Question 1

The pattern of this chart shows:

Accepted Answer

A)  Change in slope 
B)  Drift and change in level 
C)  No change in level but change in slope 
D)  None of the above. 
A)  Change in slope 
B)  Drift and change in level 
C)  No change in level but change in slope 
D)  None of the above. B

Question 2

Visual analysis of data is particularly reliable because one does not have to be concerned about the possibility of autocorrelation.

Accepted Answer

A) True 
 B)False  False

Question 3

The pattern of this chart shows:

Accepted Answer

A)  Change in slope, no change in trend across phases 
B)  Drift and change in level 
C)  Change in slope, change in level 
D)  None of the above 
A)  Change in slope, no change in trend across phases 
B)  Drift and change in level 
C)  Change in slope, change in level 
D)  None of the above A

Question 4

Can you have a stable trend if the line made up of linked data points is continuously up and down? Draw a diagram indicating your answer.

Accepted Answer

A) True 
 B)False

Question 5

Trend across phases is called:

Accepted Answer

A)  Variability 
B)  Slope 
C)  Drift 
D)  None of the above 
A)  Variability 
B)  Slope 
C)  Drift 
D)  None of the above

Question 6

Directionality in the data-whether within or across phases-is called slope.

Accepted Answer

A) True 
 B)False

Question 7

What do you make of a situation where the client's behavior changes from bad to good to bad during baseline? Should you start the intervention with a sense of stability, if curvilinear, behaviors?

Accepted Answer

A) True 
 B)False

The pattern of this chart shows:

Visual analysis of data is particularly reliable because one does not have to be concerned about the possibility of autocorrelation.

The pattern of this chart shows:

Can you have a stable trend if the line made up of linked data points is continuously up and down? Draw a diagram indicating your answer.

Trend across phases is called:

Directionality in the data-whether within or across phases-is called slope.

What do you make of a situation where the client's behavior changes from bad to good to bad during baseline? Should you start the intervention with a sense of stability, if curvilinear, behaviors?

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

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

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 20: Visual Analysis of Single-System Design Data

The pattern of this chart shows:

Visual analysis of data is particularly reliable because one does not have to be concerned about the possibility of autocorrelation.

The pattern of this chart shows:

Can you have a stable trend if the line made up of linked data points is continuously up and down? Draw a diagram indicating your answer.

Trend across phases is called:

Directionality in the data-whether within or across phases-is called slope.

What do you make of a situation where the client's behavior changes from bad to good to bad during baseline? Should you start the intervention with a sense of stability, if curvilinear, behaviors?

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

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

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