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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 11.3 | Hypothesis Tests for the Repeated-Measures Design 343

c. For the individuals in the sample there is no consistent difference between the

two treatments.

d. For the individuals in the sample there is a consistent difference between the

two treatments.

3. For a repeated-measures study comparing two treatments with 10 scores in each

treatment, what is the df value for the t statistic?

a. 8

b. 9

c. 18

d. 19

ANSWERS

1. A, 2. B, 3. B

11.3 Hypothesis Tests for the Repeated-Measures Design

LEARNING OBJECTIVES

6. Conduct a repeated-measures t test to evaluate the significance of the population

mean difference using the data from a repeated-measures or a matched-subjects

study comparing two treatment conditions.

7. Conduct a directional (one-tailed) hypothesis test using the repeated-measures

t statistic.

In a repeated-measures study, each individual is measured in two different treatment conditions

and we are interested in whether there is a systematic difference between the scores in

the first treatment condition and the scores in the second treatment condition. A difference

score (D value) is computed for each person and the hypothesis test uses the difference

scores from the sample to evaluate the overall mean difference, μ D

, for the entire population.

The hypothesis test with the repeated-measures t statistic follows the same four-step

process that we have used for other tests. The complete hypothesis-testing procedure is

demonstrated in Example 11.2.

EXAMPLE 11.2

Swearing is a common, almost reflexive, response to pain. Whether you knock your shin

into the edge of a coffee table or smash your thumb with a hammer, most of us respond

with a streak of obscenities. One question, however, is whether swearing focuses attention

on the pain and, thereby, increases its intensity, or serves as a distraction that reduces pain.

To address this issue, Stephens, Atkins, and Kingston (2009) conducted an experiment

comparing swearing with other responses to pain. In the study, participants were asked

to place one hand in icy cold water for as long as they could bear the pain. Half of the

participants were told to repeat their favorite swear word over and over for as long as their

hands were in the water. The other half repeated a neutral word. The participants rated the

intensity of the pain and the researchers recorded how long each participant was able to

tolerate the ice water. After a brief rest, the two groups switched words and repeated the ice

water plunge. Thus, all the participants experienced both conditions (swearing and neutral)

with half swearing on their first plunge and half on their second. The results clearly showed

that swearing significantly increased pain tolerance and decreased the perceived level of

pain. The data in Table 11.3 are representative of the results obtained in the study and represented

the reports of pain level of n = 9 participants.

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