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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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SECTION 12.4 | Examples of Hypothesis Testing and Effect Size with ANOVA 389

straightforward. Specifically, we determine how much of the total SS is accounted for by

the SS between treatments

.

The percentage of variance accounted for 5 SS between treatments

SS total

(12.14)

For the data in Example 12.2, we obtain

The percentage of variance accounted for = 84 = 0.488 (or 48.8%)

172

In published reports of ANOVA results, the percentage of variance accounted for by the

treatment effect is usually called η 2 (the Greek letter eta squared) instead of using r 2 . Thus,

for the study in Example 12.2, η 2 = 0.488.

The following example is an opportunity for you to test your understanding of computing

η 2 to measure effect size in ANOVA.

EXAMPLE 12.3

The ANOVA from an independent-measures study is summarized in the following table.

Source SS df MS

Between treatments 84 2 42 F(2, 12) = 7.00

Within treatments 72 12 6

Total 156 14

Compute η 2 to measure effect size for this study. You should find that η 2 = 0.538.

IN THE LITERATURE

Reporting the Results of Analysis of Variance

The APA format for reporting the results of ANOVA begins with a presentation of

the treatment means and standard deviations in the narrative of the article, a table, or

a graph. These descriptive statistics are not needed in the calculations of the actual

ANOVA, but you can easily determine the treatment means from n and T (M = T/n) and

the standard deviations from the SS values for each treatment [s 5 ÏSS/(n21)]. Next,

report the results of the ANOVA. For the study described in Example 12.1, the report

might state the following:

The means and standard deviations are presented in Table 1. The analysis of variance

indicates that there are significant differences among the three strategies for studying,

F(2, 15) = 7.16, p < .05, η 2 = 0.488.

TABLE 1

Quiz scores following three different strategies for studying.

Simply reread

Answer prepared

questions

Create and answer

your own questions

M 5.00 9.00 10.00

SD 2.19 2.61 2.45

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