Statistical software is now commonly available to calculate Power (P') and sample size (N) for most experimental designs. In many circumstances, however, sample size is constrained by lack of time, cost, and in research involving human subjects, the problems of recruiting suitable individuals. In addition, the calculation of N is often based on erroneous assumptions about variability and therefore such estimates are often inaccurate. At best, we would suggest that such calculations provide only a very rough guide of how to proceed in an experiment. Nevertheless, calculation of P' is very useful especially in experiments that have failed to detect a difference which the experimenter thought was present. We would recommend that P' should alwa...
In experimental research, planning studies that have sufficient probability of detecting important e...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
This is an accepted manuscript of an article published by Taylor and Francis in Journal of Sports Sc...
Calculating the sample size in scientific studies is one of the critical issues as regards the scien...
In experimental research, planning studies that have sufficient probability of detecting important e...
Determining the optimal sample size is crucial for any scientific investigation. An optimal sample s...
Among the questions that a researcher should ask when planning a study is "How large a sample do I n...
This book addresses sample size and power in the context of research, offering valuable insights for...
An important step when designing an empirical study is to justify the sample size that will be colle...
Summary: Experimental design requires estimation of the sample size required to produce a meaningful...
© 2017 The Royal Statistical Society Anne Beeston writes: I am planning a study to evaluate the effi...
We aimed to examine the extent to which inaccurate assumptions for nuisance parameters used to calcu...
We compare the sample size requirements for significance tests and confidence intervals by calculati...
In experimental research, planning studies that have sufficient probability of detecting important e...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
This is an accepted manuscript of an article published by Taylor and Francis in Journal of Sports Sc...
Calculating the sample size in scientific studies is one of the critical issues as regards the scien...
In experimental research, planning studies that have sufficient probability of detecting important e...
Determining the optimal sample size is crucial for any scientific investigation. An optimal sample s...
Among the questions that a researcher should ask when planning a study is "How large a sample do I n...
This book addresses sample size and power in the context of research, offering valuable insights for...
An important step when designing an empirical study is to justify the sample size that will be colle...
Summary: Experimental design requires estimation of the sample size required to produce a meaningful...
© 2017 The Royal Statistical Society Anne Beeston writes: I am planning a study to evaluate the effi...
We aimed to examine the extent to which inaccurate assumptions for nuisance parameters used to calcu...
We compare the sample size requirements for significance tests and confidence intervals by calculati...
In experimental research, planning studies that have sufficient probability of detecting important e...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...