Atjaunināt sīkdatņu piekrišanu

Research for Effective Social Work Practice 4th edition [Mīkstie vāki]

3.24/5 (25 ratings by Goodreads)
(Arizona State University, USA)
  • Formāts: Paperback / softback, 504 pages, height x width: 235x191 mm, weight: 968 g, 47 Tables, black and white; 39 Line drawings, black and white; 8 Halftones, black and white; 47 Illustrations, black and white
  • Sērija : New Directions in Social Work
  • Izdošanas datums: 01-Mar-2018
  • Izdevniecība: Routledge
  • ISBN-10: 1138819530
  • ISBN-13: 9781138819535
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 122,33 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Research for Effective Social Work Practice 4th editionPalielināt
  • Formāts: Paperback / softback, 504 pages, height x width: 235x191 mm, weight: 968 g, 47 Tables, black and white; 39 Line drawings, black and white; 8 Halftones, black and white; 47 Illustrations, black and white
  • Sērija : New Directions in Social Work
  • Izdošanas datums: 01-Mar-2018
  • Izdevniecība: Routledge
  • ISBN-10: 1138819530
  • ISBN-13: 9781138819535
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781138819535.html
Keywords:
In this book and companion website you will find:

A practice-oriented description of qualitative and quantitative research methods that engages rather than intimidates students

Illustrations of real-life research and evaluation from different levels of social work practice, encompassing many populations

Attention to the ethics and politics of research at each phase of the process, from the identification of an issue through reporting findings

Exercises that provide hands-on learning opportunities in research and evaluation

A historical, strengths-based perspective on research and evaluation in social work that teaches empowerment and professionalism

Six in-depth, interactive, easy-to-access cases, that include data in SPSS and Excel

