The importance of statistical power is under recognized both in single study research and meta-analysis. The power of a study is the probability that it will lead to a statistically significant result. A simple method of establishing the adequacy of the power of meta-analysis is suggested and examples from 2 meta-analytic studies that may have produced inaccurate results are provided. Suggestions are made for changes in the protocol of meta-analytic studies that highlight the importance of power analysis
4-Meta-analysis has become an important supplement to traditional methods of research reviewing, alt...
Meta-research has spurred two opposing perspectives on science: one treats individual studies and st...
The long-term impact of studies of statistical power is investigated using J. Cohen's (1962) pi...
The importance of statistical power is under recognized both in single study research and meta-analy...
Aims. This paper highlights the lack of consideration that is given to power in the health and socia...
Calculations of the power of statistical tests are important in planning research studies (including...
One of the reasons for the popularity of meta-analysis is the notion that these analyses will posses...
Although statistical power is often considered in the design of primary research studies, it is rare...
In this article, the authors outline methods for using fixed and random effects power analysis in th...
The power was calculated as 0.9963 based on the anticipated effect size of SMD = 0.8, the 10 identif...
Despite the funding agencies growing demands towards power analyses, we believe researchers are stil...
One of the most frequently cited reasons for conducting a meta-analysis is the increase in statistic...
Rex Stanford (2003) recently noted "the wisdom of performing a power analysis prior to attempti...
The need for comprehensive and systematic research syntheses has been increasing as the number of pr...
A meta-analysis combines and compares quantitative results of a set of studies in which more or less...
4-Meta-analysis has become an important supplement to traditional methods of research reviewing, alt...
Meta-research has spurred two opposing perspectives on science: one treats individual studies and st...
The long-term impact of studies of statistical power is investigated using J. Cohen's (1962) pi...
The importance of statistical power is under recognized both in single study research and meta-analy...
Aims. This paper highlights the lack of consideration that is given to power in the health and socia...
Calculations of the power of statistical tests are important in planning research studies (including...
One of the reasons for the popularity of meta-analysis is the notion that these analyses will posses...
Although statistical power is often considered in the design of primary research studies, it is rare...
In this article, the authors outline methods for using fixed and random effects power analysis in th...
The power was calculated as 0.9963 based on the anticipated effect size of SMD = 0.8, the 10 identif...
Despite the funding agencies growing demands towards power analyses, we believe researchers are stil...
One of the most frequently cited reasons for conducting a meta-analysis is the increase in statistic...
Rex Stanford (2003) recently noted "the wisdom of performing a power analysis prior to attempti...
The need for comprehensive and systematic research syntheses has been increasing as the number of pr...
A meta-analysis combines and compares quantitative results of a set of studies in which more or less...
4-Meta-analysis has become an important supplement to traditional methods of research reviewing, alt...
Meta-research has spurred two opposing perspectives on science: one treats individual studies and st...
The long-term impact of studies of statistical power is investigated using J. Cohen's (1962) pi...