Summary
Contents
Subject index
This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.
Design 9
Design 9
Factorial designs—the effect of two independent variables on the dependent variable
(c) Repeated measures on BOTH factors
| Independent variable B (Factor B) | |||
| Level B1 | Level B2 | ||
| Independent variable A | Level A1 | Group 1 | Group 1 |
| (Factor A) | Level A2 | Group 1 | Group 1 |
Or
| Independent variable A (Factor A) | ||||
| Level A1 | Level A2 | |||
| Group 1 subjects | Independent variable B (Factor B) | |||
| Level B1 | Level B2 | Level B1 Level B2 | ||
| M | XM(A1B1) | XM(A1B2) | XM(A2B1) | XM(A2B2) |
| N | XN(A1B1) | XN(A1B2) | XN(A2B1) | XN(A2B2) |
| O | XO(A1B1) | XO(A1B2) | XO(A2B1) | XO(A2B2) |
| P | XP(A1B1) | XP(A1B2) | XP(A2B1) | XP(A2B2) |
| Q | XQ(A1B1) | XQ(A1B2) | XQ(A2B1) | XQ(A2B2) |
| R | XR(A1B1) | XR(A1B2) | XR(A2B1) | XR(A2B2) |
20.1 Using TWO-WAY ANALYSIS OF VARIANCE—repeated observations on both ...
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