Question 1

If we wanted to create a scatterplot for the significant finding for our continuous predictor variable, then how should we do this?

Accepted Answer

A)  The predictor variable on the x axis, and the predicted outcome probability on the y axis 
B)  The predictor variable on the x axis, and the actual outcome variable on the y axis 
C)  The predicted outcome probability on the x axis, and the actual outcome variable on the y axis 
D)  The predictor variable on the x axis, and the predicted outcome residual on the y axis 
A)  The predictor variable on the x axis, and the predicted outcome probability on the y axis 
B)  The predictor variable on the x axis, and the actual outcome variable on the y axis 
C)  The predicted outcome probability on the x axis, and the actual outcome variable on the y axis 
D)  The predictor variable on the x axis, and the predicted outcome residual on the y axis A

Question 2

If we wanted to explore the association between gender and having a criminal record, what would be the most appropriate analysis?

Accepted Answer

A)  Logistic regression 
B)  Chi-square 
C)  Multiple regression 
D)  Pearson correlation 
A)  Logistic regression 
B)  Chi-square 
C)  Multiple regression 
D)  Pearson correlation B

Question 3

How much variance is explained in the final model (Block 1)?

Accepted Answer

A)  126.147 
B)  12.322 
C)  .116 
D)  .006 
A)  126.147 
B)  12.322 
C)  .116 
D)  .006 C

Question 4

If we are looking to explore what predicts being a smoker (0 = non-smoker, 1 = smoker) and the model assigns an individual with the predicted value of 0.73, then what does this mean?

Accepted Answer

A)  The model cannot predict whether this individual is a smoker or a non-smoker. 
B)  The model predicts that the individual has a 73% chance of being a non-smoker. 
C)  The model predicts that this individual is a smoker who has a good chance of giving up smoking. 
D)  The model predicts that the individual has a 73% chance of being a smoker. 
A)  The model cannot predict whether this individual is a smoker or a non-smoker. 
B)  The model predicts that the individual has a 73% chance of being a non-smoker. 
C)  The model predicts that this individual is a smoker who has a good chance of giving up smoking. 
D)  The model predicts that the individual has a 73% chance of being a smoker.

Question 5

In a chi-square analysis, the residual statistic tells you…

Accepted Answer

A)  the amount of error variance in the model. 
B)  the number of outliers in the model. 
C)  the difference between the expected number of cases and actual cases. 
D)  whether the data is normally distributed. 
A)  the amount of error variance in the model. 
B)  the number of outliers in the model. 
C)  the difference between the expected number of cases and actual cases. 
D)  whether the data is normally distributed.

Question 6

In the logistic regression output, what does the classification table tell us?

Accepted Answer

A)  The descriptive statistics 
B)  The assumptions 
C)  Whether the model is significant 
D)  How the model allocated cases and the amount of cases it correctly allocated 
A)  The descriptive statistics 
B)  The assumptions 
C)  Whether the model is significant 
D)  How the model allocated cases and the amount of cases it correctly allocated

Question 7

In the second worksheet exercise, what is the significance of Block 1?

Accepted Answer

A)  .006 
B)  .923 
C)  .009 
D)  .689 
A)  .006 
B)  .923 
C)  .009 
D)  .689

Question 8

When graphing continuous predictors and predicted probabilities, what should a good predicting model look like?

Accepted Answer

A)  A linear line 
B)  Stepped 
C)  A u-shaped curve 
D)  A flat line 
A)  A linear line 
B)  Stepped 
C)  A u-shaped curve 
D)  A flat line

Question 9

Which statistic can interpret the direction of any significant predictors?

Accepted Answer

A)  Wald 
B)  β 
C)  Cox & Snell 
D)  p value 
A)  Wald 
B)  β 
C)  Cox & Snell 
D)  p value

Question 10

What is the significance of the "barrier condition" predictor variable?

Accepted Answer

A)  .011 
B)  .026 
C)  .320 
D)  .078 
A)  .011 
B)  .026 
C)  .320 
D)  .078

Question 11

In the second worksheet exercise, what is the significance of Block 0?

Accepted Answer

A)  .923 
B)  .009 
C)  .006 
D)  .689 
A)  .923 
B)  .009 
C)  .006 
D)  .689

Question 12

What does the Cox & Snell statistic tell you?

Accepted Answer

A)  Whether the model is a significant predictor of the outcome variable 
B)  The amount of estimated variance in the outcome variable that the model explains 
C)  Whether there is multicollinearity in the model 
D)  Whether the residuals are normally distributed 
A)  Whether the model is a significant predictor of the outcome variable 
B)  The amount of estimated variance in the outcome variable that the model explains 
C)  Whether there is multicollinearity in the model 
D)  Whether the residuals are normally distributed

Question 13

In a logistic regression output, what does 'block 0' refer to?

Accepted Answer

A)  How well the control variable model predicts the outcome variable 
B)  How well the predictor variable model predicts the outcome variable 
C)  Whether the model has met the assumptions 
D)  How well a random model predicts the outcome variable 
A)  How well the control variable model predicts the outcome variable 
B)  How well the predictor variable model predicts the outcome variable 
C)  Whether the model has met the assumptions 
D)  How well a random model predicts the outcome variable

Question 14

Which of the following is true about logistic regressions?

Accepted Answer

A)  It is a method to test for causality in correlational designs. 
B)  It is a method of extracting the strongest predictor variables. 
C)  It is a method to analyse a binary outcome variable. 
D)  It is a way to assess interactions in regressions. 
A)  It is a method to test for causality in correlational designs. 
B)  It is a method of extracting the strongest predictor variables. 
C)  It is a method to analyse a binary outcome variable. 
D)  It is a way to assess interactions in regressions.

Question 15

In the first worksheet exercise, what was the chi square value?

Accepted Answer

A)  .016 
B)  1 
C)  5.769 
D)  4.848 
A)  .016 
B)  1 
C)  5.769 
D)  4.848

Exam 18: Logistic Regression

If we wanted to create a scatterplot for the significant finding for our continuous predictor variable, then how should we do this?

If we wanted to explore the association between gender and having a criminal record, what would be the most appropriate analysis?

How much variance is explained in the final model (Block 1)?

If we are looking to explore what predicts being a smoker (0 = non-smoker, 1 = smoker) and the model assigns an individual with the predicted value of 0.73, then what does this mean?

In a chi-square analysis, the residual statistic tells you…

In the logistic regression output, what does the classification table tell us?

In the second worksheet exercise, what is the significance of Block 1?

When graphing continuous predictors and predicted probabilities, what should a good predicting model look like?

Which statistic can interpret the direction of any significant predictors?

What is the significance of the "barrier condition" predictor variable?

In the second worksheet exercise, what is the significance of Block 0?

What does the Cox & Snell statistic tell you?

In a logistic regression output, what does 'block 0' refer to?

Which of the following is true about logistic regressions?

In the first worksheet exercise, what was the chi square value?

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

Correlational Design

Correlations

Multiple Regression

Hierarchical 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

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