Hypothesis Testing - Pearson's r 2007

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

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
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.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
PSY031 Spring 2008 Hypothesis Testing r-tot Approximation - 2 - Step 6: Collect Data
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 2

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

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online