Meta-analysis is the quantitative, scientific synthesis of research results. Fixed-effect and random-effect models are two popular statistical models for meta-analysis. The selection of the appropriate model is crucial. In this paper, we introduce some noval views of models and explain key assumptions, hypothesis, and interpretation of each model. We conclude with a discussion of factors to consider in model selection, and provide a recommendation on selection of appropriate statistical models for traditional meta-analysis.