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Huang, Po-Hsien; Weng, Li-Jen – Multivariate Behavioral Research, 2012
A procedure for estimating the reliability of test scores in the context of ecological momentary assessment (EMA) was proposed to take into account the characteristics of EMA measures. Two commonly used test scores in EMA were considered: the aggregated score (AGGS) and the within-person centered score (WPCS). Conceptually, AGGS and WPCS represent…
Descriptors: Reliability, Scores, Correlation, Computation
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
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
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, Guangjian; Browne, Michael W. – Multivariate Behavioral Research, 2010
Dynamic factor analysis summarizes changes in scores on a battery of manifest variables over repeated measurements in terms of a time series in a substantially smaller number of latent factors. Algebraic formulae for standard errors of parameter estimates are more difficult to obtain than in the usual intersubject factor analysis because of the…
Descriptors: Statistical Inference, Error of Measurement, Factor Analysis, Simulation
Molenaar, Peter C. M.; Nesselroade, John R. – Multivariate Behavioral Research, 2009
It seems that just when we are about to lay P-technique factor analysis finally to rest as obsolete because of newer, more sophisticated multivariate time-series models using latent variables--dynamic factor models--it rears its head to inform us that an obituary may be premature. We present the results of some simulations demonstrating that even…
Descriptors: Factor Analysis, Multivariate Analysis, Simulation, Affective Behavior

Sjoberg, Lennart – Multivariate Behavioral Research, 1975
An analysis of preferences with respect to silhouette drawings of nude females is presented. Systematic intransitivities were discovered. The dispersions of differences (comparatal dispersons) were shown to reflect the multidimensional structure of the stimuli, a finding expected on the basis of prior work. (Author)
Descriptors: Correlation, Dimensional Preference, Multidimensional Scaling, Psychological Patterns
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

Lund, Thorleif – Multivariate Behavioral Research, 1975
An alternative content method, allowing bipolar representation and based on separate scaling of quality and intensity, is presented. For comparative purposes the method was used together with a distance method and an ordinary content method, with nine words denoting emotions as stimuli. (Author)
Descriptors: Comparative Analysis, Factor Analysis, Multidimensional Scaling, Psychological Patterns

Gaudry, Eric; And Others – Multivariate Behavioral Research, 1975
Results support the state-trait distinction in anxiety research. For two different samples, three separate A-State factors emerged, each associated with different occasions of measurement that were associated with differing amounts of situational stress. (Author/BJG)
Descriptors: Anxiety, Factor Analysis, Higher Education, Individual Characteristics

Fisher, Dennis G.; And Others – Multivariate Behavioral Research, 1989
To clarify methodological differences, five studies with cluster analysis solutions of 183 Minnesota Multiphasic Personality Inventory (MMPI) profiles of male heroin addicts were critically reviewed. The methodologies used were replicated. A solution using complete linkage with Pearson correlation and recommendations for future cluster analysis…
Descriptors: Adults, Cluster Analysis, Drug Abuse, Males

Helmes, Edward – Multivariate Behavioral Research, 1989
Objective criteria for evaluating the Eysenck Personality Inventory's internal structure are discussed. An approach based on targeted rotations and the test's scoring key is proposed as a means of providing common criteria. Data from earlier structure and test results for 195 undergraduates support the utility of 3 criteria developed. (SLD)
Descriptors: Comparative Analysis, Evaluation Criteria, Evaluation Methods, Factor Structure