Evaluating Practice: Guidelines for the Accountable Professional / Edition 6

Evaluating Practice: Guidelines for the Accountable Professional / Edition 6

by Martin Bloom, Joel Fischer, John G. Orme
     
 

Evaluating Practice continues to be the most comprehensive practice evaluation text available.

Focusing on single-system designs, Evaluating Practice, 6/e presents clear guidelines on conceptualizing and measuring problems, developing practice-oriented evaluation designs, understanding and analyzing data, and ethical guidelines for practice

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Overview

Evaluating Practice continues to be the most comprehensive practice evaluation text available.

Focusing on single-system designs, Evaluating Practice, 6/e presents clear guidelines on conceptualizing and measuring problems, developing practice-oriented evaluation designs, understanding and analyzing data, and ethical guidelines for practice evaluation.

Unsurpassed among human service evaluation texts for bringing clarity to evaluation procedures, Evaluating Practice comes with a free CD-ROM featuring numerous programs, including the innovative SINGWIN program for analyzing data (created by Charles Auerbach, David Schnall, and Heidi Heft Laporte of Yeshiva University), and the CASS and CAAP programs (created by Walter Hudson) for managing cases and scoring scales.

Product Details

ISBN-13:
9780205612017
Publisher:
Pearson
Publication date:
01/02/2009
Edition description:
New Edition
Pages:
640
Sales rank:
586,258
Product dimensions:
7.70(w) x 9.20(h) x 1.20(d)

Table of Contents

Preface

Prologue

Part I

What Are You Getting Into?

1 Integrating Evaluation and Practice

Introduction to Single-System Designs

What Are Single-System Designs?

Evidence-Based Practice

Single-System Designs and Classical Research: The Knowledge-Building Context

Single-System Evaluation, Qualitative Research, and Quantitative Research

Advantages of Using Single-System Designs in Practice

A Walk through the Evaluation Process

Summary

Part II

Conceptualizing and Measuring Targets and Objectives/Goals

2 Basic Principles of Conceptualization and Measurement

Introduction

What Is Conceptualization?

What Is Measurement?

Definition as a First Step in Measurement

Can Everything Be Measured?

Key Characteristics of All Measures

Summary

3 Specifying Problems and Goals

Introduction: From General Problems to Specific Targets of Intervention

Specifying Client Concerns: Identifying and Clarifying Problems and Potentials

Specifying Goals and Objectives

Using Goal Attainment Scaling (GAS) to Establish Goals

Setting Goals in Groups

Problems and Issues in Setting Goals

Summary

4 Developing a Measurement and Recording Plan

Introduction

Steps in Developing a Recording Plan

Charting: Putting Your Information on Graphs

Problem-Oriented Records (POR)

Use of Computers in Evaluation and Practice

Summary

Computer Assisted Social Services (CASS): A User’s Guide

Appendix: Installing CASS

5 Behavioral Observation

Introduction

General Guidelines for Behavioral Observation

Sampling Behaviors

Instruments for Recording Behaviors

Ensuring Accurate Observations

Methods of Recording Behavior

Analog Situations

Recording Behavior in Groups

Summary

6 Individualized Rating Scales

Introduction

Uses of Individualized Rating Scales

Constructing and Using Individualized Rating Scales

Summary

7 Standardized Scales

Introduction

What Are Standardized Scales?

Selecting a Standardized Scale

Administering a Standardized Scale

Some Available Standardized Self-Report Scales

Some Available Standardized Scales for Practitioners

Some Available Standardized Scales for Relevant Others

Some Available Standardized Scales for Independent Observers

Do-It-Yourself Scales

Using Standardized Scales in Groups

Computer Management of Standardized Scales

Summary

Appendix

Computer Assisted Assessment Package (CAAP): A User’s Guide


8 Logs

Introduction

Types of Client Logs

Putting Qualitative and Quantitative Information Together

Introducing Clients to Logs

Practitioner Logs

Maximizing and Verifying the Reliability and Validity of Logs

Summary

9 Reactivity and Nonreactive Measures

Introduction

Reactivity of Measures

Unobtrusive (Nonreactive) Measures

Summary


10 Selecting a Measure

Introduction

Considerations in Deciding on a Measure

Use of Multiple Measures

Selecting a Measure

Summary


Part III

Evaluation Designs

11 Basic Principles of Single-System Designs

Introduction

An Example Connecting Practice and Evaluation Designs

Purposes of Single-System Designs

Unique Characteristics of Single-System Designs

Causality in Single-System Designs

External Validity and Generalizability

Overview of Single-System Designs

Summary


12 Baselining

Introduction

Purposes of the Baseline

Types of Baselines

How Long Should Baselining Continue?

When Are Baselines Not Necessary?

Issues Regarding Baselining

Summary


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

Introduction

Case Studies or Predesigns

Design A-B: The Basic Single-System Design

Summary


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

Introduction

Basic Experimental Designs

Summary


15 Multiple Designs for Single Systems

Introduction

Multiple-Baseline Designs: Across Problems, Clients, or Settings

Multiple-Target Designs

Variations on Multiple Designs

Summary


16 Changing Intensity Designs and Successive Intervention Designs

Introduction

Changing Intensity Designs: A-B 1 -B 2 -B 3

Successive Intervention Designs: A-B-C, A-B-A-C, A-B-A-C-A

Summary


17 Designs for Comparing Interventions

Introduction

Alternating Intervention Design: A-B/C-(B or C)

Interaction Design: A-B-A-B-BC-B-BC

Summary


18 Selecting a Design

Introduction

Framework for Selecting a Design

Needed: A Design for All Seasons

Creativity in Single-System Designs: Making Your Own Designs

Evaluation in Minimal-Contact Situations

Single-System Designs in Managed Care: The Stretch Design

Trouble-Shooting: “Okay, I Understand Everything That You Said, but My Case Is Different.”

Summary


Part IV

Analyzing Your Results

19 Basic Principles of Analysis

Introduction

Distinguishing Effort, Effectiveness, and Efficiency

Significance—Practical, Statistical, and Theoretical

Evaluating Goal Achievement

Issues in Analysis of Data

Computer Analysis of Data for Single-System Designs

The Issue of Autocorrelation

Tools in Analysis of Data

Summary


20 Visual Analysis of Single-System Design Data

Introduction

Definition of Terms

Basic Patterns and Implications

Visual Inspection of Raw Data

Interpreting Ambiguous Patterns

Problems of Visual Inspection

Creating a Chart with SINGWIN

Summary


21 Descriptive Statistics

Introduction

Measures of Central Tendency

Measures of Variation

Using Measures of Central Tendency and Variability to Graph Group Data

Computing and Graphing Measures of Central Tendency and Variation with SINGWIN

Measures of Trend

Measures of Effect Size

Optimal Uses and Cautions for Specific Descriptive Statistics

Summary


22 Tests of Statistical Significance for Single-System Designs

Introduction

Proportion/Frequency Approach

Three-Standard-Deviation-Band Approach (X-Moving-Range-Chart)

Chi-Square

Conservative Dual-Criteria (CDC) Approach

t-Test

General Considerations in Using Tests of Statistical Significance

Optimal Uses and Cautions for Specific Analytic Procedures

Summary


23 Computer Analysis of Single-System Design Data

Chapter Overview

Starting SINGWIN

Exiting SINGWIN

Getting the Big Picture

Using Specific Procedures

Appendix: Installing Singwin

Summary


24 Selecting a Procedure for Analyzing Data

Introduction

Framework for Selecting a Procedure for Analyzing Data

Other Statistical Considerations

Nonstatistical Considerations

Limitations

Summary


Part V

The Challenge of Single-System Designs

25 Not for Practitioners Alone

Introduction

Special Applications of Single-System Designs

Recent Criticisms of Single-System Evaluation

For the Client

For the Administrator

For Educators and Students

Summary


References

Name Index

Subject Index

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