Exam 22: Analysis and Interpretation of Complex Research Questions

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A researcher randomly assigned a group of children to either a treatment condition or a control group. All of the children filled out an assessment tool before and after the intervention. This is an example of what research approach:

(Multiple Choice)

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Question 21

Which of the following is true of hierarchical multiple regression?

(Multiple Choice)

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Question 22

Error variance is variability attributed to differences among individual participants.

(True/False)

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Question 23

The following pertain(s) to a pretest-posttest design:

(Multiple Choice)

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Question 24

When using a mixed ANOVA approach to analyze a pretest-posttest design, a significant main effect for the within-subjects IV could be due to the internal validity threat of maturation.

(True/False)

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Question 25

A 4 × 2 factorial design yields a significant interaction effect. How many individual cell means must be examined?

(Multiple Choice)

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Question 26

A significant "main effect" signifies a causal relationship: That the IV caused the DV.

(True/False)

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Question 27

Regression analyses are used to predict a criterion variable from several predictor variables.

(True/False)

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Question 28

What are the problems with using a stepwise linear regression?

(Essay)

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Question 29

A mixed ANOVA approach is used to analyze a pretest-posttest design. The following is/are true:

(Multiple Choice)

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Question 30

Which of the following are examples of a mixed factorial design?

(Multiple Choice)

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Question 31

Where there is more than one IV involved, the data should be graphed and examined.

(True/False)

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Question 32

Assume that the above researcher (in question 29) added gender, ethnicity (Caucasian vs other), and tobacco use (yes vs. no) as predictors. What type of analysis should be used?

(Multiple Choice)

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Question 33

Simple main effects analyses should be conducted when there is a significant interaction in an ANOVA Source Table.

(True/False)

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Question 34

The major difference between the two-factor ANOVA and the two-factor ANOVA with repeated measures on the second factor is that F values are calculated differently. The following is/are true:

(Multiple Choice)

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Question 35

A researcher is testing the effects of a new medication on men's baldness. Two baldness clinics are recruited for the study. One clinic group receives the medication and the other group receives a placebo. The researcher is concerned about the effects of age on outcomes and includes age as a second IV. The overall research approach is:

(Multiple Choice)

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Question 36

When using a gain score analysis for a pretest-posttest design, post hoc comparisons are never required.

(True/False)

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Question 37

A researcher is interested in studying the effects of amphetamine use and exercise on weight loss. The criterion variable is normally distributed. Amphetamine use and amount of exercise are both normally distributed. The research should use which statistic?

(Multiple Choice)

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Question 38

Regression coefficients need to be standardized or converted to z scores for comparisons among them.

(True/False)

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Question 39

What does a multiple R tell you?

(Essay)

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Question 40

Showing 21 - 40 of 62

Exam 22: Analysis and Interpretation of Complex Research Questions

A researcher randomly assigned a group of children to either a treatment condition or a control group. All of the children filled out an assessment tool before and after the intervention. This is an example of what research approach:

Which of the following is true of hierarchical multiple regression?

Error variance is variability attributed to differences among individual participants.

The following pertain(s) to a pretest-posttest design:

When using a mixed ANOVA approach to analyze a pretest-posttest design, a significant main effect for the within-subjects IV could be due to the internal validity threat of maturation.

A 4 × 2 factorial design yields a significant interaction effect. How many individual cell means must be examined?

A significant "main effect" signifies a causal relationship: That the IV caused the DV.

Regression analyses are used to predict a criterion variable from several predictor variables.

What are the problems with using a stepwise linear regression?

A mixed ANOVA approach is used to analyze a pretest-posttest design. The following is/are true:

Which of the following are examples of a mixed factorial design?

Where there is more than one IV involved, the data should be graphed and examined.

Assume that the above researcher (in question 29) added gender, ethnicity (Caucasian vs other), and tobacco use (yes vs. no) as predictors. What type of analysis should be used?

Simple main effects analyses should be conducted when there is a significant interaction in an ANOVA Source Table.

The major difference between the two-factor ANOVA and the two-factor ANOVA with repeated measures on the second factor is that F values are calculated differently. The following is/are true:

When using a gain score analysis for a pretest-posttest design, post hoc comparisons are never required.

A researcher is interested in studying the effects of amphetamine use and exercise on weight loss. The criterion variable is normally distributed. Amphetamine use and amount of exercise are both normally distributed. The research should use which statistic?

Regression coefficients need to be standardized or converted to z scores for comparisons among them.

What does a multiple R tell you?

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 and Descriptive Statistics

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

Evaluating Research Validity: Part I

Evaluating Research Validity: Part II

Evaluating Research for Evidence-Based Practice

Writing the Research Report

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