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Evaluation Practice Thinking and Action Principles for Social Work Practice

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ISBN-10: 053454391X

ISBN-13: 9780534543914

Edition: 2003

Authors: Elizabeth DePoy, Stephen French Gilson

List price: $163.95
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This text presents both the quantitative and qualitative methods and focuses on teaching students how to skillfully apply the full range of research designs, methods and strategies to evaluation of social work in all domains of social work practice. The book provides a framework for the integration of systematic inquiry with practice that can be used by all social workers. The authors have created a model called, "evaluation practice" that provides the evidence-based structure within which diverse social work theories and skills can be organized, examined and verified.
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Book details

List price: $163.95
Copyright year: 2003
Publisher: Wadsworth
Publication date: 7/9/2002
Binding: Paperback
Pages: 336
Size: 6.25" wide x 9.25" long x 0.75" tall
Weight: 0.880
Language: English

Introduction to Evaluation Practice
Definition and Scope
Political Context of Evaluation
Theoretical and Value-Based Foundation of Evaluation Practice
The Conceptual Framework of Evaluation Practice
Overview of the Model
Principles and Assumptions
Deductive Reasoning
Inductive Reasoning
Roles and Responsibilities of Social Workers in Evaluation Practice
Managing People
Analytic Axes
Evaluation Practice Ethics
Thinking Processes of Evaluation Practice
Identifying Social Work Problems and Issues
Thinking Processes in Articulating Social Problems
Problem Mapping and Force Field Analysis
Obtaining and Organizing Information
Diverse Purposes of Information in Evaluation Practice
When to Review Information in Evaluation
Mechanics of Information Review
Ascertaining Need
Distinction Between Problem and Need
Choosing Needs Assessment Action Strategies
Examining Need with Previously Supported Approaches: Designing Experimental-Type Inquiry
Using Experimental-Type Design in Needs Assessment
True Experimental Design
Nonexperimental Designs
Thinking Process of Experimental-Type Design Selection in Needs Assessment
Obtaining Information in Experimental-Type Needs Assessment
Introduction to Measurement
Instrumentation Structures That Are Useful in Experimental-Type Needs Assessment
Ascertaining Need in Unexamined Contexts: Designing Qualitative Inquiry
Underlying Tenets of Naturalistic Inquiry
Selecting a Design in Naturalistic Needs Assessment
Mixed-Method Designs
Setting Goals and Objectives
Introduction and Definitions
Deriving Goals from Need Statements
Action Process of Writing Process Objectives
Action Process of Writing Outcome Objectives
Reflexive Intervention
Intervention Selection and Reflexive Intervention
Translating Goals and Objectives into Interventions
Selection of an Intervention Approach
Reflexive Intervention
Thinking Processes of Reflexive Intervention
Elements of Reflexive Intervention
Action Processes of Reflexive Intervention
Introduction to Design Selection in Reflexive Intervention
Experimental-Type Process Assessment Designs
Naturalistic Inquiry
Mixed-Method Design
Process Assessment Questions Posed by Diverse Groups
Selecting a Method--Guiding Questions
Assessing Outcomes
Thinking Processes in Outcome Assessment
Introduction: Outcome Assessment as One Step in Evaluation Practice
Essential Elements of Outcome Assessment
Action Processes of Outcome Research: Looking at Group Outcome
Four Steps of Outcome Assessment
True Experimental Design in Outcome Assessment
Using Nonexperimental to Quasi-Experimental Approaches in Outcome Assessment
Alternative Strategies to Attribute Outcome to Intervention
Outcome Assessment Using Idiographic Designs
Definition of Idiographic Designs
Three Idiographic Design Types
Sharing Evaluation Practice Knowledge
Reporting and Using Knowledge
Questions to Guide the Selection of a Reporting Format and Strategy
Use of Evaluation Practice Knowledge
Continuous Process of Evaluation Practice
Individual Problem
Systemic Problem Identified by Joshua
Systemic Problem
Evaluation Practice: Upholding the Social Work Commitment
Go For It!
Data Analysis
Descriptive Statistics
Drawing Inferences
Associations and Relationships
Naturalistic Data Analysis