factor analysis - group 4

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    FACTOR ANALYSISGroup 4

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    FACTOR ANALYSIS Factor analysis is a statistical method used to describe

    variability among observed variables in terms ofa potentially

    lowernumber o f unobserved variables called factors.

    Its a general name denoting a class of Procedures primarily

    used for data reduction and summarization.

    Variables are not classified as either dependent or

    independent. Instead, the whole set of interdependentrelationships among variables is examined in orderto define

    a set ofcommon dimensions called Factors.

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    PURPOSE

    To identify underlying dimensionscalled Factors, thatexplain

    thecorrelationsamongaset ofvariables.

    -- lifestylestatementsmaybe used to measurethe

    psychographic profile ofconsumers.

    To identifyanew, smallerset of uncorrelated variablesto

    replacethe originalset ofcorrelated variables forsubsequent

    analysissuchas Regression or Discriminant Analysis.

    -- psychographic factorsmaybe used asindependent

    variablesto explainthe differencebetweenloyaland

    nonloyalcustomers.

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    ASSUMPTIONS Models are usually based on linear relationships

    Models assume that the data collected are interval scaled

    The data should be amenable for f actor analysis. It should

    not be such that a variable is only correlated with itselfand

    no correlation exists with any othervariables. This is like an

    Identity Matrix. Factor analysis cannot be done on such

    data.

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    METHODS

    STAGE 1 :

    FACTOR EXTRACTION PROCESS

    STAGE 2 :

    ROTATION OF PRINCIPAL COMPONENTS

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    FACTOR ANALYSIS IN

    MARKETING

    Thebasicstepsare:

    Identifythesalientattributesconsumers useto evaluate products

    inthiscategory.

    Usequantitativemarketing researchtechniques (suchassurveys)to collect data fromasample of potentialcustomers

    concerningtheir ratings ofallthe productattributes.

    Inputthe datainto astatistical programand runthe factor

    analysis procedure.Thecomputer willyield aset of underlying

    attributes (or factors).

    Usethese factorsto construct perceptualmapsand other product

    positioning devices.

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    ADVANTAGES

    It reduces datacomplexityby reducingthenumber of

    variables

    Factor Analysiscanbe used to identifyhidden dimensions or

    constructs whichmaynotbeapparent from directanalysis

    Itiseasyand ensures descionmaking

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    DISADVANTAGES

    Usefulness depends onthe researchers'abilityto collecta

    sufficientset of productattributes.Ifimportantattributesare

    missed thevalue ofthe procedureis reduced.

    Ifsets of observed variablesarehighlysimilarto each otherand distinct from otheritems, factoranalysis willassigna

    single factorto them.Thismaymakeitharderto identify

    factorsthatcapturemoreinteresting relationships.

    Namingthe factorsmay requirebackground knowledge ortheorybecausemultipleattributescanbehighlycorrelated

    forno apparent reason.

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    THANK YOU

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