Awarness of mutual funds- A choice of factors.doc

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    INTRODUCTION TO MUTUAL FUNDS

     A Mutual Fund is a trust that pools the savings of a number of investors

    who share a common financial goal. The money thus collected is invested by the

    fund manager in different types of securities depending upon the objective of the

    scheme. These could range from shares to debentures to money market

    instruments. The income earned through these investments and the capital

    appreciations realized by the scheme are shared by its unit holders in proportion

    to the number of units owned by them (pro rata. Thus a Mutual Fund is the most

    suitable investment for the common man as it offers an opportunity to invest in a

    diversified! professionally managed portfolio at a relatively low cost. Anybody

    with an investible surplus of as little as a few thousand rupees can invest in

    Mutual Funds. "ach Mutual Fund scheme has a defined investment objective

    and strategy.

     A mutual fund is the ideal investment #vehicle for today$s comple% and

    modern financial scenario. Markets for e&uity shares! bonds and other fi%ed

    income instruments! real estate! derivatives and other assets have become

    mature and information driven. 'rice changes in these assets are driven by

    global events occurring in faraway places. A typical individual is unlikely to have

    the knowledge! skills! inclination and time to keep track of events! understand

    their implications and act speedily. An individual also finds it difficult to keep track

    of ownership of his assets! investments brokerage dues and bank transactions

    etc.

     A mutual fund is the answer to all these situations. )t appoints

    professionally &ualified and e%perienced staff that manages each of these

    functions on a full time basis. The large pool of money collected in the fund

    allows it to hire such staff at a very low cost to each investor. )n effect! the mutual

    fund vehicle e%ploits economies of scale in all three areas * research!

    investments and transaction processing. +hile the concept of individuals coming

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    together to invest money collectively is not new! the mutual fund in its present

    form is a ,-th century phenomenon. )n fact! mutual funds gained popularity only

    after the econd +orld +ar. /lobally! there are thousands of firms offering tensof thousands of mutual funds with different investment objectives. Today! mutual

    funds collectively manage almost as much as or more money as compared to

    banks.

     A draft offer document is to be prepared at the time of launching the fund.

    Typically! it pre specifies the investment objectives$ of the fund! the risk $

    associated! the costs involved in the process and the broad rules for entry into

    and e%it from the fund and other areas of operation. )n )ndia! as in most

    countries! th0se sponsors need approval from a regulator! "1) (ecurities

    e%change 1oard of )ndia in our case. "1) looks at track records of the sponsor

    and its financial strength in granting approval to the fund for commencing

    operations.

     A sponsor then hires an asset management company to invest the funds

    according to the investment objective. )t also hires another entity to be the

    custodian of the assets of the fund and perhaps a third one to handle registry

    work for the unit holders (subscribers of the fund.

    )n the )ndian conte%t! the sponsors promote the Asset Management

    2ompany also! in which it holds a majority stake. )n many cases a sponsor can

    hold a 3--4 stake in the Asset Management 2ompany (AM2. ".g. 1irla /lobal

    Finance is the sponsor of the 1irla un 5ife Asset Management 2ompany 5td.!

    which has floated different mutual funds schemes and also acts as an asset

    manager for the funds collected under the schemes.

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    CONCEPT

    Mutual fund is a mechanism for pooling the resources by issuing units to

    the investors and investing funds in securities in accordance with objectives as

    disclosed in offer document.

    )nvestments in securities are spread across a wide cross*section of

    industries and sectors and thus the risk is reduced. 6iversification reduces the

    risk because all stocks may not move in the same direction in the same

    proportion at the same time. Mutual fund issues units to the investors in

    accordance with &uantum of money invested by them. )nvestors of mutual funds

    are known as unit holders

    The investors! in proportion to their investments! share the profits or

    losses. The mutual funds normally come out with a number of schemes with

    different investment objectives! which are launched from time to time. A mutual

    fund is re&uired to be registered with ecurities and "%change 1oard of )ndia

    ("1)! which regulates securities markets before it can collect funds from the

    public.

     MUTUAL FUND OPERATION CYCLE

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    ORGANISATION OF A MUTUAL FUND

    There are many entities involved and the diagram below illustrates the

    organizational set up of a mutual fund7

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    ORIGIN - U.S. EXPERIENCE

    The origin of mutual funds in the 8A dates back to the formation of the

    Massachusetts )nvestors Trust in 30,9. +ith seven decades of growth history!

    the mutual fund industry has become the second largest financial servicesindustry in the 8A. +hile closed*end funds form a major chunk of the mutual

    funds in )ndia! they represent only a small portion of investment business in the

    8. 1y the end of 300:! there were appro%imately ;-- closed*end funds with

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    subjected to stringent guidelines and strict enforcement of rules and regulations!

    investment company industry in the 8A is distinguishes to be largely self*

    regulated. Aiming to promote ethical and fair dealings in the industry! the

    )nvestment 2ompany )nstitute works in association with the "2.

    +hile the "2 ensures compliance with the federal regulations and

    imposes its own regulations! it is necessary for funds to comply withy the )

    code in order to be e%empt from corporate ta%. The )nvestment 2ompanies

    2ommittee is responsible for specific guidance relating to financial reporting!

    accounting! and financial statement disclosure issues. The FA1 is the general

    accounting standards board for all industries including the investment

    companies. )n addition to the regulatory control by these agencies! bank*

    sponsored mutual funds are subject to regulation by the =ffice of the 2ontroller

    of the 2urrency! the 1oard of 6irectors of the Federal eserve 1oard and the

    Federal 6eposit )nsurance 2ompany. 2urrently! there is s debate about the

    regulatory status of bank mutual funds! and one of these regulations may

    become the sole regulation.

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    STRUCTURE OF THE INDIAN MUTUAL FUND INDUSTRY

    The )ndian mutual fund industry is dominated by the 8nit Trust of )ndia!

    which has a total corpus of s;--bn collected from more than ,- million

    investors. The*8T) has many fundsBschemes in all categories ie e&uity!$balanced!income etc with some being open*ended and some being closed*ended. The 8nit

    cheme 30C9 commonly referred to as 8 C9! which is a balanced fund! is the

    biggest scheme with a corpus of about s,--bn. 8T) was floated by financial

    institutions and is governed by a special act of 'arliament. Most of its investors

    believe that the 8T) is government owned and controlled! which! while legally

    incorrect! is true for all practical purposes.

    The second largest categories of mutual funds are the ones floated by

    nationalized banks. 2an bank Asset Management floated by 2anara 1ank and

    1) Funds Management floated by the tate 1ank of )ndia are the largest of

    these. /)2 AM2 floated by /eneral )nsurance 2orporation and Deevan 1ima

    ahayog AM2 floated by the 5)2 are some of the other prominent ones. The

    aggregate corpus of funds managed by this category of AM2s is about s3E-bn.

    The third largest categories of mutual funds are the ones floated by the private

    sector and by foreign asset management companies. The largest of these are

    'rudential )2)2) AM2 and 1irla un 5ife AM2. The aggregate corpus of assets

    managed by this category of AM2s is in e%cess of s,E-bn

    F"8">T5G 8"6 T"M

    Net Asset Value (NAV)

    >et Asset ?alue is the market value of the assets of the scheme minus its liabilities. The

    per unit >A? is the net asset value of the scheme divided by the number of units

    outstanding on the ?aluation 6ate.

    ale 'rice

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    )s the price you pay when you invest in a scheme. Also called =ffer 'rice. )t may include

    a sales load.

     

    epurchase 'rice

    )s the price at which a close*ended scheme repurchases its units and it may include a

    back*end load. This is also called 1id 'rice.

     

    edemption 'rice

    )s the price at which open*ended schemes repurchase their units and close*ended

    schemes redeem their units on maturity. uch prices are >A? related.

     

    ales 5oad

    )s a charge collected by a scheme when it sells the units. Also called! HFront*endI load.

    chemes that do not charge a load are called H>o 5oadI schemes.

