<p>This figure shows the power of a study with two independent groups as a function of sample size for different levels of effect size (assuming that alpha, 2-tailed, is set at.05). For a small effect size (d = .2) we would need two samples of 393 participants to yield a power of 80%. This means that there is 80% chance of finding a significant difference between the groups, given that an effect of this size exists at the population level. For a medium effect size (d = .5) we would need two samples of 64 participants to achieve this level of power. For a large effect size (d = .8) we need 26 participants per group.</p
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
“How many subjects do I need for my study”? This is one of the most important (and frequently asked)...
This is an accepted manuscript of an article published by Taylor and Francis in Journal of Sports Sc...
In experimental research, planning studies that have sufficient probability of detecting important e...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
We compare the sample size requirements for significance tests and confidence intervals by calculati...
Table values show the chance of finding a statistically significant between group effect as a functi...
This book addresses sample size and power in the context of research, offering valuable insights for...
Among the questions that a researcher should ask when planning a study is "How large a sample do I n...
The study aimed at identifying statistical power and effect size in number of published research in ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
In psychology, attempts to replicate published findings are less successful than expected. For prope...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
Statistical software is now commonly available to calculate Power (P') and sample size (N) for most ...
Calculating the sample size in scientific studies is one of the critical issues as regards the scien...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
“How many subjects do I need for my study”? This is one of the most important (and frequently asked)...
This is an accepted manuscript of an article published by Taylor and Francis in Journal of Sports Sc...
In experimental research, planning studies that have sufficient probability of detecting important e...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
We compare the sample size requirements for significance tests and confidence intervals by calculati...
Table values show the chance of finding a statistically significant between group effect as a functi...
This book addresses sample size and power in the context of research, offering valuable insights for...
Among the questions that a researcher should ask when planning a study is "How large a sample do I n...
The study aimed at identifying statistical power and effect size in number of published research in ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
In psychology, attempts to replicate published findings are less successful than expected. For prope...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
Statistical software is now commonly available to calculate Power (P') and sample size (N) for most ...
Calculating the sample size in scientific studies is one of the critical issues as regards the scien...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
“How many subjects do I need for my study”? This is one of the most important (and frequently asked)...
This is an accepted manuscript of an article published by Taylor and Francis in Journal of Sports Sc...