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Person-centered methodsconfigural frequency analysis (CFA) and other methods for the analysis of contingency tables /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Person-centered methodsby Mark Stemmler.
Reminder of title:	configural frequency analysis (CFA) and other methods for the analysis of contingency tables /
Author:	Stemmler, Mark.
Published:	Cham :Springer International Publishing :2020.
Description:	x, 116 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Nonparametric statistics.
Online resource:	https://doi.org/10.1007/978-3-030-49421-6
ISBN:	9783030494216$q(electronic bk.)

Person-centered methodsconfigural frequency analysis (CFA) and other methods for the analysis of contingency tables /
Stemmler, Mark.

Person-centered methodsconfigural frequency analysis (CFA) and other methods for the analysis of contingency tables /[electronic resource] :by Mark Stemmler. - Second edition. - Cham :Springer International Publishing :2020. - x, 116 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

1. Introducing Person-Centered Methods -- 2. CFA Software -- 3. Significance Testing in CFA -- 4. CFA and Log-Linear Modeling -- 5. Longitudinal CFA -- 6. Other Person-Centered Methods Serving as Complimentary Tools for CFA -- 7. CFA and its Derivatives -- Glossary -- Index.

This book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. This second edition explores the relationship between two statistical methods: log-linear modeling (LLM) and configural frequency analysis (CFA) Both methods compare expected frequencies with observed frequencies. However, while LLM searches for the underlying dependencies of the involved variables in the data (model-fitting), CFA examines significant residuals in non-fitting models. New developments in the second edition include: Configural Mediation Models, CFA with covariates, moderator CFA, and CFA modeling branches in tree-based methods. The new developments enable the use of categorical together with continuous variables, which makes CFA a very powerful statistical tool. This new edition continues to utilize R-package confreq (derived from Configural Frequency Analysis), much updated since the first edition and newly adjusted to the new R base program 4.0. An electronic supplement is now available with 18 R-scripts and many datasets.

ISBN: 9783030494216$q(electronic bk.)

Standard No.: 10.1007/978-3-030-49421-6doiSubjects--Topical Terms:

182700
Nonparametric statistics.

LC Class. No.: QA278.8 / .S746 2020

Dewey Class. No.: 519.5

Person-centered methodsconfigural frequency analysis (CFA) and other methods for the analysis of contingency tables /
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520 $a This book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. This second edition explores the relationship between two statistical methods: log-linear modeling (LLM) and configural frequency analysis (CFA) Both methods compare expected frequencies with observed frequencies. However, while LLM searches for the underlying dependencies of the involved variables in the data (model-fitting), CFA examines significant residuals in non-fitting models. New developments in the second edition include: Configural Mediation Models, CFA with covariates, moderator CFA, and CFA modeling branches in tree-based methods. The new developments enable the use of categorical together with continuous variables, which makes CFA a very powerful statistical tool. This new edition continues to utilize R-package confreq (derived from Configural Frequency Analysis), much updated since the first edition and newly adjusted to the new R base program 4.0. An electronic supplement is now available with 18 R-scripts and many datasets.
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