Journal ArticleDOI
The theoretical foundations of principal factor analysis, canonical factor analysis, and alpha factor analysis
TLDR
In this paper, it is suggested that the choice between PFA, CFA and AFA involves relatively independent choices of features of each, and that in most cases CFA is to be preferred.Abstract:
It is shown that PFA, CFA and AFA are particular cases of a scale-invariant factoring procedure based on variance ratios of certain weighted combinations of variables. Standard derivations in the literature are shown, in contrast, to have unsatisfactory features. It is suggested that the choice between PFA, CFA and AFA involves relatively independent choices of features of each, and that in most cases CFA is to be preferred.read more
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Journal ArticleDOI
CRONBACH'S α, REVELLE'S β, AND MCDONALD'S ωH : THEIR RELATIONS WITH EACH OTHER AND TWO ALTERNATIVE CONCEPTUALIZATIONS OF RELIABILITY
TL;DR: In this article, the authors make theoretical comparisons among five coefficients (Cronbach's α, Revelle's β, McDonald's ω� h�, and two alternative conceptualizations of reliability) and demonstrate formally their nonequivalence.
Journal ArticleDOI
Methodology review: Assessing unidimensionality of tests and items
TL;DR: In this paper, various methods for determining unidimensionality are reviewed and the rationale of these methods is as sessed, and it is suggested that those based on the size of residuals after fitting a two- or three-parameter latent trait model may be the most useful to detect unidimensionalality.
Journal ArticleDOI
Thanks coefficient alpha, we'll take it from here.
TL;DR: Evidence that recommendations against Cronbach's alpha have not appreciably changed how empirical studies report reliability is provided and several alternative measures that make less rigid assumptions which provide justifiably higher estimates of reliability compared to Cronbach’s alpha are discussed.
Journal ArticleDOI
Reliability Estimation in a Multilevel Confirmatory Factor Analysis Framework
TL;DR: It is shown that Monte Carlo confidence intervals and Bayesian credible intervals closely reflect the sampling distribution of reliability estimates under most conditions and that small cluster size can lead to overestimates of reliability at the between level of analysis.
Journal ArticleDOI
Measuring Change and Persistence in Human Affairs: Types of Change Generated by OD Designs
TL;DR: In this article, the authors argue that an inadequate concept of change leads to diminished or misguided applied research, and they urge distinguishing kinds of change, distinctions which are suggested by experience and also are supported with evidence generated by exotic statistical and computational techniques in which we have been engaged.
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