In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social research. It is used to test whether measures of a construct are consistent with a researcher's understanding of the nature of that construct (or factor).
This Video is utilizing the Conceptual model developed to explain the Shopping Experience of retail consumers during this Covid-19 pandemic outbreak.
The latent Variables are Social Distance, Store Hygiene, Store Operating Time, and the Unavailability of Entertainment Avenues to predict the Shopping Experience.
For more videos on Easy Stats kindly visit
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For a theoretical explanation Kindly Visit Dr. Seema Khan's Educational Lectures
Characteristics of a Good Test / Tool
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Reliability - Types of Reliability (Part 1)
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Validity-Types of Validity
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#CFA #AMOS #modelfit #adilzia #confirmatoryfactoranalysis #SEM
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Please watch: "One way ANOVA and Hypothesis test using SPSS. "
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