Examining Trait × Method Interactions Using Mixture Distribution Multitrait–Multimethod Models Article Swipe
Kaylee Litson
,
Christian Geiser
,
G. Leonard Burns
,
Mateu Servera
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1080/10705511.2016.1238307
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1080/10705511.2016.1238307
Multitrait-multimethod (MTMM) analyses are used in psychology to assess convergent and discriminant validity and to study method effects. Most current MTMM approaches assume that measures have equal convergent and discriminant validity across the entire range of trait values and thus do not account for potential trait × method interactions. A novel approach is presented that allows analyzing trait × method interactions using factor mixture modeling. The new MTMM mixture model allows identifying latent classes of individuals who differ with respect to convergent and discriminant validity. The new approach was applied to mother’s and father’s ratings of children’s attention deficit hyperactivity disorder (ADHD) symptoms (N = 618). Results revealed four latent classes: one with no symptom levels, two with low symptom levels, and one with moderate symptom levels. Three classes showed evidence for convergent and discriminant validity, whereas a low symptom class lacked convergent validity for ratings of inattention.Keywords: mixture distribution, factor mixture model, convergent and discriminant validity, multitrait-multimethod analysis
Related Topics
Concepts
Discriminant validity
Convergent validity
Trait
Psychology
Confirmatory factor analysis
Linear discriminant analysis
Discriminant
Statistics
Latent variable
Structural equation modeling
Psychometrics
Developmental psychology
Mathematics
Artificial intelligence
Computer science
Internal consistency
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/10705511.2016.1238307
- OA Status
- green
- Cited By
- 10
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2534878919
All OpenAlex metadata
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https://openalex.org/W2534878919Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/10705511.2016.1238307Digital Object Identifier
- Title
-
Examining Trait × Method Interactions Using Mixture Distribution Multitrait–Multimethod ModelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2016Year of publication
- Publication date
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2016-10-17Full publication date if available
- Authors
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Kaylee Litson, Christian Geiser, G. Leonard Burns, Mateu ServeraList of authors in order
- Landing page
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https://doi.org/10.1080/10705511.2016.1238307Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1080/10705511.2016.1238307Direct OA link when available
- Concepts
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Discriminant validity, Convergent validity, Trait, Psychology, Confirmatory factor analysis, Linear discriminant analysis, Discriminant, Statistics, Latent variable, Structural equation modeling, Psychometrics, Developmental psychology, Mathematics, Artificial intelligence, Computer science, Internal consistency, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2, 2022: 1, 2021: 1, 2020: 1, 2019: 1Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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