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Ferrer, Emilio; Steele, Joel S.; Hsieh, Fushing – Multivariate Behavioral Research, 2012
There are many compelling accounts of the ways in which the emotions of 1 member of a romantic relationship should influence and be influenced by the partner. However, there are relatively few methodological tools available for representing the alleged complexity of dyad level emotional experiences. In this article, we present an algorithm for…
Descriptors: Interpersonal Relationship, Psychological Patterns, Emotional Experience, Mathematics
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
Wang, Lijuan; Grimm, Kevin J. – Multivariate Behavioral Research, 2012
Reliabilities of the two most widely used intraindividual variability indicators, "ISD[superscript 2]" and "ISD", are derived analytically. Both are functions of the sizes of the first and second moments of true intraindividual variability, the size of the measurement error variance, and the number of assessments within a burst. For comparison,…
Descriptors: Reliability, Statistical Analysis, Measurement, Models
Pohl, Steffi; Steyer, Rolf – Multivariate Behavioral Research, 2010
Method effects often occur when constructs are measured by different methods. In traditional multitrait-multimethod (MTMM) models method effects are regarded as residuals, which implies a mean method effect of zero and no correlation between trait and method effects. Furthermore, in some recent MTMM models, traits are modeled to be specific to a…
Descriptors: Multitrait Multimethod Techniques, Models, Methods, Correlation
Alessandri, Guido; Caprara, Gian Vittorio; Tisak, John – Multivariate Behavioral Research, 2012
Literature documents that the judgments people hold about themselves, their life, and their future are important ingredients of their psychological functioning and well-being and are commonly related to each other. In this article, results from a longitudinal study (N = 298, 45% males) are presented. Using an integrative Latent Curve, Latent…
Descriptors: Statistical Analysis, Adolescents, Personality Traits, Individual Development
Zhang, Zhiyong; Nesselroade, John R. – Multivariate Behavioral Research, 2007
Dynamic factor models have been used to analyze continuous time series behavioral data. We extend 2 main dynamic factor model variations--the direct autoregressive factor score (DAFS) model and the white noise factor score (WNFS) model--to categorical DAFS and WNFS models in the framework of the underlying variable method and illustrate them with…
Descriptors: Bayesian Statistics, Computation, Simulation, Behavioral Science Research