Evaluating evidence for a global mindset factor across multiple ability domains |
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| Affiliation: | 1. Cooperative Extension, 55 College Road, Pettee Hall G05C, Durham, NH 03824, USA;2. Department of Psychology, Michigan State University, 316 Physics Road, Room 252C, East Lansing, MI 48824, USA;3. Undergraduate Studies in Education, California State University, Sacramento, Eureka Hall 401, Sacramento, CA 95819, USA;4. Dept of Human Ecology, University of California, One Shields Ave., Davis, CA 95616, USA;1. Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA;2. Department of Psychology, University of Michigan, Ann Arbor, MI, USA;3. Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA;1. University of Koblenz-Landau, Fortstr. 7, 76829 Landau, Germany;2. Ulm University, Albert-Einstein-Allee 47, 89081 Ulm, Germany;3. University of Copenhagen, Øster Farimagsgade 2A, 1353 Copenhagen, Denmark;1. The John Paul II Catholic University of Lublin, Institute of Psychology, Department of General Psychology, al. Racławickie 14, 20-950 Lublin, Poland;2. Institute of Social Sciences Ivo Pilar, Marulićev trg 19/1, 10000 Zagreb, Croatia |
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| Abstract: | The current studies help to clarify the nature of growth mindsets by evaluating how strongly people hold a global belief that generalizes across multiple ability domains (e.g., math, writing). Study 1 (N = 651) showed that a bifactor model, consisting of a common global belief and beliefs specific to each domain, fit the data reasonably well. Global mindset beliefs and domain-specific mindset beliefs predicted domain-specific outcomes, whereas global mindset more strongly predicted global outcomes than domain-specific factors. Study 2 (N = 1,422) used an augmented bifactor model with newly developed global mindset items that only served as indicators of the global factor. Results showed high convergence between the new global mindset items and the global factor from a bifactor model. |
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| Keywords: | Bifactor models Factor analysis Growth mindset Measurement |
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