Sensitivity Analysis of Longitudinal Measurement Non-Invariance: A Second-Order Latent Growth Model Approach with Ordered-Categorical Indicators

Sensitivity Analysis of Longitudinal Measurement Non-Invariance: A Second-Order Latent Growth Model Approach with Ordered-Categorical Indicators

abstract: Researchers who conduct longitudinal studies are inherently interested in studying individual and population changes over time (e.g., mathematics achievement, subjective well-being). To answer such research questions, models of change (e.g., growth models) make the assumption of longitudin...

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Bibliographic Details
Other Authors: Liu, Yu (Author)
Format: Doctoral Thesis
Language:English
Published: 2016
Subjects:
Quantitative psychology
effect size
longitudinal measurement invariance
ordered-categorical data
second-order latent growth model
sensitivity analysis
Online Access:http://hdl.handle.net/2286/R.I.39426

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