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Social Work Research Methods: From Conceptualization to Dissemination
Brett Drake
Melissa Jonson-Reid

ISBN-10: 0205460976
ISBN-13: 9780205460977

Publisher: Pearson
Copyright: 2008
Format: Cloth; 688 pp
Published: 09/19/2007
Status: Instock

Net price: $89.55 (What's this?)

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Description

Social Work Research Methods is a stand alone "how-to" social research text that covers conceptualization, design, implementation, data management, and statistical analysis with comprehensively detailed examples.

It provides students with everything they need to learn about social science research, and how complete a research project from start to finish. In addition, the text's research process is covered sequentially, in a straightforward “how-to” format. It discusses values and ethics, conceptualization, design, familiarization with key computer programs (Microsoft Excel, SAS, SPSS and NVIVO), analyses, implementation and dissemination. It is also written in a tone that is intentionally light-hearted to increase student interest and comfort level by addressing often overlooked aspects of conducting research (e.g. data management, IRB clearance, and grant development) in detail.

Key highlights of the text include five example research projects. These example projects are presented in their entirety; including how the researchers chose their areas of interest, how they executed their literature reviews (annotated citation lists are given), and how they designed, implemented, and disseminated (poster, article, agency report, or PowerPoint presentation) their work.

Features

Step-by-step “how to” format so that students can do research projects with tangible results.
Comprehensive coverage of all research elements from basic to advanced makes outside/supplementary sources unnecessary.
Advanced coverage of statistical methods that exposes students to all methods necessary to execute their projects or interpret readings.
Example projects presented in their entirety with the process of implementation to provide reference models for students.
Complete “start up” content and tutorials of research computer programs provides students with the information necessary to use various programs.
Substantial focus on qualitative approaches provided through out the text.
Content on values and ethics has been developed to ensure adherence to the CSWE guidelines.
Attention to non-experimental designs with an emphasis on correlational, descriptive and exploratory work.
Detailed coverage of data management with codebook instruction, variable creation and transformation, and full datasets provided with examples.
Informal and humorous language used through out to better engage the students.
Material is provided regarding the process of applying for grants is included in the appendices.
Research as a part of a clinical practice is expressly covered for students wanting to do research as part of their clinical work.

Table of Contents

Table of Contents

Chapter 1: Introduction

Section 1: Definitions

Section 2: The Ethics of Social Science

Section 3: The Process of Doing Social Science

Section 4: The Role of Theory

Chapter 2: Values and Ethics

Section 1: Definitions

Section 2: Personal Values and Research

Section 3: Examples From History: Harm to Human Subjects

Section 4: Examples From History: Other Issues

Section 5: Professional Codes of Ethics: Human Subjects

Section 6: Professional Codes of Ethics: Other Issues

Chapter 3: Specification

Section 1: Specification

Section 2: Your Area of Interest

Section 3: The Initial Literature Review

Section 4: Reviewing the Field

Section 5: Understanding Your Literature

Section 6: Your Conceptual Framework

Section 7: Formalizing and Presenting Your Conceptual Framework

Chapter 4: Design

Section 1: Specifying your Aims, Question and Hypotheses

Section 2: Seven Key Dimensions of Research Design

Section 2.1: Purpose

Section 2.2: Causality and Control

Section 2.3: Subjects and Sampling

Section 2.4: Assignment of Subjects to Different Groups or Conditions

Section 2.5: Investigator Manipulation

Section 2.6: Timeframe

Section 2.7: Data Type

Section 3: Internal Validity and Research Design

Section 4: Finalizing the Design

Section 5: True Experimental Designs in Detail

Section 6: Quasi-Experimental Designs in Detail

Section 7: Nonexperimental Designs in Detail

Section 8: Human Subjects, IRB’s and Ethics

Section 9: Summary of Key Design Products

Chapter 5: Measurement

Section 1: Measureent and Data Type

Section 2: Reliability and Validity

Section 3: Administration of Instruments

Section 4: Structure of Instruments

Section 5: Choosing a Measure

Chapter 6: Qualitative Research

Section 1: Qualitative Research Defined

Section 2: Paradigms and Frameworks in Qualitative Research

Section 3: Collecting Data in Qualitative Research

Section 4: Analysis in Qualitative Research

Chapter 7: Clinical Multisubject Research

Section 1: Introduction

Section 2: Needs Assessment and Caseload Analysis

Section 3: Program Monitoring

Section 4: Outcome Evaluation

Chapter 8: Clinical Single-Subject Research

Section 1: Why Study Individuals in Your Practice?

Section 2: Review of Key Terms in Single Subject Designs

Section 3: Treatment Goals and Outcomes

Section 4: Choosing a Way to Measure Outcomes

Section 4.1: Outcomes as Observed Behaviors

Section 4.2: Asking the Client or Someone Else (Finding and Using Existing Measures)

Section 4.3: Asking the Client or Someone Else (Creating Measures)

Section 4.4: Checking the Record (Administrative, Archival or Similar Data)

Section 5: Choosing and Implementing a Design

Section 5.1: The Basic Quasi-Experimental Approach (A B)

Section 5.2: Quasi-Experimental Approaches with Follow-up (A B A)

Section 5.3: Multiple-Baseline Models (A B A B)

Section 5.4: Multiple-Intervention Models (A B C)

Section 5.5: Combined Intervention Models (A B B+C)

