Chapter 7: Working With Scales and Indices

Test Bank

Multiple Choice

1. Which of the following would most likely be a multidimensional construct?

A. the number of people in a household

B. a respondent’s age

C. marital satisfaction

D. marital status

Cognitive Domain: Comprehension

Answer Location: Introduction

Difficulty Level: Medium

2. What are the advantages of using a scale instead of an index, according to the text?

A. Scales require less interpretation.

B. Scales are just the accumulation of responses.

C. Scales can weigh some responses more heavily than others.

D. Scales have a meaningful zero point.

Cognitive Domain: Application

Answer Location: Introduction

Difficulty Level: Medium

3. ______ scaling measures attitudes or other concepts as hierarchical structures.

A. Likert

B. Semantic differential

C. Cronbach

D. Guttman

Cognitive Domain: Knowledge

Answer Location: Types of Scales and Indices

Difficulty Level: Easy

4. If a researcher is studying marital satisfaction, then they might find that female respondents feel important in their marriage, but less valued. Which of the following scaling mechanisms would be the most helpful in measuring these multiple dimensions of marital satisfaction?

A. Guttman scaling

B. semantic differential scales

C. Likert-type scales

D. means substitution

Cognitive Domain: Application

Answer Location: Types of Scales and Indices

Difficulty Level: Medium

5. If there are missing data rates over ______%, then a researcher should evaluate whether the data are generalizable to the larger population.

A. 1

B. 5

C. 10

D. 15

Cognitive Domain: Knowledge

Answer Location: Strategies for Dealing With Missing Data

Difficulty Level: Easy

6. Researchers are most likely to use ______ to account for low rates of missing data.

A. means substitution

B. pairwise deletion

C. listwise deletion

D. combining variables

Cognitive Domain: Knowledge

Answer Location: Strategies for Dealing With Missing Data

Difficulty Level: Easy

7. Which of the following techniques involves using the rest of the sample data to estimate what a missing response could have been?

A. means substitution

B. pairwise deletion

C. listwise deletion

D. combining variables

Cognitive Domain: Knowledge

Answer Location: Strategies for Dealing With Missing Data

Difficulty Level: Easy

8. Why would a researcher object to using pairwise deletion to account for missing data?

A. It does not offer a perfect prediction of missing values.

B. The sample size can change based on what is being analyzed.

C. It deletes respondents who do not provide adequate responses.

D. It deletes groups or clusters of respondents who do not provide adequate responses.

Cognitive Domain: Knowledge

Answer Location: How Do We Deal With Missing Data in Scales and Indices?

Difficulty Level: Easy

9. Once a researcher has already determined if a scale or index is multidimensional, then they are likely to use ______ to further explore the multidimensional nature of a scale or index.

A. factor analysis

B. split-half reliability

C. lambda

D. Cronbach’s coefficient

Cognitive Domain: Knowledge

Answer Location: Determining Internal Consistency of Scales and Indices

Difficulty Level: Easy

10. In general, if ______ of the data is missing, then it is appropriate to use listwise deletion.

A. less than 10%

B. more than 10%

C. less than 50%

D. more than 50%

Cognitive Domain: Knowledge

Answer Location: Strategies for Dealing With Missing Data

Difficulty Level: Easy

True/False

1. Likert-type scales are the most frequently used scaling technique for questionnaires.

Cognitive Domain: Knowledge

Answer Location: Types of Scales and Indices

Difficulty Level: Easy

2. Payment is always required to use previously published scales and indexes.

Cognitive Domain: Knowledge

Answer Location: Permission, Copyrights, and So Forth

Difficulty Level: Easy

3. If there is a pattern of data missing this is not completely at random, then there might be strong potential for systematic bias.

Cognitive Domain: Knowledge

Answer Location: How Do We Deal With Missing Data in Scales and Indices?

Difficulty Level: Easy

4. There is no issue in using listwise deletion to account for any missing data, even if the data are not missing completely at random.

Cognitive Domain: Comprehension

Answer Location: Strategies for Dealing With Missing Data

Difficulty Level: Medium

5. Scales or indices that measure multidimensional constructs only have to address some of the dimensions.

Cognitive Domain: Knowledge

Answer Location: Dimensionality

Difficulty Level: Easy