Question 1

Enumerate three distinctions you would make between qualitative and quantitative data. Illustrate these differences with an example.

Accepted Answer

Qualitative data and quantitative data a

Question 2

Credit risk of customers, classified as low, medium, and high, is an ordinal variable.

Accepted Answer

A) True 
 B)False

Question 3

Three random samples of height measures (in inches) of 10 students each were taken from height measures of a class of 30 students. The height measure of the 30 students were found to follow a normal distribution. The mean of each sample was calculated and the values were found to be very close to each other. What type of reliability does this test refer to?

Accepted Answer

A)  test-etest reliability 
B)  interitem reliability 
C)  interrater reliability 
D)  alternate forms reliability 
A)  test-etest reliability 
B)  interitem reliability 
C)  interrater reliability 
D)  alternate forms reliability

Question 4

Measures that capture each dimension of the concept under research fall under what type of validity?

Accepted Answer

A)  content validity 
B)  face validity 
C)  predictive validity 
D)  construct validity 
A)  content validity 
B)  face validity 
C)  predictive validity 
D)  construct validity

Question 5

What is a unit of observation?

Accepted Answer

A)  a defined measurement scale 
B)  a measurement variable 
C)  a level of aggregation 
D)  a row in a data table 
A)  a defined measurement scale 
B)  a measurement variable 
C)  a level of aggregation 
D)  a row in a data table

Question 6

A property and casualty insurance company wanted to categorize its policyholders into five risk categories. Which of the following steps taken by the company would constitute operationalizing the concept of risk classification?

Accepted Answer

A)  creating a team for the research 
B)  writing a plan to conduct research 
C)  creating a process to quantify risk 
D)  conducting a survey on risk measurement 
A)  creating a team for the research 
B)  writing a plan to conduct research 
C)  creating a process to quantify risk 
D)  conducting a survey on risk measurement

Question 7

The results of the last two annual compulsory health tests of an office were used to assess the health status of employees. What type of measurement validity does this indicate?

Accepted Answer

A)  construct validity 
B)  nominal validity 
C)  face validity 
D)  content validity 
A)  construct validity 
B)  nominal validity 
C)  face validity 
D)  content validity

Question 8

Which of the following gives the correct ascending precision order of measurement levels?

Accepted Answer

A)  interval, ordinal, ratio, nominal 
B)  nominal, ordinal, interval, ratio 
C)  nominal, interval, ordinal, ratio 
D)  interval, ratio, ordinal, nominal 
A)  interval, ordinal, ratio, nominal 
B)  nominal, ordinal, interval, ratio 
C)  nominal, interval, ordinal, ratio 
D)  interval, ratio, ordinal, nominal

Enumerate three distinctions you would make between qualitative and quantitative data. Illustrate these differences with an example.

Credit risk of customers, classified as low, medium, and high, is an ordinal variable.

Measures that capture each dimension of the concept under research fall under what type of validity?

What is a unit of observation?

A property and casualty insurance company wanted to categorize its policyholders into five risk categories. Which of the following steps taken by the company would constitute operationalizing the concept of risk classification?

The results of the last two annual compulsory health tests of an office were used to assess the health status of employees. What type of measurement validity does this indicate?

Which of the following gives the correct ascending precision order of measurement levels?

Introduction to Making Sense of Numbers

Foundational Concepts for Quantitative Research

Topic and Conceptualization

Context

Working With Tables

Working With Charts and Visualizations

Comparison Values, Contrast Sizes, and Standards

Numbers, Comparisons, and Calculations

Distributions and Associations

Bias

Causality

Uncertainty of Numeric Estimates

Communicating Quantitative Research

The Role of Research Methods in Making Sense of Numbers

Filters

Exam 4: Measurement

Enumerate three distinctions you would make between qualitative and quantitative data. Illustrate these differences with an example.

Credit risk of customers, classified as low, medium, and high, is an ordinal variable.

Measures that capture each dimension of the concept under research fall under what type of validity?

What is a unit of observation?

A property and casualty insurance company wanted to categorize its policyholders into five risk categories. Which of the following steps taken by the company would constitute operationalizing the concept of risk classification?

The results of the last two annual compulsory health tests of an office were used to assess the health status of employees. What type of measurement validity does this indicate?

Which of the following gives the correct ascending precision order of measurement levels?

Introduction to Making Sense of Numbers

Foundational Concepts for Quantitative Research

Topic and Conceptualization

Context

Working With Tables

Working With Charts and Visualizations

Comparison Values, Contrast Sizes, and Standards

Numbers, Comparisons, and Calculations

Distributions and Associations

Bias

Causality

Uncertainty of Numeric Estimates

Communicating Quantitative Research

The Role of Research Methods in Making Sense of Numbers

Filters