Book

exploratory factor analysis (understanding statistics)

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Themeresearch-bulk-chunkorph-exploratoryfact

Contextresearch_analysis

What this book knows

Factor analysis reveals the hidden structure beneath correlations, showing how many distinct constructs actually underlie a set of measures.

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mind-and-cognitioneducation-and-formationself-and-identity

mind-and-cognition

Factor analysis refers to a set of statistical procedures designed to determine the number of distinct constructs needed to account for the pattern of correlations among a set of measures.
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The common factor model is based on more realistic assumptions because it directly acknowledges the existence of unique variance.
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The purpose of oblique rotation is to arrive at a solution with simple structure that takes into account correlations among factors and estimates the unique effects of each common factor.
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education-and-formation

EFA was developed more than 100 years ago and has been extensively applied in many scientific disciplines across the ensuing decades.
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Researchers should carefully consider these assumptions prior to collecting any data for which an EFA is likely to be used.
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self-and-identity

These 30 items are hypothesized to measure three aspects of self-concept: mathematical, verbal, and general, with reliability estimates in the .80 to .90 range.
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Illuminates

6 published passages · book excerpt · research analysis

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