NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 10 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
Steele, Joel S.; Ferrer, Emilio – Multivariate Behavioral Research, 2011
This article presents our response to Oud and Folmer's "Modeling Oscillation, Approximately or Exactly?" (2011), which criticizes aspects of our article, "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011). In this response, we present a conceptual explanation of the derivative-based estimation…
Descriptors: Calculus, Responses, Simulation, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Woods, Carol M. – Multivariate Behavioral Research, 2008
Person fit is the degree to which an item response model fits for individual examinees. Reise (2000) described how two-level logistic regression can be used to detect heterogeneity in person fit, evaluate potential predictors of person fit heterogeneity, and identify potentially aberrant individuals. The method has apparently never been applied to…
Descriptors: Simulation, Test Reliability, Measures (Individuals), Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Yuan, Ke-Hai – Multivariate Behavioral Research, 2008
In the literature of mean and covariance structure analysis, noncentral chi-square distribution is commonly used to describe the behavior of the likelihood ratio (LR) statistic under alternative hypothesis. Due to the inaccessibility of the rather technical literature for the distribution of the LR statistic, it is widely believed that the…
Descriptors: Monte Carlo Methods, Graduate Students, Social Sciences, Data Analysis
Peer reviewed Peer reviewed
Bentler, Peter M.; Yuan, Ke-Hai – Multivariate Behavioral Research, 1999
Studied the small sample behavior of several test statistics based on the maximum-likelihood estimator but designed to perform better with nonnormal data. Monte Carlo results indicate the satisfactory performance of the "F" statistic recently proposed by K. Yuan and P. Bentler (1997). (SLD)
Descriptors: Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods, Sample Size
Peer reviewed Peer reviewed
Nicewander, W. Alan – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Factor Analysis, Matrices, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Yuan, Ke-Hai – Multivariate Behavioral Research, 2005
Model evaluation is one of the most important aspects of structural equation modeling (SEM). Many model fit indices have been developed. It is not an exaggeration to say that nearly every publication using the SEM methodology has reported at least one fit index. Most fit indices are defined through test statistics. Studies and interpretation of…
Descriptors: Statistics, Structural Equation Models, Goodness of Fit
Peer reviewed Peer reviewed
Direct linkDirect link
Curran, Patrick J. – Multivariate Behavioral Research, 2003
A core assumption of the standard multiple regression model is independence of residuals, the violation of which results in biased standard errors and test statistics. The structural equation model (SEM) generalizes the regression model in several key ways, but the SEM also assumes independence of residuals. The multilevel model (MLM) was…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Observation, Mathematical Models
Peer reviewed Peer reviewed
Strahan, Robert F. – Multivariate Behavioral Research, 1979
The misleading character of the correlation coefficient was investigated in two studies of intuitive statistical behavior: subjective estimation of partial correlation and subjective estimation of the minimum possible correlation between two variables given their equal correlation with a third. (Author/JKS)
Descriptors: Comprehension, Correlation, Multiple Regression Analysis, Researchers
Peer reviewed Peer reviewed
Mulaik, Stanley A. – Multivariate Behavioral Research, 1993
Issues the author has explored in his work on the philosophy of statistics are reviewed. Indeterminacy, the place of empiricism, questions of causation and causality, and explorations of language have preceded the study of objectivity. The relationship between objectivity and multivariate statistics is examined. (SLD)
Descriptors: Causal Models, Conferences, Criteria, Goodness of Fit