By Alexander von Eye
Configural Frequency research (CFA) offers an up to the moment finished advent to its ideas, versions, and functions. Written in a proper but available type, genuine empirical facts examples are used to demonstrate key ideas. step by step software sequences are used to teach readers the way to hire CFA equipment utilizing advertisement software program applications, reminiscent of SAS, SPSS, SYSTAT, S-Plus, or these written in particular to accomplish CFA. CFA is a crucial technique for reading effects concerned with express and longitudinal info. It permits one to respond to the query of even if person cells or teams of cells of cross-classifications vary considerably from expectancies. the expectancies are calculated utilizing tools hired in log-linear modeling or a priori details. it's the in simple terms statistical approach that enables one to make statements approximately empty parts within the facts house. utilized and or person-oriented researchers, statisticians, and complicated scholars drawn to CFA and express and longitudinal facts will locate this ebook to be a important source. built due to the fact 1969, this technique is now utilized by a number of researchers worldwide in various disciplines, together with psychology, schooling, medication, and sociology. Configural Frequency research will function an exceptional textual content for classes on configural frequency research, specific variable research, or research of contingency tables. necessities comprise an figuring out of descriptive facts, speculation trying out, statistical version becoming, and a few figuring out of express information research and matrix algebra.
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Extra resources for Configural Frequency Analysis: Methods, Models, and Applications
CFA Base Models 21 In contrast, CFA focuses on the discrepancies between some base model and the data. These discrepancies appear in the form of types and antitypes. If types and antitypes emerge, the base model is contradicted and does not describe the data well. Because types and antitypes are interpreted at the level of configurations rather than variables, they indicate local associations (Havrtiek & Lienert, 1984) rather than standard, global associations among variables. It should be noticed, however, that local associations ofien result in the description of a variable association as existing.
3). The best known and most frequently employedarethe multinomial and the product Sampling Scheme and Admissibilitv of CFA Base Models 32 multinomial sampling schemes(Christensen, 1997; Jobson, 1992; von Eye & Schuster, 1998). These two schemes are discussed here. Before discussing the consequences of selecting a particular sampling scheme for the selection of CFA base models, it should be made explicit that employing either sampling scheme considered here does not impact the usefulness of log-linear base models for analyzing the data.
While the estimation of parameters is the same for these two sampling schemes, kind and number of models that can be considered, differ. Consider the following example (von Eye & Schuster, 1998): Researchers design a study on the effects of drinking in which they include two independent classification variables, Drinking (D; yes - no) and Gender (G; female - male), and one dependent variable, Liver Cancer (C; shows signs of liver cancer - does not show signs of liver cancer). Together, these three variables form a 2 x 2 x 2 cross-classification.