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Titlebook: Configural Frequency Analysis; Foundations, Models, Alexander von Eye,Wolfgang Wiedermann Book 2021 The Editor(s) (if applicable) and The A

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楼主: Grievous
发表于 2025-3-27 00:17:52 | 显示全部楼层
The J-homomorphism and quadratic forms, a discussion of CFA methods for the analysis of lags in intra-individual series of scores, and it concludes with the introduction of a new class of base models, that of functions that represent the data generation mechanism.
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Isometries of Riemannian Manifolds, used to test causal hypotheses. This is illustrated for the cases of necessary, sufficient, and necessary and sufficient causes, and for Granger causes..The chapter concludes with a discussion of CFA methods for intensive longitudinal data, Bayesian approaches to CFA, and a discussion of limits of
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Questions that Can Be Answered with CFA, contradictions to general statements about variable relations. These contradictions are local, that is, occur in specific sectors of the data space, and describe subgroups of units of analysis. When, in a particular sector, more cases are observed than expected under a . (usually a probability mode
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Models of Longitudinal CFA,the analysis of differences between time-adjacent scores and the analysis of longitudinal trends. This is followed by methods for the analysis of magnitude of longitudinal scores, variability, and shape of trajectories. Series of scores that differ in length can also be analyzed with CFA. The same a
发表于 2025-3-28 01:11:56 | 显示全部楼层
Designs for CFA,itively extreme. Therefore, the use of fractional factorial designs has been suggested. These designs allow one to answer questions based on far fewer cells than completely crossed designs. This chapter introduces such designs, with an emphasis on Box-Hunter designs. Examples show that results from
发表于 2025-3-28 05:28:37 | 显示全部楼层
Special Variables in CFA,riables that span the cross-classification that is analyzed. Examples of such variables include covariates and vectors that represent scale levels of variables. . are variables that the experimenter does not control, but that are, possibly, related to the outcome variables. This chapter shows how co
发表于 2025-3-28 07:09:21 | 显示全部楼层
The Treasure Chest of CFA, Two approaches are presented that can help researchers avoid such bias..CFA is a genuinely person-oriented method of analysis. When applied in tandem with variable-oriented methods, CFA can lead to an in-depth explanation of results. Specifically, effects can be identified that result in cells that
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