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Unformatted text preview: 227-1,2,3,4 Malone, Fall, 2010 Review sheet for Chaps 12, 13, and 15 __________________________________________________ Statistical significance vs practical importance Point estimates Confidence intervals Calculating confidence intervals from z distributions Relation of confidence intervals to null hypothesis significance testing Effect size Cohen's d R2 (proportion of variance) R2from ANOVA and from correlation Small, medium, and large d and R2 Statistical power Type I error Type II error Relations among Type I error, Type II error, power, sample size, and effect size Continuous (interval, ratio) vs discrete (categorical, nominal, ordinal) variables Parametric vs nonparametric tests 2 (chi-square) Univariate 2 test (test of fit) Bivariate 2 test (test of independence) Calculating degrees of freedom for 2 tests of fit and of independence Applying the 6 (or 4) steps to 2 tests of fit and of independence Expected values of z, t, F, 2 when null hypothesis is true Relation of 2 to sample size Relative risk Association vs prediction vs causal inference "True" or "controlled" experiments Manipulated independent variables vs measured predictors vs observed dependent variables or outcomes Symmetric vs asymmetric tests Choosing a test (z, t [one-sample, two-sample, repeated measures], F, 2 [fit, independence]) when to use each Reporting methods sample size design power analysis psychometric analysis (reliability, validity) Reporting statistics which test (chosen statistic, alpha, tails) test statistic value degrees of freedom p-value effect size confidence interval ...
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This note was uploaded on 02/21/2012 for the course PYSC 227 taught by Professor Fairchild during the Fall '10 term at South Carolina.
- Fall '10