Question 1

Which of the following should equal 0 for both predictors?

Accepted Answer

A) Mode 
B) Mean 
C) Median 
D) Range 
A) Mode 
B) Mean 
C) Median 
D) Range B

Question 2

What would the moderator variable be?

Accepted Answer

A) Group consistency 
B) Gender 
C) Performance 
D) Number of students 
A) Group consistency 
B) Gender 
C) Performance 
D) Number of students B

Question 3

If you ask one student to toss a coin three times,what is the probability that it lands heads once?

Accepted Answer

A) .125 
B) .250 
C) .333 
D) .375 
A) .125 
B) .250 
C) .333 
D) .375 D

Question 4

At which stage are the two predictors entered in hierarchical multiple regression?

Accepted Answer

A) First 
B) Last 
C) At the same stage as the predictors 
D) At the same stage as the criterion 
A) First 
B) Last 
C) At the same stage as the predictors 
D) At the same stage as the criterion

Question 5

What is the dependent variable?

Accepted Answer

A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) Type of degree studied (by the student) 
A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) Type of degree studied (by the student)

Question 6

Categorical variables are the same as quantitative variables.

Accepted Answer

A) True 
 B)False

Question 7

What is the mediator variable?

Accepted Answer

A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) None of the above 
A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) None of the above

Question 8

What is the dependent variable?

Accepted Answer

A) Group consistency 
B) Gender 
C) Performance 
D) Number of students 
A) Group consistency 
B) Gender 
C) Performance 
D) Number of students

Question 9

A moderator effect is indicated if both predictors explain a significant proportion of the variance in the criterion variable.

Accepted Answer

A) True 
 B)False

Question 10

Quantitative variables can be continuous variables.

Accepted Answer

A) True 
 B)False

Question 11

You are conducting a study into student attendance at lectures and overall degree grade and whether the grade is moderated by whether or not the lecturer has a PhD.Which is the predictor variable?

Accepted Answer

A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) Type of degree studied (by the student) 
A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) Type of degree studied (by the student)

Question 12

What is the moderator variable?

Accepted Answer

A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) Type of degree studied (by the student) 
A) Whether or not the lecturer has a PhD 
B) Student attendance 
C) Degree grade 
D) Type of degree studied (by the student)

Question 13

An increase in multicollinearity ensures that the likelihood of a moderation effect being identified is decreased.

Accepted Answer

A) True 
 B)False

Question 14

Standardization converts scores into?

Accepted Answer

A) t-scores 
B) r-scores 
C) z-scores 
D) p-scores 
A) t-scores 
B) r-scores 
C) z-scores 
D) p-scores

Question 15

It is recommended that the means of the two predictors are made equal to?

Accepted Answer

A) 0 
B) 1 
C) The median 
D) The variance 
A) 0 
B) 1 
C) The median 
D) The variance

Question 16

The population parameter is the centre of a confidence interval.

Accepted Answer

A) True 
 B)False

Question 17

The means of the two predictors are centred in order to increase the size of the correlation between the criterion variables.

Accepted Answer

A) True 
 B)False

Question 18

Chi-square is used to identify interaction effects when the predictor and moderator variables are nominal and the dependent variable is a score variable.

Accepted Answer

A) True 
 B)False

Question 19

Categorical variables are the same as qualitative variables.

Accepted Answer

A) True 
 B)False

Question 20

Which test would identify interaction effects and indicate moderation effects?

Accepted Answer

A) Simple regression 
B) Binomial logistic regression 
C) Multiple linear regression 
D) Hierarchical multiple regression 
A) Simple regression 
B) Binomial logistic regression 
C) Multiple linear regression 
D) Hierarchical multiple regression

Exam 11: Moderation,mediation and Multicategory Predictors

Which of the following should equal 0 for both predictors?

What would the moderator variable be?

If you ask one student to toss a coin three times,what is the probability that it lands heads once?

At which stage are the two predictors entered in hierarchical multiple regression?

What is the dependent variable?

Categorical variables are the same as quantitative variables.

What is the mediator variable?

What is the dependent variable?

A moderator effect is indicated if both predictors explain a significant proportion of the variance in the criterion variable.

Quantitative variables can be continuous variables.

You are conducting a study into student attendance at lectures and overall degree grade and whether the grade is moderated by whether or not the lecturer has a PhD.Which is the predictor variable?

What is the moderator variable?

An increase in multicollinearity ensures that the likelihood of a moderation effect being identified is decreased.

Standardization converts scores into?

It is recommended that the means of the two predictors are made equal to?

The population parameter is the centre of a confidence interval.

The means of the two predictors are centred in order to increase the size of the correlation between the criterion variables.

Chi-square is used to identify interaction effects when the predictor and moderator variables are nominal and the dependent variable is a score variable.

Categorical variables are the same as qualitative variables.

Which test would identify interaction effects and indicate moderation effects?

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing

Comparing Several Means

Analysis of Covariance

Factorial Anova

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Logistic Regression

Multilevel Linear Models

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