Experimental Design and Analysis for Psychology

1 INTRODUCTION TO EXPERIMENTAL DESIGN 2 CORRELATION 3 STATISTICAL TEST: THE F TEST 4 SIMPLE LINEAR REGRESSION 5 ORTHOGONAL MULTIPLE REGRESSION 6 NON-ORTHOGONAL MULTIPLE REGRESSION 7 ANOVA ONE FACTOR: INTUITIVE APPROACH AND COMPUTATION OF F 8 ANOVA, ONE FACTOR: TEST, COMPUTATION, AND EFFECT SIZE 9 ANOVA, ONE FACTOR: REGRESSION POINT OF VIEW 10 ANOVE, ONE FACTOR: SCORE MODEL 11 ASSUMPTIONS OF ANALYSIS OF VARIANCE 12 ANALYSIS OF VARIANCE, ONE FACTOR: PLANNED ORTHOGONAL COMPARISONS 13 ANOVA, ONE FACTOR: PLANNED NON-ORTHOGONAL COMPARISONS 14 ANOVA, ONE FACTOR: POST HOC OR A POSTERIORI ANALYSES 15 MORE ON EXPERIMENTAL DESIGN: MULTI-FACTORIAL DESIGNS 16 ANOVA, TWO FACTORS: AXB OR S(AXB) 17 FACTORIAL DESIGNS AND CONTRASTS 18 ANOVA, ONE FACTOR REPEATED MEASURES DESIGN: SXA 19 ANOVA, TTWO FACTORS COMPLETELY REPEATED MEASURES: SXAXB 20 ANOVA TWO FACTOR PARTIALLY REPEATED MEASURES: S(A)XB 21 ANOVA, NESTED FACTORIAL DESIGNS: SXA(B) 22 HOW TO DERIVE EXPECTED VALUES FOR ANY DESIGN A DESCRIPTIVE STATISTICS B THE SUM SIGN: E C ELEMENTARY PROBABILITY: A REFRESHER D PROBABILITY DISTRIBUTIONS E THE BINOMIAL TEST F EXPECTED VALUES STATISTICAL TABLES