Statistical power analysis for growth curve models using SAS

Statistical power analysis for growth curve models using SAS.

Power analysis is critical in research designs. This study discusses a simulation-based approach utilizing the likelihood ratio test to estimate the power of growth curve analysis. The power estimation is implemented through a set of SAS macros. The application of the SAS macros is demonstrated through several examples, including missing data and nonlinear growth trajectory situations. The resu...

A SAS macro for statistical power calculations in meta-analysis.

Although statistical power is often considered in the design of primary research studies, it is rarely considered in meta-analysis. Background and guidelines are provided for conducting power analysis in meta-analysis, followed by the presentation of a SAS macro that calculates power using the methods described by Hedges and Pigott (2001, 2004). Several detailed examples are given, including in...

Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis

Statistical power analysis is useful from both prospective and retrospective viewpoints. Prospectively, statistical power analysis is used in the planning of research to estimate sample size requirements. In contrast, retrospective power analysis provides an estimate of the statistical power of a hypothesis test after an investigation has been conducted. Several techniques for retrospective pow...

Growth Curve Models and Statistical Diagnostics

A SAS Macro to Investigate Statistical Power in Meta-analysis

Meta-analysis is a quantitative review method, which synthesizes the results of individual studies on the same topic. Cohen’s d was selected as the effect size index in the current study because it is widely used in the practical met-analysis and there are few simulation studies investigating this index. Statistical power is conceptually defined as the probability of detecting the real-existing...