     

    epurchase or H1ack*endI 5oad

    )s a charge collected by a scheme when it buys back the units from the unit holdersJ

    The mutual fund industry in )ndia started in 30C: with the formation of 8nit Trust of )ndia!

    at the initiative of the /overnment of )ndia and eserve 1ank the. The history of mutual

    funds in )ndia can be broadly divided into four distinct phases First 'hase K 30C9*L;

    8nit Trust of )ndia (8T) was established on 30C: by an Act of 'arliament. )t was set up

    by the eserve 1ank of )ndia and functioned under the egulatory and administrative

    control of the eserve 1ank of )ndia. )n 30;L 8T) was de*linked from the 1) and the

    )ndustrial 6evelopment 1ank of )ndia ()61) took over the regulatory and administrative

    control in place of 1). The first scheme launched by 8T) was 8nit cheme 30C9. At the

    end of 30LL 8T) had s.C!;-- crores of assets under management. econd 'hase K

    30L;*300: ("ntry of 'ublic ector Funds 30L; marked the entry of non* 8T)! public

    sector mutual funds set up by public sector banks and 5ife )nsurance 2orporation of

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    )ndia (5)2 and /eneral )nsurance 2orporation of )ndia (/)2. 1) Mutual Fund was the

    first non* 8T) Mutual Fund established in Dune 30L; followed by 2an bank Mutual Fund

    (6ec L;! 'unjab >ational 1ank Mutual Fund (Aug L0! )ndian 1ank Mutual Fund (>ov

    L0! 1ank of )ndia (Dun 0-! 1ank of 1aroda Mutual Fund (=ct 0,. 5)2 established itsmutual fund in Dune 30L0 while /)2 had set up its mutual fund in 6ecember 300-. At the

    end of 300:! the mutual fund industry had assets under management of s.9;!--9

    crores. Third 'hase K 300:*,--: ("ntry of 'rivate ector Funds +ith the entry of

    private sector funds in 300:! a new era started in the )ndian mutual fund industry! giving

    the )ndian investors a wider choice of fund families. Also! 300: was the year in which the

    first Mutual Fund egulations came into being! under which all mutual funds! e%cept 8T)

    were to be registered and governed. The erstwhile othari 'ioneer (now merged with

    Franklin Templeton was the first private sector mutual fund registered in Duly 300:.The 300: "1) (Mutual Fund egulations were substituted by a more comprehensive

    and revised Mutual Fund egulations in 300C. The industry now functions under the

    "1) (Mutual Fund egulations 300C. The number of mutual fund houses went on

    increasing! with many foreign mutual funds setting up funds in )ndia and also the industry

    has witnessed several mergers and ac&uisitions. As at the end of Danuary ,--:! there

    were :: mutual funds with total assets of s. 3!,3!L-E crores. The 8nit Trust of )ndia

    with s.99! E93 crores of assets under management was way ahead of other mutual

    funds. Fourth 'hase K since February ,--: )n February ,--:! following the repeal of

    the 8nit Trust of )ndia Act 30C: 8T) was bifurcated into two separate entities. =ne is the

    pecified 8ndertaking of the 8nit Trust of )ndia with assets under management of s.,0!

    L:E crores as at the end of Danuary ,--:! representing broadly! the assets of 8 C9

    scheme! assured return and certain other schemes. The pecified 8ndertaking of 8nit

    Trust of )ndia! functioning under an administrator and under the rules framed by

    /overnment of )ndia and does not come under the purview of the Mutual Fund

    egulations. The second is the 8T) Mutual Fund 5td! sponsored by 1)! '>1! 1=1 and

    5)2. )t is registered with "1) and functions under the Mutual Fund egulations. +ith the

    bifurcation of the erstwhile 8T) which had in March ,--- more than s.;C!--- crores of

    assets under management and with the setting up of a 8T) Mutual Fund! conforming to

    the "1) Mutual Fund egulations! and with recent mergers taking place among

    different private sector funds! the mutual fund industry has entered its current phase of

    consolidation and growth. As at the end of eptember! ,--9! there were ,0 funds! which

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    manage assets of s.3E:3-L crores under 9,3 schemes. The graph indicates the

    growth of assets over the years. /=+T@ )> A"T 8>6" MA>A/"M">T

    >ote7

    "rstwhile 8T) was bifurcated into 8T) Mutual Fund and the pecified 8ndertaking of the

    8nit Trust of )ndia effective from February ,--:. The Assets under management of the

    pecified 8ndertaking of the 8nit Trust of )ndia has therefore been e%cluded from the

    total assets of the industry as a whole from February ,--: onwards.

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     AM2 "T8'

     A mutual fund is setup in the form of a trust! which has sponsor! trustees!

     Asset Management 2ompany (AM2 and custodian. The trust is established by a

    sponsor or more than one sponsor who is like promoter of a company. The

    trustees$ of the mutual fund hold its property for the benefit of the unit holders.

     Asset Management 2ompany (AM2 approved by "1) manages the funds by

    making investments in various types of securities. 2ustodian! who is registered

    with "1)! holds the securities of various schemes of the fund in its custody. The

    trustees are direction over AM2. They monitor the performance and compliance

    of "1) egulations by the mutual fund.

    "1f egulations re&uire that at feast two thirds of the directors of trustee

    company or board of trustees must be independent i.e. they should not be

    associated with the sponsors. Also! E- 4 of the directors of AM2 must be

    independent. All mutual funds are re&uired to be registered with "1) b$efore the

    launch any scheme. @owever! 8nit Trust of )ndia (8T) is not registered with

    "1) (as on Danuary 3E! ,--,.

    The objectives to be achieved by mutual funds are as follows7

     'rovide an opportunity for lower income groups to ac&uire property.

    To cater mainly to the need of individual investors who means are small.

    To manage investorIs portfolios in a manner that provides regular income!

    growth! afety! li&uidity and diversification.

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    MUTUAL FUNDS IN INDIA (!"#-$%%%)

    The end of millennium marks :C years of e%istence of mutual funds in this

    country. The ride through these :C years is not been smooth. )nvestor opinion is

    still divided. +hile some are for mutual funds others are against it.

    8T) commenced its operations from Duly 30C9. The impetus for

    establishing a formal institution came from the desire to increase the propensity

    of the middle and lower groups to save and to invest. 8T) came into e%istence

    during a period marked by great political and economic uncertainty in )ndia. +ith

    war on the borders and economic turmoil that depressed the financial market!

    entrepreneurs were hesitant to enter capital market.

    The already e%isting companies found it difficult to raise fresh capital! as

    investors did not respond ade&uately to new issues. "arnest efforts were

    re&uired to canalize savings of the community into productive uses in order to

    speed up the process of industrial growth. Then the Finance Minister! T.T.

    rishnamachari set up the idea of a unit trust that would be #open to any person

    or institution to purchase the units offered by the trust. @owever! this institution

    as we see it! is intended to cater to the needs of individual investors! and evenamong them as far as possible! to those whose means are small.#

    @is ideas took the form of the 8nit Trust of )ndia! an intermediary that

    would help fulfill the twin objectives of mobilizing retail savings and investing

    those savings in the capital market and passing on the benefits so accrued to the

    small investors.

    8T) commenced its operations from Duly 30C9 "with a view to encouragingsavings and investment and participation in the income, profits and gains

    accruing to the Corporation from the acquisition, holding, management and

    disposal of securities." 6ifferent provisions of the 8T) Act laid down the structure

    of management! scope of business! powers and functions of the Trust as well as

    accounting! disclosures and regulatory re&uirements for the Trust.14

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    =ne thing is certain * the fund industry is here to stay. The industry was

    one*entity show till 30LC when the 6T) monopoly was broken when 1) and 2an

    bank mutual fund entered the arena. This was followed by the entry of others like

    1=)! 5)2! /)/! etc. sponsored by public sector banks. tarting with an asset

    base of s-.,Ebn in 30C9 the industry has grown at a compounded average

    growth rate of ,C.:94 to its current size of s33:-bn.

    The period 30LC*300: can be termed as the period of public sector mutual

    funds ('MFIs. From one player in 30LE the number increased to L in 300:. The

    party did not last long. +hen the private sector made its debut in 300:*09! the

    stock market was booming.

    The opening up of the asset management business to private sector in

    300: saw international players like Morgan tanley! Dar dine Fleming!

    D'.Morgan! /eorge oros and 2apital )nternational along with the host of

    domestic players join the party. 1ut for the e&uity funds! the period of 3009*0C

    was one of the worst in the history of )ndian Mutual Funds.

    3000*,--- Gear of the funds

    Mutual funds have been around for a long period of time to be precise for

    :C yrs but the year 3000 saw immense future potential and developments in this

    sector. This year signaled the year of resurgence of mutual funds and the

    regaining of investor confidence in these MF$s. This time around all the

    participants are involved in the revival of the funds ***** the AM2$s! the unit

    holders! the other related parties. @owever the sole factor that gave life to the

    revival of the funds was the 8nion 1udget. The budget brought about a large

    number of changes in one stroke. An insight of the 8nion 1udget on mutual

    funds ta%ation benefits is provided later.

    )t provided centre stage to the mutual funds! made them more attractive

    and provides acceptability among the investors. The 8nion 1udget e%empted

    mutual fund dividend given out by e&uity*oriented schemes from ta%! both at the

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    hands of the investor as well as the mutual fund. >o longer were the mutual

    funds interested in selling the concept of mutual funds they wanted to talk

    business! which would mean to increase asset base! and to get asset base! and

    investor base they had to be fully armed with a whole lot of schemes for every

    investor .o new schemes for new )'=$s were inevitable. The &uest to attract

    investors e%tended beyond just new schemes. The funds started to regulate

    themselves and were all out on winning the trust and confidence of the investors

    under the aegis of the Association of Mutual Funds of )ndia (AMF)

    =ne can say that the industry is moving from infancy to adolescence! the

    industry is maturing and the investors and funds are frankly and openly

    discussing difficulties opportunities and compulsions.

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    AMFI MEM&ERS

    A) &a' s*'s*+e,

    a. 1=1 Asset Management 2o. 5td.

    b. 2anbank )nvestment Management ervices 5td.

    c. 1) Funds Management 5td.

    d. 8T) Asset Management 2ompany (' 5td.

