Evidence map›Paper›PMID 38745780›Full record

ArticleFrontiers in psychiatry2024

Parent-child interactive behavior in a German sample of parents with and without a mental illness: model replication and adaption of the Coding Interactive Behavior system.

Julia Fahrer, Philipp Doebler, Klara Hagelweide, Pius Kern, Nora Nonnenmacher, Vanessa Seipp, Corinna Reck, Christina Schwenck, Sarah Weigelt, Anna-Lena Zietlow and 1 more

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Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Julia FahrerClinical Child- and Adolescent Psychology, Department of Psychology, University of Marburg, Marburg, Germany.
Philipp DoeblerDepartment of Statistical Methods in the Social Sciences, Technical University Dortmund, Dortmund, Germany.
Klara HagelweideDepartment of Vision, Visual Impairments & Blindness, Faculty of Rehabilitation Science, Technical University Dortmund, Dortmund, Germany.
Pius KernClinical Child- and Adolescent Psychology, Department of Psychology, University of Marburg, Marburg, Germany.
Nora NonnenmacherCenter for Psychosocial Medicine, Heidelberg University Hospital, Institute of Medical Psychology, Heidelberg, Germany.
Vanessa SeippSpecial Needs Educational & Clinical Child and Adolescent Psychology, Department of Psychology, Justus Liebig University Giessen, Gießen, Germany.
Corinna ReckDepartment of Clinical Child and Adolescent Psychology, Faculty of Psychology, Ludwig-Maximilians-University München, Munich, Germany.
Christina SchwenckSpecial Needs Educational & Clinical Child and Adolescent Psychology, Department of Psychology, Justus Liebig University Giessen, Gießen, Germany.
Sarah WeigeltDepartment of Vision, Visual Impairments & Blindness, Faculty of Rehabilitation Science, Technical University Dortmund, Dortmund, Germany.
Anna-Lena ZietlowCenter for Psychosocial Medicine, Heidelberg University Hospital, Institute of Medical Psychology, Heidelberg, Germany.
Hanna ChristiansenClinical Child- and Adolescent Psychology, Department of Psychology, University of Marburg, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies using observational measures often fail to meet statistical standards for both reliability and validity. The present study examined the psychometric properties of the Coding Interactive Behavior (CIB) System within a German sample of parent-child dyads. The sample consisted of 149 parents with and without a mental illness and their children [n experimental group (EG) = 75, n control group (CG) = 74] who participated in the larger Children of Mentally Ill Parents at Risk Evaluation (COMPARE) study. The age of the children ranged from 3 to 12 years (M = 7.99, SD = 2.5). Exploratory factor analysis supported a five-factor model of the CIB with items describing 1) parental sensitivity/reciprocity, 2) parental intrusiveness, 3) child withdrawal, 4) child involvement, and 5) parent limit setting/child compliance. Compared to international samples, the model was reduced by two independent dyadic factors. Testing for predictive validity identified seven items with predictive power to differentiate parental group membership. The CIB factors did not seem to be sufficiently sensitive to illustrate differences in interaction within a sample of parents with various mental illnesses. To apply the CIB to the described sample or similar ones in the future, additional measurement instruments may be necessary.

Indexed as

behavior observationCIBCoding Interactive Behaviorfactor analysisfactorial structureparent-child interactionparents with a mental illnesspsychometric properties

Identifiers

PMID38745780
PMCPMC11091726

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.