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Multivariate Behavioral Research
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October 12, 2022
Accommodating a Latent XM Interaction in Statistical Mediation Analysis
Oscar Gonzalez, Matthew J Valente
SAS Global Forum
|
September 15, 2018
SAS® Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design
Matthew J Valente, David P MacKinnon
SAS Global Forum
|
September 18, 2018
SAS
Matthew J Valente, David P MacKinnon
Structural Equation Modeling : a Multidisciplinary Journal
|
August 29, 2017
Comparing models of change to estimate the mediated effect in the pretest-posttest control group design
Matthew J Valente, David P MacKinnon
Annals of Nutrition & Metabolism
|
November 22, 2014
Mediation from multilevel to structural equation modeling
David P MacKinnon, Matthew J Valente
BMC Medical Research Methodology
|
January 23, 2026
Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design
Jinyong Pang, Henian Chen, Matthew J Valente
Seminars in Thoracic and Cardiovascular Surgery
|
November 28, 2021
Commentary: Explaining Intervention and Exposure Effects: An Introduction to Mediation Analysis
Judith J M Rijnhart, Matthew J Valente
Prevention Science : the Official Journal of the Society for Prevention Research
|
March 4, 2025
Understanding Who Benefits the Most from Interventions: Implications for Baseline Target Moderated Mediation Analysis with Multiple Moderators
Matthew J Valente, Jinyong Pang, Biwei Cao
Frontiers in Psychology
|
September 23, 2021
Clarifying the Implicit Assumptions of Two-Wave Mediation Models <i>via</i> the Latent Change Score Specification: An Evaluation of Model Fit Indices
Matthew J Valente, A R Georgeson, Oscar Gonzalez
Structural Equation Modeling : a Multidisciplinary Journal
|
April 12, 2023
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model
A R Georgeson, Matthew J Valente, Oscar Gonzalez
Page
of 6
Search research articles
Search
Showing results (1-10 of 54) with videos related to
Sort By:
Page
of 6
Multivariate Behavioral Research
|
October 12, 2022
Accommodating a Latent XM Interaction in Statistical Mediation Analysis
Oscar Gonzalez, Matthew J Valente
SAS Global Forum
|
September 15, 2018
SAS® Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design
Matthew J Valente, David P MacKinnon
SAS Global Forum
|
September 18, 2018
SAS
Matthew J Valente, David P MacKinnon
Structural Equation Modeling : a Multidisciplinary Journal
|
August 29, 2017
Comparing models of change to estimate the mediated effect in the pretest-posttest control group design
Matthew J Valente, David P MacKinnon
Annals of Nutrition & Metabolism
|
November 22, 2014
Mediation from multilevel to structural equation modeling
David P MacKinnon, Matthew J Valente
BMC Medical Research Methodology
|
January 23, 2026
Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design
Jinyong Pang, Henian Chen, Matthew J Valente
Seminars in Thoracic and Cardiovascular Surgery
|
November 28, 2021
Commentary: Explaining Intervention and Exposure Effects: An Introduction to Mediation Analysis
Judith J M Rijnhart, Matthew J Valente
Prevention Science : the Official Journal of the Society for Prevention Research
|
March 4, 2025
Understanding Who Benefits the Most from Interventions: Implications for Baseline Target Moderated Mediation Analysis with Multiple Moderators
Matthew J Valente, Jinyong Pang, Biwei Cao
Frontiers in Psychology
|
September 23, 2021
Clarifying the Implicit Assumptions of Two-Wave Mediation Models <i>via</i> the Latent Change Score Specification: An Evaluation of Model Fit Indices
Matthew J Valente, A R Georgeson, Oscar Gonzalez
Structural Equation Modeling : a Multidisciplinary Journal
|
April 12, 2023
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model
A R Georgeson, Matthew J Valente, Oscar Gonzalez
Page
of 6