| 书目名称 | Person-Centered Methods | | 副标题 | Configural Frequency | | 编辑 | Mark Stemmler | | 视频video | | | 概述 | Features an electronic supplement with 18 R-scripts and many datasets, so that readers can familiarize themselvs with R package confreq.Teaches statistical methods in an approachable format for schola | | 丛书名称 | SpringerBriefs in Statistics | | 图书封面 |  | | 描述 | .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 .Conf.igural .Freq.uency Analysis), much updated since the first edi | | 出版日期 | Book 2020Latest edition | | 关键词 | Analysis of multivariate cross-classifications; Categorical data analysis; Contingency tables; Data ana | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-030-49421-6 | | isbn_softcover | 978-3-030-49420-9 | | isbn_ebook | 978-3-030-49421-6Series ISSN 2191-544X Series E-ISSN 2191-5458 | | issn_series | 2191-544X | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 19:43:18
