MEANS TABLES=T0 T1 T2 BY Kelompok /CELLS=MEAN COUNT STDDEV.

Means

Notes

Output Created 22-OCT-2015 14:53:12

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 45

Missing Value Handling Definition of Missing For each dependent variable in a table, user-

defined missing values for the dependent

and all grouping variables are treated as

missing.

Cases Used Cases used for each table have no missing

values in any independent variable, and not

all dependent variables have missing values.

Syntax MEANS TABLES=T0 T1 T2 BY Kelompok

/CELLS=MEAN COUNT STDDEV.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.06

[DataSet0]

Case Processing Summary

Cases

Included Excluded Total

N Percent N Percent N Percent

T0 * Kelompok 45 100.0% 0 0.0% 45 100.0%

T1 * Kelompok 45 100.0% 0 0.0% 45 100.0%

T2 * Kelompok 45 100.0% 0 0.0% 45 100.0%

Report

Kelompok T0 T1 T2

Keju Cheddar Mean 14.0000 18.9333 22.2667

N 15 15 15

Std. Deviation 17.45607 29.14610 29.19263

Dangke Mean 14.0000 11.6667 2.1333

N 15 15 15

Std. Deviation 17.45607 18.23915 3.27036

kontrol Mean 14.0000 14.0000 19.0667

N 15 15 15

Std. Deviation 17.45607 17.45607 19.30754

Total Mean 14.0000 14.8667 14.4889

N 45 45 45

Std. Deviation 17.05472 21.96547 21.74817

ONEWAY T0 T1 T2 BY Kelompok /MISSING ANALYSIS /POSTHOC=LSD ALPHA(0.05).

Oneway

Notes

Output Created 22-OCT-2015 14:53:27

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 45

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics for each analysis are based on

cases with no missing data for any variable

in the analysis.

Syntax ONEWAY T0 T1 T2 BY Kelompok

/MISSING ANALYSIS

/POSTHOC=LSD ALPHA(0.05).

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.09

ANOVA

Sum of Squares df Mean Square F Sig.

T0 Between Groups .000 2 .000 .000 1.000

Within Groups 12798.000 42 304.714

Total 12798.000 44

T1 Between Groups 412.933 2 206.467 .417 .662

Within Groups 20816.267 42 495.625

Total 21229.200 44

T2 Between Groups 3511.644 2 1755.822 4.263 .021

Within Groups 17299.600 42 411.895

Total 20811.244 44

Post Hoc Tests

Multiple Comparisons

LSD

Dependent Variable (I) Kelompok (J) Kelompok

Mean Difference

(I-J) Std. Error Sig.

95% Confidence Interval

Lower Bound Upper Bound

T0 Keju Cheddar Dangke .00000 6.37405 1.000 -12.8634 12.8634

kontrol .00000 6.37405 1.000 -12.8634 12.8634

Dangke Keju Cheddar .00000 6.37405 1.000 -12.8634 12.8634

kontrol .00000 6.37405 1.000 -12.8634 12.8634

kontrol Keju Cheddar .00000 6.37405 1.000 -12.8634 12.8634

Dangke .00000 6.37405 1.000 -12.8634 12.8634

T1 Keju Cheddar Dangke 7.26667 8.12917 .376 -9.1387 23.6720

kontrol 4.93333 8.12917 .547 -11.4720 21.3387

Dangke Keju Cheddar -7.26667 8.12917 .376 -23.6720 9.1387

kontrol -2.33333 8.12917 .775 -18.7387 14.0720

kontrol Keju Cheddar -4.93333 8.12917 .547 -21.3387 11.4720

Dangke 2.33333 8.12917 .775 -14.0720 18.7387

T2 Keju Cheddar Dangke 20.13333* 7.41076 .010 5.1778 35.0889

kontrol 3.20000 7.41076 .668 -11.7555 18.1555

Dangke Keju Cheddar -20.13333* 7.41076 .010 -35.0889 -5.1778

kontrol -16.93333* 7.41076 .027 -31.8889 -1.9778

kontrol Keju Cheddar -3.20000 7.41076 .668 -18.1555 11.7555

Dangke 16.93333* 7.41076 .027 1.9778 31.8889

*. The mean difference is significant at the 0.05 level.

Repeated Anova Secara KeseluruhanGLM T0 T1 T2 /WSFACTOR=T 3 Polynomial /MEASURE=Plak /METHOD=SSTYPE(3) /EMMEANS=TABLES(T) COMPARE ADJ(BONFERRONI) /CRITERIA=ALPHA(.05) /WSDESIGN=T.

