Wei Cheng Liu
Biographic Data
| ID | 3915055 |
|---|---|
| NAME | Wei Cheng Liu |
| GIVEN NAMES | Wei Cheng |
| FAMILY NAME | Liu |
| SIGNATURE | LIU W C |
| AFFILIATIONS | Evaluation Section, Ministry of Education, Singapore |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Programme evaluation in action
Programme evaluation has developed tremendously over the past 50 years, with a proliferation of evaluation research, an increase in the institutionalization of evaluation, and growth in the professionalization of evaluation. However, existing research and developments are still largely in North America, Europe, Australia, and New Zealand, with less from Asia. As theory building of policy and programme evaluation practices necessarily occur within…
Model Misspecification and Assumption Violations With the Linear Mixed Model
This meta-analysis attempts to synthesize the Monte Carlo (MC) literature for the linear mixed model under a longitudinal framework. The meta-analysis aims to inform researchers about conditions that are important to consider when evaluating model assumptions and adequacy. In addition, the meta-analysis may be helpful to those wishing to design future MC simulations in identifying simulation conditions. The current meta-analysis will use the empi…
Model Misspecification and Assumption Violations With the Linear Mixed Model
This meta-analysis attempts to synthesize the Monte Carlo (MC) literature for the linear mixed model under a longitudinal framework. The meta-analysis aims to inform researchers about conditions that are important to consider when evaluating model assumptions and adequacy. In addition, the meta-analysis may be helpful to those wishing to design future MC simulations in identifying simulation conditions. The current meta-analysis will use the empi…
Model Misspecification and Assumption Violations With the Linear Mixed Model
This meta-analysis attempts to synthesize the Monte Carlo (MC) literature for the linear mixed model under a longitudinal framework. The meta-analysis aims to inform researchers about conditions that are important to consider when evaluating model assumptions and adequacy. In addition, the meta-analysis may be helpful to those wishing to design future MC simulations in identifying simulation conditions. The current meta-analysis will use the empi…
Programme evaluation in action
Programme evaluation has developed tremendously over the past 50 years, with a proliferation of evaluation research, an increase in the institutionalization of evaluation, and growth in the professionalization of evaluation. However, existing research and developments are still largely in North America, Europe, Australia, and New Zealand, with less from Asia. As theory building of policy and programme evaluation practices necessarily occur within…
Computer Science (1 work) · Econometrics (1 work) · Educational Assessment and Improvement (1 work) · Empirical research (1 work) · Evaluation and Performance Assessment (1 work) · Fixed effects model (1 work) · Forecasting Techniques and Applications (1 work) · Generalized linear mixed model (1 work) · Geography (1 work) · Linear model (1 work)