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Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables
This book takes an easy-to-understand look at 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 t...
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Lenguaje: | eng |
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Springer
2014
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-05536-7 http://cds.cern.ch/record/1707520 |
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author | Stemmler, Mark |
author_facet | Stemmler, Mark |
author_sort | Stemmler, Mark |
collection | CERN |
description | This book takes an easy-to-understand look at 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. The main focus of the book will be on Configural Frequency Analysis (CFA; Lienert and Krauth, 1975) which is a statistical method that looks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequented means that this cell or configuration is observed less often than expected. In CFA a pattern or configuration that contains more observed cases than expected is called a type; similarly, a pattern or configuration that is less observed than expected are called an antitype. CFA is similar to log-linear modeling. In log-linear modeling the goal is to come up with a fitting model including all important variables. Instead of fitting a model, CFA looks at the significant residuals of a log-linear model. The book describes the use of an R-package called confreq (derived from Configural Frequency Analysis). The use of the software package is described and demonstrated with data examples. |
id | cern-1707520 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
spelling | cern-17075202021-04-21T20:58:35Zdoi:10.1007/978-3-319-05536-7http://cds.cern.ch/record/1707520engStemmler, MarkPerson-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tablesMathematical Physics and MathematicsThis book takes an easy-to-understand look at 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. The main focus of the book will be on Configural Frequency Analysis (CFA; Lienert and Krauth, 1975) which is a statistical method that looks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequented means that this cell or configuration is observed less often than expected. In CFA a pattern or configuration that contains more observed cases than expected is called a type; similarly, a pattern or configuration that is less observed than expected are called an antitype. CFA is similar to log-linear modeling. In log-linear modeling the goal is to come up with a fitting model including all important variables. Instead of fitting a model, CFA looks at the significant residuals of a log-linear model. The book describes the use of an R-package called confreq (derived from Configural Frequency Analysis). The use of the software package is described and demonstrated with data examples.Springeroai:cds.cern.ch:17075202014 |
spellingShingle | Mathematical Physics and Mathematics Stemmler, Mark Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables |
title | Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables |
title_full | Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables |
title_fullStr | Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables |
title_full_unstemmed | Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables |
title_short | Person-centered methods: configural frequency analysis (CFA) and other methods for the analysis of contingency tables |
title_sort | person-centered methods: configural frequency analysis (cfa) and other methods for the analysis of contingency tables |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-05536-7 http://cds.cern.ch/record/1707520 |
work_keys_str_mv | AT stemmlermark personcenteredmethodsconfiguralfrequencyanalysiscfaandothermethodsfortheanalysisofcontingencytables |