    &) I'sttut*'s

    a. /)/ Asset Management 2o. 5td.

    b. Deevan 1ima ahayog Asset Management 2o. 5td.

    C) P+ate Se/t*+ 

    3. )ndian

    a. 1enchMark Asset Management 2o. 'vt. 5td.

    b. 2holamandalam Asset Management 2o. 5td.

    c. "scorts Asset Management 5td.

    d. D.M. 2apital Management 'vt. 5td.

    e. otak Mahindra Asset Management 2o. 5td.

    f. undaram Asset Management 2ompany 5td.

    g. eliance 2apital Asset Management 5td.

    h. Tata Asset Management 'rivate 5td.

    ,. Doint ?entures * 'redominantly )ndian

    a. 1iria un 5ife Asset Management 2o. 5td.

    b. 2redit 2apital Asset Management 2o. 5td.

    c. 6' Merrill 5ynch Fund Managers 5imited

    d. ahara Asset Management 2o. 'vt. 5td.

    e. @6F2 Asset Management 2ompany 5td.

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    :. Doint ?entures * 'redominantly Foreign

    a. A1> AM= Asset Management () 5td.

    b. Alliance 2apital Asset Management ()ndia 'vt. 5td.

    c. 6eutsche Asset Management ()ndia 'vt. 5td.

    d. @12 Asset Management ()ndia 'rivate 5td.

    e. )>/.)nvestment Management ()ndia 'vt. 5td.

    f. Morgan tanley )nvestment Management 'vt. 5td.

    g. 'rincipal Asset Management 2o. 'vt. 5td.

    h. 'rudential )2)2) Asset Management 2o. 5td.

    i. tandard 2hartered Asset Mgmt 2o. 'vt. 5td.

     j. Franklin Templeton Asset Mgmt. ()ndia 'vt. 5td.

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    TYPES OF MUTUAL FUNDS

    Mutual fund schemes may be classified on the basis of its structure and its

    investment objective.

    1y tructure7

    Oe'-e',e, Fu',s

     An open*end fund is one that is available for subscription all through the

    year. These do not have a fi%ed maturity. )nvestors can conveniently buy and sell

    units at >et Asset ?alue (#>A?# related prices. The key feature of open*end

    schemes is li&uidity.

    Cl*se,-e',e, Fu',s

     A closed*end fund has a stipulated maturity period which generally

    ranging from : to 3E years. The fund is open for subscription only $during a

    specified period. )nvestors can invest in the scheme at the time of the initial

    public issue and thereafter they can buy or sell the units of the scheme on the

    stock e%changes where they are listed. )n order to provide an e%it route to the

    investors! some close*ended funds give an option of selling back the units to the

    Mutual Fund through periodic repurchase at >A? related prices. "1)

    egulations stipulate that at least one of the two e%it routes is provided to the

    investor.

    I'te+al Fu',s

    )nterval funds combine the features of open*ended and close*ended

    schemes. They are open for sale or redemption during pre*determined intervals

    at >A? related prices.

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    1y )nvestment =bjective7

    G+*0t1 Fu',s

    The aim of growth funds is to provide capital appreciation over the

    medium to long* term. uch schemes normally invest a majority of their corpus in

    e&uities. )t has been proven that returns from stocks! have outperformed most

    other kind of investments held over the long term. /rowth schemes are ideal for

    investors having a long*term outlook seeking growth over a period of time.

    I'/*2e Fu',s

    The aim of income funds is to provide regular and steady income to

    investors. uch schemes generally invest in fi%ed income securities such asbonds! corporate debentures and /overnment securities. )ncome Funds are

    ideal for capital stability and regular income.

    &ala'/e, Fu',s

    The aim of balanced funds is to provide both growth and regular income.

    uch schemes periodically distribute a part of their earning and invest both in

    e&uities and fi%ed income securities in the proportion indicated in their offer

    documents. )n a rising stock market! the >A? of these schemes may not

    normally keep pace! or fall e&ually when the market falls. These are ideal for

    investors looking for a combination of income and moderate growth.

    M*'e3 Ma+et Fu',s

    The aim of money market funds is to provide easy li&uidity! preservation of

    capital and moderate income. These schemes generally invest in safer short*

    term instruments such as treasury bills! certificates of deposit! commercial paperand inter*bank call money. eturns on these schemes may fluctuate depending

    upon the interest rates prevailing in the market. These are ideal for 2orporate

    and individual investors as a means to park their surplus funds for short periods.

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    L*a, Fu',s

     A 5oad Fund is one that charges a commission for entry or e%it. That is!

    each time you buy or sell units in the fund! a commission will be*payable.

    Typically entry and e%it loads range from 3 4 to ,4. )t could be worth payingthe load! if the fund has a good performance history.

    N*-L*a, Fu',s

     A >o*5oad Fund is one that does not charge a commission for entry or

    e%it. That is! no commission is payable on purchase or sale of units in the

    fund. The advantage of a no load fund is that the entire corpus is put to work.

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    &ENEFITS OF MUTUAL FUND INVESTMENT

    'rofessional Management

    Mutual Funds provide the services of e%perienced and skilled

    professionals! backed by a dedicated investment research team that analyses

    the performance and prospects of companies and selects suitable investments to

    achieve the objectives of the scheme.

    De+s4/at*'

    Mutual Funds invest in a number of companies across a broad cross*

    section of industries and sectors. This diversification reduces the risk because

    seldom do all stocks decline at the same time and in the same proportion. Gou

    achieve this diversification through a Mutual Fund with far less money than you

    can do on your own.

    C*'e'e't A,2'st+at*'

    )nvesting in a Mutual Fund reduces paperwork and helps you avoid many

    problems such as bad deliveries! delayed payments and follow up with brokers

    and companies. Mutual Funds save your time and make investing easy and

    convenient.

    Retu+' P*te'tal

    =ver a medium to long*term! Mutual Funds have the potential to provide a

    higher return as they invest in a diversified basket of selected securities.

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    L*0 C*sts

    Mutual Funds are a relatively less e%pensive way to invest compared to

    directly investing in the capital markets because the benefits of scale in

    brokerage! custodial and other fees translate into lower costs for investors.

    L5u,t3

    )n open*end schemes! the investor gets the money back promptly at net

    asset value related prices from the Mutual Fund. )n. closed*end schemes! the

    units can be sold on a stock e%change at the prevailing market price or the

    investor can avail of the facility of direct repurchase at >A? related prices by the

    Mutual Fund.

    T+a'sa+e'/3

    Gou get regular information on the value of your investment in addition to

    disclosure on the specific investments made by your scheme! the proportion

    invested in each class of assets and the fund manager$s investment strategy and

    outlook.

    Fle67lt3

    Through features such as regular investment plans! regular withdrawal

    plans and dividend reinvestment plans! you can systematically invest or withdraw

    funds according to your needs and convenience.

    A44*+,a7lt3

    )nvestors individually may lack sufficient funds to invest in high*grade

    stocks. A mutual fund because of its large corpus allows even a small investor to

    take the benefit of its investment strategy.

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    C1*/e *4 S/1e2es

    Mutual Funds offer a family of schemes to suit your varying needs over a

    lifetime.

    8ell Re9ulate,

     All Mutual Funds are registered with "1) and they function within the

    provisions of strict regulations designed to protect the interests of investors. The

    operations of Mutual Funds are regularly monitored by "1).

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    NET ASSET VALUE (NAV)

    The net asset value of the fund is the cumulative market value of the

    assets fund net of its liabilities. )n other words! if the fund is dissolved or

    li&uidated! by selling off all the assets in the fund! this is the amount that theshareholders would collectively own. This gives rise to thN concept of net asset

    value per unit! which is the value! represented by the ownership of one unit in the

    fund. )t is calculated simply by dividing the net asset value of the fund by the

    $number of units. @owever! most people refer loosely to the >A? per unit as >A?!

    ignoring the #per unit#. +e also abide by the same convention.

    Cal/ulat*' *4 NAV

    The most important part of the calculation is the valuation of the assets owned by

    the fund. =nce it is calculated! the >A? is simply the net value of assets divided

    by the number of units outstanding. The detailed methodology for the calculation

    of the asset value is given below.

    Asset alue s e5ual t*

    um of market value of sharesBdebentures

    O 5i&uid assetsBcash held! if any

    O 6ividendsBinterest accrued

    OAmount due on unpaid assets

    *"%penses accrued but not paid

    25

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    6etails on the above items

    For li&uid sharesBdebentures! valuation is done on the basis of the last or

    closing market price on the principal e%change where the security is traded

    For illi&uid and unlisted andBor thinly traded sharesBdebentures! the value

    has to be estimated. For shares! this could be the book value per share or an

    estimated market price if suitable benchmarks are available. For debentures and

    bonds! value is estimated on the basis of yields of comparable li&uid securities

    after adjusting for li&uidity. The value of fi%ed interest bearing securities moves in

    a direction opposite to interest rate changes ?aluation of debentures and bonds

    is a big problem since most of them are unlisted and thinly traded. This gives

    considerable leeway to the AM2s on valuation and some of the AM2s are

    believed to take advantage of this and adopt fle%ible valuation policies depending

    on the situation.

