A multilevel multidimensional finite mixture item response model to cluster respondents and countries: the forms of self-criticising/attacking and self-reassuring scale
Journal article
Authors | Kanovský, Martin, Halamová, 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 and Kupeli, Nuriye |
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Abstract | 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. |
Keywords | Applied Psychology; latent class model; multilevel multidimensional item response model; self criticism |
Year | 2020 |
Journal | European Journal of Psychological Assessment |
Publisher | Hogrefe Publishing Group |
ISSN | 1015-5759 |
2151-2426 | |
Digital Object Identifier (DOI) | https://doi.org/10.1027/1015-5759/a000631 |
Web address (URL) | http://hdl.handle.net/10545/625589 |
http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
hdl:10545/625589 | |
Publication dates | 30 Dec 2020 |
Publication process dates | |
Deposited | 05 Feb 2021, 12:26 |
Accepted | 07 Nov 2020 |
Rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
Contributors | Institute of social anthropology, Comenius University in Bratislava, Institute 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 and Marie Curie Palliative Care Research Department, university college London |
File | File Access Level Open |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/95268/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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