Exam 10: Measurement and Descriptive Statistics

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Match the example with the scale of measurement. Use above choices. -Barbie Doll's scale of "zippiness" rates people from 1 = "strongly disagree" a) to 5 = "strongly agree." This scale is:

(Multiple Choice)

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Question 21

What are the properties of the normal curve?

(Essay)

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Question 22

Researchers should use statistics that are consistent with the data's level of measurement.

(True/False)

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Question 23

A researcher wanted to know how many red or white or blue shirts were worn at the 16^th street mall in Denver on the 4^th of July. What type of scale did the researcher use?

(Multiple Choice)

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Question 24

Give an example of a nominal, dichotomous, ordinal, and normal variables.

(Essay)

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Question 25

Nominal variables and dichotomous variables are always treated the same.

(True/False)

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Question 26

There is a high probability that values will fall outside two standard deviations of a normal curve's mean.

(True/False)

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Question 27

Match the scale of measurement with the variable. You may use the same scale of measurement more than once. -Weight (e.g., 2.2 lbs or 180 lbs).

(Multiple Choice)

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Question 28

Match the scale of measurement with the variable. You may use the same scale of measurement more than once. -Percentile rank in high school.

(Multiple Choice)

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Question 29

All normal curves can be converted to standard normal curves by setting the mean at 0 and the standard deviation at 1.

(True/False)

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Question 30

Different statistics are required for variables with normal scales.

(True/False)

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Question 31

The following is/are true for the nominal level of measurement:

(Multiple Choice)

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Question 32

The following is/are true for the ordinal level of measurement:

(Multiple Choice)

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Question 33

Showing 21 - 33 of 33

Match the example with the scale of measurement. Use above choices. -Barbie Doll's scale of "zippiness" rates people from 1 = "strongly disagree" a) to 5 = "strongly agree." This scale is:

What are the properties of the normal curve?

Researchers should use statistics that are consistent with the data's level of measurement.

A researcher wanted to know how many red or white or blue shirts were worn at the 16^th street mall in Denver on the 4^th of July. What type of scale did the researcher use?

Give an example of a nominal, dichotomous, ordinal, and normal variables.

Nominal variables and dichotomous variables are always treated the same.

There is a high probability that values will fall outside two standard deviations of a normal curve's mean.

Match the scale of measurement with the variable. You may use the same scale of measurement more than once. -Weight (e.g., 2.2 lbs or 180 lbs).

Match the scale of measurement with the variable. You may use the same scale of measurement more than once. -Percentile rank in high school.

All normal curves can be converted to standard normal curves by setting the mean at 0 and the standard deviation at 1.

Different statistics are required for variables with normal scales.

The following is/are true for the nominal level of measurement:

The following is/are true for the ordinal level of measurement:

Definitions, Purposes, and Dimensions of Research

Planning a Quantitative Research Project

Variables, Research Questions, and Hypotheses

Research Approaches

Randomized Experimental and Quasi-Experimental Designs

Single-Subject Designs

Nonexperimental Approachesdesigns

Internal Validity

Sampling and Introduction to External Validity

Measurement Reliability

Measurement Validity

Types of Data Collection Techniques

Ethical Issues in Conducting the Study

Practical Issues in Data Collection and Coding

Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach

Making Inferences From Sample Data II: the Evidence-Based Approach

General Design Classifications for Selection of Difference Statistical Methods

Selection of Appropriate Statistical Methods: Integration of Design and Analysis

Data Analysis and Interpretation: Basic Difference Questions

Analysis and Interpretation of Basic Associational Research Questions

Analysis and Interpretation of Complex Research Questions

Evaluating Research Validity: Part I

Evaluating Research Validity: Part II

Evaluating Research for Evidence-Based Practice

Writing the Research Report

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Exam 10: Measurement and Descriptive Statistics

Match the example with the scale of measurement. Use above choices. -Barbie Doll's scale of "zippiness" rates people from 1 = "strongly disagree" a) to 5 = "strongly agree." This scale is:

What are the properties of the normal curve?

Researchers should use statistics that are consistent with the data's level of measurement.

A researcher wanted to know how many red or white or blue shirts were worn at the 16th street mall in Denver on the 4th of July. What type of scale did the researcher use?

Give an example of a nominal, dichotomous, ordinal, and normal variables.

Nominal variables and dichotomous variables are always treated the same.

There is a high probability that values will fall outside two standard deviations of a normal curve's mean.

Match the scale of measurement with the variable. You may use the same scale of measurement more than once. -Weight (e.g., 2.2 lbs or 180 lbs).

Match the scale of measurement with the variable. You may use the same scale of measurement more than once. -Percentile rank in high school.

All normal curves can be converted to standard normal curves by setting the mean at 0 and the standard deviation at 1.

Different statistics are required for variables with normal scales.

The following is/are true for the nominal level of measurement:

The following is/are true for the ordinal level of measurement:

Definitions, Purposes, and Dimensions of Research

Planning a Quantitative Research Project

Variables, Research Questions, and Hypotheses

Research Approaches

Randomized Experimental and Quasi-Experimental Designs

Single-Subject Designs

Nonexperimental Approachesdesigns

Internal Validity

Sampling and Introduction to External Validity

Measurement Reliability

Measurement Validity

Types of Data Collection Techniques

Ethical Issues in Conducting the Study

Practical Issues in Data Collection and Coding

Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach

Making Inferences From Sample Data II: the Evidence-Based Approach

General Design Classifications for Selection of Difference Statistical Methods

Selection of Appropriate Statistical Methods: Integration of Design and Analysis

Data Analysis and Interpretation: Basic Difference Questions

Analysis and Interpretation of Basic Associational Research Questions

Analysis and Interpretation of Complex Research Questions

Evaluating Research Validity: Part I

Evaluating Research Validity: Part II

Evaluating Research for Evidence-Based Practice

Writing the Research Report

Filters

A researcher wanted to know how many red or white or blue shirts were worn at the 16^th street mall in Denver on the 4^th of July. What type of scale did the researcher use?