    )nterest is payable on debenturesBbonds on a periodic basis say every C

    months. 1ut! with every passing day! interest is said to be accrued! at the daily

    interest rate! which is calculated by dividing the periodic interest payment with

    the number of days in each period! Thus! accrued interest on a particular day is

    e&ual to the daily interest rate multiplied by the number of days since the last

    interest payment date.

    8sually! dividends are proposed at the time of the Annual /eneral

    meeting and become due on the record date. There is a gap between the dates

    on which it becomes due and the actual payment date. )n the intermediate

    period! it is deemed to be #accrued#.

    "%penses including management fees! custody charges etc. are

    calculated on a daily basis.

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    RECENT TRENDS IN MUTUAL FUND INDUSTRY

    The most important trend in the mutual fund industry is the aggressive

    e%pansion of the foreign owned mutual fund companies and the decline of the

    companies floated by nationalized banks and smaller private sector players.

    Many nationalized banks got into the mutual fund business in the early

    nineties and got off to a good start due to the stock market boom prevailing then.

    These banks did not really understand the mutual fund business and they just

    viewed it as another kind of banking activity. Few hired specialized staff and

    generally chose to transfer staff from the parent organizations. The performance

    of most of the schemes floated by these funds was not good. ome schemes

    had offered guaranteed returns and their parent organizations had to bail out

    these AM2s by paying large amounts of money as the difference between the

    guaranteed and actual returns. The service levels were also very bad. Most of

    these AM2s have not been able to retain staff! float new schemes etc. and it is

    doubtful whether! barring a few e%ceptions! they have serious plans of continuing

    the activity in a major way.

    The e%perience of some of the AM2s floated by private sector )ndian

    companies was also very similar. They &uickly realized that the AM2 business is

    a business! which makes money in the long term and re&uires deep*pocketed

    support in the intermediate years. ome have sold out to foreign owned

    companies! some have merged with others and there is general restructuring

    going on.

    The foreign owned companies have deep pockets and have come in here

    with the e%pectation of a long haul. They can be credited with introducing many

    new practices such as new product innovation! sharp improvement in service

    standards and disclosure! usage of technology! broker education and support

    etc. )n fact! they have forced the industry to upgrade itself.

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    MAR:ET TRENDS

     A lone 8T) with just one scheme in 30C9 now competes with as many as

    9-- odd products and :9 players in the market. )n spite of the stiff competition

    and losing market share! 8T) still remains a formidable force to reckon with. 5astsi% years have been the most turbulent as well as e%iting ones for the industry.

    >ew players have come in! while others have decided to close shop by either

    selling off or merging with others. 'roduct innovation is now passP with the game

    shifting to performance delivery in fund management as well as service. Those Q

    directly associated with the fund management industry like distributors! registrars

    and transfer agents! and even the regulators have become more mature and

    responsible.

    The industry is also having a profound impact on financial markets. +hile

    8T) has always been a dominant player on the bourses as well as the debt

    markets! the new generations of private funds! which have gained substantial

    mass! are now seen fle%ing their muscles. Fund managers by their selection

    criteria for stocks have forced corporate governance on the industry. 1y

    rewarding honest and transparent management with higher valuations! a system

    of risk*reward has been created where the corporate sector is more transparent

    then before.

    Funds have shifted their focus to the recession free sectors like

    'harmaceuticals! FM2/ and technology sector. Funds performances are

    improving. Funds collection! which averaged at less than sl--bn per annum

    over five*year period spanning 300:*0L doubled to s,3-bn in 300L*00. )n the

    current year mobilization till now have e%ceeded sE--bn. Total collection for the

    current financial year ending March ,--- is e%pected to reach s9E-bn.

      +hat is particularly noteworthy is that bulk of the mobilization has been

    by the private sector mutual funds rather than public sector mutual funds.

    )ndeed private MFs saw a net inflow of s. ;L30.:9 crore during the first nine

    months of the year.

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    Mutual funds are now also competing with commercial banks in*the race

    for retail investor$s savings and corporate float money. The power shift towards

    mutual funds has become obvious. The coming few years will show .that the

    traditional saving avenues are losing out in the current scenario. Many investors

    are realizing that investments in savings accounts are as good as locking up their

    deposits in a closet. The fund mobilization trend by mutual funds in the current .

    year indicates that money is going to mutual funds in a big way. The collection in

    the first half of the financial year 3000*,--- matches the whole of 300L*00.

    )ndia is at the first stage of a revolution that has already peaked in the

    8.. The 8.. boasts of an Asset base that is much higher than its bank

    deposits. )n )ndia! mutual fund assets are not even 3-4 of the bank deposits! but

    this trend is beginning to change. ecent figures indicate that in the first &uarter

    of the current fiscal year mutual fund assets went up by 33E4 whereas bank

    deposits rose by only 3;4. #(ource7 Think tank! The Financial "%press eptember!

    00 This is forcing a large number of banks to adopt the concept of narrow

    banking wherein the deposits are kept in /ilts and some other assets which

    improves li&uidity and reduces risk. The basic fact lies that banks cannot beignored and they will not close down completely. Their role as intermediaries

    cannot be ignored. )t is just that Mutual Funds are going to change the way

    banks do business in the future.

    29

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    30

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    GLO&AL SCENARIO

    S*2e 7as/ 4a/ts;

    The money market mutual fund segment has a total corpus of < 3.9L

    trillion in the 8.. against a corpus of < 3-- million in )ndia.

    Q =ut of the top 3- mutual funds worldwide! eight are bank* sponsored. =nly

    Fidelity and 2apital are non*bank mutual fundsI in this group.

    )n the 8.. the total number of schemes is higher than that of the listed

    companies while in )ndia we have just ,;; schemes

    )nternationally! mutual funds are allowed to go short. )n )ndia fund managers do

    not have such leeway.

    Q )n the 8.. about 0.; million households will manage their assets on*line

    by the year ,--:! such a facility is not yet of avail in )ndia.

    =n* line trading is a great idea to reduce management e%penses from the

    current , 4 of total assets to about -.;E 4 of the total assets.

    ;,4 of the core customer base of mutual funds in the top E-*broking firms

    in the 8.. is e%pected to trade on*line by ,--:.

    )nternationally! on* line investing continues its meteoric rise. Many have

    debated about the success of e* commerce and its breakthroughs! but it is true

    that this aspect of technology could and will change the way financial sectors

    function. @owever! mutual funds cannot be left far behind. They have realized the

    potential of the )nternet and are e&uipping themselves to perform better.

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    )n fact in advanced countries like the 8..A! mutual funds buy* sell

    transactions have already begun on the >et! while in )ndia the >et is used as a

    source of )nformation.

    uch changes could facilitate easy access! lower intermediation costs and

    better services for all. A research agency that specializes in )nternet technology

    estimates that over the ne%t four years Mutual Fund Assets traded on* line will

    grow ten folds from < 3,L billion to < 3!,,; billion whereas e&uity assets traded

    on*line will increase during the period from < ,9C billion to < 3!EC3 billion. This

    will increase the share of mutual funds from :94 to 9-4 during the period.

    uch increases in volumes are e%pected to bring about large changes in

    the way Mutual Funds conduct their business.

    @ere are some of the basic changes that have taken place since the

    advent of the >et.

    5ower 2osts7 6istribution of funds will fall in the online trading regime by

    ,--:. Mutual funds could bring down their administrative

    costs to -.;E4 if trading is done on* line. As per "1)

    regulations! bond funds can charge a ma%imum of ,.,E4

    and e&uity funds can charge ,.E4 as administrative fees.

    Therefore if the administrative costs are low! the benefits are

    passed down and hence Mutual Funds are able to attract

    mire investors and increase their asset base.

    1etter advice7 Mutual funds could provide better advice to their investorsthrough the >et rather than through the traditional

    investment routes where there is an additional channel to

    deal with the 1rokers. 6irect dealing with the fund could help

    the investor with their financial planning.

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    )n )ndia! brokers could get more >et savvy than investors and could help

    the investors with the knowledge through get from the >et.

    Q >ew investors would prefer online7 Mutual funds can target investors who

    are young individuals and who are >et savvy! since servicing them wouldbe easier to the >et.

    Q )ndia has around 3.C million net users who are prime target for these funds

    and this could just be the beginning. The )nternet users are! going to

    increase dramatically and mutual funds are going to be the

    best beneficiary. +ith smaller administrative costs more funds would

    be mobilized .A fund manager must be ready to tackle the volatility and

    will have to maintain sufficient amount of investments which are high

    li&uidity and low yielding investments to honor redemption.

    >et based advertisements7 There will be more sites involved in ads and

    promotion of mutual funds. )n the 8.. sites like A=5 offer detailed research and

    financial details about the functioning of different funds and their performance

    statistics! a is witnessing a genesis in this area . There are many sites such as

    indiainfoline.com and indiafn.com that are doing something similar and providing

    advice to investors regarding their investments.

