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Mark H C Lai

Showing results (1-10 of 57) with videos related to

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Multivariate Behavioral Research|April 14, 2020
Bootstrap Confidence Intervals for Multilevel Standardized Effect SizeMark H C Lai
Multivariate Behavioral Research|July 8, 2021
Adjusting for Measurement Noninvariance with Alignment in Growth ModelingMark H C Lai
Psychological Methods|July 17, 2020
Composite reliability of multilevel data: It's about observed scores and construct meaningsMark H C Lai
Assessment|December 10, 2024
Exploring the Impact of Deleting (or Retaining) a Biased Item: A Procedure Based on Classification AccuracyMeltem Ozcan, Mark H C Lai
Frontiers in Psychology|August 15, 2017
Evaluating Fit Indices for Multivariate <i>t</i>-Based Structural Equation Modeling with Data ContaminationMark H C Lai, Jiaqi Zhang
Behavior Research Methods|February 6, 2024
Evaluating two small-sample corrections for fixed-effects standard errors and inferences in multilevel models with heteroscedastic, unbalanced, clustered dataYichi Zhang, Mark H C Lai
Multivariate Behavioral Research|March 27, 2026
Multi-Group Multidimensional Classification Accuracy Analysis (MMCAA): A General Framework for Evaluating the Practical Impact of Partial InvarianceMeltem Ozcan, Mark H C Lai
Psychological Methods|April 16, 2026
A two-stage approach to account for measurement error when using empirical Bayes estimates of random slopesMark H C Lai, Siwei Liu
Psychological Methods|December 9, 2021
Two-stage path analysis with definition variables: An alternative framework to account for measurement errorMark H C Lai, Yu-Yu Hsiao
Frontiers in Psychology|June 6, 2018
The Impact of Partial Measurement Invariance on Testing Moderation for Single and Multi-Level DataYu-Yu Hsiao, Mark H C Lai
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Multivariate Behavioral Research|April 14, 2020
Bootstrap Confidence Intervals for Multilevel Standardized Effect SizeMark H C Lai
Multivariate Behavioral Research|July 8, 2021
Adjusting for Measurement Noninvariance with Alignment in Growth ModelingMark H C Lai
Psychological Methods|July 17, 2020
Composite reliability of multilevel data: It's about observed scores and construct meaningsMark H C Lai
Assessment|December 10, 2024
Exploring the Impact of Deleting (or Retaining) a Biased Item: A Procedure Based on Classification AccuracyMeltem Ozcan, Mark H C Lai
Frontiers in Psychology|August 15, 2017
Evaluating Fit Indices for Multivariate <i>t</i>-Based Structural Equation Modeling with Data ContaminationMark H C Lai, Jiaqi Zhang
Behavior Research Methods|February 6, 2024
Evaluating two small-sample corrections for fixed-effects standard errors and inferences in multilevel models with heteroscedastic, unbalanced, clustered dataYichi Zhang, Mark H C Lai
Multivariate Behavioral Research|March 27, 2026
Multi-Group Multidimensional Classification Accuracy Analysis (MMCAA): A General Framework for Evaluating the Practical Impact of Partial InvarianceMeltem Ozcan, Mark H C Lai
Psychological Methods|April 16, 2026
A two-stage approach to account for measurement error when using empirical Bayes estimates of random slopesMark H C Lai, Siwei Liu
Psychological Methods|December 9, 2021
Two-stage path analysis with definition variables: An alternative framework to account for measurement errorMark H C Lai, Yu-Yu Hsiao
Frontiers in Psychology|June 6, 2018
The Impact of Partial Measurement Invariance on Testing Moderation for Single and Multi-Level DataYu-Yu Hsiao, Mark H C Lai
Pageof 6