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Sterba, Sonya K.; Baldasaro, Ruth E.; Bauer, Daniel J. – Multivariate Behavioral Research, 2012
Psychologists have long been interested in characterizing individual differences in change over time. It is often plausible to assume that the distribution of these individual differences is continuous in nature, yet theory is seldom so specific as to designate its parametric form (e.g., normal). Semiparametric groups-based trajectory models…
Descriptors: Individual Differences, Change, Statistical Analysis, Models
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Rast, Philippe; Hofer, Scott M.; Sparks, Catharine – Multivariate Behavioral Research, 2012
A mixed effects location scale model was used to model and explain individual differences in within-person variability of negative and positive affect across 7 days (N=178) within a measurement burst design. The data come from undergraduate university students and are pooled from a study that was repeated at two consecutive years. Individual…
Descriptors: Individual Differences, Undergraduate Students, Psychological Patterns, Stress Variables
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Culpepper, Steven Andrew – Multivariate Behavioral Research, 2010
Statistical prediction remains an important tool for decisions in a variety of disciplines. An equally important issue is identifying factors that contribute to more or less accurate predictions. The time series literature includes well developed methods for studying predictability and volatility over time. This article develops…
Descriptors: Prediction, Individual Differences, Regression (Statistics), Computation
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Biesanz, Jeremy C. – Multivariate Behavioral Research, 2010
The social accuracy model of interpersonal perception (SAM) is a componential model that estimates perceiver and target effects of different components of accuracy across traits simultaneously. For instance, Jane may be generally accurate in her perceptions of others and thus high in "perceptive accuracy"--the extent to which a particular…
Descriptors: Social Cognition, Interpersonal Relationship, Interpersonal Competence, Individual Differences
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Chow, Sy-Miin; Hamaker, Ellen L.; Allaire, Jason C. – Multivariate Behavioral Research, 2009
Outliers are typically regarded as data anomalies that should be discarded. However, dynamic or "innovative" outliers can be appropriately utilized to capture unusual but substantively meaningful shifts in a system's dynamics. We extend De Jong and Penzer's 1998 approach for representing outliers in single-subject state-space models to a…
Descriptors: Older Adults, Evaluation, Statistical Analysis, Equations (Mathematics)
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Krull, Jennifer L.; Mackinnon, David P. – Multivariate Behavioral Research, 2001
Combines procedures for single-level mediational analysis with multilevel modeling techniques to test mediational effects in clustered data appropriately. Compared, through simulation, the performance of these multilevel mediational models with that of single-level models in clustered data with various real-world characteristics. (SLD)
Descriptors: Cluster Analysis, Groups, Individual Differences, Models
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Murakami, Takashi; Kroonenberg, Pieter M. – Multivariate Behavioral Research, 2003
Demonstrated how individual differences in semantic differential data can be modeled and assessed using three-mode models by studying the characterization of Chopin's "Preludes" by 38 Japanese college students. (SLD)
Descriptors: College Students, Foreign Countries, Higher Education, Individual Differences
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Weinberg, Sharon Lawner; And Others – Multivariate Behavioral Research, 1993
Recently developed multidimensional-scaling methodology was used to explore the underlying structure of moral reasoning responses to 12 moral dilemmas by 111 graduate students in law and social work and to relate that structure to individual differences. Results indicate that moral reasoning must be viewed from multidimensional and interactional…
Descriptors: Decision Making, Ethics, Females, Graduate Students