Significance testing has been criticized, among others, for encouraging researchers to focus on whether or not an effect exists, rather than on the size of an effect. Confidence intervals (CIs), on the other hand, are expected to encourage researchers to focus more on effect size, since CIs combine inference and effect size. Although the importance of focusing on effect size seems undisputed, little is known about how often effect sizes are actually interpreted in published articles. The present paper will present a study on this issue. Interpretations of effect size, if they are presented in the first place, are categorized as unstandardized (content-related) or standardized (not content-related). Moreover, the interpretations of effect si...
In recent years, there has been an increase in the reporting of effect size information. This paper ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why me...
The Publication Manual of the American Psychological Association (American Psychological Association...
The Publication Manual of the American Psychological Association (American Psychological Association...
This study addresses research reporting practices and protocols by bridging the gap from the theoret...
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
Effect sizes may be seen as an alternative - or supplement - to the use of statistical significance ...
The present paper comments on the matters raised regarding statistical significance tests by three s...
Journals in numerous fields including psychology, education, public health, and business currently r...
Researchers in the field of psychology often face the situation that the statistical significance de...
Over the years, methodologists have been recommending that researchers use magnitude of effect estim...
Effect sizes are critical to result interpretation and synthesis across studies. Although statistica...
This short paper reviews the reasons why effect sizes are worthy of reporting and consideration when...
Statistical significance testing is the cornerstone of quantitative research, but studies that fail ...
In recent years, there has been an increase in the reporting of effect size information. This paper ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why me...
The Publication Manual of the American Psychological Association (American Psychological Association...
The Publication Manual of the American Psychological Association (American Psychological Association...
This study addresses research reporting practices and protocols by bridging the gap from the theoret...
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
Effect sizes may be seen as an alternative - or supplement - to the use of statistical significance ...
The present paper comments on the matters raised regarding statistical significance tests by three s...
Journals in numerous fields including psychology, education, public health, and business currently r...
Researchers in the field of psychology often face the situation that the statistical significance de...
Over the years, methodologists have been recommending that researchers use magnitude of effect estim...
Effect sizes are critical to result interpretation and synthesis across studies. Although statistica...
This short paper reviews the reasons why effect sizes are worthy of reporting and consideration when...
Statistical significance testing is the cornerstone of quantitative research, but studies that fail ...
In recent years, there has been an increase in the reporting of effect size information. This paper ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why me...