3 5,80 ,887 30


FEEDBACK 2 1,000 ,851

FEEDBACK 3 1,000 ,817


Analysis.


N %


Excludeda 0 ,0

Total 30 100,0


the procedure.


216

FEEDBACK 1 FEEDBACK 2 FEEDBACK 3

FEEDBACK 1 1,000 ,670 ,622

FEEDBACK 2 ,670 1,000 ,788

FEEDBACK 3 ,622 ,788 1,000


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

FEEDBACK 1 11,73 2,754 ,683 ,472 ,881

FEEDBACK 2 11,60 2,662 ,808 ,674 ,767

FEEDBACK 3 11,73 2,685 ,769 ,637 ,801

Job Characteristics – Knowledge Of Result

Uji Validitas




df 3

Sig. ,000

Anti-image Matrices

KNOWLEDGE 1 KNOWLEDGE 2 KNOWLEDGE 3

Anti-image Covariance KNOWLEDGE 1 ,682 -,216 -,119


217

KNOWLEDGE 2 -,216 ,523 -,281

KNOWLEDGE 3 -,119 -,281 ,581

Anti-image Correlation KNOWLEDGE 1 ,754a -,362 -,188

KNOWLEDGE 2 -,362 ,639a -,510

KNOWLEDGE 3 -,188 -,510 ,675a


Communalities

Initial Extraction

KNOWLEDGE 1 1,000 ,623




Analysis.


Component



1 2,094 69,802 69,802 2,094 69,802 69,802

2 ,549 18,296 88,098

3 ,357 11,902 100,000

Component Matrixa

Component

1

KNOWLEDGE 1 ,790

KNOWLEDGE 2 ,875

KNOWLEDGE 3 ,840


Component Analysis.



218


Job Characteristics – Knowledge Of Result

Uji Reliabilitas


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,781 ,783 3

Item Statistics


KNOWLEDGE 1 5,90 ,845 30

KNOWLEDGE 2 5,83 ,791 30

KNOWLEDGE 3 5,77 ,817 30


KNOWLEDGE 1 KNOWLEDGE 2 KNOWLEDGE 3

KNOWLEDGE 1 1,000 ,541 ,464

KNOWLEDGE 2 ,541 1,000 ,631

KNOWLEDGE 3 ,464 ,631 1,000


N %


Excludeda 0 ,0

Total 30 100,0


the procedure.


219


Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Squared

Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

KNOWLEDGE 1 11,60 2,110 ,556 ,318 ,773

KNOWLEDGE 2 11,67 2,023 ,684 ,477 ,634

KNOWLEDGE 3 11,73 2,064 ,621 ,419 ,702

Data Main Test (Measurement)

Data Uji Validitas dan Reabilitas

Estimates (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model)

Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

IV <--- EA 1,166 ,129 9,063 ***

DV <--- EA ,975 ,114 8,531 ***

SV <--- EA ,977 ,114 8,551 ***

EV <--- EA 1,039 ,117 8,862 ***

AV <--- EA 1,000

IV4 <--- IV 1,000


220


IV3 <--- IV ,986 ,075 13,102 ***

IV2 <--- IV ,883 ,065 13,523 ***

IV1 <--- IV ,852 ,072 11,858 ***

DV4 <--- DV 1,000

DV3 <--- DV 1,144 ,093 12,346 ***

DV2 <--- DV 1,153 ,092 12,584 ***

DV1 <--- DV 1,012 ,092 10,990 ***

SV4 <--- SV 1,000

SV3 <--- SV 1,016 ,077 13,223 ***

SV2 <--- SV ,922 ,078 11,748 ***

SV1 <--- SV ,914 ,082 11,189 ***

SV5 <--- SV ,894 ,091 9,859 ***

EV3 <--- EV 1,000

EV2 <--- EV 1,067 ,083 12,848 ***

EV1 <--- EV ,968 ,082 11,794 ***

CR1 <--- CR 1,000

CR2 <--- CR 1,019 ,096 10,601 ***

CR3 <--- CR 1,218 ,121 10,032 ***

CR4 <--- CR 1,335 ,119 11,214 ***

USM1 <--- USM 1,000

USM2 <--- USM ,961 ,066 14,652 ***

USM3 <--- USM ,990 ,066 15,069 ***

USM4 <--- USM 1,017 ,066 15,482 ***

ITAJ2 <--- ITAJ 1,000

ITAJ3 <--- ITAJ ,944 ,069 13,631 ***

ITAJ4 <--- ITAJ ,843 ,066 12,725 ***

ITAJ1 <--- ITAJ ,884 ,070 12,669 ***


221


JC2 <--- JC 1,000

JC3 <--- JC 1,031 ,100 10,271 ***

JC4 <--- JC 1,052 ,105 10,030 ***

JC5 <--- JC ,994 ,097 10,217 ***

AV2 <--- AV 1,082 ,098 11,002 ***

AV1 <--- AV 1,000

AV3 <--- AV 1,162 ,097 11,978 ***

ITAJ5 <--- ITAJ ,743 ,063 11,741 ***

JC1 <--- JC 1,125 ,104 10,823 ***

JC6 <--- JC 1,077 ,099 10,898 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate

