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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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18 CHAPTER 1 | Introduction to Statistics

2. A research study comparing alcohol use for college students in the United States

and Canada reports that more Canadian students drink but American students drink

more (Kuo, Adlaf, Lee, Gliksman, Demers, and Wechsler, 2002). What research

design did this study use?

a. correlational

b. experimental

c. nonexperimental

d. noncorrelational

3. Stephens, Atkins, and Kingston (2009) found that participants were able to tolerate

more pain when they shouted their favorite swear words over and over than when

they shouted neutral words. For this study, what is the independent variable?

a. the amount of pain tolerated

b. the participants who shouted swear words

c. the participants who shouted neutral words

d. the kind of word shouted by the participants

ANSWERS

1. C, 2. C, 3. D

1.3 Variables and Measurement

LEARNING OBJECTIVES

6. Explain why operational definitions are developed for constructs and identify the two

components of an operational definition.

7. Describe discrete and continuous variables and identify examples of each.

8. Differentiate nominal, ordinal, interval, and ratio scales of measurement.

■ Constructs and Operational Definitions

The scores that make up the data from a research study are the result of observing and

measuring variables. For example, a researcher may finish a study with a set of IQ scores,

personality scores, or reaction-time scores. In this section, we take a closer look at the variables

that are being measured and the process of measurement.

Some variables, such as height, weight, and eye color are well-defined, concrete entities

that can be observed and measured directly. On the other hand, many variables studied

by behavioral scientists are internal characteristics that people use to help describe and

explain behavior. For example, we say that a student does well in school because he or

she is intelligent. Or we say that someone is anxious in social situations, or that someone

seems to be hungry. Variables like intelligence, anxiety, and hunger are called constructs,

and because they are intangible and cannot be directly observed, they are often called

hypothetical constructs.

Although constructs such as intelligence are internal characteristics that cannot be

directly observed, it is possible to observe and measure behaviors that are representative

of the construct. For example, we cannot “see” intelligence but we can see examples of

intelligent behavior. The external behaviors can then be used to create an operational definition

for the construct. An operational definition defines a construct in terms of external

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