A wealth of instructor-only resources available at www.routledgesw.com/research, including sample syllabi, links, multiple-choice, and free-response test items all linked to current EPAS standards, and PowerPoint presentations.
Preface xxiii
Acknowledgments xxvii
About the Author xxviii
Chapter 1 The Context of Social Work Research 1(27)
The Functions of Research in Social Work
6(5)
Promoting Science as a Way of Knowing
7(2)
Increasing Accountability
9(1)
Enhancing Communication
9(1)
Enhancing Access to Scarce Resources
10(1)
Case-In-Point: Research Proves Critical To Maintaining Home Visitation Programming
10(1)
Controversies in the History of Social Work Research
11(7)
Historical Controversy 1: Is Social Work a Profession?
11(1)
Historical Controversy 2: Do Social Workers Use Research?
12(1)
Historical Controversy 3: Is Research Relevant to Social Work?
13(4)
The Emergence of Logical Positivism
13(2)
Interpretivism: The Alternative to Positivism
15(1)
A Comparison of Positivist and Interpretivist Research
16(1)
Lessons Learned from the Controversies
17(1)
The Professional Mandate
18(2)
Quick Guide 1: Guidelines For Incorporating Research Into Social Work
19(1)
National Association of Social Workers
19(1)
Council on Social Work Education
20(1)
Trends that Support Research Utilization
20(3)
The Internet
21(1)
Government Performance and Results Act
21(1)
Evidence-Based Practice
22(1)
Research in Professional Social Work Practice
23(2)
Lifelong Learning
23(1)
Research Opportunities for Entry-Level Social Workers
24(1)
Conclusion
25(1)
Main Points
26(1)
Exercises
26(2)
Chapter 2 The Politics and Ethics of Social Work Research 28(25)
Case-In-Point: Dismissive Attitudes Toward Data
31(1)
Social Work Research: The Means to Social Justice
31(1)
Funding for Social Work Research
32(3)
Research Priorities: What's Hot, What's Not
33(2)
Case-In-Point: The Politics Of Intervening
33(2)
The Ethics Of Research
35(14)
Case-In-Point: Blood Victory Day
35(1)
Rules of Ethical Conduct
36(12)
Institutional Review Boards (IRBs)
38(2)
Case-In-Point: The Problem With Retractions
40(1)
Informed Consent
40(4)
Assent
44(3)
Case-In-Point: Obtaining A High Rate Of Participation Through Active Consent
46(1)
Privacy
47(1)
Incentives for Participation
48(1)
Confidentiality and Anonymity
48(1)
The Ethics of Internet Research
49(1)
Conclusion
50(1)
Main Points
51(1)
Exercises
51(2)
Chapter 3 Research Problems and Research Questions 53(33)
Understanding the Research Process
54(2)
Identifying the Research Problem
56(8)
Defining the Real Problem
59(1)
Case-In-Point: Prevention Program Fails To Accurately Identify The Problem
59(1)
Making The Case To Study A Research Problem
60(4)
Find Relevant Information Sources
60(1)
Evaluate The Credibility Of Information Sources
61(1)
Striving For Cultural Proficiency
61(2)
Quick Guide 2: Framework For Evaluating The Credibility Of Information Sources
62(1)
Acknowledge Personal Biases
63(1)
Assess Bias in the Literature
63(1)
Assess Bias in Agencies and Organizations
63(1)
Acquire Prerequisite Knowledge
63(1)
Differentiate "Research for" From "Research on"
64(1)
Involve Members of the Cultural Group
64(1)
Refining the Research Question
64(19)
Formulating the General Research Question
64(6)
Avoid Value-Laden Questions
65(1)
Categorize Research Questions by Their Purpose
65(1)
Conduct a Literature Review
66(2)
Use Theory as a Guide
68(1)
Case-In-Point: Three Theories Used To Formulate Research Questions About Relationships And The Internet
69(1)
Select The Right Research Question For The Study
69(1)
Formulating A Researchable, Specific Research Question
70(19)
Identify And Define Concepts
70(3)
Case-In-Point: Poverty: Outdated Definition Of Poverty Leads To More Specific Alternatives For Research
72(1)
Analyze The Feasibility Of How The Concept Is Defined
73(1)
Define The Unit Of Analysis
73(1)
Anchor The Question In Time And Place
74(2)
Case-In-Point: Exploratory Research: Physical Activity And Young Children
75(1)
Developing Research Hypotheses
76(1)
Variables and Constants
77(1)
Types of Hypotheses
78(1)
Case-In-Point: Descriptive Research: Women And Contraception
79(1)
Formulating Culturally Proficient Research Questions And Hypotheses
79(3)
Case-In-Point: Explanatory Research: Multidimensional Treatment Foster Care
81(1)
Finding Research Questions and Hypotheses in Published Research
82(1)
Conclusion
83(1)
Main Points
83(1)
Exercises
84(2)
