Question 1

As extraversion increases, number of parties attended per month increases. Which type of relationship is described?

Accepted Answer

A)  No relationship 
B)  Non-linear 
C)  Negative 
D)  Positive 
A)  No relationship 
B)  Non-linear 
C)  Negative 
D)  Positive D

Question 2

Which of the following variables would be suitable for use in a correlational study?

Accepted Answer

A)  Diagnosis: depression, anxiety or psychosis 
B)  Whether the participant has a driving licence or not 
C)  Reaction times 
D)  Degree subject studied 
A)  Diagnosis: depression, anxiety or psychosis 
B)  Whether the participant has a driving licence or not 
C)  Reaction times 
D)  Degree subject studied C

Question 3

What type of design would you need to use if you wanted to determine causality in a research study?

Accepted Answer

A)  Qualitative 
B)  Categorical 
C)  Correlational 
D)  Experimental 
A)  Qualitative 
B)  Categorical 
C)  Correlational 
D)  Experimental D

Question 4

Which of the following is a two-tailed hypothesis for a correlational study?

Accepted Answer

A)  There will be a relationship between conscientiousness and grades at university 
B)  There will be no relationship between conscientiousness and grades at university 
C)  People with higher scores on a conscientiousness measure will achieve higher grades at university 
D)  People with higher scores on a conscientiousness measure will achieve lower grades at university 
A)  There will be a relationship between conscientiousness and grades at university 
B)  There will be no relationship between conscientiousness and grades at university 
C)  People with higher scores on a conscientiousness measure will achieve higher grades at university 
D)  People with higher scores on a conscientiousness measure will achieve lower grades at university

Question 5

Which of the following variables would NOT be suitable for use in a correlational study?

Accepted Answer

A)  IQ 
B)  Age 
C)  Employment status (employed or not) 
D)  Annual income 
A)  IQ 
B)  Age 
C)  Employment status (employed or not) 
D)  Annual income

Question 6

You run a regression to look at whether the ability to detect lies can be predicted by a participant's age. How would you describe the lie detection variable in this study?

Accepted Answer

A)  Predictor variable 
B)  Independent variable 
C)  Outcome variable 
D)  Dependent variable 
A)  Predictor variable 
B)  Independent variable 
C)  Outcome variable 
D)  Dependent variable

Question 7

What type of hypothesis is this: It is predicted that as levels of social support increase, levels of depression will decrease.

Accepted Answer

A)  One-tailed, predicting a positive relationship 
B)  One-tailed, predicting a negative relationship 
C)  Two-tailed 
D)  Null 
A)  One-tailed, predicting a positive relationship 
B)  One-tailed, predicting a negative relationship 
C)  Two-tailed 
D)  Null

Question 8

You run a regression to look at whether the ability to detect lies can be predicted by a participant's age. How would you describe the age variable in this study?

Accepted Answer

A)  Independent variable 
B)  Predictor variable 
C)  Outcome variable 
D)  Dependent variable 
A)  Independent variable 
B)  Predictor variable 
C)  Outcome variable 
D)  Dependent variable

Question 9

What is a confounding variable?

Accepted Answer

A)  An unmeasured variable that can explain some of the variance in a dataset 
B)  An unmeasured variable that cannot explain some of the variance in a dataset 
C)  A measured variable that can explain some of the variance in a dataset 
D)  A measured variable that cannot explain some of the variance in a dataset 
A)  An unmeasured variable that can explain some of the variance in a dataset 
B)  An unmeasured variable that cannot explain some of the variance in a dataset 
C)  A measured variable that can explain some of the variance in a dataset 
D)  A measured variable that cannot explain some of the variance in a dataset

Question 10

A significant correlation showed that the amount of time spent meditating daily causes improvements in mood. What is wrong with this conclusion?

