NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel – Multivariate Behavioral Research, 2012
In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…
Descriptors: Bayesian Statistics, Factor Analysis, Models, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Varriale, Roberta; Vermunt, Jeroen K. – Multivariate Behavioral Research, 2012
Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure. These Multilevel Factor Models (MFMs)…
Descriptors: Factor Analysis, Models, Statistical Analysis, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Deboeck, Pascal R. – Multivariate Behavioral Research, 2010
The fitting of dynamical systems to psychological data offers the promise of addressing new and innovative questions about how people change over time. One method of fitting dynamical systems is to estimate the derivatives of a time series and then examine the relationships between derivatives using a differential equation model. One common…
Descriptors: Computation, Calculus, Statistical Analysis, Statistical Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong – Multivariate Behavioral Research, 2010
This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile…
Descriptors: Intervals, Sample Size, Factor Analysis, Least Squares Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Austin, Peter C. – Multivariate Behavioral Research, 2011
Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being…
Descriptors: Smoking, Hospitals, Program Effectiveness, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Ferrando, Pere J.; Lorenzo-Seva, Urbano – Multivariate Behavioral Research, 2007
This article describes a model for response times that is proposed as a supplement to the usual factor-analytic model for responses to graded or more continuous typical-response items. The use of the proposed model together with the factor model provides additional information about the respondent and can potentially increase the accuracy of the…
Descriptors: Reaction Time, Item Response Theory, Computation, Likert Scales