The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance on how to avoid common pitfalls by offering simple tips to improve your reporting of quantitative research findings. Each entry discusses a commonly encountered inappropriate practice and alternatives from a pragmatic perspective with minimal mathematics involved. We encourage readers to share comments on or suggestions for this section on Twitter, using the hashtag: #mededstats
It has often been noted by methodologists and authors of systematic reviews of research that studies...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
Over the years, methodologists have been recommending that researchers use magnitude of effect estim...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
A number of academic disciplines are engaged in scholarly discussions regarding statistical practice...
Effect sizes are the currency of psychological research. They quantify the results of a study to ans...
Effect sizes are important for power analysis and meta-analysis. This has led to a debate on reporti...
Journals in numerous fields including psychology, education, public health, and business currently r...
The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researche...
Statistical significance testing is the cornerstone of quantitative research, but studies that fail ...
Effect sizes may be seen as an alternative - or supplement - to the use of statistical significance ...
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes high...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
This short paper reviews the reasons why effect sizes are worthy of reporting and consideration when...
[Background] Most meta-analyses use the ‘standardised mean difference’ (effect size) to summarise th...
It has often been noted by methodologists and authors of systematic reviews of research that studies...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
Over the years, methodologists have been recommending that researchers use magnitude of effect estim...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
A number of academic disciplines are engaged in scholarly discussions regarding statistical practice...
Effect sizes are the currency of psychological research. They quantify the results of a study to ans...
Effect sizes are important for power analysis and meta-analysis. This has led to a debate on reporti...
Journals in numerous fields including psychology, education, public health, and business currently r...
The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researche...
Statistical significance testing is the cornerstone of quantitative research, but studies that fail ...
Effect sizes may be seen as an alternative - or supplement - to the use of statistical significance ...
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes high...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
This short paper reviews the reasons why effect sizes are worthy of reporting and consideration when...
[Background] Most meta-analyses use the ‘standardised mean difference’ (effect size) to summarise th...
It has often been noted by methodologists and authors of systematic reviews of research that studies...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
Over the years, methodologists have been recommending that researchers use magnitude of effect estim...