IV <--- EA ,847

DV <--- EA ,839

SV <--- EA ,797

EV <--- EA ,850

AV <--- EA ,861

IV4 <--- IV ,828

IV3 <--- IV ,812

IV2 <--- IV ,831

IV1 <--- IV ,755

DV4 <--- DV ,764

DV3 <--- DV ,844

DV2 <--- DV ,859

DV1 <--- DV ,762

SV4 <--- SV ,809


222

Estimate

SV3 <--- SV ,841

SV2 <--- SV ,768

SV1 <--- SV ,738

SV5 <--- SV ,667

EV3 <--- EV ,808

EV2 <--- EV ,843

EV1 <--- EV ,783

CR1 <--- CR ,735

CR2 <--- CR ,779

CR3 <--- CR ,738

CR4 <--- CR ,825

USM1 <--- USM ,798

USM2 <--- USM ,886

USM3 <--- USM ,903

USM4 <--- USM ,921

ITAJ2 <--- ITAJ ,829




JC2 <--- JC ,731

JC3 <--- JC ,743

JC4 <--- JC ,727

JC5 <--- JC ,739

AV2 <--- AV ,793

AV1 <--- AV ,749

AV3 <--- AV ,869



223

Estimate

JC1 <--- JC ,781

JC6 <--- JC ,787

Intercepts: (Group number 1 - Default model)


IV4

5,482 ,072 76,251 ***

IV3

5,487 ,072 75,944 ***

IV2

5,508 ,063 87,046 ***

IV1

5,487 ,067 81,708 ***

DV4

5,693 ,066 86,602 ***

DV3

5,618 ,068 82,443 ***

DV2

5,538 ,067 82,053 ***

DV1

5,673 ,067 84,943 ***

SV4

5,824 ,065 88,971 ***

SV3

5,819 ,064 90,896 ***

SV2

5,796 ,064 91,045 ***

SV1

5,804 ,066 88,529 ***

SV5

5,573 ,071 78,478 ***

EV3

5,739 ,065 87,778 ***

EV2

5,588 ,067 83,559 ***

EV1

5,593 ,065 85,646 ***

CR1

5,784 ,072 80,049 ***

CR2

5,693 ,069 81,925 ***

CR3

5,382 ,088 61,375 ***

CR4

5,457 ,086 63,460 ***

USM1

5,256 ,104 50,437 ***

USM2

5,241 ,090 58,120 ***


224


USM3

5,211 ,091 57,190 ***

USM4

5,296 ,092 57,743 ***

ITAJ2

5,447 ,080 68,223 ***

ITAJ3

5,558 ,077 72,573 ***

ITAJ4

5,719 ,072 79,820 ***

ITAJ5

5,739 ,067 85,765 ***

ITAJ1

5,724 ,075 75,945 ***

JC2

5,719 ,063 91,400 ***

JC3

5,688 ,063 89,637 ***

JC4

5,774 ,066 87,181 ***

JC5

5,774 ,061 93,948 ***

JC1

5,754 ,066 87,357 ***

JC6

5,794 ,063 92,512 ***

AV2

5,653 ,069 82,487 ***

AV1

5,648 ,067 84,183 ***

AV3

5,673 ,067 84,464 ***

Covariances: (Group number 1 - Default model)


EA <--> USM ,410 ,074 5,562 ***

EA <--> JC ,349 ,054 6,511 ***

CR <--> ITAJ ,595 ,084 7,066 ***

USM <--> ITAJ ,658 ,107 6,176 ***

ITAJ <--> JC ,495 ,071 6,991 ***

CR <--> JC ,311 ,053 5,852 ***

CR <--> USM ,536 ,091 5,916 ***

USM <--> JC ,319 ,068 4,678 ***


225


EA <--> CR ,347 ,057 6,111 ***

EA <--> ITAJ ,493 ,073 6,803 ***

Correlations: (Group number 1 - Default model)

Estimate

EA <--> USM ,576

EA <--> JC ,891

CR <--> ITAJ ,854

USM <--> ITAJ ,604

ITAJ <--> JC ,826

CR <--> JC ,646

CR <--> USM ,613

USM <--> JC ,424

EA <--> CR ,763

EA <--> ITAJ ,871

Variances: (Group number 1 - Default model)


CR

,559 ,097 5,780 ***

USM

1,369 ,205 6,664 ***

ITAJ

,867 ,123 7,024 ***

JC

,414 ,071 5,809 ***

EA

,370 ,072 5,132 ***

e39

,198 ,039 5,135 ***

e40

,148 ,030 4,927 ***

e41

,203 ,037 5,510 ***

e42

,153 ,033 4,694 ***


226


e46

,130 ,030 4,339 ***

e1

,322 ,042 7,621 ***

e2

,352 ,045 7,885 ***

e3

,246 ,032 7,567 ***

e4

,384 ,045 8,546 ***

e5

,356 ,042 8,503 ***

e6

,265 ,036 7,369 ***

e7

,237 ,034 7,020 ***

e8

,371 ,044 8,528 ***

e9

,293 ,037 7,831 ***

e10

,237 ,033 7,248 ***

e11

,328 ,039 8,335 ***

e12

,387 ,045 8,625 ***

e13

,554 ,061 9,069 ***

e14

,294 ,039 7,462 ***

e15

,256 ,038 6,683 ***

e16

,327 ,042 7,869 ***

e20

,475 ,056 8,517 ***

e21

,376 ,047 8,056 ***

e22

,693 ,082 8,492 ***

e23

,468 ,064 7,323 ***

e24

,782 ,088 8,842 ***

e25

,347 ,046 7,582 ***

e26

,302 ,043 7,031 ***

e27

,251 ,040 6,269 ***

e28

,395 ,048 8,226 ***

e29

,389 ,046 8,395 ***


227


e30

,401 ,046 8,757 ***

e31

,407 ,045 9,042 ***

e32

,447 ,051 8,775 ***

e33

,361 ,041 8,903 ***

e34

,357 ,040 8,823 ***

e35

,410 ,046 8,930 ***

e36

,339 ,038 8,848 ***

e37

,335 ,039 8,512 ***

e38

,296 ,035 8,461 ***

e43

,345 ,044 7,770 ***

e44

,392 ,047 8,333 ***

e47

,218 ,037 5,960 ***

Matrices (Group number 1 - Default model)

Total Effects (Group number 1 - Default model)

JC

ITA

J

US

M CR EA AV EV SV DV IV

AV ,000 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 1,03

9 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,977 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,975 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 1,16

