Person-centered data analysis with covariates and the R-package confreq
Author(s) / Creator(s)
Stemmler, Mark
Heine, Jörg-Henrik
Wallner, Susanne
Abstract / Description
Configural Frequency Analysis (CFA) is a useful statistical method for the analysis of multiway contingency tables and an appropriate tool for person-oriented or person-centered methods. In complex contingency tables, patterns or configurations are analyzed by comparing observed cell frequencies with expected frequencies. Significant differences between observed and expected frequencies lead to the emergence of Types and Antitypes. Types are patterns or configurations which are significantly more often observed than the expected frequencies; Antitypes represent configurations which are observed less frequently than expected. The R-package confreq is an easy-to-use software for conducting CFAs; another useful shareware to run CFAs was developed by Alexander von Eye. Here, CFA is presented based on the log-linear modeling approach. CFA may be used together with interval level variables which can be added as covariates into the design matrix. In this article, a real data example and the use of confreq are presented. In sum, the use of a covariate may bring the estimated cell frequencies closer to the observed cell frequencies. In those cases, the number of Types or Antitypes may decrease. However, in rare cases, the Type-Antitype pattern can change with new emerging Types or Antitypes.
Keyword(s)
configural frequency analysis (CFA) log-linear modeling (LLM) person-oriented research CFA with covariates R-package confreqPersistent Identifier
Date of first publication
2021-06-30
Journal title
Methodology
Volume
17
Issue
2
Page numbers
149–167
Publisher
PsychOpen GOLD
Publication status
publishedVersion
Review status
peerReviewed
Is version of
Citation
Stemmler, M., Heine, J.-H., & Wallner, S. (2021). Person-centered data analysis with covariates and the R-package confreq. Methodology, 17(2), 149-167. https://doi.org/10.5964/meth.2865
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meth.v17i2.2865.pdfAdobe PDF - 306.03KBMD5: 426cf6372ab25427bb5e83c46ae8aadf
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Author(s) / Creator(s)Stemmler, Mark
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Author(s) / Creator(s)Heine, Jörg-Henrik
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Author(s) / Creator(s)Wallner, Susanne
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PsychArchives acquisition timestamp2022-04-14T11:24:50Z
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Made available on2022-04-14T11:24:50Z
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Date of first publication2021-06-30
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Abstract / DescriptionConfigural Frequency Analysis (CFA) is a useful statistical method for the analysis of multiway contingency tables and an appropriate tool for person-oriented or person-centered methods. In complex contingency tables, patterns or configurations are analyzed by comparing observed cell frequencies with expected frequencies. Significant differences between observed and expected frequencies lead to the emergence of Types and Antitypes. Types are patterns or configurations which are significantly more often observed than the expected frequencies; Antitypes represent configurations which are observed less frequently than expected. The R-package confreq is an easy-to-use software for conducting CFAs; another useful shareware to run CFAs was developed by Alexander von Eye. Here, CFA is presented based on the log-linear modeling approach. CFA may be used together with interval level variables which can be added as covariates into the design matrix. In this article, a real data example and the use of confreq are presented. In sum, the use of a covariate may bring the estimated cell frequencies closer to the observed cell frequencies. In those cases, the number of Types or Antitypes may decrease. However, in rare cases, the Type-Antitype pattern can change with new emerging Types or Antitypes.en_US
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Publication statuspublishedVersion
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Review statuspeerReviewed
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CitationStemmler, M., Heine, J.-H., & Wallner, S. (2021). Person-centered data analysis with covariates and the R-package confreq. Methodology, 17(2), 149-167. https://doi.org/10.5964/meth.2865en_US
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ISSN1614-2241
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/5702
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.6306
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Language of contenteng
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PublisherPsychOpen GOLD
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Is version ofhttps://doi.org/10.5964/meth.2865
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Is related tohttps://doi.org/10.23668/psycharchives.4946
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Keyword(s)configural frequency analysis (CFA)en_US
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Keyword(s)log-linear modeling (LLM)en_US
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Keyword(s)person-oriented researchen_US
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Keyword(s)CFA with covariatesen_US
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Keyword(s)R-package confreqen_US
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Dewey Decimal Classification number(s)150
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TitlePerson-centered data analysis with covariates and the R-package confreqen_US
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DRO typearticle
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Issue2
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Journal titleMethodology
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Page numbers149–167
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Volume17
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Visible tag(s)Version of Recorden_US