PSY522_What_test_week5

# PSY522_What_test_week5 - sample the better the results of...

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Difference or Association ? # of independent/ predictor variables # of dependent/ criterion variables Any variable s controll ed? Formula for DF Example/Note s Single sample t test Difference 1 1 No df = N-1 Difference of a one sample mean with a known population mean. Dependent means t test Difference 1 1 No df = N-1 Independen t means t test Difference 1 1 no df = N-1 Assumes that two samples have equal variance. F test may be used to prove this assumption. ANOVA Differences or effects 1 (3 or more levels) 1 No Df = n-k Df between = N groups -1 Post hoc tests are available to use that enable you to make comparisons between every pair of samples from the experiment. Factorial ANOVA Differences or effects 2+ (with 2 or more levels) 1 yes df rows = N Rows – 1 df columns = N columns -1 df within = df 1 + df 2 +…+ df last The higher the variation within the

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Unformatted text preview: sample the better the results of the factorial ANOVA. Correlation Association 2 No Df = N – 2 The variables are not designated as dependent or independent. The two most popular correlation coefficients are: Spearman's correlation coefficient rho and Pearson's product-moment correlation coefficient. Regression Association 1 1 yes df(Regression) = # of predictor variables df(Residual) = n - k – 1 df(Total) = n - 1 The dependent variable must be measured on a continuous measurement scale. The independent variable(s) can be measured on either a categorical or continuous measurement scale. Multiple Regression Association 2+ 1 yes df(Regression) = # of predictor variables df(Residual) = n - k – 1 df(Total) = n - 1...
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