Chapter 4 Single Subject Research 86(29)
The Value of Single Subject Research
88(1)
The Single Subject Research Model
89(6)
Variables for Single Subject Research
89(2)
Baseline Phase
91(2)
Intervention Phase
93(1)
Follow-Up Phase
94(1)
Single Subject Research Designs
95(6)
AB Design
95(1)
Multiple Baseline Design
96(2)
Multiple Component Design
98(1)
Reversal Design
98(2)
Changing Criterion Design
100(1)
Success in Single Subject Research
101(10)
Analysis of Single Subject Research
102(6)
Graphing 55R Data
102(2)
Analyzing the Standard Deviation
104(4)
Quick Guide 3: Excel Tutorial: Graphing The Results Of Single Subject Research
105(1)
Case-In-Point: Using Standard Deviation In SSR Graph Demonstrates Success In Improving Bedtime Behavior
106(2)
Benefits of Using Single Subject Research to Inform Practice
108(1)
Better Services
108(1)
Enhanced Relationships
108(1)
View of the Larger Context
109(1)
Promoting Critical Thinking
109(1)
Efficiency
109(1)
Drawbacks of Using Single Subject Research to Inform Practice
109(2)
Conclusion
111(1)
Main Points
111(1)
Exercises
112(3)
Chapter 5 Research in Agencies and Communities 115(36)
Types of Program Evaluation
118(1)
Needs Assessment
118(5)
Types of Information for Needs Assessment
119(2)
Research Methods in Needs Assessment
121(2)
Case-In-Point: Assessing Need For Rainn Online Sexual Assault Services
122(1)
Evaluability Assessment
123(3)
Foundations of Effective Program Structure
124(1)
Program Objectives
124(1)
Logic Model for Assessing Program Evaluability
125(1)
Implementation Evaluation
126(1)
Consumer Satisfaction Assessment
127(7)
Case-In-Point: Implementation Evaluation Improves Technology Program For Foster Children
128(2)
Obtaining the Information
130(2)
Understanding the Limitations
132(6)
Case-In-Point: Pop-Up Survey Rates Customer Satisfaction With Rainn Online Sexual Assault Hotline
132(2)
Process Evaluation
134(1)
Outcome Evaluation
134(4)
Case-In-Point: Program Evaluation Seeks To Determine Whether Dare Works
137(1)
Cost Evaluation
138(2)
Cost-Effectiveness Analysis
139(1)
Cost/Benefit Analysis
140(1)
The Political Context of Program Evaluation
140(6)
Participatory Action Research and Evaluation
141(1)
Benefits of Program Evaluation
142(2)
Concerns Related to Program Evaluation
144(11)
Case-In-Point: Program Evaluator Addresses Political Concerns In Large-Scale Study Of Sexual Abstinence Program
145(1)
Conclusion
146(1)
Main Points
147(1)
Exercises
148(3)
Chapter 6 Qualitative Research 151(41)
Uses for Qualitative Methods
153(1)
Strengths of Qualitative Research
154(1)
Limitations of Qualitative Research
155(2)
Subjectivity
155(1)
Limited Generalizability
155(2)
Qualitative Data Collection
157(6)
Individual Interviews
157(2)
Focus Group Interviews
159(2)
Observation
161(2)
Types of Observation
161(1)
Limits of Observation
162(1)
Field Journals
162(1)
Review of Existing Records
163(1)
Sampling in Qualitative Research
163(5)
Choosing a Purposive Sampling Method
163(3)
Snowball Sampling
165(1)
Deviant Cases
165(1)
Quota Sampling
166(1)
Accessing Participants
166(2)
Common Qualitative Methods
168(8)
Case Study
168(3)
Case-In-Point: Case Study Of Inner-City Neighborhood Illuminates The Code Of The Street
170(1)
Ethnography
171(1)
Grounded Theory
172(2)
Phenomenology
173(1)
Combined Research Approaches
174(2)
Case-In-Point: Example Mixed-Methods Approach
175(1)
Data Analysis and Results Reporting in Qualitative Research
176(12)
Preparing the Data
176(2)
Analyzing the Data
178(7)
Organizing the Data into Concepts
179(2)
Developing the Story
181(2)
Maximizing Rigor by Validating the Conclusions
183(2)
Reporting the Findings
185(3)
Conclusion
188(1)
Main Points
189(1)
Exercises
189(3)
Chapter 7 Group Research Design 192(32)
A Purpose-Driven Approach to Selecting a Group Research Design
194(3)
Quick Guide 4: Choice Of Research Design Based On The Research Question
194(1)
Exploratory Research Questions
195(1)
Descriptive Research Questions
196(1)
Explanatory Research Questions
196(1)
Notation and Terminology of Group Research Designs
197(8)
Observation (0)
197(1)
The Intervention, or Experimental Condition (X)
198(1)
Random Assignment (R)
199(2)
Assignment that is Not Random
201(1)
Terminology and Notation Describing Group Research Designs
201(4)
Cross-Sectional Research
202(1)
Pretests and Posttests
202(1)
Follow-Up Observations
203(1)
Number of Groups Involved
204(1)
Prospective and Retrospective Studies
204(1)
