By Alexander von Eye PhD, Patrick Mair, Eun-Young Mun PhD

Utilizing real-world info examples, this authoritative booklet indicates tips to use the newest configural frequency research (CFA) options to research specific facts. a number of the strategies are awarded right here for the 1st time. not like tools that target relationships between variables, equivalent to log-linear modeling, CFA permits researchers to guage transformations and alter at the extent of person cells in a desk. Illustrated are how you can determine and try for mobilephone configurations which are both constant with or opposite to hypothesized styles (the varieties and antitypes of CFA); regulate for capability covariates that will impression saw effects; strengthen leading edge prediction types; deal with questions of moderation and mediation; and learn extensive longitudinal information. The publication additionally describes unfastened software program functions for executing CFA. (20110302)

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Extra info for Advances in Configural Frequency Analysis (Methodology In The Social Sciences)

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There are two groups of CFA base models. The first includes most of the original CFA models (Krauth & Lienert, 1973). It is called the group of global CFA base models. These models do not distinguish between variables of different status. By implication, there is no grouping of variables in predictors and criteria or dependent and independent variables. There is not even the separation of groups of variables that are related to one another. All variables have the same status. This group of models has its parallel in exploratory factor analysis, correspondence analysis, or in multidimensional scaling.

This column is all that is needed for the null model. This base model proposes a uniform distribution for the entire agreement table. The second block contains the 10 vectors needed for the main effects of the two raters. Each rater used six rating categories. Therefore, five effects coding vectors are needed per rater to capture the main effects of the two raters. The main effect model for rater independence, which is also used to calculate Cohen’s κ, uses the constant vector and the main effects vectors.

The base model represents a regional CFA model. It specifies that there are no relationships between P83 and P87 on one side and G on the other. However, P83 and P87 can be associated in the form of an auto-association. 5. B N The design matrix for this base model is         X =        1 1 1 1 1 1 1 1 1 1 1 1 −1 −1 −1 −1 1 1 −1 −1 1 1 −1 −1 1 −1 1 −1 1 −1 1 −1 1 1 −1 −1 −1 −1 1 1          .        The first column vector in this design matrix represents the constant of the base model.

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