Hypothesis Testing - Pearson's r 2007

# Hypothesis Testing - Pearson's r 2007 - PSY031 Spring 2008...

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PSY031 Spring 2008 Hypothesis Testing r-tot Approximation - 1 - Hypothesis Testing Guide for Pearson’s r-to-t Approximation Step 1: State the Hypotheses: H 0 : r = 0 (or ρ = 0 ) H 1 : r 0 (or ρ 0 ) Step 2: Determine the nature of the DV ± Two dependent variables (for this class) Step 3: Choose the appropriate test statistic (determines H 0 distribution): ± Using the r-to-t approximation for statistical significance. Step 4: Set Type I & Type II Error Rates: α = 0.05 1 β = ?? either 0.20 and then power is 0.80 OR if you already know your sample size you need to find power first Step 5: Determine the size of your sample: : Standard Effect Size Measures : r MEI (Pearson’s r – linear effect size measure) 0.10 = small 0.25 = medium 0.40 = large Formulas If you do not know N: 2 (/ ) 1 MEI Nr δ = + If you know N: 1 MEI rN δ= **Remember to use δ to find power. Power cannot be greater than 1.** 1 No need to compute per experiment or experiment-wise if only working with one test/analysis.

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PSY031 Spring 2008 Hypothesis Testing r-tot Approximation - 2 - Step 6: Collect Data
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## This test prep was uploaded on 04/07/2008 for the course PSY 031 taught by Professor Dicorcia during the Spring '08 term at Tufts.

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Hypothesis Testing - Pearson's r 2007 - PSY031 Spring 2008...

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