Section 6: Timeframes

Section 7: Analysis, Interpretation and Dissemination

Chapter 9: Design Examples

Section 1: Kathy

Section 2: Maria

Section 3: Abigail

Section 4: Yuan

Section 5: John

Chapter 10: Computers in Social Science Research

Section 1: Spreadsheets (Excel)

Section 2: Statstical Analyis Software (SPSS)

Section 3: Statistical Analyis Software (SAS)

Section 4: Qualitative Analysis Software (NVivo)

Chapter 11: Implementation

Section 1: Pilot Studies: Bridging Design and Full-Scale Implementation

Section 2 Implementation Tasks

Section 2.1: Getting Ready

Section 2.2: Getting Agreements with Partners

Section 2.3: Getting Access to Your Sample

Section 2.4: Obtaining Human Subjects Clearance

Section 2.5: Obtaining Funding

Section 2.6: Getting Materials Ready

Section 2.7: Getting Personnel

Section 2.8: Formalizing Data Collection (Codebooks)

Section 2.9: Training Personnel

Section 3 Monitoring The Process

Section 3.1: Monitoring Data Collection

Section 3.2: Monitoring Contamination

Section 3.3: Monitoring Fidelity

Section 3.4: Monitoring Other Potential Problems

Section 4: Data Management

Section 4.1: Data Procurement

Section 4.2: Transferring Data to an Electronic Format

Section 4.3: Creating New Variables

Chapter 12: Implementation Examples

Section 1: Kathy

Section 2: Maria

Section 3: Abigail

Section 4: Yuan

Section 5: John

Chapter 13: Quantitative Analysis

Section 1: Important Terms

Section 2: Checking Your Data

Section 3: Univariate Statistics

Section 4: How We Explore Data and Test Hypotheses

Section 5: Basic Statistical Tests

Section 5.1: Tests of Association

Section 5.11: Bivariate Categorical Tests

Section 5.12: Correlation

Section 5.2: Tests of Difference

Section 5.21: T-Tests

Section 5.22: One-Way ANOVA

Section 5.11: Factorial ANOVA or Two-Way ANOVA

Section 6: An Introduction to Regression

Chapter 14: Moving On in Quantitative Analysis

Section 1: Advanced Applications of Correlation: Multiple Regression

Section 2: Principal Components Analysis

Section 3: ANCOVA & MANOVA: Combining Ideas of Regression and ANOVA

Section 4: Introduction to Advanced Categorical Analyses

Section 5: Logistic Regression

Section 6: Controlling For Time

Section 7: Categorical Time to Event Analyses

Section 8: Special Issues

Section 5.1: Clustering of Observations

Section 5.2: Correlations Over Time

Section 5.21: Complex Data Sets, GIS and Other Analytic Needs

Chapter 15 Analysis Examples

Section 1: Kathy

Section 2: Maria

Section 3: Abigail

Section 4: Yuan

Section 5: John

Chapter 16: Interpretation & Dissemination

Section 1: Four Components of Scientific Reporting

Section 2: Different Audiences

Section 3: Different Types of Products

Section 4: Practical Advice for Getting Presentations and Articles Accepted

Appendix: Grant Examples

Foundation Grant Example

NSF Grant Example

Courses

Research Methods in Social Work (Social Work / Family Therapy / Human Services)

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Backcover Copy

Social Work Research Methods: From Conceptualization to Dissemination

Brett Drake

Melissa Jonson-Reid

Basic Approach:

Written in an intentionally light-hearted tone, Social Work Research Methods is a stand alone "how-to" text that provides everything necessary to learn about social science research and complete a research project from start to finish. It covers conceptualization, design, implementation, data management, and statistical analysis through rich examples designed to increase interest and comfort level.

Features:

Five example research projects are integrated throughout the text and are presented in their entirety–including how the researchers chose their area of interest, how they executed literature reviews, and how they designed, implemented and disseminated their work.
Concepts are presented in a step-by-step format so students can do research projects with tangible results.
Content on values and ethics was developed to ensure adherence to CSWE guidelines.
Research as a part of a clinical practice (both single subject and multi-subject) is included for students interested in doing research as part of their clinical work.

What the reviewers are saying…

“There are no superfluous side trips into abstract theory or explanations of ‘why’ [students] should be interested in research. It just teaches them how to do it. It cuts to the chase from the beginning, and this prevents students from being turned off before they begin.”

Ted R. Watkins, Texas State University–San Marcos

“[Social Work Research Methods] includes many aspects of the research process (e.g., pilot testing an instrument, getting access to subjects, monitoring data collection) that are simply overlooked by the average research methods text, yet are crucial to a solid research study. The authors visit issues that come up in real research, yet are not considered very much in standard texts. It is an actual guidebook in carrying out research.”

Carolyn Turturro, University of Arkansas–Little Rock

“The writing is crisp, fresh, and clear…Students will likely find this text a fun read.”

Dean F. Duncan, III, University of North Carolina–Chapel Hill

Value-Packaged at No Additional Charge:

MyHelpingKit is a one-stop online portal that provides students with chapter-by-chapter Learning Objectives, Chapter Summaries, Practice Tests, Flashcards, Research Activities and Research Navigator™.

Value-Packaged at Minimal Charge (Also Available Separately):

…A workbook to accompany Social Work Research Methods. It includes exercises for each chapter, evidence-based practice modules, and step-by-step instructions for students working on their own research projects.

Please Contact Your Local Sales Representative for Additional Information:

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Social Work Research Methods: From Conceptualization to Dissemination