    )n the 8.. most mutual funds concentrate only on financial funds like

    e&uity and debt. ome like real estate funds and commodity funds also take an

    e%posure to physical assets. The latter type of funds are preferred by corporate$s

    who want to hedge their e%posure to the commodities they deal with.

    For instance! a cable manufacturer who needs 3-- tons of 2opper in the

    month of Danuary could buy an e&uivalent amount of copper by investing in a

    copper fund. For "%ample! 'ermanent 'ortfolio Fund! a conservative 8.. based

    fund invests a fi%ed percentage of it$s corpus in /old! ilver! wiss francs!

    33

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    )n 8..A. apart from bullion funds there are copper funds! precious metal

    funds and real estate funds (investing in real estate and other related assets as

    well..)n )ndia! the 2anada based 6undee mutual fund is planning to launch a

    gold and a real estate fund before the year*end.

    )n developed countries like the 8..A there are funds to $atisfy

    everybody$s re&uirement! but in )ndia only the tip of the iceberg has been

    e%plored. )n the near future )ndia too will concentrate on financial as well as

    physical funds.

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    FUTURE SCENARIO

    The asset base will continue to grow at an annual rate of about :- to :E 4

    over the ne%t few years as investor$s shift their assets from banks and other

    traditional avenues. ome of the older public and private sector players will either

    close shop or be taken over.

    =ut of ten public sector players five will sell out! close down or merge with

    stronger players in three to four years. )n the private sector this trend has already

    started with two mergers and one takeover. @ere too some of them will down

    their shutters in the near future to come.

    1ut this does not mean there is no room for other players. The market will

    witness a flurry of new players entering the arena. There will be a large number

    of offers from various asset management companies in the time to come. ome

    big names like Fidelity! 'rincipal! =ld Mutual etc. are looking at )ndian market

    seriously. =ne important reason for it is that most major players already have

    presence here and hence these big names would hardly like to get left behind.

    The mutual fund industry is awaiting the introduction of derivatives in )ndia

    as this would enable it to hedge its risk and this in turn would be reflected in it$s

    >et Asset ?alue (>A?.

    "1) is working out the norms for enabling the e%isting mutual fund

    schemes to trade in derivatives. )mportantly! many market players have called on

    the egulator to initiate the process immediately! so that the mutual funds can

    implement the changes that are re&uired to trade in 6erivatives.

    May the >et Asset ?alues growRR

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    SPSS PAC:AGE DETAILS

    SPSS is a computer program used for statistical analysis and is also the name

    of the company (' )nc. that sells it.

    SPSS

    Deel*e,

    73' )nc.

    Latest

    +elease

    3C.- (+in! 3C.- (Mac! 3C.-

    (5inu% B ,--;

    OS +indows! 5inu% B 8>)S  Mac

    Ge'+e tatistical analysis

    L/e'se proprietary

    8e7ste www.spss.com

    Statistics program

    ' (originally! tatistical 'ackage for the ocial ciences was released in

    its first version in 30CL  after being founded by >orman >ie! then a political 

    science postgraduate at tanford 8niversity!U3V and now esearch 'rofessor  in

    the 6epartment of 'olitical cience at tanford and 'rofessor "meritus  of

    'olitical cience at the 8niversity of 2hicago.U,V  ' is among the most

    widely used programs for statistical analysis in social science. )t is used by

    market researchers! health researchers! survey companies! government!

    education researchers! marketing organisations and others. )n addition to

    statistical analysis! data management (case selection! file reshaping! creating

    derived data and data documentation (a metadata dictionary is stored with the

    data are features of the base software.

    36

    http://en.wikipedia.org/wiki/Computer_programhttp://en.wikipedia.org/wiki/Software_developerhttp://en.wikipedia.org/wiki/Software_developerhttp://en.wikipedia.org/w/index.php?title=SPSS_Inc.&action=edit&redlink=1http://en.wikipedia.org/wiki/Software_release_life_cyclehttp://en.wikipedia.org/wiki/Software_release_life_cyclehttp://en.wikipedia.org/wiki/2007http://en.wikipedia.org/wiki/Operating_systemhttp://en.wikipedia.org/wiki/Microsoft_Windowshttp://en.wikipedia.org/wiki/Linuxhttp://en.wikipedia.org/wiki/UNIXhttp://en.wikipedia.org/wiki/Apple_Macintoshhttp://en.wikipedia.org/wiki/List_of_software_categorieshttp://en.wikipedia.org/wiki/Statisticshttp://en.wikipedia.org/wiki/Software_licensehttp://en.wikipedia.org/wiki/Proprietaryhttp://en.wikipedia.org/wiki/Websitehttp://www.spss.com/http://en.wikipedia.org/wiki/1968http://en.wikipedia.org/wiki/Political_sciencehttp://en.wikipedia.org/wiki/Political_sciencehttp://en.wikipedia.org/wiki/Postgraduatehttp://en.wikipedia.org/wiki/Stanford_Universityhttp://en.wikipedia.org/wiki/#cite_note-0http://en.wikipedia.org/wiki/Professorhttp://en.wikipedia.org/wiki/Emeritushttp://en.wikipedia.org/wiki/University_of_Chicagohttp://en.wikipedia.org/wiki/#cite_note-1http://en.wikipedia.org/wiki/Statisticshttp://en.wikipedia.org/wiki/Social_sciencehttp://en.wikipedia.org/wiki/Metadatahttp://en.wikipedia.org/wiki/Datahttp://en.wikipedia.org/wiki/Computer_programhttp://en.wikipedia.org/wiki/Software_developerhttp://en.wikipedia.org/wiki/Software_developerhttp://en.wikipedia.org/w/index.php?title=SPSS_Inc.&action=edit&redlink=1http://en.wikipedia.org/wiki/Software_release_life_cyclehttp://en.wikipedia.org/wiki/Software_release_life_cyclehttp://en.wikipedia.org/wiki/2007http://en.wikipedia.org/wiki/Operating_systemhttp://en.wikipedia.org/wiki/Microsoft_Windowshttp://en.wikipedia.org/wiki/Linuxhttp://en.wikipedia.org/wiki/UNIXhttp://en.wikipedia.org/wiki/Apple_Macintoshhttp://en.wikipedia.org/wiki/List_of_software_categorieshttp://en.wikipedia.org/wiki/Statisticshttp://en.wikipedia.org/wiki/Software_licensehttp://en.wikipedia.org/wiki/Proprietaryhttp://en.wikipedia.org/wiki/Websitehttp://www.spss.com/http://en.wikipedia.org/wiki/1968http://en.wikipedia.org/wiki/Political_sciencehttp://en.wikipedia.org/wiki/Political_sciencehttp://en.wikipedia.org/wiki/Postgraduatehttp://en.wikipedia.org/wiki/Stanford_Universityhttp://en.wikipedia.org/wiki/#cite_note-0http://en.wikipedia.org/wiki/Professorhttp://en.wikipedia.org/wiki/Emeritushttp://en.wikipedia.org/wiki/University_of_Chicagohttp://en.wikipedia.org/wiki/#cite_note-1http://en.wikipedia.org/wiki/Statisticshttp://en.wikipedia.org/wiki/Social_sciencehttp://en.wikipedia.org/wiki/Metadatahttp://en.wikipedia.org/wiki/Data

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    tatistics included in the base software7

    • 6escriptive statistics7 2ross tabulation! Fre&uencies! 6escriptives!

    "%plore! 6escriptive atio tatistics

    • 1ivariate statistics7 Means!  t*test!  A>=?A! 2orrelation  (bivariate! partial!

    distances! >onparametric tests

    • 'rediction for numerical outcomes7 5inear regression 

    • 'rediction for identifying groups7 Factor analysis! cluster analysis (two*

    step! *means! hierarchical! 6iscriminant 

    The many features of ' are accessible via pull*down menus or can be

    programmed with a proprietary 9/5  command syntax language. 2ommand

    synta% programming has the benefits of reproducibility and handling comple%

    data manipulations and analyses. The pull*down menu interface also

    generates command synta%! though the default settings have to be changed to

    make the synta% visible to the user. 'rograms can be run interactively! or

    unattended using the supplied 'roduction Dob Facility. Additionally a #macro#

    language can be used to write command language subroutines and a 'ython 

    programmability e%tension can access the information in the data dictionary

    and data and dynamically build command synta% programs. The 'ython

    programmability e%tension! introduced in ' 39! replaced the less

    functional AS 1asic #scripts# for most purposes! although a%1asic remains

    available. )n addition! the 'ython e%tension allows ' to run any of the

    statistics in the free software package . From version 39 onwards ' can

    be driven e%ternally by a 'ython or a ?1.>"T program using supplied #plug*

    ins#.

