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Selected Development Project
 
Project Title

Latent Growth Curve Analysis with Time-dependent Observations
時變相關測量的潛變量曲線增長模型分析

 
Principal Investigator Dr KWAN Lok Yin Joyce
 
Area of Research Project
Psychological Studies
 
Project Period
From 01/2015 To 12/2017
Objectives
  • To develop a better method for applied researcher to analyse growth curve model with time-dependent observations under the traditional SEM framework
  • To provide recommendations for the applied researcher about the conditions at which the proposed method works best by comparing the performance of different approaches for the analysis of growth curve model with time-dependent observations under different model conditions
  
Methods Used
  • Development of new model for latent growth curve analysis
  • Simulation studies
  • Illustration by using real data analyses
Summary of Findings
In this project, we expect the new method developed under the traditional structural equation modeling (SEM) framework will improve the existing shortcomings of SEM method in handling data with time-dependent observations and its performance will be comparable with other approaches for the analysis of growth curve model.
Impact
The new method is expected to overcome some of the limitations of the existing SEM methods in handling data with time-dependent observations and give more flexibility to applied researchers in the choice of methods for analysing longitudinal data.
Selected Output

Kwan, J. L. Y. & Chan, W. (May, 2017). An alternative latent growth curve model for the analysis of longitudinal data with time-dependent observations: A simulation study. Poster presented at the 29th Association for Psychological Science Annual Convention, Boston, U.S.A.

Kwan, J. L. Y. (July, 2016). An alternative structural equation modeling approach for the analysis of longitudinal data with time-dependent observations. Poster presented at the 31st International Congress of Psychology, Yokohama, Japan.
Biography of Principal Investigator

Dr Joyce Kwan obtained her doctoral degree from the Chinese University of Hong Kong. Prior to joining the Education University of Hong Kong, she had worked at the Chinese University of Hong Kong as a lecturer and had taught various courses in psychology, quantitative research methods, and educational testing and assessment. Her research centers on quantitative research methodology. Her current research interests focus on structural equation modeling, mediation and moderation analysis.
Funding Source

Early Career Scheme