General Linear Model

Notes

Output Created 22-OCT-2015 14:54:24

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 45

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the model.

Syntax GLM T0 T1 T2

/WSFACTOR=T 3 Polynomial

/MEASURE=Plak

/METHOD=SSTYPE(3)

/EMMEANS=TABLES(T) COMPARE

ADJ(BONFERRONI)

/CRITERIA=ALPHA(.05)

/WSDESIGN=T.

Resources Processor Time 00:00:00.06

Elapsed Time 00:00:00.14

Within-Subjects Factors

Measure: Plak

T

Dependent

Variable

1 T0

2 T1

3 T2

Multivariate Testsa

Effect Value F Hypothesis df Error df Sig.

T Pillai's Trace .001 .032b 2.000 43.000 .969

Wilks' Lambda .999 .032b 2.000 43.000 .969

Hotelling's Trace .001 .032b 2.000 43.000 .969

Roy's Largest Root .001 .032b 2.000 43.000 .969

a. Design: Intercept

Within Subjects Design: T

b. Exact statistic

Mauchly's Test of Sphericitya

Measure: Plak

Within Subjects Effect Mauchly's W

Approx. Chi-

Square df Sig.

Epsilonb

Greenhouse-

Geisser Huynh-Feldt Lower-bound

T .962 1.649 2 .438 .964 1.000 .500

Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.

a. Design: Intercept

Within Subjects Design: T

b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects

Effects table.

Tests of Within-Subjects Effects

Measure: Plak

Source

Type III Sum of

Squares df Mean Square F Sig.

T Sphericity Assumed 16.993 2 8.496 .034 .966

Greenhouse-Geisser 16.993 1.927 8.816 .034 .963

Huynh-Feldt 16.993 2.000 8.496 .034 .966

Lower-bound 16.993 1.000 16.993 .034 .854

Error(T) Sphericity Assumed 21697.674 88 246.564

Greenhouse-Geisser 21697.674 84.809 255.843

Huynh-Feldt 21697.674 88.000 246.564

Lower-bound 21697.674 44.000 493.129

Tests of Within-Subjects Contrasts

Measure: Plak

Source T

Type III Sum of

Squares df Mean Square F Sig.

T Linear 5.378 1 5.378 .027 .870

Quadratic 11.615 1 11.615 .039 .843

Error(T) Linear 8750.622 44 198.878

Quadratic 12947.052 44 294.251

Tests of Between-Subjects Effects

Measure: Plak

Transformed Variable: Average

Source

Type III Sum of

Squares df Mean Square F Sig.

Intercept 28195.563 1 28195.563 37.434 .000

Error 33140.770 44 753.199

Estimated Marginal Means

T

Estimates

Measure: Plak

T Mean Std. Error

95% Confidence Interval

Lower Bound Upper Bound

1 14.000 2.542 8.876 19.124

2 14.867 3.274 8.268 21.466

3 14.489 3.242 7.955 21.023

Pairwise Comparisons

Measure: Plak

(I) T (J) T

Mean Difference

(I-J) Std. Error Sig.a

95% Confidence Interval for

Differencea

Lower Bound Upper Bound

1 2 -.867 3.487 1.000 -9.546 7.813

3 -.489 2.973 1.000 -7.889 6.911

2 1 .867 3.487 1.000 -7.813 9.546

3 .378 3.446 1.000 -8.200 8.955

3 1 .489 2.973 1.000 -6.911 7.889

2 -.378 3.446 1.000 -8.955 8.200

Based on estimated marginal means

a. Adjustment for multiple comparisons: Bonferroni.

Multivariate Tests

Value F Hypothesis df Error df Sig.

Pillai's trace .001 .032a 2.000 43.000 .969

Wilks' lambda .999 .032a 2.000 43.000 .969

Hotelling's trace .001 .032a 2.000 43.000 .969

Roy's largest root .001 .032a 2.000 43.000 .969

Each F tests the multivariate effect of T. These tests are based on the linearly independent pairwise

comparisons among the estimated marginal means.

a. Exact statistic

Repeated Anova Pada Kelompok Keju CheddarUSE ALL.COMPUTE filter_$=(Kelompok = 1).VARIABLE LABELS filter_$ 'Kelompok = 1 (FILTER)'.VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.FORMATS filter_$ (f1.0).FILTER BY filter_$.EXECUTE.GLM T0 T1 T2 /WSFACTOR=T 3 Polynomial /MEASURE=Plak /METHOD=SSTYPE(3) /EMMEANS=TABLES(T) COMPARE ADJ(BONFERRONI) /CRITERIA=ALPHA(.05) /WSDESIGN=T.