6 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 1,16

2

1,16

2 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,000 ,000 1,00 1,00 ,000 ,000 ,000 ,000


228

JC

ITA

J

US


0 0

AV2 ,000 ,000 ,000 ,000 1,08

2

1,08

2 ,000 ,000 ,000 ,000

JC6 1,07

7 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 1,12

5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,994 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC4 1,05

2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 1,03

1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

1 ,000 ,884 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

5 ,000 ,743 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

4 ,000 ,843 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

3 ,000 ,944 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

2 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

4 ,000 ,000

1,01

7 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

3 ,000 ,000 ,990 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

2 ,000 ,000 ,961 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

1 ,000 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000


229

JC

ITA

J

US


CR4 ,000 ,000 ,000 1,33

5 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 1,21

8 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 1,01

9 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 1,00

5 ,000 ,968 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 1,10

9 ,000

1,06

7 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 1,03

9 ,000

1,00

0 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,873 ,000 ,000 ,894 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,892 ,000 ,000 ,914 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,900 ,000 ,000 ,922 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,993 ,000 ,000 1,01

6 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,977 ,000 ,000 1,00

0 ,000 ,000

DV1 ,000 ,000 ,000 ,000 ,987 ,000 ,000 ,000 1,01

2 ,000

DV2 ,000 ,000 ,000 ,000 1,12

4 ,000 ,000 ,000

1,15

3 ,000

DV3 ,000 ,000 ,000 ,000 1,11

5 ,000 ,000 ,000

1,14

4 ,000

DV4 ,000 ,000 ,000 ,000 ,975 ,000 ,000 ,000 1,00

0 ,000

IV1 ,000 ,000 ,000 ,000 ,993 ,000 ,000 ,000 ,000 ,852

IV2 ,000 ,000 ,000 ,000 1,03

0 ,000 ,000 ,000 ,000 ,883


230

JC

ITA

J

US


IV3 ,000 ,000 ,000 ,000 1,14

9 ,000 ,000 ,000 ,000 ,986

IV4 ,000 ,000 ,000 ,000 1,16

6 ,000 ,000 ,000 ,000

1,00

0

Standardized Total Effects (Group number 1 - Default model)

JC ITAJ USM CR EA AV EV SV DV IV

AV ,000 ,000 ,000 ,000 ,861 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 ,850 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,797 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,839 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 ,847 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 ,748 ,869 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,000 ,000 ,644 ,749 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 ,683 ,793 ,000 ,000 ,000 ,000

JC6 ,787 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,781 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,739 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC4 ,727 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,743 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,731 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,000 ,776 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,000 ,735 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,000 ,778 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,000 ,816 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,000 ,829 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,000 ,921 ,000 ,000 ,000 ,000 ,000 ,000 ,000


231


USM3 ,000 ,000 ,903 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,000 ,886 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,000 ,798 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 ,825 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 ,738 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 ,779 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 ,735 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 ,666 ,000 ,783 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 ,717 ,000 ,843 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 ,687 ,000 ,808 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,532 ,000 ,000 ,667 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,589 ,000 ,000 ,738 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,612 ,000 ,000 ,768 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,671 ,000 ,000 ,841 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,645 ,000 ,000 ,809 ,000 ,000

DV1 ,000 ,000 ,000 ,000 ,639 ,000 ,000 ,000 ,762 ,000

DV2 ,000 ,000 ,000 ,000 ,720 ,000 ,000 ,000 ,859 ,000

DV3 ,000 ,000 ,000 ,000 ,708 ,000 ,000 ,000 ,844 ,000

DV4 ,000 ,000 ,000 ,000 ,641 ,000 ,000 ,000 ,764 ,000

IV1 ,000 ,000 ,000 ,000 ,640 ,000 ,000 ,000 ,000 ,755

IV2 ,000 ,000 ,000 ,000 ,704 ,000 ,000 ,000 ,000 ,831

IV3 ,000 ,000 ,000 ,000 ,688 ,000 ,000 ,000 ,000 ,812

IV4 ,000 ,000 ,000 ,000 ,701 ,000 ,000 ,000 ,000 ,828

Direct Effects (Group number 1 - Default model)


232

JC

ITA

J

US


AV ,000 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 1,03

9 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,977 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,975 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 1,16

6 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 ,000 1,16

2 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 ,000 1,08

2 ,000 ,000 ,000 ,000

JC6 1,07

7 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 1,12

5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,994 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC4 1,05

2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 1,03

1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

1 ,000 ,884 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

5 ,000 ,743 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

4 ,000 ,843 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,000 ,944 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000


233

JC

ITA

J

US


3

ITAJ

2 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

4 ,000 ,000

1,01

7 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

3 ,000 ,000 ,990 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

2 ,000 ,000 ,961 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

1 ,000 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 1,33

5 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 1,21

8 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 1,01

9 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 ,000 ,000 ,968 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 ,000 ,000 1,06

7 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,894 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,914 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,922 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,01

6 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000


234

JC

ITA

J

US


DV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,01

2 ,000

DV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,15

3 ,000

DV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,14

4 ,000

DV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000

IV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,852

IV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,883

IV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,986

IV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0

Standardized Direct Effects (Group number 1 - Default model)


AV ,000 ,000 ,000 ,000 ,861 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 ,850 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,797 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,839 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 ,847 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 ,000 ,869 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,000 ,000 ,000 ,749 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 ,000 ,793 ,000 ,000 ,000 ,000

JC6 ,787 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,781 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,739 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC4 ,727 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000


235


JC3 ,743 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,731 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,000 ,776 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,000 ,735 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,000 ,778 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,000 ,816 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,000 ,829 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,000 ,921 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM3 ,000 ,000 ,903 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,000 ,886 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,000 ,798 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 ,825 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 ,738 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 ,779 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 ,735 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 ,000 ,000 ,783 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 ,000 ,000 ,843 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 ,000 ,000 ,808 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,667 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,738 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,768 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,841 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,809 ,000 ,000

