Exam 21: Descriptive Statistics

With the sophisticated measures of effect size presented in this chapter (the delta index, the d-index, the g-index, and the improvement rate difference), we have statistical formulae that provide the basis for asserting causality.

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Question 1

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False

Recent evidence shows the celeration line is particularly useful as a test of statistical significance.

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Question 2

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A regression line and a celeration line both measure the same type of trend, but the regression line is more precise because it uses more of the available information.

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Question 3

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The major indicator of a meta-analysis is its effect size.

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Question 4

A d-index of .00 shows the intervention had a negative effect.

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Question 5

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With the sophisticated measures of effect size presented in this chapter (the delta index, the d-index, the g-index, and the improvement rate difference), we have statistical formulae that provide the basis for asserting causality.

Recent evidence shows the celeration line is particularly useful as a test of statistical significance.

A regression line and a celeration line both measure the same type of trend, but the regression line is more precise because it uses more of the available information.

The major indicator of a meta-analysis is its effect size.

A d-index of .00 shows the intervention had a negative effect.

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

Visual Analysis of Single-System Design Data

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

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