Three Myths and Truths About Model Fit in Confirmatory Factor Analysis

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by Christos Giannoulis, PhD

We mentioned before that we use Confirmatory Factor Analysis to evaluate whether the relationships among the variables are adequately represented by the hypothesized factor structure. The factor structure (relationships between factors and variables) can be based on theoretical justification or previous findings.

Once we estimate the relationship indicators of those factors, the next task is to determine the extent to which these structure specifications are consistent with the data. The main question we are trying to answer is:

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by Christos Giannoulis, PhD Today, I would like to briefly describe four misconceptions that I feel are commonly perceived by novice researchers in Exploratory Factor Analysis: Misconception 1: The choice between component and common factor extraction procedures is not so important. In Principal Component Analysis, a set of variables is transformed into a smaller set […]

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June 2018 Member Webinar: The Fundamentals of Sample Size Calculations

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