NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 17 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Grimm, Kevin; Zhang, Zhiyong; Hamagami, Fumiaki; Mazzocco, Michele – Multivariate Behavioral Research, 2013
We propose the use of the latent change and latent acceleration frameworks for modeling nonlinear growth in structural equation models. Moving to these frameworks allows for the direct identification of "rates of change" and "acceleration" in latent growth curves--information available indirectly through traditional growth…
Descriptors: Structural Equation Models, Change, Individual Differences, Mathematics Skills
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Zheng, Yao; Wiebe, Richard P.; Cleveland, H. Harrington; Molenaar, Peter C. M.; Harris, Kitty S. – Multivariate Behavioral Research, 2013
Psychological constructs, such as negative affect and substance use cravings that closely predict relapse, show substantial intraindividual day-to-day variability. This intraindividual variability of relevant psychological states combined with the "one day at a time" nature of sustained abstinence warrant a day-to-day investigation of substance…
Descriptors: Substance Abuse, Smoking, Psychological Patterns, Young Adults
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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)
Peer reviewed Peer reviewed
Direct linkDirect link
Hoffman, Lesa – Multivariate Behavioral Research, 2007
Heterogeneity of variance may be more than a statistical nuisance--it may be of direct interest as a result of individual differences. In studies of short-term fluctuation, individual differences may relate to the magnitude of within-person variation as well as to level of an outcome or its covariation with other processes. Although models for…
Descriptors: Dementia, Individual Differences, Heterogeneous Grouping, Evaluation
Peer reviewed Peer reviewed
Boker, Steven M.; Nesselroade, John R. – Multivariate Behavioral Research, 2002
Examined two methods for fitting models of intrinsic dynamics to intraindividual variability data by testing these techniques' behavior in equations through simulation studies. Among the main results is the demonstration that a local linear approximation of derivatives can accurately recover the parameters of a simulated linear oscillator, with…
Descriptors: Data Analysis, Individual Differences, Measurement Techniques, Simulation
Peer reviewed Peer reviewed
Carlstedt, Berit – Multivariate Behavioral Research, 2001
Tested differentiation of cognitive abilities at different levels of general ability in same-aged subjects through a latent variable approach in a multiple groups design. Results for 14,720 18-year-old Swedish army conscripts support the differentiation hypothesis at least in the low and middle levels of general ability (G) but not through the…
Descriptors: Cognitive Ability, Foreign Countries, Individual Differences, Military Personnel
Peer reviewed Peer reviewed
Cattell, Raymond B. – Multivariate Behavioral Research, 1982
A data analysis model is proposed for studies concerning attribution theory. The model is based on the author's previous work in the area of trait view theory. (JKS)
Descriptors: Attribution Theory, Data Analysis, Individual Differences, Mathematical Models
Peer reviewed Peer reviewed
Herrman, Douglas J.; Schooler, Carmi; Caplan, Leslie J.; Lipman, Paula Darby; Grafman, Jordan; Schoenbach, Carrie; Schwab, Karen; Johnson, Marnie L. – Multivariate Behavioral Research, 2001
Used confirmatory factor analysis to study the nature of memory distinctions underlying the performance of two samples of Vietnam veterans. One sample (n=96) had received head injuries resulting in relatively small lesions; the other (n=85) had not. A four-component model with verbal-episodic, visual-episodic, semantic, and short-term memory…
Descriptors: Head Injuries, Individual Differences, Memory, Performance Factors
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Direct linkDirect link
Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C. – Multivariate Behavioral Research, 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies
Peer reviewed Peer reviewed
Lapp, William M.; Collins, R. Lorraine – Multivariate Behavioral Research, 1993
It is argued that the relative scoring method used to score the Ways of Coping Checklist introduces an artifact that confounds multivariate analyses and ignores the individual's general reactivity to the problem. Multivariate analysis is shown to suggest an intricate structural relationship between components of coping and depression. (SLD)
Descriptors: Check Lists, Coping, Correlation, Depression (Psychology)
Peer reviewed Peer reviewed
Stoolmiller, Mike – Multivariate Behavioral Research, 1994
Latent growth curve analysis was used to study individual differences in initial status and growth rates of antisocial behavior, delinquent peer association, and unsupervised wandering during the transition to early adolescence for 206 European American boys. Findings are discussed in terms of the trait-confluence model for peer influence. (SLD)
Descriptors: Adolescents, Antisocial Behavior, Behavior Patterns, Change
Previous Page | Next Page ยป
Pages: 1  |  2