Question 1

Carryover effects are always the same as irreversibility.

Accepted Answer

A) True 
 B)False  False

Question 2

A practitioner removes a successful intervention because he/she wishes to test a research hypothesis about causality, which requires that an experimental removal take place.

Accepted Answer

A) True 
 B)False  True

Question 3

A design that turns out to be A-B-A-B-A-B also is an experimental removal design, and thereby offers the logical basis for inferring causality.

Accepted Answer

A) True 
 B)False  True

Question 4

The experimental design that would probably be most suited for emergency situations would be:

Accepted Answer

A)  A-B-A 
B)  A-B-A-B 
C)  B-A-B 
A)  A-B-A 
B)  A-B-A-B 
C)  B-A-B

Question 5

I applied my intervention in the third phase to Angelina's walking instead of her sitting still. This design is most precisely called:

Accepted Answer

A)  Removal 
B)  Withdrawal 
C)  Reversal 
D)  Experimental 
A)  Removal 
B)  Withdrawal 
C)  Reversal 
D)  Experimental

Question 6

Use of an A-B-A-B design can unequivocally prove that it was your specific technique that produced the changes.

Accepted Answer

A) True 
 B)False

Question 7

A design that turns out to be B-A is not an experimental removal design, and it cannot claim any logical basis for inferring causality.

Accepted Answer

A) True 
 B)False

Question 8

The major factor determining when to change phases is:

Accepted Answer

A)  Length of phases 
B)  Stability in the data 
C)  Carryover effects 
D)  None of the above 
A)  Length of phases 
B)  Stability in the data 
C)  Carryover effects 
D)  None of the above

Question 9

The A-B-A-B design tends to protect from the following threat or threats to internal validity:

Accepted Answer

A)  History 
B)  Maturation 
C)  Testing 
D)  All of the above 
E)  None of the above 
A)  History 
B)  Maturation 
C)  Testing 
D)  All of the above 
E)  None of the above

Question 10

A major reason for using the B-A-B design is that one can begin to work with the problem immediately and still have a logical basis for determining both change and possible causality.

Accepted Answer

A) True 
 B)False

Question 11

In an experimental removal design, the practitioner has to have a B intervention that attains positive improvement (in comparison with the baseline data) before removing that B and returning to an A condition (baseline).

Accepted Answer

A) True 
 B)False

Question 12

The main thing carryover effects do when they are present is:

Accepted Answer

A)  Clarify causality exists 
B)  Decrease stability 
C)  Demonstrate reversibility 
D)  None of the above 
A)  Clarify causality exists 
B)  Decrease stability 
C)  Demonstrate reversibility 
D)  None of the above

Carryover effects are always the same as irreversibility.

A practitioner removes a successful intervention because he/she wishes to test a research hypothesis about causality, which requires that an experimental removal take place.

A design that turns out to be A-B-A-B-A-B also is an experimental removal design, and thereby offers the logical basis for inferring causality.

The experimental design that would probably be most suited for emergency situations would be:

I applied my intervention in the third phase to Angelina's walking instead of her sitting still. This design is most precisely called:

Use of an A-B-A-B design can unequivocally prove that it was your specific technique that produced the changes.

A design that turns out to be B-A is not an experimental removal design, and it cannot claim any logical basis for inferring causality.

The major factor determining when to change phases is:

The A-B-A-B design tends to protect from the following threat or threats to internal validity:

A major reason for using the B-A-B design is that one can begin to work with the problem immediately and still have a logical basis for determining both change and possible causality.

In an experimental removal design, the practitioner has to have a B intervention that attains positive improvement (in comparison with the baseline data) before removing that B and returning to an A condition (baseline).

The main thing carryover effects do when they are present is:

Integrating Evaluation and Practice: Introduction to

Basic Principles of Conceptualization and Measurement

Specifying Problems and Goals: Targets of Intervention

Developing a Measurement and Recording Plan

Behavioral Observation

Individualized Rating Scales

Standardized Scales

Logs

Reactivity and Non-Reactive Measures

Selecting a Measure

Basic Principles of Single-System Designs

Baselining: Collecting Information Before Intervention

From the Case Study to the Basic Single-System Design: A-B

Multiple Designs for Single Systems: Baselines, Targets, Crossovers, and Series

Changing Intensity Designs and Successive Intervention Designs

Designs for Comparing Interventions

Selecting a Design

Basic Principles of Analysis

Visual Analysis of Single-System Design Data

Descriptive Statistics

Tests of Statistical Significance for Single-System Designs

Selecting a Procedure for Analyzing Data

Not for Practitioners Alone: Evaluation for Clients, Administrators, Educators, and Students

Filters

Exam 14: The Experimental Single-System Designs: A-B-A, A-B-A-B, B-A-B

Carryover effects are always the same as irreversibility.

A practitioner removes a successful intervention because he/she wishes to test a research hypothesis about causality, which requires that an experimental removal take place.

A design that turns out to be A-B-A-B-A-B also is an experimental removal design, and thereby offers the logical basis for inferring causality.

The experimental design that would probably be most suited for emergency situations would be:

I applied my intervention in the third phase to Angelina's walking instead of her sitting still. This design is most precisely called:

Use of an A-B-A-B design can unequivocally prove that it was your specific technique that produced the changes.

A design that turns out to be B-A is not an experimental removal design, and it cannot claim any logical basis for inferring causality.

The major factor determining when to change phases is:

The A-B-A-B design tends to protect from the following threat or threats to internal validity:

A major reason for using the B-A-B design is that one can begin to work with the problem immediately and still have a logical basis for determining both change and possible causality.

In an experimental removal design, the practitioner has to have a B intervention that attains positive improvement (in comparison with the baseline data) before removing that B and returning to an A condition (baseline).

The main thing carryover effects do when they are present is:

Integrating Evaluation and Practice: Introduction to

Basic Principles of Conceptualization and Measurement

Specifying Problems and Goals: Targets of Intervention

Developing a Measurement and Recording Plan

Behavioral Observation

Individualized Rating Scales

Standardized Scales

Logs

Reactivity and Non-Reactive Measures

Selecting a Measure

Basic Principles of Single-System Designs

Baselining: Collecting Information Before Intervention

From the Case Study to the Basic Single-System Design: A-B

Multiple Designs for Single Systems: Baselines, Targets, Crossovers, and Series

Changing Intensity Designs and Successive Intervention Designs

Designs for Comparing Interventions

Selecting a Design

Basic Principles of Analysis

Visual Analysis of Single-System Design Data

Descriptive Statistics

Tests of Statistical Significance for Single-System Designs

Selecting a Procedure for Analyzing Data

Not for Practitioners Alone: Evaluation for Clients, Administrators, Educators, and Students

Filters