    ' places constraints on internal file structure! data types! data processing 

    and matching files! which together considerably simplify programming. '

    datasets have a ,*dimensional table structure where the rows typically

    represent cases (such as individuals or households and the columns

    37

    http://en.wikipedia.org/wiki/Cross_tabulationhttp://en.wikipedia.org/wiki/Frequencieshttp://en.wikipedia.org/wiki/Meanhttp://en.wikipedia.org/wiki/T-testhttp://en.wikipedia.org/wiki/T-testhttp://en.wikipedia.org/wiki/ANOVAhttp://en.wikipedia.org/wiki/Correlationhttp://en.wikipedia.org/wiki/Nonparametrichttp://en.wikipedia.org/wiki/Linear_regressionhttp://en.wikipedia.org/wiki/Factor_analysishttp://en.wikipedia.org/wiki/Cluster_analysishttp://en.wikipedia.org/wiki/Discriminant_analysis_(in_marketing)http://en.wikipedia.org/wiki/Pull-down_menushttp://en.wikipedia.org/wiki/4GLhttp://en.wikipedia.org/wiki/Default_(computer_science)http://en.wikipedia.org/wiki/Subroutineshttp://en.wikipedia.org/wiki/Python_(programming_language)http://en.wikipedia.org/wiki/Visual_Basichttp://en.wikipedia.org/wiki/Free_softwarehttp://en.wikipedia.org/wiki/R_(programming_language)http://en.wikipedia.org/wiki/VB.NEThttp://en.wikipedia.org/wiki/Data_typeshttp://en.wikipedia.org/wiki/Data_processinghttp://en.wikipedia.org/wiki/Cross_tabulationhttp://en.wikipedia.org/wiki/Frequencieshttp://en.wikipedia.org/wiki/Meanhttp://en.wikipedia.org/wiki/T-testhttp://en.wikipedia.org/wiki/ANOVAhttp://en.wikipedia.org/wiki/Correlationhttp://en.wikipedia.org/wiki/Nonparametrichttp://en.wikipedia.org/wiki/Linear_regressionhttp://en.wikipedia.org/wiki/Factor_analysishttp://en.wikipedia.org/wiki/Cluster_analysishttp://en.wikipedia.org/wiki/Discriminant_analysis_(in_marketing)http://en.wikipedia.org/wiki/Pull-down_menushttp://en.wikipedia.org/wiki/4GLhttp://en.wikipedia.org/wiki/Default_(computer_science)http://en.wikipedia.org/wiki/Subroutineshttp://en.wikipedia.org/wiki/Python_(programming_language)http://en.wikipedia.org/wiki/Visual_Basichttp://en.wikipedia.org/wiki/Free_softwarehttp://en.wikipedia.org/wiki/R_(programming_language)http://en.wikipedia.org/wiki/VB.NEThttp://en.wikipedia.org/wiki/Data_typeshttp://en.wikipedia.org/wiki/Data_processing

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    represent measurements (such as age! se% or household income. =nly , data

    types are defined7 numeric and te%t (or #string#. All data processing occurs

    se&uentially case*by*case through the file. Files can be matched one*to*one

    and one*to*many! but not many*to*many.

    The graphical user interface has two views which can be toggled by clicking

    on one of the two tabs in the bottom left of the ' window. The $6ata ?iew$

    shows a spreadsheet view of the cases (rows and variables (columns. The

    $?ariable ?iew$ displays the metadata dictionary where each row represents a

    variable and shows the variable name! variable label! value label(s! print

    width! measurement type and a variety of other characteristics. 2ells in both

    views can be manually edited! defining the file structure and allowing dataentry without using command synta%. This may be sufficient for small datasets.

    5arger datasets such as statistical surveys  are more often created in data 

    entry software! or entered during computer*assisted personal interviewing! by

    scanning and using optical character recognition and optical mark recognition 

    software! or by direct capture from online &uestionnaires. These datasets are

    then read into '.

    ' can read and write data from  A2))  te%t files (including hierarchical

    files! other statistics packages! spreadsheets and databases. ' can read

    and write to e%ternal relational database tables via =612 and 5.

    tatistical output is to a proprietary file format (W.spo file! supporting pivot 

    tables for which! in addition to the in*package viewer! a stand*alone reader is

    provided. The proprietary output can be e%ported to te%t or Microsoft +ord.

     Alternatively! output can be captured as data (using the =M command! as

    te%t! tab*delimited te%t! @TM5! SM5! ' dataset or a variety of graphic

    image formats (D'"/! '>/! 1M' and "MF.

     Add*on modules provide additional capabilities. The available modules are7

    38

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    • ' 'rogrammability "%tension (added in version 39. Allows 'ython

    programming control of '.

    • ' 6ata ?alidation (added in version 39. Allows programming of

    logical checks and reporting of suspicious values.

    • ' egression Models * 5ogistic regression! ordinal regression!

    multinomial logistic regression! and mi%ed models (multilevel models.

    • ' Advanced Models * Multivariate /5M  and repeated measures

     A>=?A (removed from base system in version 39.

    • ' 2lassification Trees. 2reates classification and decision trees for

    identifying groups and predicting behaviour.

    • ' Tables. Allows user*defined control of output for reports.

    • ' "%act Tests. Allows statistical testing on small samples.

    • ' 2ategories

    • ' TrendsX

    ' 2onjoint

    • ' Missing ?alue Analysis. imple regression*based imputation.

    • ' Map

    • ' 2omple% amples (added in ?ersion 3,. Adjusts for stratification

    and clustering and other sample selection biases.

    ' erver is a version of ' with a clientBserver architecture. )t has

    some features not available in the desktop version! such as scoring functions.

    39

    http://en.wikipedia.org/w/index.php?title=Mixed_models&action=edit&redlink=1http://en.wikipedia.org/wiki/Multilevel_modelshttp://en.wikipedia.org/wiki/GLMhttp://en.wikipedia.org/wiki/Score_(statistics)http://en.wikipedia.org/w/index.php?title=Mixed_models&action=edit&redlink=1http://en.wikipedia.org/wiki/Multilevel_modelshttp://en.wikipedia.org/wiki/GLMhttp://en.wikipedia.org/wiki/Score_(statistics)

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    Versions

    ' version 3C.- runs under +indows! Mac = 3-.E and earlier! and 5inu%.

    The graphical user interface is written in Dava. The Mac = version is

    provided as a 8niversal binary! making it fully compatible with both 'ower'2

    and )ntel*based Mac hardware.

    'rior to ' 3C.-! different versions of ' were available for +indows!

    Mac = S and 8ni%. The +indows version was updated more fre&uently! and

    had more features! than the versions for other operating systems.

    ' version 3:.- for Mac = S  was not compatible with )ntel*based

    Macintosh computers! due to the osetta emulation software causing errors in

    calculations. ' 3E.- for +indows needed a downloadable hotfi% to be

    installed in order to be compatible with +indows ?ista.

    SPSS Inc.

    The program ' is sold by ' )nc.! a company that sells a wide range of

    software for market research! survey research and statistical analysis. These

    include  AM=  for structural e&uation modeling!  ample'ower   for power  

    analysis! AnswerTree used for market segmentation! ' Te%t Analysis for  

    urveys  to code open*ended responses! uantum  for cross*tabulation!

    2lementine for data mining and mr)nterview for 2AT) and online surveys. The

    company is head&uartered in 2hicago! )llinois.

    Factor analysis

    40

    http://en.wikipedia.org/wiki/Graphical_user_interfacehttp://en.wikipedia.org/wiki/Java_(programming_language)http://en.wikipedia.org/wiki/Universal_binaryhttp://en.wikipedia.org/wiki/Microsoft_Windowshttp://en.wikipedia.org/wiki/Mac_OS_Xhttp://en.wikipedia.org/wiki/Unixhttp://en.wikipedia.org/wiki/Operating_systemshttp://en.wikipedia.org/wiki/Mac_OS_Xhttp://en.wikipedia.org/wiki/Intelhttp://en.wikipedia.org/wiki/Rosetta_(software)http://en.wikipedia.org/wiki/Windows_Vistahttp://en.wikipedia.org/w/index.php?title=SPSS_Inc.&action=edit&redlink=1http://en.wikipedia.org/wiki/Market_researchhttp://en.wikipedia.org/wiki/Statistical_surveyhttp://en.wikipedia.org/w/index.php?title=AMOS_(computer_package)&action=edit&redlink=1http://en.wikipedia.org/wiki/Structural_equation_modelinghttp://en.wikipedia.org/w/index.php?title=SamplePower&action=edit&redlink=1http://en.wikipedia.org/wiki/Power_analysishttp://en.wikipedia.org/wiki/Power_analysishttp://en.wikipedia.org/w/index.php?title=AnswerTree&action=edit&redlink=1http://en.wikipedia.org/wiki/Market_research#Market_research_for_business_planninghttp://en.wikipedia.org/w/index.php?title=SPSS_Text_Analysis_for_Surveys&action=edit&redlink=1http://en.wikipedia.org/w/index.php?title=SPSS_Text_Analysis_for_Surveys&action=edit&redlink=1http://en.wikipedia.org/w/index.php?title=Quantum_(software)&action=edit&redlink=1http://en.wikipedia.org/wiki/Data_mininghttp://en.wikipedia.org/w/index.php?title=MrInterview&action=edit&redlink=1http://en.wikipedia.org/wiki/CATIhttp://en.wikipedia.org/wiki/Chicago%2C_Illinoishttp://en.wikipedia.org/wiki/Graphical_user_interfacehttp://en.wikipedia.org/wiki/Java_(programming_language)http://en.wikipedia.org/wiki/Universal_binaryhttp://en.wikipedia.org/wiki/Microsoft_Windowshttp://en.wikipedia.org/wiki/Mac_OS_Xhttp://en.wikipedia.org/wiki/Unixhttp://en.wikipedia.org/wiki/Operating_systemshttp://en.wikipedia.org/wiki/Mac_OS_Xhttp://en.wikipedia.org/wiki/Intelhttp://en.wikipedia.org/wiki/Rosetta_(software)http://en.wikipedia.org/wiki/Windows_Vistahttp://en.wikipedia.org/w/index.php?title=SPSS_Inc.&action=edit&redlink=1http://en.wikipedia.org/wiki/Market_researchhttp://en.wikipedia.org/wiki/Statistical_surveyhttp://en.wikipedia.org/w/index.php?title=AMOS_(computer_package)&action=edit&redlink=1http://en.wikipedia.org/wiki/Structural_equation_modelinghttp://en.wikipedia.org/w/index.php?title=SamplePower&action=edit&redlink=1http://en.wikipedia.org/wiki/Power_analysishttp://en.wikipedia.org/wiki/Power_analysishttp://en.wikipedia.org/w/index.php?title=AnswerTree&action=edit&redlink=1http://en.wikipedia.org/wiki/Market_research#Market_research_for_business_planninghttp://en.wikipedia.org/w/index.php?title=SPSS_Text_Analysis_for_Surveys&action=edit&redlink=1http://en.wikipedia.org/w/index.php?title=SPSS_Text_Analysis_for_Surveys&action=edit&redlink=1http://en.wikipedia.org/w/index.php?title=Quantum_(software)&action=edit&redlink=1http://en.wikipedia.org/wiki/Data_mininghttp://en.wikipedia.org/w/index.php?title=MrInterview&action=edit&redlink=1http://en.wikipedia.org/wiki/CATIhttp://en.wikipedia.org/wiki/Chicago%2C_Illinois