General Linear Model

Notes

Output Created 22-OCT-2015 14:54:51

Comments

Input Active Dataset DataSet0

Filter Kelompok = 1 (FILTER)

Weight <none>

Split File <none>

N of Rows in Working Data File 15

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the model.

Syntax GLM T0 T1 T2

/WSFACTOR=T 3 Polynomial

/MEASURE=Plak

/METHOD=SSTYPE(3)

/EMMEANS=TABLES(T) COMPARE

ADJ(BONFERRONI)

/CRITERIA=ALPHA(.05)

/WSDESIGN=T.

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.25

Within-Subjects Factors

Measure: Plak

T

Dependent

Variable

1 T0

2 T1

3 T2

Multivariate Testsa

Effect Value F Hypothesis df Error df Sig.

T Pillai's Trace .113 .828b 2.000 13.000 .459

Wilks' Lambda .887 .828b 2.000 13.000 .459

Hotelling's Trace .127 .828b 2.000 13.000 .459

Roy's Largest Root .127 .828b 2.000 13.000 .459

a. Design: Intercept

Within Subjects Design: T

b. Exact statistic

Mauchly's Test of Sphericitya

Measure: Plak

Within Subjects Effect Mauchly's W

Approx. Chi-

Square df Sig.

Epsilonb

Greenhouse-

Geisser Huynh-Feldt Lower-bound

T .865 1.878 2 .391 .881 .999 .500

Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.

a. Design: Intercept

Within Subjects Design: T

b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects

Effects table.

Tests of Within-Subjects Effects

Measure: Plak

Source

Type III Sum of

Squares df Mean Square F Sig.

T Sphericity Assumed 518.933 2 259.467 .566 .574

Greenhouse-Geisser 518.933 1.763 294.377 .566 .554

Huynh-Feldt 518.933 1.997 259.807 .566 .574

Lower-bound 518.933 1.000 518.933 .566 .464

Error(T) Sphericity Assumed 12846.400 28 458.800

Greenhouse-Geisser 12846.400 24.679 520.529

Huynh-Feldt 12846.400 27.963 459.401

Lower-bound 12846.400 14.000 917.600

Tests of Within-Subjects Contrasts

Measure: Plak

Source T

Type III Sum of

Squares df Mean Square F Sig.

T Linear 512.533 1 512.533 1.714 .212

Quadratic 6.400 1 6.400 .010 .920

Error(T) Linear 4186.467 14 299.033

Quadratic 8659.933 14 618.567

Tests of Between-Subjects Effects

Measure: Plak

Transformed Variable: Average

Source

Type III Sum of

Squares df Mean Square F Sig.

Intercept 15235.200 1 15235.200 13.992 .002

Error 15243.467 14 1088.819

Estimated Marginal Means

T

Estimates

Measure: Plak

T Mean Std. Error

95% Confidence Interval

Lower Bound Upper Bound

1 14.000 4.507 4.333 23.667

2 18.933 7.525 2.793 35.074

3 22.267 7.538 6.100 38.433

Pairwise Comparisons

Measure: Plak

(I) T (J) T

Mean Difference

(I-J) Std. Error Sig.a

95% Confidence Interval for

Differencea

Lower Bound Upper Bound

1 2 -4.933 8.107 1.000 -26.965 17.099

3 -8.267 6.314 .635 -25.428 8.894

2 1 4.933 8.107 1.000 -17.099 26.965

3 -3.333 8.828 1.000 -27.325 20.658

3 1 8.267 6.314 .635 -8.894 25.428

2 3.333 8.828 1.000 -20.658 27.325

Based on estimated marginal means

a. Adjustment for multiple comparisons: Bonferroni.

Multivariate Tests

Value F Hypothesis df Error df Sig.

Pillai's trace .113 .828a 2.000 13.000 .459

Wilks' lambda .887 .828a 2.000 13.000 .459

Hotelling's trace .127 .828a 2.000 13.000 .459

Roy's largest root .127 .828a 2.000 13.000 .459

Each F tests the multivariate effect of T. These tests are based on the linearly independent pairwise

comparisons among the estimated marginal means.

a. Exact statistic

Repeated Anova Pada Kelompok DangkeUSE ALL.COMPUTE filter_$=(Kelompok = 2).VARIABLE LABELS filter_$ 'Kelompok = 2 (FILTER)'.VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.FORMATS filter_$ (f1.0).FILTER BY filter_$.EXECUTE.GLM T0 T1 T2 /WSFACTOR=T 3 Polynomial /MEASURE=Plak /METHOD=SSTYPE(3) /EMMEANS=TABLES(T) COMPARE ADJ(BONFERRONI) /CRITERIA=ALPHA(.05) /WSDESIGN=T.

