Question 1

Which procedure is not suitable for interpreting interaction effects statistically?

Accepted Answer

A)  Bonferroni corrections of paired t-tests 
B)  Paired t-tests without correction 
C)  Simple effects 
D)  Tukey's HSD 
A)  Bonferroni corrections of paired t-tests 
B)  Paired t-tests without correction 
C)  Simple effects 
D)  Tukey's HSD

Question 2

Why is Levene's test a useful test for factorial ANOVA?

Accepted Answer

A)  It looks to see if there are any significant differences within group variables. 
B)  It looks to see if there are any significant differences within group variances. 
C)  It looks to see if there are any significant differences between group variances. 
D)  None of the above. 
A)  It looks to see if there are any significant differences within group variables. 
B)  It looks to see if there are any significant differences within group variances. 
C)  It looks to see if there are any significant differences between group variances. 
D)  None of the above.

Question 3

Which of the following is not a problem which post hoc comparisons need to correct for?

Accepted Answer

A)  Familywise error rates 
B)  Per comparison error rates 
C)  Sibling error rates 
D)  Experimentwise error rates 
A)  Familywise error rates 
B)  Per comparison error rates 
C)  Sibling error rates 
D)  Experimentwise error rates

Question 4

A study undertaken by an unknown author in 2000 investigated 'factors influencing sense of personal control among elderly rural women' (source: http:/ / bama.ua.edu/ ~jleeper/ 627/ project1.doc).If there was an interaction evident, what further test could be performed?   Source: http:/ / bama.ua.edu/ ~jleeper/ 627/ project1.doc

Accepted Answer

A)  Between-subject effects test 
B)  Contrast estimate 
C)  One-way ANOVA 
D)  Post hoc analysis 
A)  Between-subject effects test 
B)  Contrast estimate 
C)  One-way ANOVA 
D)  Post hoc analysis

Which procedure is not suitable for interpreting interaction effects statistically?

Why is Levene's test a useful test for factorial ANOVA?

Which of the following is not a problem which post hoc comparisons need to correct for?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

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 Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 14: Glm 3: Factorial Designs

Which procedure is not suitable for interpreting interaction effects statistically?

Why is Levene's test a useful test for factorial ANOVA?

Which of the following is not a problem which post hoc comparisons need to correct for?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

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 Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters