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Miroshnik, Kirill G.; Shcherbakova, Olga V.; Kaufman, James C. – Creativity Research Journal, 2022
Kaufman Domains of Creativity Scale (K-DOCS) is a self-report of creative behavior in five distinct domains. The present study aims to translate K-DOCS into Russian and evaluate its psychometric properties. The psychometric analysis was performed on a sample of adults recruited through Yandex Toloka (N = 1011; M[subscript age] = 35.94,…
Descriptors: Creativity Tests, Russian, Psychometrics, Foreign Countries
Pornchanok Ruengvirayudh – ProQuest LLC, 2018
Determining the number of dimensions underlying many variables in the data or many items in the test is a crucial process prior to performing exploratory factor analysis. Failure to do so leads to serious consequences concerning construct validity. Parallel analysis (PA) has been found to be useful to determine the number of dimensions (i.e.,…
Descriptors: Monte Carlo Methods, Tests, Data, Sample Size
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Çokluk, Ömay; Koçak, Duygu – Educational Sciences: Theory and Practice, 2016
In this study, the number of factors obtained from parallel analysis, a method used for determining the number of factors in exploratory factor analysis, was compared to that of the factors obtained from eigenvalue and scree plot--two traditional methods for determining the number of factors--in terms of consistency. Parallel analysis is based on…
Descriptors: Factor Analysis, Comparative Analysis, Elementary School Teachers, Trust (Psychology)
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Vaculíková, Jitka – International Education Studies, 2016
The authors present findings on the third round of the Czech validation of the Motivated Strategies for learning questionnaire (MSLQ), originally developed by Pintrich et al. (1991). The validation only covered an area designed to access motivation in self-regulated learning. Data was collected from a sample of university students in regular…
Descriptors: Foreign Countries, Learning Strategies, Questionnaires, Construct Validity
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Myers, Nicholas D.; Ahn, Soyeon; Jin, Ying – Research Quarterly for Exercise and Sport, 2011
Monte Carlo methods can be used in data analytic situations (e.g., validity studies) to make decisions about sample size and to estimate power. The purpose of using Monte Carlo methods in a validity study is to improve the methodological approach within a study where the primary focus is on construct validity issues and not on advancing…
Descriptors: Sample Size, Monte Carlo Methods, Construct Validity, Validity
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Castro-Schilo, Laura; Widaman, Keith F.; Grimm, Kevin J. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
In 1959, Campbell and Fiske introduced the use of multitrait-multimethod (MTMM) matrices in psychology, and for the past 4 decades confirmatory factor analysis (CFA) has commonly been used to analyze MTMM data. However, researchers do not always fit CFA models when MTMM data are available; when CFA modeling is used, multiple models are available…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Structural Equation Models, Monte Carlo Methods
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Bowler, Mark C.; Woehr, David J. – Journal of Vocational Behavior, 2009
Recent Monte Carlo research has illustrated that the traditional method for assessing the construct-related validity of assessment center (AC) post-exercise dimension ratings (PEDRs), an application of confirmatory factor analysis (CFA) to a multitrait-multimethod matrix, produces inconsistent results [Lance, C. E., Woehr, D. J., & Meade, A. W.…
Descriptors: Monte Carlo Methods, Multitrait Multimethod Techniques, Construct Validity, Validity