General Linear Model

Notes

Output Created 22-OCT-2015 14:55:07

Comments

Input Active Dataset DataSet0

Filter Kelompok = 2 (FILTER)

Weight <none>

Split File <none>

N of Rows in Working Data File 15

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the model.

Syntax GLM T0 T1 T2

/WSFACTOR=T 3 Polynomial

/MEASURE=Plak

/METHOD=SSTYPE(3)

/EMMEANS=TABLES(T) COMPARE

ADJ(BONFERRONI)

/CRITERIA=ALPHA(.05)

/WSDESIGN=T.

Resources Processor Time 00:00:00.08

Elapsed Time 00:00:00.30

Within-Subjects Factors

Measure: Plak

T

Dependent

Variable

1 T0

2 T1

3 T2

Multivariate Testsa

Effect Value F Hypothesis df Error df Sig.

T Pillai's Trace .469 5.747b 2.000 13.000 .016

Wilks' Lambda .531 5.747b 2.000 13.000 .016

Hotelling's Trace .884 5.747b 2.000 13.000 .016

Roy's Largest Root .884 5.747b 2.000 13.000 .016

a. Design: Intercept

Within Subjects Design: T

b. Exact statistic

Mauchly's Test of Sphericitya

Measure: Plak

Within Subjects Effect Mauchly's W

Approx. Chi-

Square df Sig.

Epsilonb

Greenhouse-

Geisser Huynh-Feldt Lower-bound

T .659 5.426 2 .066 .746 .814 .500

Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.

a. Design: Intercept

Within Subjects Design: T

b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects

Effects table.

Tests of Within-Subjects Effects

Measure: Plak

Source

Type III Sum of

Squares df Mean Square F Sig.

T Sphericity Assumed 1185.733 2 592.867 2.664 .087

Greenhouse-Geisser 1185.733 1.491 795.186 2.664 .105

Huynh-Feldt 1185.733 1.628 728.242 2.664 .100

Lower-bound 1185.733 1.000 1185.733 2.664 .125

Error(T) Sphericity Assumed 6230.267 28 222.510

Greenhouse-Geisser 6230.267 20.876 298.442

Huynh-Feldt 6230.267 22.795 273.318

Lower-bound 6230.267 14.000 445.019

Tests of Within-Subjects Contrasts

Measure: Plak

Source T

Type III Sum of

Squares df Mean Square F Sig.

T Linear 1056.133 1 1056.133 6.426 .024

Quadratic 129.600 1 129.600 .462 .508

Error(T) Linear 2300.867 14 164.348

Quadratic 3929.400 14 280.671

Tests of Between-Subjects Effects

Measure: Plak

Transformed Variable: Average

Source

Type III Sum of

Squares df Mean Square F Sig.

Intercept 3864.200 1 3864.200 19.030 .001

Error 2842.800 14 203.057

Estimated Marginal Means

T

Estimates

Measure: Plak

T Mean Std. Error

95% Confidence Interval

Lower Bound Upper Bound

1 14.000 4.507 4.333 23.667

2 11.667 4.709 1.566 21.767

3 2.133 .844 .322 3.944

Pairwise Comparisons

Measure: Plak

(I) T (J) T

Mean Difference

(I-J) Std. Error Sig.a

95% Confidence Interval for

Differencea

Lower Bound Upper Bound

1 2 2.333 6.853 1.000 -16.292 20.959

3 11.867 4.681 .071 -.856 24.589

2 1 -2.333 6.853 1.000 -20.959 16.292

3 9.533 4.486 .156 -2.658 21.725

3 1 -11.867 4.681 .071 -24.589 .856

2 -9.533 4.486 .156 -21.725 2.658

Based on estimated marginal means

a. Adjustment for multiple comparisons: Bonferroni.

Multivariate Tests

Value F Hypothesis df Error df Sig.

Pillai's trace .469 5.747a 2.000 13.000 .016

Wilks' lambda .531 5.747a 2.000 13.000 .016

Hotelling's trace .884 5.747a 2.000 13.000 .016

Roy's largest root .884 5.747a 2.000 13.000 .016

Each F tests the multivariate effect of T. These tests are based on the linearly independent pairwise

comparisons among the estimated marginal means.

a. Exact statistic

Repeated Anova Pada Kelompok KontrolUSE ALL.COMPUTE filter_$=(Kelompok = 3).VARIABLE LABELS filter_$ 'Kelompok = 3 (FILTER)'.VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.FORMATS filter_$ (f1.0).FILTER BY filter_$.EXECUTE.GLM T0 T1 T2 /WSFACTOR=T 3 Polynomial /MEASURE=Plak /METHOD=SSTYPE(3) /EMMEANS=TABLES(T) COMPARE ADJ(BONFERRONI) /CRITERIA=ALPHA(.05) /WSDESIGN=T.