Types of Group Research Designs
205(11)
Case-In-Point: Variety Of Research Designs Contribute To Understanding The Role Of Home Visitation In Preventing Child Abuse And Neglect
207(1)
Pre-Experimental Research Designs
208(1)
One-Shot Case Study
208(1)
One-Group, Posttest-Only
208(1)
Quasi-Experimental Group Research Designs
209(3)
One-Group, Pretest-Posttest
209(1)
Posttest-Only with Comparison Group
209(1)
Pretest-Posttest with Comparison Group
210(1)
Multigroup, Posttest-Only
210(1)
Simple Time Series
211(1)
Time Series with Comparison Group
211(1)
Experimental Research Designs
212(4)
The Classic Experiment
213(2)
Posttest-Only with Control Group
215(1)
Solomon Four-Group
216(1)
Limitations of Group Research Designs
216(5)
Case-In-Point: A Good Experiment Goes Bad When The Healthy Start Program Being Studied Has Not Been Properly Implemented
217(1)
Threats to Internal Validity
218(2)
Threats to External Validity
220(1)
Conclusion
221(1)
Main Points
221(1)
Exercises
222(2)
Chapter 8 Sampling 224(26)
Defining the Population
226(3)
The Sampling Frame
227(1)
Sources of Error
228(1)
Selecting a Sampling Approach
229(12)
Case-In-Point: Study Of Female Sexuality Flounders On Sampling Bias
230(1)
Probability Sampling Approaches
230(10)
Simple Random Sampling
232(2)
Systematic Random Sampling
234(1)
Stratified Random Sampling
235(1)
Disproportionate Stratified Random Sampling
235(3)
Cluster Sampling
238(2)
Case-In-Point: Cluster Sampling And The Annual Homeless Street Count
239(1)
Non probability Sampling Approaches
240(1)
Convenience Sampling
240(1)
Deciding on the Correct Sample Size
241(6)
Determine the Desired Precision
242(1)
Manage Variation in the Population
243(2)
Consider the Number of Variables to be Analyzed
245(1)
Account for Attrition
246(1)
Conclusion
247(1)
Main Points
247(1)
Exercises
248(2)
Chapter 9 Measurement 250(38)
Measurement in Social Work Research
251(4)
The Role of Concepts in Measurement
252(1)
The Context of Measurement
253(1)
Measurement in Qualitative and Quantitative Research
254(1)
Sources of Measurable Data
255(8)
Survey Research
255(3)
Structured and Semi-Structured Surveys
256(2)
Limitations of Survey Research
258(1)
Standardized Instruments
258(5)
Norms and Cutting Scores
260(1)
How Researchers Use Standardized Instruments
260(2)
How Researchers Access Standardized Instruments and Questionnaires
262(1)
Existing Records
263(1)
Principles of Measurement Design
263(12)
Level of Measurement
264(3)
Nominal Measurement
265(1)
Ordinal Measurement
265(1)
Interval Measurement
266(1)
Ratio Measurement
267(1)
Response Rate
267(3)
Measurement Error
270(4)
Pilot Testing
274(1)
The Quality of Measures
275(10)
Measurement Validity
276(3)
Face Validity
276(1)
Content Validity
277(1)
Construct Validity
277(1)
Criterion-Related Validity
278(1)
Measurement Reliability
279(3)
Interrater Reliability
280(1)
Test-Retest Reliability
280(1)
Parallel Forms Reliability
281(1)
Split-Half Reliability
281(1)
Internal Consistency
281(1)
Measurement Utility
282(2)
Determining Utility
282(1)
Measuring Change: Static and Dynamic Measures
283(1)
Measuring Personal Characteristics: Trait and State Measures
284(1)
Measurement Performance
284(1)
Conclusion
285(1)
Main Points
285(1)
Exercises
286(2)
Chapter 10 Data Collection and Data Entry 288(43)
Selecting A Data Collection Method
290(11)
Methods for Administering Surveys
290(7)
Mail Surveys
291(1)
Telephone Surveys
292(2)
In-Person Surveys
294(2)
Internet Surveys
296(1)
Survey Methods and the Objectives of Research
297(1)
Nonresponse
298(2)
Quick Guide 5: Calculating Response Rates
299(1)
Feasibility
300(1)
Recruiting Research Participants
301(11)
Using Six "Triggers" of Influence
301(5)
Reciprocity
302(1)
Commitment and Consistency
302(1)
Social Proof
303(1)
Liking
304(1)
Authority
304(1)
Scarcity
305(1)
Tailoring Recruitment to the Target Participant
306(2)
Define the Participant
307(1)
Define the Study in the Participant's Terms
307(1)
Planning for Retention
308(4)
Develop Rapport
309(1)
Develop a Tracking System
310(1)
Minimize the Research Burden
311(1)
Provide Incentives
311(1)
Preparing for Data Collection
312(6)
Developing a Data Collection Protocol
313(3)
Preparing Data Collectors
316(2)
Hiring
316(1)
Training
317(1)
Developing the Database
318(7)
Determining the Order of Variables
319(1)
Deciding on a Unique Identifier
320(2)
Developing the Data Codebook
322(1)
Accounting for Missing Data
323(2)
