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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

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478 CHAPTER 14 | Two-Factor Analysis of Variance (Independent Measures)

The MS values needed for the F-ratios are

Finally, the F-ratios are

MS A

5 SS A

df A

5 20 1 5 20

MS B

5 SS B

df B

5 180

1 5 180

MS A3B

5 SS A3B

df A3B

5 320

1 5 320

MS within treatments

5 SS within treatments

df within treatments

5 5396

76 5 71

F A

5

F B

5

F A3B

5

MS A

MS within treatments

5 20

71 5 0.28

MS B

MS within treatments

5 180

71 5 2.54

MS A3B

MS within treatments

5 320

71 5 4.51

STEP 3

Make a decision and state a conclusion All three F-ratios have df = 1, 76. With α = .05,

the critical F value is 3.98 for all three tests.

For these data, factor A (weight) has no significant effect; F(1, 76) = 0.28. Statistically,

there is no difference in the number of crackers eaten by normal vs. obese participants.

Similarly, factor B (fullness) has no significant effect; F(1, 76) = 2.54. Statistically, the

number of crackers eaten by full participants is no different from the number eaten by hungry

participants. (Note: This conclusion concerns the combined group of normal and obese participants.

The interaction concerns these two groups separately.)

These data produce a significant interaction; F(1, 76) = 4.51, p < .05. This means that

the effect of fullness does depend on weight. A closer look at the original data shows that

the degree of fullness did affect the normal participants, but it had no effect on the obese

participants.

DEMONSTRATION 14.2

MEASURING EFFECT SIZE FOR THE TWO-FACTOR ANOVA

Effect size for each main effect and for the interaction is measured by eta squared (η 2 ), the

percentage of variance explained by the specific main effect or interaction. In each case, the

variability that is explained by other sources is removed before the percentage is computed.

For the two-factor ANOVA in Demonstration 14.1,

For factor A, h 2 5

For factor B, h 2 5

For A 3 B, h 2 5

SS A

20

5

5 0.004 sor 0.4%d

SS total

2 SS B

2 SS A3B

5916 2 180 2 320

SS B

180

5

5 0.032 sor 3.2%d

SS total

2 SS A

2 SS A3B

5916 2 20 2 320

SS A3B

320

5

5 0.056 sor 5.6%d

SS total

2 SS A

2 SS B

5916 2 20 2 180

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