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von Oertzen, Timo; Schmiedek, Florian; Voelkle, Manuel C. – Journal of Intelligence, 2020
Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the…
Descriptors: Cognitive Ability, Individual Differences, Statistical Analysis, Factor Analysis
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Coulombe, Patrick; Selig, James P.; Delaney, Harold D. – International Journal of Behavioral Development, 2016
Researchers often collect longitudinal data to model change over time in a phenomenon of interest. Inevitably, there will be some variation across individuals in specific time intervals between assessments. In this simulation study of growth curve modeling, we investigate how ignoring individual differences in time points when modeling change over…
Descriptors: Individual Differences, Longitudinal Studies, Simulation, Change
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Esmer, Elif; Güven, Gülçin; Aydin, Oktay; Özden, Bülent; Efe, Kadriye; Sener, Nurcan – Educational Research and Reviews, 2016
Individual differences have an influence on a wide range of education fields. These differences can range from organizing teaching environments to the techniques and strategies that the teacher uses. This study focused on individual differences of pre-service teachers and aimed to investigate the perceptions of Education Faculty students on…
Descriptors: Teaching Methods, Instructional Materials, Individual Differences, Preservice Teachers
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Hertzog, Christopher; von Oertzen, Timo; Ghisletta, Paolo; Lindenberger, Ulman – Structural Equation Modeling: A Multidisciplinary Journal, 2008
We evaluated the statistical power of single-indicator latent growth curve models to detect individual differences in change (variances of latent slopes) as a function of sample size, number of longitudinal measurement occasions, and growth curve reliability. We recommend the 2 degree-of-freedom generalized test assessing loss of fit when both…
Descriptors: Sample Size, Error of Measurement, Individual Differences, Statistical Analysis
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Holton, Elwood F., III; Chen, Hsin-Chih; Naquin, Sharon S. – Human Resource Development Quarterly, 2003
No previous research in the United States has compared and contrasted learning transfer systems across organizations and training types, primarily because no standard instruments were used in previous research. This study, based on a subset of responses in the Learning Transfer System Inventory response database, is the first to conduct such a…
Descriptors: Transfer of Training, Comparative Analysis, Statistical Analysis, Individual Differences
Kulick, Edward; Dorans, Neil J. – 1984
A new approach to assessing unexpected differential item performance (item bias or item fairness) is introduced and applied to the item responses of different subpopulations of Scholastic Aptitude Test (SAT) takers. The essential features of the standardization approach are described. The primary goal of the standardization approach is to control…
Descriptors: College Entrance Examinations, Individual Differences, Mathematical Models, Performance Factors