Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models
In the last two decades, e-diary studies have gained increasing interest, with a dominant focus on mood and affect. Although requested in current guidelines, psychometric properties are rarely reported, and methodological investigations of factor structure, model fit, and the reliability of mood and...
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Frontiers Media S.A.
2023-06-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1061229/full |
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author | Matthias F. Limberger Florian Schmiedek Florian Schmiedek Florian Schmiedek Philip S. Santangelo Philip S. Santangelo Markus Reichert Markus Reichert Markus Reichert Lena M. Wieland Lena M. Wieland Lena M. Wieland Oksana Berhe Andreas Meyer-Lindenberg Heike Tost Ulrich W. Ebner-Priemer Ulrich W. Ebner-Priemer |
author_facet | Matthias F. Limberger Florian Schmiedek Florian Schmiedek Florian Schmiedek Philip S. Santangelo Philip S. Santangelo Markus Reichert Markus Reichert Markus Reichert Lena M. Wieland Lena M. Wieland Lena M. Wieland Oksana Berhe Andreas Meyer-Lindenberg Heike Tost Ulrich W. Ebner-Priemer Ulrich W. Ebner-Priemer |
author_sort | Matthias F. Limberger |
collection | DOAJ |
description | In the last two decades, e-diary studies have gained increasing interest, with a dominant focus on mood and affect. Although requested in current guidelines, psychometric properties are rarely reported, and methodological investigations of factor structure, model fit, and the reliability of mood and affect assessment are limited. We used a seven-day e-diary dataset of 189 adolescent participants (12–17 years). The e-diary affect assessments revealed a considerable portion of within-person variance. The six-factor model showed the best model fit compared to the less complex models. Factor loadings also improved with the complexity of the models. Accordingly, we recommend that future e-diary studies of adolescents use the six-factor model of affect as well as reporting psychometric properties and model fit. For future e-diary scale development, we recommend using a minimum of three items per scale to enable the use of confirmatory multilevel factor analyses. |
first_indexed | 2024-03-13T03:36:36Z |
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institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-03-13T03:36:36Z |
publishDate | 2023-06-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-9920a3ec7d7a46578cdadff1c0f7ad2a2023-06-23T17:41:25ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-06-011410.3389/fpsyg.2023.10612291061229Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor modelsMatthias F. Limberger0Florian Schmiedek1Florian Schmiedek2Florian Schmiedek3Philip S. Santangelo4Philip S. Santangelo5Markus Reichert6Markus Reichert7Markus Reichert8Lena M. Wieland9Lena M. Wieland10Lena M. Wieland11Oksana Berhe12Andreas Meyer-Lindenberg13Heike Tost14Ulrich W. Ebner-Priemer15Ulrich W. Ebner-Priemer16Mental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyLeibniz Institute for Research and Information in Education (DIPF), Frankfurt, GermanyIDeA Research Center for Individual Development and Adaptive Education of Children at Risk, Frankfurt, GermanyDepartment of Educational Psychology, Goethe University Frankfurt, Frankfurt, GermanyMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyBehavioural Health Technology Interventions, Department of Behavioural and Cognitive Sciences, Faculty of Humanities, Education and Social Sciences, Université du Luxembourg, Esch-sur-Alzette, LuxembourgMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GermanyDepartment of eHealth and Sports Analytics, Faculty of Sports Science, Ruhr University Bochum, Bochum, GermanyMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyLeibniz Institute for Research and Information in Education (DIPF), Frankfurt, GermanyIDeA Research Center for Individual Development and Adaptive Education of Children at Risk, Frankfurt, GermanyDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, GermanyDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, GermanyDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, GermanyMental mHealth Lab, Institute for Sport and Sport Science, Faculty for Humanities and Social Sciences, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, GermanyIn the last two decades, e-diary studies have gained increasing interest, with a dominant focus on mood and affect. Although requested in current guidelines, psychometric properties are rarely reported, and methodological investigations of factor structure, model fit, and the reliability of mood and affect assessment are limited. We used a seven-day e-diary dataset of 189 adolescent participants (12–17 years). The e-diary affect assessments revealed a considerable portion of within-person variance. The six-factor model showed the best model fit compared to the less complex models. Factor loadings also improved with the complexity of the models. Accordingly, we recommend that future e-diary studies of adolescents use the six-factor model of affect as well as reporting psychometric properties and model fit. For future e-diary scale development, we recommend using a minimum of three items per scale to enable the use of confirmatory multilevel factor analyses.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1061229/fullpsychometric propertiesaffectadolescentsreliabilityambulatory assessment |
spellingShingle | Matthias F. Limberger Florian Schmiedek Florian Schmiedek Florian Schmiedek Philip S. Santangelo Philip S. Santangelo Markus Reichert Markus Reichert Markus Reichert Lena M. Wieland Lena M. Wieland Lena M. Wieland Oksana Berhe Andreas Meyer-Lindenberg Heike Tost Ulrich W. Ebner-Priemer Ulrich W. Ebner-Priemer Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models Frontiers in Psychology psychometric properties affect adolescents reliability ambulatory assessment |
title | Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models |
title_full | Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models |
title_fullStr | Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models |
title_full_unstemmed | Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models |
title_short | Assessing affect in adolescents with e-diaries: multilevel confirmatory factor analyses of different factor models |
title_sort | assessing affect in adolescents with e diaries multilevel confirmatory factor analyses of different factor models |
topic | psychometric properties affect adolescents reliability ambulatory assessment |
url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1061229/full |
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