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      GIMME’s Ability to Recover Group-Level Path Coefficients and Individual-Level Path Coefficients

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      * , a , , a
      Methodology
      PsychOpen
      GIMME, ideographic approach, nomothetic approach, path models, unified structural equation models

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          Abstract

          The growing availability of intensive longitudinal data has increased psychological researchers' interest in ideographic-statistical methods that, for example, reveal the contemporaneous or lagged associations between different variables for a specific individual. However, when researchers assess several individuals, the results of such models are difficult to generalize across individuals. Researchers recently suggested an algorithm called GIMME, which allows for the identification of coefficients that exist across all individuals (group-level coefficients) or are specific to one or a subgroup of individuals (individual-level coefficients). In three simulation studies we investigated GIMME's performance in recovering group-level and individual-level coefficients. For the former, we found that GIMME performed well when the magnitude of the parameters was moderate to high and when the number of measurements was sufficiently large. However, GIMME had problems detecting individual-level coefficients or coefficients that occurred for a subset of individuals from the whole sample.

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          Most cited references30

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.

            A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category thresholds. Results revealed that factor loadings and robust standard errors were generally most accurately estimated using cat-LS, especially with fewer than 5 categories; however, factor correlations and model fit were assessed equally well with ML. Cat-LS was found to be more sensitive to sample size and to violations of the assumption of normality of the underlying continuous variables. Normal theory ML was found to be more sensitive to asymmetric category thresholds and was especially biased when estimating large factor loadings. Accordingly, we recommend cat-LS for data sets containing variables with fewer than 5 categories and ML when there are 5 or more categories, sample size is small, and category thresholds are approximately symmetric. With 6-7 categories, results were similar across methods for many conditions; in these cases, either method is acceptable.
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              A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever

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                Author and article information

                Journal
                METH
                Methodology
                Methodology
                Methodology
                PsychOpen
                1614-1881
                1614-2241
                31 March 2021
                2021
                : 17
                : 1
                : 58-91
                Affiliations
                [a ]Faculty of Psychology & Sports Science, University of Münster , Münster, , Germany
                Author notes
                [* ]University of Münster, Institut für Psychologie, Fliednerstr. 21, 48149 Münster, Germany. steffen.nestler@ 123456uni-muenster.de
                Article
                meth.2863
                10.5964/meth.2863
                4953b131-ecef-4de7-8aa2-c329f39dafa4

                This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 February 2020
                : 08 March 2021
                Product
                Self URI (journal-page): https://journals.psychopen.eu/
                Categories
                Original Article
                Data
                Materials

                Psychology
                GIMME,unified structural equation models,path models,nomothetic approach,ideographic approach

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