DV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,762 ,000

DV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,859 ,000

DV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,844 ,000

DV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,764 ,000


236


IV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,755

IV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,831

IV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,812

IV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,828

Indirect Effects (Group number 1 - Default model)


AV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 1,162 ,000 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,000 ,000 1,000 ,000 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 1,082 ,000 ,000 ,000 ,000 ,000

JC6 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000


237


USM3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 1,005 ,000 ,000 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 1,109 ,000 ,000 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 1,039 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,873 ,000 ,000 ,000 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,892 ,000 ,000 ,000 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,900 ,000 ,000 ,000 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,993 ,000 ,000 ,000 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,977 ,000 ,000 ,000 ,000 ,000

DV1 ,000 ,000 ,000 ,000 ,987 ,000 ,000 ,000 ,000 ,000

DV2 ,000 ,000 ,000 ,000 1,124 ,000 ,000 ,000 ,000 ,000

DV3 ,000 ,000 ,000 ,000 1,115 ,000 ,000 ,000 ,000 ,000

DV4 ,000 ,000 ,000 ,000 ,975 ,000 ,000 ,000 ,000 ,000

IV1 ,000 ,000 ,000 ,000 ,993 ,000 ,000 ,000 ,000 ,000

IV2 ,000 ,000 ,000 ,000 1,030 ,000 ,000 ,000 ,000 ,000

IV3 ,000 ,000 ,000 ,000 1,149 ,000 ,000 ,000 ,000 ,000

IV4 ,000 ,000 ,000 ,000 1,166 ,000 ,000 ,000 ,000 ,000

Standardized Indirect Effects (Group number 1 - Default model)


AV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000


238


EV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 ,748 ,000 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,000 ,000 ,644 ,000 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 ,683 ,000 ,000 ,000 ,000 ,000

JC6 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 ,666 ,000 ,000 ,000 ,000 ,000


239


EV2 ,000 ,000 ,000 ,000 ,717 ,000 ,000 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 ,687 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,532 ,000 ,000 ,000 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,589 ,000 ,000 ,000 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,612 ,000 ,000 ,000 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,671 ,000 ,000 ,000 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,645 ,000 ,000 ,000 ,000 ,000

DV1 ,000 ,000 ,000 ,000 ,639 ,000 ,000 ,000 ,000 ,000

DV2 ,000 ,000 ,000 ,000 ,720 ,000 ,000 ,000 ,000 ,000

DV3 ,000 ,000 ,000 ,000 ,708 ,000 ,000 ,000 ,000 ,000

DV4 ,000 ,000 ,000 ,000 ,641 ,000 ,000 ,000 ,000 ,000

IV1 ,000 ,000 ,000 ,000 ,640 ,000 ,000 ,000 ,000 ,000

IV2 ,000 ,000 ,000 ,000 ,704 ,000 ,000 ,000 ,000 ,000

IV3 ,000 ,000 ,000 ,000 ,688 ,000 ,000 ,000 ,000 ,000

IV4 ,000 ,000 ,000 ,000 ,701 ,000 ,000 ,000 ,000 ,000

Model Fit Summary

CMIN

Model NPAR CMIN DF P CMIN/DF

Default model 129 1205,826 650 ,000 1,855

Saturated model 779 ,000 0

Independence model 38 6277,389 741 ,000 8,472

Baseline Comparisons

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model ,808 ,781 ,901 ,886 ,900

Saturated model 1,000

1,000

1,000


240

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Independence model ,000 ,000 ,000 ,000 ,000

Parsimony-Adjusted Measures

Model PRATIO PNFI PCFI

Default model ,877 ,709 ,789

Saturated model ,000 ,000 ,000

Independence model 1,000 ,000 ,000

NCP

Model NCP LO 90 HI 90

Default model 555,826 462,063 657,395


Independence model 5536,389 5286,837 5792,484

FMIN

Model FMIN F0 LO 90 HI 90

Default model 6,090 2,807 2,334 3,320

Saturated model ,000 ,000 ,000 ,000

Independence model 31,704 27,962 26,701 29,255

RMSEA

Model RMSEA LO 90 HI 90 PCLOSE

Default model ,066 ,060 ,071 ,000

Independence model ,194 ,190 ,199 ,000

AIC

Model AIC BCC BIC CAIC


241


Default model 1463,826 1527,109

Saturated model 1558,000 1940,151

Independence model 6353,389 6372,031

ECVI

Model ECVI LO 90 HI 90 MECVI

Default model 7,393 6,920 7,906 7,713

Saturated model 7,869 7,869 7,869 9,799


HOELTER

Model HOELTER

.05

HOELTER

.01

Default model 117 121

Independence model 26 27

Minimization: ,228

Miscellaneous: 4,994

Bootstrap: ,000

Total: 5,222

Data Maintest (Struktural)

Data Uji GOF dan Hipotesis

Computation of degrees of freedom (Default model)


242

Number of distinct sample moments: 779

Number of distinct parameters to be estimated: 123

Degrees of freedom (779 - 123): 656

Result (Default model)

Minimum was achieved

Chi-square = 1473,297

Degrees of freedom = 656

Probability level = ,000

Estimates (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model)

Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)