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    A''*tate, SPSS Outut

    Fa/t*+ A'al3ss

    This page shows an e%ample of a factor analysis with footnotes e%plaining the

    output. 'rofessor Dames idanius! who has generously shared them with us!

    collected the data used in this e%ample. Gou can download the data set

    =verview7 The #what# and #why# of factor analysis

    Factor analysis is a method of data reduction. )t does this by seeking

    underlying unobservable (latent variables that are reflected in the observed

    variables (manifest variables. There are many different methods that can be

    used to conduct a factor analysis (such as principal a%is factor! ma%imum

    likelihood! generalized least s&uares! unweighted least s&uares! There are

    also many different types of rotations that can be done after the initial

    e%traction of factors! including orthogonal rotations! such as varima% and

    e&uima%! which impose the restriction that the factors cannot be correlated!

    and obli&ue rotations! such as proma%! which allow the factors to be correlated

    with one another. Gou also need to determine the number of factors that you

    want to e%tract. /iven the number of factor analytic techni&ues and options! itis not surprising that different analysts could reach very different results

    analyzing the same data set. @owever! all analysts are looking for simple

    structure. imple structure is pattern of results such that each variable loads

    highly onto one and only one factor.

    Factor analysis is a techni&ue that re&uires a large sample size. Factor

    analysis is based on the correlation matri% of the variables involved! and

    correlations usually need a large sample size before they stabilize.

    Tabachnick and Fidell (,--3! page ELL cite 2omrey and 5ee$s (300, advise

    regarding sample size7 E- cases is very poor! 3-- is poor! ,-- is fair! :-- is

    good! E-- is very good! and 3--- or more is e%cellent. As a rule of thumb! a

    41

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    bare minimum of 3- observations per variable is necessary to avoid

    computational difficulties.

    For the e%ample below! we are going to do a rather #plain vanilla# factor

    analysis. +e will use iterated principal a%is factor with three factors as our

    method of e%traction! a varima% rotation! and for comparison! we will also

    show the proma% obli&ue solution. The determination of the number of factors

    to e%tract should be guided by theory! but also informed by running the

    analysis e%tracting different numbers of factors and seeing which number of

    factors yields the most interpretable results.

    )n this e%ample we have included many options! including the original and

    reproduced correlation matri%! the scree plot and the plot of the rotated

    factors. +hile you may not wish to use all of these options! we have included

    them here to aid in the e%planation of the analysis. +e have also created a

    page of annotated output for a principal components analysis that parallels this

    analysis. For general information regarding the similarities and differences

    between principal components analysis and factor analysis! see Tabachnick

    and Fidell (,--3! for e%ample.

    4a/t*+ 

      te2" te2? te2@ te2! te2$% te2$

    te2$$ te2$= te2$#

     

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    The table above is output because we used the u'a+ate option on the 

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    of a concern that the variables have very different means andBor standard

    deviations (which is often the case when variables are measured on different

    scales.

    a. Mea' * These are the means of the variables used in the factor analysis.

    b. St,. Deat*' * These are the standard deviations of the variables used in

    the factor analysis.

    c. A'al3ss N * This is the number of cases used in the factor analysis.

    The table above is included in the output because we used the ,et option on

    the  

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    Taken together! these tests provide a minimum standard which should be

    passed before a factor analysis (or a principal components analysis should be

    conducted.

    a. C*22u'altes * This is the proportion of each variable$s variance that can

    be e%plained by the factors (e.g.! the underlying latent continua. )t is also

    noted as h, and can be defined as the sum of s&uared factor loadings for the

    variables.

    45

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    b. I'tal * +ith principal factor a%is factoring! the initial values on the diagonal

    of the correlation matri% are determined by the s&uared multiple correlation of

    the variable with the other variables. For e%ample! if you regressed items 39

    through ,9 on item 3:! the s&uared multiple correlation coefficient would be .

    EC9.

    c. E6t+a/t*'  * The values in this column indicate the proportion of each

    variable$s variance that can be e%plained by the retained factors. ?ariables

    with high values are well represented in the common factor space! while

    variables with low values are not well represented. ()n this e%ample! we don$t

    have any particularly low values. They are the reproduced variances from the

    factors that you have e%tracted. Gou can find these values on the diagonal ofthe reproduced correlation matri%.

    a. Fa/t*+   * The initial number of factors is the same as the number of

    variables used in the factor analysis. @owever! not all 3, factors will be

    retained. )n this e%ample! only the first three factors will be retained (as we

    re&uested.

    b. I'tal E9e'alues  * "igenvalues are the variances of the factors.

    1ecause we conducted our factor analysis on the correlation matri%! the

    variables are standardized! which means that the each variable has a variance

    of 3! and the total variance is e&ual to the number of variables used in the

    analysis! in this case! 3,.

    46

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    c. T*tal * This column contains the "igenvalues. The first factor will always

    account for the most variance (and hence have the highest "igenvalue! and

    the ne%t factor will account for as much of the left over variance as it can! and

    so on. @ence! each successive factor will account for less and less variance.

    d. O4 Va+a'/e  * This column contains the percent of total variance

    accounted for by each factor.

    e. Cu2ulate   * This column contains the cumulative percentage of

    variance accounted for by the current and all preceding factors. For e%ample!

    the third row shows a value of CL.:3:. This means that the first three factors

    together account for CL.:3:4 of the total variance.

    f. E6t+a/t*' Su2s *4 S5ua+e, L*a,'9s * The number of rows in this panel

    of the table correspond to the number of factors retained. )n this e%ample! we

    re&uested that three factors be retained! so there are three rows! one for each

    retained factor. The values in this panel of the table are calculated in the

    same way as the values in the left panel! e%cept that here the values are

    based on the common variance. The values in this panel of the table will

    always be lower than the values in the left panel of the table! because they arebased on the common variance! which is always smaller than the total

    variance.

    g. R*tat*' Su2s *4 S5ua+e, L*a,'9s * The values in this panel of the

    table represent the distribution of the variance after the varima% rotation.

    ?arima% rotation tries to ma%imize the variance of each of the factors! so the

    total amount of variance accounted for is redistributed over the three e%tracted

    factors.

    47

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    The scree plot graphs the eigenvalue against the factor number. Gou can see

    these values in the first two columns of the table immediately above. From the

    third factor on! you can see that the line is almost flat! meaning the each

    successive factor is accounting for smaller and smaller amounts of the total

    variance.

