scholarly journals How to Test Replication for Structural Equation Models

2019 ◽  
Author(s):  
Marielle Zondervan-Zwijnenburg

This paper introduces the prior predictive p-value as a manner to test replication in structural equation models. Using the replication of a piecewise latent growth model as a running example, the study explains the steps of the prior predictive p-value and illustrates them with R-code. The R-code included in the paper and the Supplementary R-script guides the reader through each analysis step. All steps to compute the prior predictive p-value are also incorporated in the Replication R-package. Finally, the study demonstrates how the replication of a more advanced structural equation model - a multilevel latent growth curve model - can be tested.

2017 ◽  
Vol 31 (4) ◽  
pp. 447-456 ◽  
Author(s):  
Seema Mutti-Packer ◽  
David C. Hodgins ◽  
Nady el-Guebaly ◽  
David M. Casey ◽  
Shawn R. Currie ◽  
...  

2018 ◽  
Vol 24 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Justin T. McDaniel ◽  
Kate H. Thomas ◽  
David L. Albright ◽  
Kari L. Fletcher ◽  
Margaret M. Shields

2021 ◽  
pp. 135910532110216
Author(s):  
Hai-Ping Liao ◽  
Xiao-Fu Pan ◽  
Xue-Qin Yin ◽  
Ya-Fei Liu ◽  
Jie-Yang Li ◽  
...  

Data from a longitudinal questionnaire investigation of three time waves were used to investigate affective and behavioral changes and their covariant relationship among Chinese general population during the COVID-19 pandemic from March to May 2020. 145 participants aging from 15 to 63 completed three waves of survey. Latent growth curve analyses found that negative affect gradually increased as the pandemic continued. A faster increase in negative affect was related to a greater decrease in adaptive behavior and faster increase in non-adaptive behavior. A higher initial level of negative affect was related to a slower increase in non-adaptive behavior.


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