A multilevel multidimensional finite mixture item response model to cluster respondents and countries: the forms of self-criticising/attacking and self-reassuring scale
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A multilevel multidimensional ...
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Authors
Kanovský, MartinHalamová, Júlia
Zuroff, David C.
Troop, Nicholas A.
Gilbert, Paul

Shahar, Ben
Petrocchi, Nicola
Hermanto, Nicola
Krieger, Tobias
Kirby, James N.
Asano, Kenichi
Matos, Marcela

Yu, FuYa
Basran, Jaskaran
Kupeli, Nuriye
Affiliation
Institute of social anthropology, Comenius University in BratislavaInstitute of applied psychology, Comenius University in Bratislava
Department of psychology, McGill University, Montreal, Quebec
department of psychology and sports sciences, University of Hertfordshire
Centre for compassion research and training, University of Derby
Paul Baerwald school of social work and social welfare, Hebrew university of Jerusalem
department of economics and social sciences, John Cabot University, Rome
Clinical Psychology and Psychotherapy, University of Bern
The School of Psychology, the University of Queensland
department of psychological counselling, Mejiro University, Tokyo
cognitive and behavioural centre for research and intervention, university of Coimbra
Student counselling centre K-12 Education Administration, Ministry of Education, Taiwan
Marie Curie Palliative Care Research Department, university college London
Issue Date
2020-12-30
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The aim of this study was to test the multilevel multidimensional finite mixture item response model of the Forms of Self-Criticising/Attacking and Self-Reassuring Scale (FSCRS) to cluster respondents and countries from 13 samples (N = 7,714) and from 12 countries. The practical goal was to learn how many discrete classes there are on the level of individuals (i.e., how many cut-offs are to be used) and countries (i.e., the magnitude of similarities and dissimilarities among them). We employed the multilevel multidimensional finite mixture approach which is based on an extended class of multidimensional latent class Item Response Theory (IRT) models. Individuals and countries are partitioned into discrete latent classes with different levels of self-criticism and self-reassurance, taking into account at the same time the multidimensional structure of the construct. This approach was applied to the analysis of the relationships between observed characteristics and latent trait at different levels (individuals and countries), and across different dimensions using the three-dimensional measure of the FSCRS. Results showed that respondents’ scores were dependent on unobserved (latent class) individual and country membership, the multidimensional structure of the instrument, and justified the use of a multilevel multidimensional finite mixture item response model in the comparative psychological assessment of individuals and countries. Latent class analysis of the FSCRS showed that individual participants and countries could be divided into discrete classes. Along with the previous findings that the FSCRS is psychometrically robust we can recommend using the FSCRS for measuring self-criticism.Citation
Kanovský, M., Halamová, J., Zuroff, D. C., Troop, N. A., Gilbert, P., Shahar, B., Petrocchi, N., Hermanto, N., Krieger, T., Kirby, J. N., Asano, K., Matos, M., Yu, F., Basran, J., & Kupeli, N. (2020). 'A multilevel multidimensional finite mixture item response model to cluster respondents and countries: The Forms of Self-Criticising/Attacking and Self-Reassuring Scale'. European Journal of Psychological Assessment, pp. 1-17.Publisher
Hogrefe Publishing GroupJournal
European Journal of Psychological AssessmentDOI
10.1027/1015-5759/a000631Additional Links
https://psycnet.apa.org/record/2021-00964-001Type
ArticleLanguage
enISSN
1015-5759EISSN
2151-2426ae974a485f413a2113503eed53cd6c53
10.1027/1015-5759/a000631
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