General Linear Model

Notes

Output Created 22-OCT-2015 14:55:21

Comments

Input Active Dataset DataSet0

Filter Kelompok = 3 (FILTER)

Weight <none>

Split File <none>

N of Rows in Working Data File 15

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the model.

Syntax GLM T0 T1 T2

/WSFACTOR=T 3 Polynomial

/MEASURE=Plak

/METHOD=SSTYPE(3)

/EMMEANS=TABLES(T) COMPARE

ADJ(BONFERRONI)

/CRITERIA=ALPHA(.05)

/WSDESIGN=T.

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.25

Within-Subjects Factors

Measure: Plak

T

Dependent

Variable

1 T0

2 T1

3 T2

Multivariate Testsa

Effect Value F Hypothesis df Error df Sig.

T Pillai's Trace .275 5.312b 1.000 14.000 .037

Wilks' Lambda .725 5.312b 1.000 14.000 .037

Hotelling's Trace .379 5.312b 1.000 14.000 .037

Roy's Largest Root .379 5.312b 1.000 14.000 .037

a. Design: Intercept

Within Subjects Design: T

b. Exact statistic

Mauchly's Test of Sphericitya

Measure: Plak

Within Subjects Effect Mauchly's W

Approx. Chi-

Square df Sig.

Epsilonb

Greenhouse-

Geisser Huynh-Feldt Lower-bound

T .000 . 2 . .500 .500 .500

Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.

a. Design: Intercept

Within Subjects Design: T

b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects

Effects table.

Tests of Within-Subjects Effects

Measure: Plak

Source

Type III Sum of

Squares df Mean Square F Sig.

T Sphericity Assumed 256.711 2 128.356 5.312 .011

Greenhouse-Geisser 256.711 1.000 256.711 5.312 .037

Huynh-Feldt 256.711 1.000 256.711 5.312 .037

Lower-bound 256.711 1.000 256.711 5.312 .037

Error(T) Sphericity Assumed 676.622 28 24.165

Greenhouse-Geisser 676.622 14.000 48.330

Huynh-Feldt 676.622 14.000 48.330

Lower-bound 676.622 14.000 48.330

Tests of Within-Subjects Contrasts

Measure: Plak

Source T

Type III Sum of

Squares df Mean Square F Sig.

T Linear 192.533 1 192.533 5.312 .037

Quadratic 64.178 1 64.178 5.312 .037

Error(T) Linear 507.467 14 36.248

Quadratic 169.156 14 12.083

Tests of Between-Subjects Effects

Measure: Plak

Transformed Variable: Average

Source

Type III Sum of

Squares df Mean Square F Sig.

Intercept 11076.356 1 11076.356 11.861 .004

Error 13074.311 14 933.879

Estimated Marginal Means

T

Estimates

Measure: Plak

T Mean Std. Error

95% Confidence Interval

Lower Bound Upper Bound

1 14.000 4.507 4.333 23.667

2 14.000 4.507 4.333 23.667

3 19.067 4.985 8.375 29.759

Pairwise Comparisons

Measure: Plak

(I) T (J) T

Mean Difference

(I-J) Std. Error Sig.a

95% Confidence Interval for

Differencea

Lower Bound Upper Bound

1 2 .000 .000 . .000 .000

3 -5.067 2.198 .111 -11.041 .908

2 1 .000 .000 . .000 .000

3 -5.067 2.198 .111 -11.041 .908

3 1 5.067 2.198 .111 -.908 11.041

2 5.067 2.198 .111 -.908 11.041

Based on estimated marginal means

a. Adjustment for multiple comparisons: Bonferroni.

Multivariate Tests

Value F Hypothesis df Error df Sig.

Pillai's trace .275 5.312a 1.000 14.000 .037

Wilks' lambda .725 5.312a 1.000 14.000 .037

Hotelling's trace .379 5.312a 1.000 14.000 .037

Roy's largest root .379 5.312a 1.000 14.000 .037

Each F tests the multivariate effect of T. These tests are based on the linearly independent pairwise

comparisons among the estimated marginal means.

a. Exact statistic