Accepted Answer

A)  A negative relationship is described 
B)  Correlation cannot imply causation 
C)  Mood is not suitable for inclusion in a correlational study 
D)  Amount of time spent meditating is not suitable for inclusion in a correlational study 
A)  A negative relationship is described 
B)  Correlation cannot imply causation 
C)  Mood is not suitable for inclusion in a correlational study 
D)  Amount of time spent meditating is not suitable for inclusion in a correlational study

As extraversion increases, number of parties attended per month increases. Which type of relationship is described?

Which of the following variables would be suitable for use in a correlational study?

What type of design would you need to use if you wanted to determine causality in a research study?

Which of the following is a two-tailed hypothesis for a correlational study?

Which of the following variables would NOT be suitable for use in a correlational study?

You run a regression to look at whether the ability to detect lies can be predicted by a participant's age. How would you describe the lie detection variable in this study?

What type of hypothesis is this: It is predicted that as levels of social support increase, levels of depression will decrease.

You run a regression to look at whether the ability to detect lies can be predicted by a participant's age. How would you describe the age variable in this study?

What is a confounding variable?

A significant correlation showed that the amount of time spent meditating daily causes improvements in mood. What is wrong with this conclusion?

An Overview of How to Do Research

How to Design a Psychological Study: the Basics of Methodology

How to Find, Read, Write and Think About Research Papers

Qualitative Methods in Psychological Research

The Basics of Statistical Analysis

How to Design an Experiment

How Can I Tell If Scores Differ Between Two Groups Independent T Test

How Can I Tell If Scores Differ Between Two Conditions Repeated T Test

How Can I Tell If Scores Differ Between Three or More Groups One-Way Independent Measures Anova

How Can I Tell If Two Variables Are Correlated Pearsons Correlation

How Can I Tell If One Variable Can Predict Another Simple Linear Regression

When and Why Might I Need to Use Non-Parametric Statistics

Do My Data Fit the Expected Frequencies Chi Square

Are There Differences Between Groups or Conditions Mann-Whitney U and Wilcoxon Signed Rank Tests

Is There a Relationship Between Two Variables Spearmans Correlation

Which Statistical Test Should I Use

Moving Beyond the Basics of Research and Analysis: How Do I Understand More Complicated Research Designs

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Exam 10: How to Design a Correlational Study

As extraversion increases, number of parties attended per month increases. Which type of relationship is described?

Which of the following variables would be suitable for use in a correlational study?

What type of design would you need to use if you wanted to determine causality in a research study?

Which of the following is a two-tailed hypothesis for a correlational study?

Which of the following variables would NOT be suitable for use in a correlational study?

You run a regression to look at whether the ability to detect lies can be predicted by a participant's age. How would you describe the lie detection variable in this study?

What type of hypothesis is this: It is predicted that as levels of social support increase, levels of depression will decrease.

You run a regression to look at whether the ability to detect lies can be predicted by a participant's age. How would you describe the age variable in this study?

What is a confounding variable?

A significant correlation showed that the amount of time spent meditating daily causes improvements in mood. What is wrong with this conclusion?

An Overview of How to Do Research

How to Design a Psychological Study: the Basics of Methodology

How to Find, Read, Write and Think About Research Papers

Qualitative Methods in Psychological Research

The Basics of Statistical Analysis

How to Design an Experiment

How Can I Tell If Scores Differ Between Two Groups Independent T Test

How Can I Tell If Scores Differ Between Two Conditions Repeated T Test

How Can I Tell If Scores Differ Between Three or More Groups One-Way Independent Measures Anova

How Can I Tell If Two Variables Are Correlated Pearsons Correlation

How Can I Tell If One Variable Can Predict Another Simple Linear Regression

When and Why Might I Need to Use Non-Parametric Statistics

Do My Data Fit the Expected Frequencies Chi Square

Are There Differences Between Groups or Conditions Mann-Whitney U and Wilcoxon Signed Rank Tests

Is There a Relationship Between Two Variables Spearmans Correlation

Which Statistical Test Should I Use

Moving Beyond the Basics of Research and Analysis: How Do I Understand More Complicated Research Designs

Filters