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期刊名:Multivariate behavioral research

缩写:MULTIVAR BEHAV RES

ISSN:0027-3171

e-ISSN:1532-7906

IF/分区:3.5/Q1

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Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Libo Li,Yih-Ing Hser Libo Li
In this article, we directly questioned the common practice in growth mixture model (GMM) applications that exclusively rely on the fitting model without covariates for GMM class enumeration. We provided theoretical and simulation evidence ...
Kosuke Imai,Booil Jo,Elizabeth A Stuart Kosuke Imai
In this commentary, we demonstrate how the potential outcomes framework can help understand the key identification assumptions underlying causal mediation analysis. We show that this framework can lead to the development of alternative rese...
Heining Cham,Stephen G West,Yue Ma et al. Heining Cham et al.
A Monte Carlo simulation was conducted to investigate the robustness of four latent variable interaction modeling approaches (Constrained Product Indicator [CPI], Generalized Appended Product Indicator [GAPI], Unconstrained Product Indicato...
Peter M Bentler,Peter C M Molenaar Peter M Bentler
Molenaar (2003, 2011) showed that a common factor model could be transformed into an equivalent model without factors, involving only observed variables and residual errors. He called this invertible transformation the Houdini transformatio...
Johnny Lin,Peter M Bentler Johnny Lin
Goodness of fit testing in factor analysis is based on the assumption that the test statistic is asymptotically chi-square; but this property may not hold in small samples even when the factors and errors are normally distributed in the pop...
Mariya P Shiyko,Nilam Ram Mariya P Shiyko
Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide varie...
Booil Jo,Elizabeth A Stuart,David P Mackinnon et al. Booil Jo et al.
Mediation analysis uses measures of hypothesized mediating variables to test theory for how a treatment achieves effects on outcomes and to improve subsequent treatments by identifying the most efficient treatment components. Most current m...
Peter C Austin Peter C Austin
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 analyse...
Peter C Austin Peter C Austin
The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the par...