Question 1

What data transformations are necessary before loglinear analysis?

Accepted Answer

A)  Data reduction 
B)  Logarithmic 
C)  Linear regression 
D)  Summary statistics 
A)  Data reduction 
B)  Logarithmic 
C)  Linear regression 
D)  Summary statistics

Question 2

Which of the following is not an assumption of loglinear analysis?

Accepted Answer

A)  An entity should fall into only one cell of the contingency table. 
B)  Expected frequencies should be large enough for a reliable analysis. 
C)  If there are two variables 20% of cells must have frequencies less than 1. 
D)  Collapsed data need to have a non-significant highest-order interaction. 
A)  An entity should fall into only one cell of the contingency table. 
B)  Expected frequencies should be large enough for a reliable analysis. 
C)  If there are two variables 20% of cells must have frequencies less than 1. 
D)  Collapsed data need to have a non-significant highest-order interaction.

Question 3

When testing several categorical variables, which is the appropriate test of relationship?

Accepted Answer

A)  Chi-square 
B)  Elaborated chi-square 
C)  Part correlation 
D)  Loglinear analysis 
A)  Chi-square 
B)  Elaborated chi-square 
C)  Part correlation 
D)  Loglinear analysis

Question 4

Which of the following are not examples of assumptions for the chi-square statistic?

Accepted Answer

A)  Each entity contributes to only one cell of the contingency table. 
B)  Expected frequency should be less than 5. 
C)  It does not rely on having continuous normally-distributed data. 
D)  None of the above. 
A)  Each entity contributes to only one cell of the contingency table. 
B)  Expected frequency should be less than 5. 
C)  It does not rely on having continuous normally-distributed data. 
D)  None of the above.

What data transformations are necessary before loglinear analysis?

Which of the following is not an assumption of loglinear analysis?

When testing several categorical variables, which is the appropriate test of relationship?

Which of the following are not examples of assumptions for the chi-square statistic?

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

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

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

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 19: Categorical Outcomes: Chi-Square and Loglinear Analysis

What data transformations are necessary before loglinear analysis?

Which of the following is not an assumption of loglinear analysis?

When testing several categorical variables, which is the appropriate test of relationship?

Which of the following are not examples of assumptions for the chi-square statistic?

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

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

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

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters