Exam 8: Experimental Designs: Between Subjects Design.

Describe some of the problems that can develop if participants from different treatment conditions have an opportunity to talk with each other during the course of the experiment.

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Question 1

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If participants in a no-treatment condition talk with participants in a treatment condition they may learn about the treatment and adopt some of the treatment components.This leads to diffusion of treatment.If participants in an inferior condition learn about a superior treatment being received by others,they may demand equal treatment (compensatory equalization),they may become extra motivated to make up for the inferior treatment (compensatory rivalry),or they may give up in the face of a hopeless situation (resentful demoralization).

If a between-subjects experiment produces 50 scores in treatment 1 and 50 scores in treatment 2,then the experiment must have employed ____.

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Question 2

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Matching a variable across treatment guarantees that the variable cannot become a confounding variable.

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Question 3

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Describe the basic characteristics of a between-subjects experiment.

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Question 4

A design that compares different groups of scores obtained from separate groups of participants is a ____ design.

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Question 5

In a between-subjects experiment,increasing the variance within treatments increases the likelihood of finding significant differences between treatments.

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Question 6

A between-subjects design differs from a within-subjects design in that in a between-subjects design,____.

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Question 7

Describe the advantages and disadvantages of holding a participant characteristic constant in a between-subjects experiment.

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Question 8

Random assignment guarantees that participant characteristics do not become a confounding variable.

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Question 9

A between-subjects experiment comparing four treatment conditions produces 20 scores in each treatment condition.How many individuals participated in the entire experiment?

(Multiple Choice)

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Question 10

Standardizing procedures,standardizing treatment settings,and limiting individual differences all have the effect of ____.

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Question 11

In a between-subjects design,individual differences (participant variables)are a problem because they can ____.

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Question 12

What is one risk in a study,whether or not participants in different groups are able to communicate with each other?

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Question 13

What is the most common statistical analysis for a single-factor two-group design?

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Question 14

Holding a variable constant guarantees that the variable cannot become a confounding variable.

(True/False)

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Question 15

Which approach is most effective in preventing confounding by participant characteristics?

(Multiple Choice)

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Question 16

When comparing means in a two-group design,which statistical analysis is most appropriate?

(Multiple Choice)

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Question 17

One characteristic of a between-subjects design is that the data consist of exactly one score for each participant.

(True/False)

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Question 18

A between-subjects experiment with 25 scores in treatment I and 25 scores in treatment II must have a total of 25 participants in the experiment.

(True/False)

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Question 19

Describe the advantages and disadvantages of matching groups of participants in a between-subjects experiment.

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Question 20

Showing 1 - 20 of 67

Describe some of the problems that can develop if participants from different treatment conditions have an opportunity to talk with each other during the course of the experiment.

If a between-subjects experiment produces 50 scores in treatment 1 and 50 scores in treatment 2,then the experiment must have employed ____.

Matching a variable across treatment guarantees that the variable cannot become a confounding variable.

Describe the basic characteristics of a between-subjects experiment.

A design that compares different groups of scores obtained from separate groups of participants is a ____ design.

In a between-subjects experiment,increasing the variance within treatments increases the likelihood of finding significant differences between treatments.

A between-subjects design differs from a within-subjects design in that in a between-subjects design,____.

Describe the advantages and disadvantages of holding a participant characteristic constant in a between-subjects experiment.

Random assignment guarantees that participant characteristics do not become a confounding variable.

A between-subjects experiment comparing four treatment conditions produces 20 scores in each treatment condition.How many individuals participated in the entire experiment?

Standardizing procedures,standardizing treatment settings,and limiting individual differences all have the effect of ____.

In a between-subjects design,individual differences (participant variables)are a problem because they can ____.

What is one risk in a study,whether or not participants in different groups are able to communicate with each other?

What is the most common statistical analysis for a single-factor two-group design?

Holding a variable constant guarantees that the variable cannot become a confounding variable.

Which approach is most effective in preventing confounding by participant characteristics?

When comparing means in a two-group design,which statistical analysis is most appropriate?

One characteristic of a between-subjects design is that the data consist of exactly one score for each participant.

