lecture 9 - Hypothesis Testing Effect Size versus...

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Hypothesis Testing
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Effect Size versus Hypothesis Test Hypothesis testing Indicates likelihood of results coming from error Does not tell effect size With large enough sample size, almost all manipulation will have some small effect
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THE SIZE OF RESEARCH RESULTS EFFECT SIZES ONE-SAMPLE TWO-SAMPLE TWO-SAMPLE EFFECT SIZE DEPENDENT INDEPENDENT | | X X d S μ - = | 0 | D D d S - = 1 2 | ( ) 0 | P X X S - - EFFECT SIZE The raw size of the effect in standard deviations (Not standard errors) Statement about populations small = .2, medium = .5, large = .8
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Effect size Important But not same as research importance Depends on explanation of psychogical phemonenon
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Power factors 1-Beta ( ) β Increase in this factor will? Affect power how? Alpha ( ) α Increase power Effect Size Increase power Sample Size (N) Increase power Standard Deviation ( σ X ) Decrease power Tails of Test Decrease power
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Suppose we are interested in the effect of "Absotox" on cognitive ability. Our plan: to select 25 participants,
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This note was uploaded on 09/28/2010 for the course PSYCH 100A 328-304-20 taught by Professor Shams during the Spring '10 term at UCLA.

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lecture 9 - Hypothesis Testing Effect Size versus...

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