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
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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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