A between-subjects experiment with 25 scores in treatment I and 25 scores in treatment II must have a total of 25 participants in the experiment.

Describe the advantages and disadvantages of matching groups of participants in a between-subjects experiment.

Introduction, Acquiring Knowledge, and the Scientific Method.

Research Ideas and Hypotheses.

Defining and Measuring Variables.

Ethics in Research.

Selecting Research Participants.

Research Strategies and Validity.

The Experimental Research Strategy.

Experimental Designs Within Subjects Design.

The Nonexperimental and Quasi-Experimental Strategies: Nonequivalent Group,Pre–Post,and Developmental Designs.

Factorial Designs.

The Correlational Research Strategy.

The Descriptive Research Strategy.

Single-Subject Research Designs.

Statistical Evaluation of Data.

Writing an APA-Style Research Report.

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Exam 8: Experimental Designs: Between Subjects Design.

Describe some of the problems that can develop if participants from different treatment conditions have an opportunity to talk with each other during the course of the experiment.​

If a between-subjects experiment produces 50 scores in treatment 1 and 50 scores in treatment 2,then the experiment must have employed ____.​

Matching a variable across treatment guarantees that the variable cannot become a confounding variable.​

Describe the basic characteristics of a between-subjects experiment.

A design that compares different groups of scores obtained from separate groups of participants is a ____ design.​

In a between-subjects experiment,increasing the variance within treatments increases the likelihood of finding significant differences between treatments.

A between-subjects design differs from a within-subjects design in that in a between-subjects design,____.​

Describe the advantages and disadvantages of holding a participant characteristic constant in a between-subjects experiment.

Random assignment guarantees that participant characteristics do not become a confounding variable.

A between-subjects experiment comparing four treatment conditions produces 20 scores in each treatment condition.How many individuals participated in the entire experiment?​

Standardizing procedures,standardizing treatment settings,and limiting individual differences all have the effect of ____.​

In a between-subjects design,individual differences (participant variables)are a problem because they can ____.

What is one risk in a study,whether or not participants in different groups are able to communicate with each other?

What is the most common statistical analysis for a single-factor two-group design?

Holding a variable constant guarantees that the variable cannot become a confounding variable.​

Which approach is most effective in preventing confounding by participant characteristics?​

When comparing means in a two-group design,which statistical analysis is most appropriate?​

One characteristic of a between-subjects design is that the data consist of exactly one score for each participant.​

A between-subjects experiment with 25 scores in treatment I and 25 scores in treatment II must have a total of 25 participants in the experiment.

Describe the advantages and disadvantages of matching groups of participants in a between-subjects experiment.

Introduction, Acquiring Knowledge, and the Scientific Method.

Research Ideas and Hypotheses.

Defining and Measuring Variables.

Ethics in Research.

Selecting Research Participants.

Research Strategies and Validity.

The Experimental Research Strategy.

Experimental Designs Within Subjects Design.

The Nonexperimental and Quasi-Experimental Strategies: Nonequivalent Group,Pre–Post,and Developmental Designs.

Factorial Designs.

The Correlational Research Strategy.

The Descriptive Research Strategy.

Single-Subject Research Designs.

Statistical Evaluation of Data.

Writing an APA-Style Research Report.

Filters

Describe some of the problems that can develop if participants from different treatment conditions have an opportunity to talk with each other during the course of the experiment.

If a between-subjects experiment produces 50 scores in treatment 1 and 50 scores in treatment 2,then the experiment must have employed ____.

Matching a variable across treatment guarantees that the variable cannot become a confounding variable.

A design that compares different groups of scores obtained from separate groups of participants is a ____ design.

A between-subjects design differs from a within-subjects design in that in a between-subjects design,____.

A between-subjects experiment comparing four treatment conditions produces 20 scores in each treatment condition.How many individuals participated in the entire experiment?

Standardizing procedures,standardizing treatment settings,and limiting individual differences all have the effect of ____.

Holding a variable constant guarantees that the variable cannot become a confounding variable.

Which approach is most effective in preventing confounding by participant characteristics?

When comparing means in a two-group design,which statistical analysis is most appropriate?

One characteristic of a between-subjects design is that the data consist of exactly one score for each participant.