Correlational Design Exam Questions Chapter 14 1st Edition - Quant + Qual Psych Methods 1e | Test Bank Bourne by Victoria Bourne. DOCX document preview.

Correlational Design Exam Questions Chapter 14 1st Edition

Chapter 14: Correlational design

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Type: multiple choice question

Title: Chapter 14 Question 1

1) Which of the following r values is correct for the finding that shows that as depression scores increase, so do anxiety scores?

a. r=.52

b. r=-.17

c. r=1.12

d. r=-.44

Type: multiple choice question

Title: Chapter 14 Question 2

2) If we find the correlation between self-esteem and depression scores is r=-.43, then how might we describe this relationship?

a. Increasing levels of self-esteem negatively affect levels of depression.

b. Increasing levels of self-esteem positively affect levels of depression.

c. As self-esteem scores increase, depression scores increase.

d. As self-esteem scores increase, depression scores decrease.

Type: multiple choice question

Title: Chapter 14 Question 3

3) What types of variables are suitable as predictor variables in a regression analyses?

a. Only continuous variables

b. Only categorical variables

c. Continuous and binary (categorical) variables

d. All types of variables

Type: multiple choice question

Title: Chapter 14 Question 4

4) If we wanted to test for whether age and stress levels can predict a person being a smoker (yes/no), then what type of analysis would be suitable?

a. Pearson correlation

b. Multiple regression

c. Logistic regression

d. Hierarchical regression

Type: multiple choice question

Title: Chapter 14 Question 5

5) If we wanted to test whether hours of studying and gender can predict exam test scores whilst controlling for IQ, then what type of analysis would be most suitable?

a. Partial correlation

b. Multiple regression

c. Factor analysis

d. Hierarchical regression

Type: multiple choice question

Title: Chapter 14 Question 6

6) If an individual scores similarly on a test of verbal intelligence at two different time points, then this would be an example of…

a. internal consistency.

b. ecological validity.

c. test-retest reliability.

d. construct validity.

Type: multiple choice question

Title: Chapter 14 Question 7

7) If we wanted to know whether our questionnaire about happiness has good internal consistency, then what correlational-based analysis would be appropriate?

a. Factor analysis

b. Pearson correlation

c. Partial correlation

d. Cronbach’s alpha

Type: multiple choice question

Title: Chapter 14 Question 8

8) If we had an R2 of .14 then what would this mean?

a. That the finding is non-significant

b. That the finding has a medium effect size

c. That the finding has a small effect size

d. That the finding is significant

Type: multiple choice question

Title: Chapter 14 Question 9

9) If you ran a questionnaire on your participants and wanted to reduce the number of variables that summarize the dataset, then what would be the most appropriate method of analysis?

a. Reliability analysis

b. Factor analysis

c. Hierarchical regression

d. Multiple regression

Type: multiple choice question

Title: Chapter 14 Question 10

10) If we wanted to examine the relationship between salary and IQ whilst controlling for gender, then what would be the most suitable method of analysis?

a. Partial correlation

b. Pearson correlation

c. Multiple regression

d. Logistic regression

Document Information

Document Type:
DOCX
Chapter Number:
14
Created Date:
Aug 21, 2025
Chapter Name:
Chapter 14 Correlational Design
Author:
Victoria Bourne

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