Manalansan_English Language Anxiety

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    English Language Anxiety:English Language Anxiety:

    Confirmatory FactorConfirmatory FactorAnalysisAnalysis

    English Language Anxiety:English Language Anxiety:

    Confirmatory FactorConfirmatory FactorAnalysisAnalysis

    Mylene A. ManalansanMylene A. ManalansanPHDAPLIN StudentPHDAPLIN Student

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    Research Question

    To find the level of Englishlanguage anxiety of freshman

    students coming from fourdifferent provincial colleges.

    To determine what factors hinder

    effective English learningexperience.

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    Methodology

    148 college freshman students

    40 item questionnaire which wasfactored into 4 namely:

    communication anxiety; fear fornegative evaluation; test anxiety;and English classes anxiety

    Data Analysis ConfirmatoryFactor Analysis using the SEMapproach

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    Confirmatory Factor Analysis

    There is a developed and specifichypothesis about the factorial structureof a battery of attributes.

    The hypothesis concerns the number of

    common factors, their pattern ofintercorrelation, and pattern of commonfactor weights.

    Used to indicate how well a set of data

    fits the hypothesized structure. The structure is hypothesized in

    advance. Follow-up to a standard factor analysis

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    Confirmatory Factor Analysis

    Allows the investigator to fitcommon factor model to observeddata under various types of

    constraints. Analysis: The parameters of themodel is estimated, and thegoodness of fit of the solution to

    the data is evaluated. The degree to which the solutionfit the data would provide evidencefor or against the prior hypothesis.

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    Confirmatory Factor Analysis

    A solution which fit well would lendsupport for the hypothesis and provideevidence for construct validity of theattributes and the hypothesizedfactorial structure of the domain as

    represented by the battery ofattributes. CFA is integrated in Structural EquationModeling (SEM), helping create thelatent variables modeled by SEM.

    It is done to validate a scale or indexby demonstrating that its constituentitems load on the same factor, and todrop proposed scale items which cross-load on more than one factor.

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    Eigenvalues

    The scree test. A graphical methodwhere the eigenvalues are placed in a

    line plot. The place where the smoothdecrease of eigenvalues appears tolevel off to the right of the plot. Tothe right of this point, presumably,

    one finds only "factorial scree" -"scree" is the geological termreferring to the debris which collectson the lower part of a rocky slope.

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    P l o t o f E i genva l ues

    N um ber o f E i genva l ues

    0

    1

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    alue

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    Using the scree test to assessthe number of acceptable

    factors , only four factorswere analyzed with 1 item withhigh factor loading starting at

    the third to the ninth factor

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    Combining variables that are highlycorrelated with each other.

    Factor Loadings-the correlationsbetween the factors and thevariables.

    Principal Component Analysis

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    Factor Rotation

    Factor loadings are plotted in ascatterplot. In that plot, each variableis represented as a point. In this plot

    we could rotate (clockwise/counterclockwise) the axes in anydirection without changing the relativelocations of the points to each other;

    however, the actual coordinates of thepoints, that is, the factor loadings wouldof course change.

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