Entering the Data
325(1)
Working Within A Budget
325(2)
Conclusion
327(1)
Main Points
328(1)
Exercises
329(2)
Chapter 11 Descriptions of Quantitative Data 331(38)
Verifying Quantitative Data
334(14)
Case-In-Point: Coding Errors Produce False Picture Of Girls' Pregnancies
334(1)
Ordering the Data
335(3)
Frequency Distributions at the Nominal Level
335(1)
Frequency Distributions at the Ordinal Level
336(2)
Frequency Distributions at the Interval and Ratio Levels
338(1)
Examining the Data Graphically
338(2)
Recoding Data
340(2)
Computing Scales by Combining Multiple Variables
342(6)
Assessing Internal Consistency
343(3)
Calculating a Total Scale Score
346(2)
Describing Quantitative Data
348(18)
Central Tendency
349(4)
Mode
349(1)
Median
350(2)
Mean
352(1)
Variability
353(3)
Minimum, Maximum, and Range
353(1)
Standard Deviation
354(2)
Shapes of Distributions
356(5)
Normal Distribution
356(4)
Quick Guide 6: Mathematical Properties Of The Normal Distribution
358(2)
Skewed Distributions
360(1)
Descriptive Analyses in Reports
361(10)
Designing Effective Tables
362(1)
Developing Graphics
363(1)
Writing the Narrative
364(2)
Conclusion
366(1)
Main Points
366(1)
Exercises
367(2)
Chapter 12 Bivariate Statistics and Statistical Inference 369(42)
Probability
371(1)
Statistical Significance Testing
371(5)
Sampling Error
372(3)
Calculating p-Value
373(1)
Assessing the Impact of Sample Size
374(1)
Errors of Statistical Inference
375(1)
Statistical Significance Testing in
Nonexperimental Research
376(1)
Common Bivariate Statistical Tests
376(28)
Linear Correlation
378(6)
Correlation Direction and Line of Best Fit
379(2)
Curvilinear Relationships
381(1)
Correlation Strength and Pearson's r
381(2)
Quick Guide 7: Guidelines For Describing The Strength Of A Correlation Coefficient
383(1)
Coefficient of Determination
383(1)
Hypothesis Testing with Pearson's r
383(1)
Correlation Matrix
384(1)
Crosstabulation
384(8)
Hypothesis Testing with Chi-square
386(1)
Expected Frequencies and Observed Frequencies
387(2)
Chi-square Statistic and Degrees of Freedom
389(3)
Case-In-Point: User Differences In An Online Rape Crisis Hotline
392(1)
t-Tests: Comparing the Difference Between Two Means
392(7)
Independent Samples t-Test
393(2)
Paired Samples t-Test
395(2)
One Sample t-Test
397(2)
Analysis of Variance
399(2)
Six Common Pitfalls to Avoid in Significance Testing
401(12)
Equating Statistical Significance with Importance
401(1)
Inferring the Magnitude of the Results from the Size of the p-Value
402(1)
Mistaking Rejection of Null Hypothesis for Confirmation of Research Hypothesis
403(1)
Fishing for Statistically Significant Relationships
403(1)
Inferring Causation from Statistical Significance
403(1)
Failing to Consider Statistical Power
403(1)
Conventions for Reporting Statistical Findings
404(2)
Quick Guide 8: Summary Of Select Bivariate Statistical Tests
405(1)
Conclusion
406(1)
Main Points
407(1)
Exercises
408(3)
Chapter 13 A Researcher's Writing and Presentation Tools 411(27)
Research Proposals
413(6)
Goals of a Research Proposal
413(1)
Sections of a Research Proposal
414(2)
Grant Funding Proposal
416(3)
Quick Guide 9: Rating Sheet For Evaluating Grant Proposals
419(1)
Research Reports
419(7)
Reports to Stakeholders
419(1)
Research Briefs
420(1)
Manuscripts for Publication in Professional Journals
420(6)
Publication Process
421(1)
Formatting
421(5)
Quick Guide 10: Checklist For Evaluating A Research Manuscript
424(2)
Presentations at Conferences and Professional Meetings
426(5)
Presentations of Research Papers
427(2)
Poster Sessions
429(1)
Workshops
430(1)
The Ethics and Politics of Research Reports
431(3)
Plagiarism
431(1)
Language
432(1)
Values and Bias
433(1)
Authorship
433(1)
Organizational Politics
434(1)
Conclusion
434(1)
Main Points
435(1)
Exercises
435(3)
References 438(8)
Glossary 446(18)
Index 464
Judy Krysik is an Associate Professor in Social Work at Arizona State University, Phoenix, and Director of the ASU Center for Child Well-Being. She teaches research methods, evaluation, program planning, and practice with children and families. Her current research pursuits focus on infants and toddlers in out-of-home care and community collaboration in the field of child welfare. She is a member of the NASW National Ethics Committee and she serves on the editorial review boards of the Journal of Social Work Education, Social Work Research, and the Journal of Social Work Values and Ethics.