Using Genetic Algorithms in a Large Nationally Representative American Sample to Abbreviate the Multidimensional Experiential Avoidance Questionnaire

Genetic algorithms (GAs) are robust machine learning approaches for abbreviating a large set of variables into a shorter subset that maximally captures the variance in the original data. We employed a GA-based method to shorten the 62-item Multidimensional Experiential Avoidance Questionnaire (MEAQ)...

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Detalles Bibliográficos
Autores principales: Sahdra, Baljinder K., Ciarrochi, Joseph, Parker, Philip, Scrucca, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764703/
https://www.ncbi.nlm.nih.gov/pubmed/26941672
http://dx.doi.org/10.3389/fpsyg.2016.00189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764703/
https://www.ncbi.nlm.nih.gov/pubmed/26941672
http://dx.doi.org/10.3389/fpsyg.2016.00189

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