Table values show the chance of finding a statistically significant between group effect as a function of true effect-size, sample-size and number of trials in the experiment.</p
rating participant choice, provides unbiased estimates of the effects of the treatment or interventi...
The Null Hypothesis Significance Testing (NHST) paradigm is increasingly criticized. Estimation appr...
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...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...
In experimental research, planning studies that have sufficient probability of detecting important e...
The power of a statistical test is the probability that it will yield a statistically significant re...
Statistical power is an important detail to consider in the design phase of any experiment. This pap...
Statistical power is the ability to detect a significant effect, given that the effect actually exis...
Summary: Experimental design requires estimation of the sample size required to produce a meaningful...
<p>The table reports the <i>p</i>-values and corresponding <i>W</i> statistics (in brackets) returne...
Noted for its accessible approach, this text applies the latest approaches of power analysis to both...
probability to reject the null hypothesis of homogeneity between cases and controls. statistical po...
<p>Group comparisons, p-values and effect sizes (), were robust to whether the last 100, 200, 300 an...
<p>The left panel shows the mean probability of introducing the potential cause, P(Cause), in each o...
rating participant choice, provides unbiased estimates of the effects of the treatment or interventi...
The Null Hypothesis Significance Testing (NHST) paradigm is increasingly criticized. Estimation appr...
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...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...
In experimental research, planning studies that have sufficient probability of detecting important e...
The power of a statistical test is the probability that it will yield a statistically significant re...
Statistical power is an important detail to consider in the design phase of any experiment. This pap...
Statistical power is the ability to detect a significant effect, given that the effect actually exis...
Summary: Experimental design requires estimation of the sample size required to produce a meaningful...
<p>The table reports the <i>p</i>-values and corresponding <i>W</i> statistics (in brackets) returne...
Noted for its accessible approach, this text applies the latest approaches of power analysis to both...
probability to reject the null hypothesis of homogeneity between cases and controls. statistical po...
<p>Group comparisons, p-values and effect sizes (), were robust to whether the last 100, 200, 300 an...
<p>The left panel shows the mean probability of introducing the potential cause, P(Cause), in each o...
rating participant choice, provides unbiased estimates of the effects of the treatment or interventi...
The Null Hypothesis Significance Testing (NHST) paradigm is increasingly criticized. Estimation appr...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...