Question 1

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?

Accepted Answer

A)  Pearson correlation 
B)  Multiple regression 
C)  Logistic regression 
D)  Hierarchical regression 
A)  Pearson correlation 
B)  Multiple regression 
C)  Logistic regression 
D)  Hierarchical regression C

Question 2

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

Accepted Answer

A)  internal consistency. 
B)  ecological validity. 
C)  test-retest reliability. 
D)  construct validity. 
A)  internal consistency. 
B)  ecological validity. 
C)  test-retest reliability. 
D)  construct validity. C

Question 3

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

Accepted Answer

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 
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 B

Question 4

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

Accepted Answer

A)  Factor analysis 
B)  Pearson correlation 
C)  Partial correlation 
D)  Cronbach's alpha 
A)  Factor analysis 
B)  Pearson correlation 
C)  Partial correlation 
D)  Cronbach's alpha

Question 5

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

Accepted Answer

A)  r=.52 
B)  r=-.17 
C)  r=1.12 
D)  r=-.44 
A)  r=.52 
B)  r=-.17 
C)  r=1.12 
D)  r=-.44

Question 6

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?

Accepted Answer

A)  Reliability analysis 
B)  Factor analysis 
C)  Hierarchical regression 
D)  Multiple regression 
A)  Reliability analysis 
B)  Factor analysis 
C)  Hierarchical regression 
D)  Multiple regression

Question 7

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

Accepted Answer

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. 
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.

Question 8

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?

Accepted Answer

A)  Partial correlation 
B)  Multiple regression 
C)  Factor analysis 
D)  Hierarchical regression 
A)  Partial correlation 
B)  Multiple regression 
C)  Factor analysis 
D)  Hierarchical regression

Question 9

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

Accepted Answer

A)  Only continuous variables 
B)  Only categorical variables 
C)  Continuous and binary (categorical) variables 
D)  All types of variables 
A)  Only continuous variables 
B)  Only categorical variables 
C)  Continuous and binary (categorical) variables 
D)  All types of variables

Question 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?

Accepted Answer

A)  Partial correlation 
B)  Pearson correlation 
C)  Multiple regression 
D)  Logistic regression 
A)  Partial correlation 
B)  Pearson correlation 
C)  Multiple regression 
D)  Logistic regression

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?

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

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

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

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

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?

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

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?

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

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?

The Basics of Research Design

Questionnaire Design

Analysing Data for Psychological Research

Introducing Spss

Experimental Design

T Tests

One-Way Independent Measures Anova

One-Way Repeated Measures Anova

Ancova

Two-Way Factorial Independent Anova

Two-Way Factorial Repeated Anova

Two-Way Factorial Mixed Design Anova

Presenting Experimental Studies

Correlations

Multiple Regression

Hierarchical Regression

Logistic Regression

Factor Analysis

Presenting Correlational Studies

Qualitative Design

Designing Interviews and Focus Groups

Content Analysis and Thematic Analysis

Grounded Theory

Interpretative Phenomenological Analysis

Discourse Analysis

Presenting Qualitative Studies

How Do I Decide What to Do With My Data

Mixed Methods

Broadening Your Research Horizons

Filters

Exam 14: Correlational Design

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?

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

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

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

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

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?

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

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?

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

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?

The Basics of Research Design

Questionnaire Design

Analysing Data for Psychological Research

Introducing Spss

Experimental Design

T Tests

One-Way Independent Measures Anova

One-Way Repeated Measures Anova

Ancova

Two-Way Factorial Independent Anova

Two-Way Factorial Repeated Anova

Two-Way Factorial Mixed Design Anova

Presenting Experimental Studies

Correlations

Multiple Regression

Hierarchical Regression

Logistic Regression

Factor Analysis

Presenting Correlational Studies

Qualitative Design

Designing Interviews and Focus Groups

Content Analysis and Thematic Analysis

Grounded Theory

Interpretative Phenomenological Analysis

Discourse Analysis

Presenting Qualitative Studies

How Do I Decide What to Do With My Data

Mixed Methods

Broadening Your Research Horizons

Filters

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