A5016361797- Identity, Memory, and Therapy
- Statistical Methods and Bayesian Inference
- Career Development and Diversity
- Behavioral and Psychological Studies
- Communication in Education and Healthcare
- Bullying, Victimization, and Aggression
- Psychological and Temporal Perspectives Research
- Educational Practices and Challenges
- Early Childhood Education and Development
- Education and Critical Thinking Development
- Education, Leadership, and Health Research
- Intergenerational Family Dynamics and Caregiving
- Meta-analysis and systematic reviews
- Health Systems, Economic Evaluations, Quality of Life
- Optimal Experimental Design Methods
- Diverse Approaches in Healthcare and Education Studies
- Korean Urban and Social Studies
- Diverse Educational Innovations Studies
- Insurance, Mortality, Demography, Risk Management
- Economic and Environmental Valuation
- Child and Adolescent Psychosocial and Emotional Development
- Technology and Data Analysis
- Educational Methods and Teacher Development
Far Eastern University
2023
The University of Texas at Austin
2010-2016
This study investigates three methods to handle dependency among effect size estimates in meta-analysis arising from studies reporting multiple outcome measures taken on the same sample. The three-level approach is compared with method of robust variance estimation, and averaging effects within studies. A simulation performed, fixed random are each other. Both estimation result unbiased effects, corresponding standard errors variances. Averaging sizes results overestimated when truly...
Challenging behavior at school remains a concern for teachers and administrators. Thus classroom management practices to prevent challenging are sorely needed. The Good Behavior Game (GBG) has been found be useful positively change student behavior. However, previous reviews of the GBG have not quantified effects, focused solely on behaviors, examined study features that facilitate greater outcomes. Twenty-two peer-reviewed journal articles were reviewed. Study data analyzed using effect...
A multilevel logistic model for estimating a nonlinear trajectory in multiple-baseline design is introduced. The applied to data from real study demonstrate interpretation of relevant parameters. simple change-in-levels (ΔLevels) and involving quadratic function (Quadratic) the intervention phase were also estimated. In addition, simulation was conducted assess Markov chain Monte Carlo estimation compare its recovery with use ΔLevels Quadratic models. While most model's parameter values...