Question 1

All other designs are essentially variations on the A-B design, adding or subtracting observation and/or intervention phases.

Accepted Answer

A) True 
 B)False  True

Question 2

According to the text, the design B-C-D-E-F would be considered .

Accepted Answer

A)  a case study 
B)  a successive intervention design 
C)  a repeat-of-interventions design 
D)  none of the above 
A)  a case study 
B)  a successive intervention design 
C)  a repeat-of-interventions design 
D)  none of the above A

Question 3

The A-B design can determine both change in client behavior and whether the intervention caused that change.

Accepted Answer

A) True 
 B)False  False

Question 4

The A-B design:

Accepted Answer

A)  Provides clear information on the changes in the problem 
B)  Provides clear information on why the problem changed. 
C)  Both a and b 
D)  Neither a nor b 
A)  Provides clear information on the changes in the problem 
B)  Provides clear information on why the problem changed. 
C)  Both a and b 
D)  Neither a nor b

Question 5

When the "B" in an A-B consists of a package, the design allows you to determine which of the components is likely to have had the strongest effect.

Accepted Answer

A) True 
 B)False

Question 6

By adding or subtracting other intervention or observation phases to the A-B design, we literally can make any other design that we wish; however, when we make these additions and subtractions, we also change the logical basis for making statements about change and also causal inferences.

Accepted Answer

A) True 
 B)False

All other designs are essentially variations on the A-B design, adding or subtracting observation and/or intervention phases.

According to the text, the design B-C-D-E-F would be considered .

The A-B design can determine both change in client behavior and whether the intervention caused that change.

The A-B design:

When the "B" in an A-B consists of a package, the design allows you to determine which of the components is likely to have had the strongest effect.

By adding or subtracting other intervention or observation phases to the A-B design, we literally can make any other design that we wish; however, when we make these additions and subtractions, we also change the logical basis for making statements about change and also causal inferences.

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

The Experimental Single-System Designs: A-B-A, A-B-A-B, B-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 13: From the Case Study to the Basic Single-System Design: A-B

All other designs are essentially variations on the A-B design, adding or subtracting observation and/or intervention phases.

According to the text, the design B-C-D-E-F would be considered .

The A-B design can determine both change in client behavior and whether the intervention caused that change.

The A-B design:

When the "B" in an A-B consists of a package, the design allows you to determine which of the components is likely to have had the strongest effect.

By adding or subtracting other intervention or observation phases to the A-B design, we literally can make any other design that we wish; however, when we make these additions and subtractions, we also change the logical basis for making statements about change and also causal inferences.

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

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