Transcription of Exploratory and Confirmatory Factor Analysis
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Exploratory and Confirmatory Factor Analysis
Exploratory and Confirmatory Factor AnalysisGeneral ConceptsExploratory Factor AnalysisConfirmatory Factor AnalysisNewsom, Spring 2017, Psy495 Psychological Measurement1 General ConceptsFactor Analysis provides information about reliability, item quality, and construct validityGeneral goal is to understand whether and to what extent items from a scale may reflect an underlying hypothetical construct or constructs, known as factorsAn analytic method with high sensitivity to identify problematic items and assess the number of factorsNewsom, Spring 2017, Psy495 Psychological Measurement2 General ConceptsIn general, Factor Analysis methods decompose (or break down) the covariation among items in a measure into meaningful componentsHigher inter-item correlations should reflect greater overlap in what the items measure, and, therefore, higher inter-item correlations reflect higher internal reliability Newsom, Spring 2017, Psy495 Psychological Measurement3 General ConceptsNewsom, Spring 2017, Psy495 Psychological Measurement4 Observed = True+ErrorScoreScoreXo= Xt+ XeClassical Test Theory (CTT)General ConceptsNewsom, Spring 2017, Psy495 Psychological Measurement5 Factor model concept is analogous to CTTXtXoXeTrue scoreObserved scoreErrorFactorMeasuredvariableError (measurement residual)General ConceptsNewsom, Spring 2017, Psy495 Psychological Measurement6In practice, a Factor cannot be estimated with one itemShoul
Jul 29, 2016 · Confirmatory Factor Analysis. Confirmatory factor analysis (CFA) starts with a hypothesis about how many factors there are and which items load on which factors. Factor loadings and factor correlations are obtained as in EFA. EFA, in contrast, does not specify a measurement model initially and usually seeks to discover the measurement model
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