Experimental Design & Analysis for Psychology > 심리학

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
References
Index