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Effect Size 7 Stat Power1 Effect Size 7 Stat Power1

Effect Size 7 Stat Power1 - PDF document

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Effect Size 7 Stat Power1 - PPT Presentation

PEP507 Research MethodsEffect Size and Statistical Power Prior to conducting the study apriori researchers shouldestimate the size of a mean difference that is meaningfulidentify a type II error ID: 953544

effect size pep507 research size effect research pep507 power methods difference sample stat estimate researcher error type detect study

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Effect Size 7 Stat Power1 PEP507: Research MethodsEffect Size and Statistical Power Prior to conducting the study (apriori), researchers should;estimate the size of a mean difference that is meaningfulidentify a type II error probability that is acceptable to themand the estimate the sample size needed to detect this mean difference,given the aforementioned t“With a l

arge enough sample size we can detect even a very small difference between the value of the population parameter stated in the nullhypothesis and the true value, but the difference may be of no practical importance. (Conversely, with too small a sample size, a researcher may havelittle chance to detect an important difference.) PEP507: Research Methods Stating that th

ere is a differenis false (Stating that there is no difference when there really is!!! Difference Effect Size 7 Stat Power2 PEP507: Research Methods Effect Size and Statistical PowerThe Power of a testctly rejecting a false Probability of type II error PEP507: Research Methods Factors Affecting Power1.Size of the effect Effect Size 7 Stat Power5 PEP507: Research Meth

ods Calculating the Power of a Test the mean of our DV will be can estimate this basell be a meaningful effect. PEP507: Research MethodsEffect SizeBy convention, we express the mthe effect size.truehypoeffect sizetells us of the magnitude of You can have a minimal effect be significant if your sample is large enough!!!!! Effect Size 7 Stat Power6 PEP507: Research Me

thodsEstimating Power and Sample SizeTypically, a researcher determines an acceptable minimal power (eg: 0.8), and then estimates the sample effect size to be significant.Problem:Computations of power are specific to resingle paradigm exists for power estimations. However, use of at-e researcher with some direction. Let’s work on a problem of our own!!!Chin-ups compl

eted before PE = 5 ±3.2 (SD)mpleted after PE = 8 How many subjects do we need PEP507: Research Methods Note, this power curve chart is for t-test H= 0, independent samples, = 0.05 Effect Size 7 Stat Power7 PEP507: Research Methods 1)Read your selected research article.2)Identify the mean differe3)Identify the standarSD’s are given (eg. pre and post), then average the

se.4)Compute the effect size.5)Use the power curve providthe study to estimate6)Could there have been a type II error in this study? Effect Size and Statistical PowerMeaningful effect sizes vary with entially meaningful. PEP507: Research Methods Estimating Power Using Computer SoftwarePower estimation is made easier by commercial software.I use the software called “St