    48

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    b. Fa/t*+ Mat+6 * This table contains the unrotated factor loadings! which arethe correlations between the variable and the factor. 1ecause these are

    correlations! possible values range from *3 to O3. =n the  

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    read by removing the clutter of low correlations that are probably not

    meaningful anyway.

    c. Fa/t*+  * The columns under this heading are the unrotated factors that

    have been e%tracted. As you can see by the footnote provided by ' (a.!

    three factors were e%tracted (the three factors that we re&uested.

    c. Re+*,u/e, C*++elat*'s * This table contains two tables! the reproduced

    correlations in the top part of the table! and the residuals in the bottom part of

    the table.

    d. Re+*,u/e, C*++elat*'  * The reproduced correlation matri% is the

    correlation matri% based on the e%tracted factors. Gou want the values in the

    reproduced matri% to be as close to the values in the original correlation matri%

    as possible. This means that the residual matri%! which contains the

    differences between the original and the reproduced matri% to be close to

    50

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    zero. )f the reproduced matri% is very similar to the original correlation matri%!

    then you know that the factors that were e%tracted accounted for a great deal

    of the variance in the original correlation matri%! and these few factors do a

    good job of representing the original data. The numbers on the diagonal of the

    reproduced correlation matri% are presented in the 2ommunalities table in the

    column labeled "%tracted.

    e. Res,ual * As noted in the first footnote provided by ' (a.! the values

    in this part of the table represent the differences between original correlations

    (shown in the correlation table at the beginning of the output and the

    reproduced correlations! which are shown in the top part of this table. For

    e%ample! the original correlation between item3: and item39 is .CC3! and thereproduced correlation between these two variables is .C9C. The residual is .

    -3C Y .CC3 * .C9C (with some rounding error.

    51

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    b. R*tate, Fa/t*+ Mat+6  * This table contains the rotated factor loadings!

    which are the correlations between the variable and the factor. 1ecause these

    are correlations! possible values range from *3 to O3. =n the  

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    read by removing the clutter of low correlations that are probably not

    meaningful anyway.

    c. Fa/t*+  * The columns under this heading are the rotated factors that have

    been e%tracted. As you can see by the footnote provided by ' (a.! three

    factors were e%tracted (the three factors that we re&uested. These are the

    factors that analysts are most interested in and try to name. For e%ample! the

    first factor might be called #instructor competence# because items like

    #instructor well prepare# and #instructor competence# load highly on it. The

    second factor might be called #relating to students# because items like

    #instructor is sensitive to students# and #instructor allows me to ask &uestions#

    load highly on it. The third factor has to do with comparisons to otherinstructors and courses.

    The table below is from another run of the factor analysis program shown

    above! e%cept with a proma% rotation. +e have included it here to show how

    different the rotated solutions can be! and to better illustrate what is meant by

    simple structure. As you can see with an obli&ue rotation! such as a proma%

    rotation! the factors are permitted to be correlated with one another. +ith an

    orthogonal rotation! such as the varima% shown above! the factors are not

    permitted to be correlated (they are orthogonal to one another. =bli&ue

    rotations! such as proma%! produce both factor pattern and factor structure

    matrices. For orthogonal rotations! such as varima% and e&uima%! the factor

    structure and the factor pattern matrices are the same. The factor structure

    matri% represents the correlations between the variables and the factors and is

    often called the factor loading matri%. The factor pattern matri% represents thelinear combination of the variables.

    53

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    St+u/tu+e Mat+-6

    .L3C .9;3 .ELE

    .;LC .9LL .E;9

    .;CL .E9; .EL;

    .CL- .E-; .E,-

    .;EE .C;, .CC,

    .EC9 .L,9 .C-E

    .9:- .;E3 .9;L

    .9,; .C-C .99C

    .C,L .;-3 .C90

    .9C, .CEC .EEC

    .;3L .CC0 .LLE

    .EL, .E;: .;0E

    item3: )>T82 +"55

    '"'A"6

    item39 )>T82

    2@=5A5G /A'

    item3E )>T82T=

    2=>F)6">2"

    item3C )>T82T=

    F=28 5"2T8"

    item3; )>T82T=

    8" 25"A

    "5"?A>T "SAM'5"

    item3L )>T82T=

    ">)T)?" T=

    T86">T

    item30 )>T82T= A55=+ M" T= A

    8"T)=>

    item,- )>T82T=

    ) A22")15" T=

    T86">T =8T)6"

    25A

    item,3 )>T82T=

     A+A" =F T86">T

    8>6"TA>6)>/

    item,, ) AM AT)F)"6

    +)T@ T86">T

    '"F=MA>2"

    "?A58AT)=>

    item,: 2=M'A"6 T=

    =T@" )>T82T=!

    T@) )>T82T= )

    item,9 2=M'A"6 T=

    =T@" 2=8" T@)

    2=8" +A

    3 , :

    Factor 

    "%traction Method7 'rincipal A%is Factoring.

    otation Method7 'roma% with aiser >ormalization.

    The table below indicates that the rotation done is an obli&ue rotation. )f

    an orthogonal rotation had been done (like the varima% rotation shown above!

    this table would not appear in the output because the correlations between the

    factors are set to -. @ere! you can see that the factors are highly correlated.

    54

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    The rest of the output shown below is part of the output generated by the

    ' synta% shown at the beginning of this page.

    a. Fa/t*+ T+a's4*+2at*' Mat+6 * This is the matri% by which you multiplythe unrotated factor matri% to get the rotated factor matri%.

    55

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    The plot above shows the items (variables in the rotated factor space. +hile

    this picture may not be particularly helpful! when you get this graph in the

    ' output! you can interactively rotate it. This may help you to see how the

    items (variables are organized in the common factor space.

    56

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    a. Fa/t*+ S/*+e C*e44/e't Mat+6 * This is the factor weight matri% and is

    used to compute the factor scores.

    a. Fa/t*+ S/*+e C*a+a'/e Mat+6  * 1ecause we used an orthogonal

    rotation! this should be a diagonal matri%! meaning that the same number

    should appear in all three places along the diagonal. )n actuality the factors

    are uncorrelated however! because factor scores are estimated there may be

    slight correlations among the factor scores.

    57

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    PRINCIPAL COMPONENTS ANALYSIS

    'rincipal components analysis is a method designed to transfer a set of

    interrelated variables into a new set of uncorrelated components whichaccount for all the variance in the original variables.

    P+'/al C*2*'e'ts A'al3ss

     Apply ' Factor Analysis 'rocedure to obtain principal components

    analysis.

    SPSS 4*+ 8',*0s

     A. "nter 6ata.

    58

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    1. From the menus choose7 Analyze Z 6ata eduction Z Factor. elect two

    variables (%3 and %, to be analyzed.

    2. 2lick on 6escriptive

    )n the 2orrelation Matri% area7 elect 2oefficients. 2lick on

    continue.

    6. 2lick on "%traction. The "%traction dialog bo% will appear.

    Method7 The default is 'rincipal 2omponents.

    )n the "%tract area7 elect >umber of Factors. Type [,\. 2lick

    2ontinue.

    59

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    ". 2lick on cores. The Factor cores dialog bo% will appear.

    elect ave as ?ariables (>ote that Factor 3]3 and Factor ,]3 will

    be saved..

    elect 6isplay Factor core 2oefficient Matri%.

    2lick 2ontinue. 2lick =.

    SPSS Outut 

    3. 2orrelation Matri% and 2ommunalities

    60

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    61

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    • >otice that the original variables are correlated (r Y .:-.

    • The trace of the correlation matri% e&uals OY,.

    • "ach variable is standardized to have a variance of . The total variance

    of the original standardized variables is e&ual to ,.

    • The proportion of variance in a variable e%plained by the components is

    called the communality of the variable.

    'rincipal components analysis transfers a set of interrelated

    variables into a new set of uncorrelated components which account

    for all the variance in the original variables. Thus! the communality

    of each original variable is always 3.

    ,. "igenvalues

    • um of "igenvalues

    >otice that the sum of the eigenvalues (3.: O .; Y ,.- e&uals the trace of

    the correlation matri% and the total variance of the original standardized

    variables is e&ual to ,. Thus! the total variance of both variables was

    analyzed.

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    • The eigenvalue indicates the amount of variance accounted for by each

    new component. The first principal component e%plains the ma%imum

    variance in all the variables ** a variance of 3.:-. The second principal

    component e%plains the ma%imum amount of the remaining variance ** a

    variance of .;-. The two components e%plain all the variance in the

    original variables (3.:- O .;- Y ,.

    • The proportion of variance accounted for by the first principal component

    e&uals .CE.

    The proportion of variance accounted for by the second principal

    component e&uals .:E.

    :. 2omponent core 2oefficient Matri%

    "ach principal component can be e%pressed as a linear

    combination of the original variables. The component score

    coefficients (weights are shown below

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    9. Factor (2omponent cores

     After obtaining the factor score coefficients! we can compute factor

    scores. The saved factor scores are displayed in the 6ata "ditor+indow7 Factor 3]3 and Factor ,]3.

    E. 2omponent Matri%

    The correlations between the principal component scores and the

    original variables are shown below

    This type of matri% is known as a 2at+6 *4 4a/t*+ (/*2*'e't)

    l*a,'9s.

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    C. To compute the correlation between the two factor scores (factor 3]3 and

    factor ,]3! from the menus choose7 Analyze Z 2orrelate Z 1ivariate.

    elect two variables7 factor 3]3 and factor ,]3.

    SPSS Outut 

    The correlation between the two components is zero. 'rincipal

    components analysis is a method designed to transfer a set of

    interrelated variables into a new set of u'/*++elate, components

    which account for all the variance in the original variables.

    E6a2le $

     A researcher measured 3,-- children on the eleven subtests of