CR <--- EA ,672 ,090 7,487 ***

CR <--- USM ,205 ,038 5,364 ***

IV <--- EA 1,045 ,108 9,707 ***

DV <--- EA ,891 ,097 9,201 ***

SV <--- EA ,872 ,096 9,057 ***

EV <--- EA ,947 ,099 9,597 ***

ITAJ <--- JC ,494 ,068 7,271 ***

ITAJ <--- CR ,712 ,091 7,840 ***

AV <--- EA 1,000

IV4 <--- IV 1,000


243


IV3 <--- IV ,987 ,075 13,202 ***

IV2 <--- IV ,872 ,065 13,377 ***

IV1 <--- IV ,851 ,071 11,906 ***

DV4 <--- DV 1,000

DV3 <--- DV 1,135 ,090 12,556 ***

DV2 <--- DV 1,135 ,089 12,700 ***

DV1 <--- DV ,995 ,090 11,030 ***

SV4 <--- SV 1,000

SV3 <--- SV 1,019 ,078 13,042 ***

SV2 <--- SV ,933 ,079 11,752 ***

EV3 <--- EV 1,000

EV2 <--- EV 1,067 ,084 12,759 ***

EV1 <--- EV ,976 ,082 11,832 ***

AV3 <--- AV 1,000

AV2 <--- AV ,935 ,074 12,662 ***

AV1 <--- AV ,867 ,073 11,800 ***

USM1 <--- USM 1,000

USM2 <--- USM ,958 ,066 14,546 ***

USM3 <--- USM ,991 ,066 15,026 ***

USM4 <--- USM 1,020 ,066 15,486 ***

CR1 <--- CR 1,000

CR2 <--- CR 1,008 ,110 9,198 ***

CR4 <--- CR 1,340 ,136 9,865 ***

ITAJ1 <--- ITAJ 1,000

ITAJ2 <--- ITAJ 1,123 ,116 9,703 ***

ITAJ3 <--- ITAJ 1,055 ,112 9,462 ***

ITAJ4 <--- ITAJ ,948 ,105 9,012 ***


244


JC2 <--- JC ,931 ,090 10,318 ***

JC3 <--- JC ,954 ,091 10,439 ***

JC4 <--- JC ,980 ,096 10,258 ***

ITAJ5 <--- ITAJ ,837 ,099 8,416 ***

JC5 <--- JC ,917 ,089 10,359 ***

SV5 <--- SV ,897 ,092 9,777 ***

SV1 <--- SV ,924 ,083 11,179 ***

JC1 <--- JC 1,000

JC6 <--- JC 1,008 ,090 11,236 ***

CR3 <--- CR 1,213 ,138 8,772 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate

CR <--- EA ,684

CR <--- USM ,358

IV <--- EA ,846

DV <--- EA ,848

SV <--- EA ,800

EV <--- EA ,869

ITAJ <--- JC ,528

ITAJ <--- CR ,729

AV <--- EA ,831

IV4 <--- IV ,831

IV3 <--- IV ,816

IV2 <--- IV ,824

IV1 <--- IV ,757

DV4 <--- DV ,773


245

Estimate

DV3 <--- DV ,846

DV2 <--- DV ,854

DV1 <--- DV ,757

SV4 <--- SV ,805

SV3 <--- SV ,839

SV2 <--- SV ,773

EV3 <--- EV ,806

EV2 <--- EV ,841

EV1 <--- EV ,787

AV3 <--- AV ,866

AV2 <--- AV ,794

AV1 <--- AV ,752

USM1 <--- USM ,797

USM2 <--- USM ,883

USM3 <--- USM ,903

USM4 <--- USM ,924

CR1 <--- CR ,693

CR2 <--- CR ,731

CR4 <--- CR ,792





JC2 <--- JC ,738

JC3 <--- JC ,746

JC4 <--- JC ,734



246

Estimate

JC5 <--- JC ,741

SV5 <--- SV ,666

SV1 <--- SV ,742

JC1 <--- JC ,754

JC6 <--- JC ,799

CR3 <--- CR ,693

Intercepts: (Group number 1 - Default model)


IV4

5,482 ,072 76,251 ***

IV3

5,487 ,072 75,944 ***

IV2

5,508 ,063 87,046 ***

IV1

5,487 ,067 81,708 ***

DV4

5,693 ,066 86,602 ***

DV3

5,618 ,068 82,443 ***

DV2

5,538 ,067 82,053 ***

DV1

5,673 ,067 84,943 ***

SV4

5,824 ,065 88,971 ***

SV3

5,819 ,064 90,896 ***

SV2

5,796 ,064 91,049 ***

SV1

5,804 ,066 88,529 ***

EV3

5,739 ,065 87,778 ***

EV2

5,588 ,067 83,559 ***

EV1

5,593 ,065 85,646 ***

AV3

5,673 ,067 84,464 ***

AV2

5,653 ,069 82,487 ***

AV1

5,648 ,067 84,183 ***


247


SV5

5,573 ,071 78,478 ***

USM1

5,256 ,104 50,437 ***

USM2

5,241 ,090 58,120 ***

USM3

5,211 ,091 57,190 ***

USM4

5,296 ,092 57,743 ***

CR1

5,784 ,068 84,462 ***

CR2

5,693 ,065 86,926 ***

CR3

5,382 ,083 64,757 ***

CR4

5,457 ,080 67,996 ***

ITAJ1

5,724 ,066 86,585 ***

ITAJ2

5,447 ,069 79,261 ***

ITAJ3

5,558 ,066 83,726 ***

ITAJ4

5,719 ,063 90,939 ***

JC1

5,754 ,066 87,357 ***

JC2

5,719 ,063 91,400 ***

JC3

5,688 ,063 89,637 ***

JC4

5,774 ,066 87,181 ***

ITAJ5

5,739 ,060 96,184 ***

JC5

5,774 ,061 93,948 ***

JC6

5,794 ,063 92,512 ***

Variances: (Group number 1 - Default model)


