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| The [[attachment:prop1s.xls|spreadsheet]] gives the power for inputted group proportions (which should sum to 1), Type I error and a given total sample size. The expected proportions assume equal group sizes. Power may also be obtained [[FAQ/onesamppow|using R.]] | |
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| The [attachment:prop1s.xls spreadsheet] gives the power for inputted group proportions (which should sum to 1), Type I error and given total sample size. The expected proportions are assume equal group sizes. | The expected effect size, $$\omega$$, defined below is from Cohen (1977,1988, Chap 7). |
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| The expected effect size w is | $$\omega = \sqrt{ \sum_text{1}^text{no. groups} \frac{\mbox{(observed proportion - expected proportion)}^text{2}}{ \mbox{ expected proportion}}}$$ |
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| $$ \sqrt{ \Sum_text{i}^text{no. groups} \mbox{(observed proportion - expected proportion)}^text{2} / expected proportion} $$ |
The thresholds 0.1, 0.3, 0.5 correspond to small, medium and large $$\omega$$ effect sizes. |
The spreadsheet gives the power for inputted group proportions (which should sum to 1), Type I error and a given total sample size. The expected proportions assume equal group sizes. Power may also be obtained using R.
The expected effect size, $$\omega$$, defined below is from Cohen (1977,1988, Chap 7).
$$\omega = \sqrt{ \sum_text{1}text{no. groups} \frac{\mbox{(observed proportion - expected proportion)}text{2}}{ \mbox{ expected proportion}}}$$
The thresholds 0.1, 0.3, 0.5 correspond to small, medium and large $$\omega$$ effect sizes.