Question 1

Spearman's rho is appropriate for use with

Accepted Answer

A) continuous ordinal variables 
B) variables whose categories have been collapsed 
C) tables larger than 2x2 
D) negative relationships only 
A) continuous ordinal variables 
B) variables whose categories have been collapsed 
C) tables larger than 2x2 
D) negative relationships only

Question 2

Like lambda and gamma,Spearman's rho can be interpreted by the logic of

Accepted Answer

A) proportional reduction in error. 
B) hypothesis sorting. 
C) critical ranking analysis. 
D) semi-proportionate elliptical probing. 
A) proportional reduction in error. 
B) hypothesis sorting. 
C) critical ranking analysis. 
D) semi-proportionate elliptical probing.

Question 3

To compute Spearman's rho,we

Accepted Answer

A) rank the scores from each variable from high to low. 
B) take the difference between each score and the mean. 
C) estimate the mean rank squared. 
D) ignore all tied scores. 
A) rank the scores from each variable from high to low. 
B) take the difference between each score and the mean. 
C) estimate the mean rank squared. 
D) ignore all tied scores.

Question 4

Gamma measures the proportional reduction in error when predicting

Accepted Answer

A) the order of pairs of cases on one variable. 
B) the order of pairs of cases on both variables. 
C) the order of a pair of cases on one variable with knowledge of the order of the pair on the other variable. 
D) none of these 
A) the order of pairs of cases on one variable. 
B) the order of pairs of cases on both variables. 
C) the order of a pair of cases on one variable with knowledge of the order of the pair on the other variable. 
D) none of these

Question 5

Gamma is an appropriate measure of association for

Accepted Answer

A) examining the relationships between more than two ordinal-level variables. 
B) nominal-level variables with more than 3 scores. 
C) ordinal level variables arranged in a bivariate table. 
D) ordinal level variables with many scores. 
A) examining the relationships between more than two ordinal-level variables. 
B) nominal-level variables with more than 3 scores. 
C) ordinal level variables arranged in a bivariate table. 
D) ordinal level variables with many scores.

Spearman's rho is appropriate for use with

Like lambda and gamma,Spearman's rho can be interpreted by the logic of

To compute Spearman's rho,we

Gamma measures the proportional reduction in error when predicting

Gamma is an appropriate measure of association for

Introduction

Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 13: Association Between Variables Measured at the Ordinal Level

Spearman's rho is appropriate for use with

Like lambda and gamma,Spearman's rho can be interpreted by the logic of

To compute Spearman's rho,we

Gamma measures the proportional reduction in error when predicting

Gamma is an appropriate measure of association for

Introduction

Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and Multiple Regression and Correlation

Filters