USM

1,367 ,205 6,654 ***

JC

,488 ,081 5,994 ***

EA

,463 ,081 5,703 ***

e45

,180 ,039 4,587 ***


248


e39

,201 ,041 4,881 ***

e40

,143 ,031 4,636 ***

e41

,198 ,038 5,261 ***

e42

,135 ,032 4,158 ***

e43

,208 ,043 4,838 ***

e44

,081 ,025 3,235 ,001

e1

,317 ,042 7,505 ***

e2

,346 ,044 7,769 ***

e3

,255 ,033 7,637 ***

e4

,382 ,045 8,494 ***

e5

,345 ,041 8,400 ***

e6

,262 ,036 7,286 ***

e7

,243 ,034 7,083 ***

e8

,378 ,044 8,552 ***

e9

,299 ,038 7,867 ***

e10

,240 ,033 7,256 ***

e11

,322 ,039 8,254 ***

e12

,382 ,045 8,571 ***

e13

,296 ,040 7,488 ***

e14

,259 ,038 6,728 ***

e15

,321 ,041 7,796 ***

e16

,223 ,039 5,761 ***

e17

,344 ,046 7,556 ***

e19

,556 ,061 9,062 ***

e20

,783 ,089 8,817 ***

e21

,356 ,047 7,587 ***

e22

,303 ,044 6,932 ***


249


e23

,243 ,040 6,011 ***

e24

,482 ,056 8,639 ***

e25

,396 ,048 8,322 ***

e26

,711 ,082 8,640 ***

e27

,475 ,063 7,540 ***

e28

,439 ,051 8,646 ***

e29

,397 ,049 8,120 ***

e30

,398 ,048 8,341 ***

e31

,399 ,046 8,662 ***

e32

,371 ,044 8,394 ***

e33

,353 ,041 8,534 ***

e34

,353 ,042 8,463 ***

e35

,400 ,047 8,567 ***

e36

,406 ,045 8,968 ***

e37

,337 ,040 8,510 ***

e38

,281 ,036 7,855 ***

e18

,388 ,048 8,153 ***

Matrices (Group number 1 - Default model)

Total Effects (Group number 1 - Default model)

JC

US

M EA CR

ITA

J AV EV SV DV IV

CR ,000 ,205 ,672 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,494 ,146 ,479 ,712 ,000 ,000 ,000 ,000 ,000 ,000

AV ,000 ,000 1,00 ,000 ,000 ,000 ,000 ,000 ,000 ,000


250

JC

US

M EA CR

ITA

J AV EV SV DV IV

0

EV ,000 ,000 ,947 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,872 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,891 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 1,04

5 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC6 1,00

8 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,917 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

5 ,413 ,122 ,401 ,596 ,837 ,000 ,000 ,000 ,000 ,000

JC4 ,980 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,954 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,931 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

4 ,469 ,138 ,454 ,676 ,948 ,000 ,000 ,000 ,000 ,000

ITAJ

3 ,521 ,154 ,505 ,752

1,05

5 ,000 ,000 ,000 ,000 ,000

ITAJ

2 ,555 ,164 ,538 ,800

1,12

3 ,000 ,000 ,000 ,000 ,000

ITAJ

1 ,494 ,146 ,479 ,712

1,00

0 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,274 ,900 1,34

0 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,248 ,815 1,21

3 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,206 ,677 1,00

8 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,205 ,672 1,00 ,000 ,000 ,000 ,000 ,000 ,000


251

JC

US

M EA CR

ITA

J AV EV SV DV IV

0

USM

4 ,000

1,02

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

3 ,000 ,991 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

2 ,000 ,958 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

1 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,782 ,000 ,000 ,000 ,000 ,897 ,000 ,000

AV1 ,000 ,000 ,867 ,000 ,000 ,867 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,935 ,000 ,000 ,935 ,000 ,000 ,000 ,000

AV3 ,000 ,000 1,00

0 ,000 ,000

1,00

0 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,925 ,000 ,000 ,000 ,976 ,000 ,000 ,000

EV2 ,000 ,000 1,01

1 ,000 ,000 ,000

1,06

7 ,000 ,000 ,000

EV3 ,000 ,000 ,947 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000

SV1 ,000 ,000 ,805 ,000 ,000 ,000 ,000 ,924 ,000 ,000

SV2 ,000 ,000 ,813 ,000 ,000 ,000 ,000 ,933 ,000 ,000

SV3 ,000 ,000 ,889 ,000 ,000 ,000 ,000 1,01

9 ,000 ,000

SV4 ,000 ,000 ,872 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000

DV1 ,000 ,000 ,887 ,000 ,000 ,000 ,000 ,000 ,995 ,000

DV2 ,000 ,000 1,01

2 ,000 ,000 ,000 ,000 ,000

1,13

5 ,000

DV3 ,000 ,000 1,01

1 ,000 ,000 ,000 ,000 ,000

1,13

5 ,000

DV4 ,000 ,000 ,891 ,000 ,000 ,000 ,000 ,000 1,00 ,000


252

JC

US

M EA CR

ITA

J AV EV SV DV IV

0

IV1 ,000 ,000 ,889 ,000 ,000 ,000 ,000 ,000 ,000 ,851

IV2 ,000 ,000 ,912 ,000 ,000 ,000 ,000 ,000 ,000 ,872

IV3 ,000 ,000 1,03

1 ,000 ,000 ,000 ,000 ,000 ,000 ,987

IV4 ,000 ,000 1,04

5 ,000 ,000 ,000 ,000 ,000 ,000

1,00

0

Standardized Total Effects (Group number 1 - Default model)

JC USM EA CR ITAJ AV EV SV DV IV

CR ,000 ,358 ,684 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,528 ,261 ,499 ,729 ,000 ,000 ,000 ,000 ,000 ,000

AV ,000 ,000 ,831 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,869 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,800 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,848 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,846 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC6 ,799 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,741 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,344 ,170 ,324 ,474 ,651 ,000 ,000 ,000 ,000 ,000

JC4 ,734 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,746 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,738 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,754 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,370 ,183 ,349 ,510 ,700 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,390 ,193 ,368 ,538 ,738 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,401 ,198 ,378 ,553 ,758 ,000 ,000 ,000 ,000 ,000


253


ITAJ1 ,371 ,183 ,350 ,512 ,702 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,284 ,542 ,792 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,248 ,474 ,693 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,262 ,500 ,731 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,248 ,474 ,693 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,924 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM3 ,000 ,903 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,883 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,797 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,532 ,000 ,000 ,000 ,000 ,666 ,000 ,000

AV1 ,000 ,000 ,624 ,000 ,000 ,752 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,659 ,000 ,000 ,794 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,720 ,000 ,000 ,866 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,684 ,000 ,000 ,000 ,787 ,000 ,000 ,000

EV2 ,000 ,000 ,731 ,000 ,000 ,000 ,841 ,000 ,000 ,000

EV3 ,000 ,000 ,700 ,000 ,000 ,000 ,806 ,000 ,000 ,000

SV1 ,000 ,000 ,593 ,000 ,000 ,000 ,000 ,742 ,000 ,000

SV2 ,000 ,000 ,618 ,000 ,000 ,000 ,000 ,773 ,000 ,000

SV3 ,000 ,000 ,671 ,000 ,000 ,000 ,000 ,839 ,000 ,000

SV4 ,000 ,000 ,644 ,000 ,000 ,000 ,000 ,805 ,000 ,000

DV1 ,000 ,000 ,642 ,000 ,000 ,000 ,000 ,000 ,757 ,000

DV2 ,000 ,000 ,725 ,000 ,000 ,000 ,000 ,000 ,854 ,000

DV3 ,000 ,000 ,717 ,000 ,000 ,000 ,000 ,000 ,846 ,000

DV4 ,000 ,000 ,655 ,000 ,000 ,000 ,000 ,000 ,773 ,000

IV1 ,000 ,000 ,640 ,000 ,000 ,000 ,000 ,000 ,000 ,757

IV2 ,000 ,000 ,697 ,000 ,000 ,000 ,000 ,000 ,000 ,824

IV3 ,000 ,000 ,690 ,000 ,000 ,000 ,000 ,000 ,000 ,816


254


IV4 ,000 ,000 ,703 ,000 ,000 ,000 ,000 ,000 ,000 ,831

Direct Effects (Group number 1 - Default model)

JC

US

M EA CR

ITA

J AV EV SV DV IV

CR ,000 ,205 ,672 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,494 ,000 ,000 ,712 ,000 ,000 ,000 ,000 ,000 ,000

AV ,000 ,000 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,947 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,872 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,891 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 1,04

5 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC6 1,00

8 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,917 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

5 ,000 ,000 ,000 ,000 ,837 ,000 ,000 ,000 ,000 ,000

JC4 ,980 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,954 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,931 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ

4 ,000 ,000 ,000 ,000 ,948 ,000 ,000 ,000 ,000 ,000

ITAJ

3 ,000 ,000 ,000 ,000

1,05

5 ,000 ,000 ,000 ,000 ,000

ITAJ

2 ,000 ,000 ,000 ,000

1,12

3 ,000 ,000 ,000 ,000 ,000


255

JC

US

M EA CR

ITA

J AV EV SV DV IV

ITAJ

1 ,000 ,000 ,000 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 1,34

0 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 1,21

3 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 1,00

8 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000 ,000 ,000

USM

4 ,000

1,02

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

3 ,000 ,991 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

2 ,000 ,958 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM

1 ,000

1,00

0 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,897 ,000 ,000

AV1 ,000 ,000 ,000 ,000 ,000 ,867 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 ,000 ,935 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 ,000 ,000 ,976 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 ,000 ,000 1,06

7 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,924 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,933 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,01 ,000 ,000


256

JC

US

M EA CR

ITA

J AV EV SV DV IV

9

SV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000 ,000

DV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,995 ,000

DV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,13

5 ,000

DV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,13

5 ,000

DV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0 ,000

IV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,851

IV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,872

IV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,987

IV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 1,00

0

Standardized Direct Effects (Group number 1 - Default model)


CR ,000 ,358 ,684 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,528 ,000 ,000 ,729 ,000 ,000 ,000 ,000 ,000 ,000

AV ,000 ,000 ,831 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,869 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,800 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,848 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,846 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC6 ,799 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,741 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,000 ,000 ,000 ,000 ,651 ,000 ,000 ,000 ,000 ,000


257


JC4 ,734 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,746 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,738 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,754 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,000 ,000 ,000 ,000 ,700 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,000 ,000 ,000 ,000 ,738 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,000 ,000 ,000 ,000 ,758 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,000 ,000 ,000 ,000 ,702 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,000 ,000 ,792 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,000 ,000 ,693 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,000 ,000 ,731 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,000 ,000 ,693 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,924 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM3 ,000 ,903 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,883 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,797 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,666 ,000 ,000

AV1 ,000 ,000 ,000 ,000 ,000 ,752 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,000 ,000 ,000 ,794 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,000 ,000 ,000 ,866 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,000 ,000 ,000 ,000 ,787 ,000 ,000 ,000

EV2 ,000 ,000 ,000 ,000 ,000 ,000 ,841 ,000 ,000 ,000

EV3 ,000 ,000 ,000 ,000 ,000 ,000 ,806 ,000 ,000 ,000

SV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,742 ,000 ,000

SV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,773 ,000 ,000

SV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,839 ,000 ,000

SV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,805 ,000 ,000


258


DV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,757 ,000

DV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,854 ,000

DV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,846 ,000

DV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,773 ,000

IV1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,757

IV2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,824

IV3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,816

IV4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,831

Indirect Effects (Group number 1 - Default model)


CR ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,000 ,146 ,479 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC6 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,413 ,122 ,401 ,596 ,000 ,000 ,000 ,000 ,000 ,000

JC4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,469 ,138 ,454 ,676 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,521 ,154 ,505 ,752 ,000 ,000 ,000 ,000 ,000 ,000


259


ITAJ2 ,555 ,164 ,538 ,800 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,494 ,146 ,479 ,712 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,274 ,900 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,248 ,815 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,206 ,677 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,205 ,672 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,782 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,867 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,935 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 1,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,925 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV2 ,000 ,000 1,011 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV3 ,000 ,000 ,947 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV1 ,000 ,000 ,805 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV2 ,000 ,000 ,813 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV3 ,000 ,000 ,889 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV4 ,000 ,000 ,872 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV1 ,000 ,000 ,887 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV2 ,000 ,000 1,012 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV3 ,000 ,000 1,011 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV4 ,000 ,000 ,891 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV1 ,000 ,000 ,889 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV2 ,000 ,000 ,912 ,000 ,000 ,000 ,000 ,000 ,000 ,000


260


IV3 ,000 ,000 1,031 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV4 ,000 ,000 1,045 ,000 ,000 ,000 ,000 ,000 ,000 ,000

Standardized Indirect Effects (Group number 1 - Default model)


CR ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ ,000 ,261 ,499 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC6 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC5 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ5 ,344 ,170 ,324 ,474 ,000 ,000 ,000 ,000 ,000 ,000

JC4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

JC1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ4 ,370 ,183 ,349 ,510 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ3 ,390 ,193 ,368 ,538 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ2 ,401 ,198 ,378 ,553 ,000 ,000 ,000 ,000 ,000 ,000

ITAJ1 ,371 ,183 ,350 ,512 ,000 ,000 ,000 ,000 ,000 ,000

CR4 ,000 ,284 ,542 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR3 ,000 ,248 ,474 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR2 ,000 ,262 ,500 ,000 ,000 ,000 ,000 ,000 ,000 ,000

CR1 ,000 ,248 ,474 ,000 ,000 ,000 ,000 ,000 ,000 ,000


261


USM4 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM3 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM2 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

USM1 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV5 ,000 ,000 ,532 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV1 ,000 ,000 ,624 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV2 ,000 ,000 ,659 ,000 ,000 ,000 ,000 ,000 ,000 ,000

AV3 ,000 ,000 ,720 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV1 ,000 ,000 ,684 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV2 ,000 ,000 ,731 ,000 ,000 ,000 ,000 ,000 ,000 ,000

EV3 ,000 ,000 ,700 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV1 ,000 ,000 ,593 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV2 ,000 ,000 ,618 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV3 ,000 ,000 ,671 ,000 ,000 ,000 ,000 ,000 ,000 ,000

SV4 ,000 ,000 ,644 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV1 ,000 ,000 ,642 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV2 ,000 ,000 ,725 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV3 ,000 ,000 ,717 ,000 ,000 ,000 ,000 ,000 ,000 ,000

DV4 ,000 ,000 ,655 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV1 ,000 ,000 ,640 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV2 ,000 ,000 ,697 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV3 ,000 ,000 ,690 ,000 ,000 ,000 ,000 ,000 ,000 ,000

IV4 ,000 ,000 ,703 ,000 ,000 ,000 ,000 ,000 ,000 ,000

Minimization History (Default model)

Iter

atio

n

Negative

eigenvalues

Condition

#

Smallest

eigenvalue Diameter F NTries

Ra

tio


262

Iter

atio

n

Negative

eigenvalues

Condition

#

Smallest

eigenvalue Diameter F NTries

Ra

tio

0 e 19

-,828 9999,000 6231,854 0

99

99,

00

0

1 e 22

-,325 5,268 3682,421 20 ,31

6

2 e

* 8

-,258 1,881 2408,866 5

,88

7

3 e

* 1

-,053 1,907 1841,162 5

,61

3

4 e 0 1784,929

,931 1561,607 5 ,90

8

5 e 0 785,104

,611 1501,849 2 ,00

0

6 e 0 871,603

,329 1474,637 1 1,1

09

7 e 0 892,296

,110 1473,310 1 1,0

55

8 e 0 899,012

,013 1473,297 1 1,0

10

Model Fit Summary

CMIN

Model NPAR CMIN DF P CMIN/DF

Default model 123 1473,297 656 ,000 2,246

Saturated model 779 ,000 0

Independence model 38 6277,389 741 ,000 8,472

Baseline Comparisons


263

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model ,765 ,735 ,855 ,833 ,852

Saturated model 1,000

1,000

1,000

Independence model ,000 ,000 ,000 ,000 ,000

Parsimony-Adjusted Measures

Model PRATIO PNFI PCFI

Default model ,885 ,678 ,755


Independence model 1,000 ,000 ,000

NCP

Model NCP LO 90 HI 90

Default model 817,297 709,788 932,515


Independence model 5536,389 5286,837 5792,484

FMIN

Model FMIN F0 LO 90 HI 90

Default model 7,441 4,128 3,585 4,710

Saturated model ,000 ,000 ,000 ,000


RMSEA


Default model ,079 ,074 ,085 ,000


264


Independence model ,194 ,190 ,199 ,000

AIC


Default model 1719,297 1779,637

Saturated model 1558,000 1940,151

Independence model 6353,389 6372,031

ECVI

Model ECVI LO 90 HI 90 MECVI

Default model 8,683 8,140 9,265 8,988

Saturated model 7,869 7,869 7,869 9,799


HOELTER

Model HOELTER

.05

HOELTER

.01

Default model 97 100

Independence model 26 27

Minimization: ,286

Miscellaneous: 6,955

Bootstrap: ,000

Total: 7,241


265


Documents

LAMPIRAN - kc.umn.ac.idkc.umn.ac.id/5805/8/LAMPIRAN.pdf · contoh perusahaan leasing yang teman” ketahui? apakah temen-temen mengetahui tantang ACC? Dan apa yang temen” bayangkan