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Confirmatory Factor Analysis

Kohei Adachi ()
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Kohei Adachi: Osaka University, Graduate School of Human Sciences

Chapter Chapter 10 in Matrix-Based Introduction to Multivariate Data Analysis, 2020, pp 149-163 from Springer

Abstract: Abstract LetConfirmatory factor analysis (CFA) the positive correlationsPositive correlation be observed among the test scores for physics, chemistry, and biology. In order to investigate the causal relationships among the three variables, we can use the path analysisPath analysis from the previous chapter. For example, we can evaluate the modelModel in which a person’s ability in physics influences his/her scores in chemistry and biology; ability in physics is a cause, while the scores in chemistry and biology are the results.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-4103-2_10

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DOI: 10.1007/978-981-15-4103-2_10

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