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Research Methods in the Social and Health Sciences: Making Research Decisions [Minkštas viršelis]

(The University of British Columbia, Canada), (Simon Fraser University, Canada)
  • Formatas: Paperback / softback, 752 pages, aukštis x plotis: 231x187 mm, weight: 1200 g
  • Išleidimo metai: 13-May-2021
  • Leidėjas: SAGE Publications Inc
  • ISBN-10: 1544357672
  • ISBN-13: 9781544357676
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 752 pages, aukštis x plotis: 231x187 mm, weight: 1200 g
  • Išleidimo metai: 13-May-2021
  • Leidėjas: SAGE Publications Inc
  • ISBN-10: 1544357672
  • ISBN-13: 9781544357676
Kitos knygos pagal šią temą:

Research Methods in the Social and Health Sciences: Research Decisions, by Ted Palys and Chris Atchison, gives students a thorough, thoughtful, and highly readable introduction to the entire research process from start to finish. From its underlying premise that your research questions and objectives, rather than any specific method, should guide your research, this book discusses each step of the research process, from limiting the scope of a literature review to navigating ethical considerations to deciding which methods are best suited for finding answers to specific research questions to how to analyze data and present findings. Readers are encouraged to think deeply about each step of the research process. The book promotes this deliberation by discussing the strengths and limitations of different methods and. Throughout the process, the authors provide many examples from their own and student research, sharing insights for research decisions arising from that experience. Readers will develop the skills to create solid research questions, perform literature reviews, identify appropriate data sources and methods, conduct research, analyze and interpret data and translate the resulting knowledge generated from the research process to a wider audience– all core parts of the research process –by developing their knowledge and creating confidence in their own decision-making skills.

After explaining the unique and often complementary strengths of qualitative and quantitative methods, students focus on what methods are best suited for finding answers to the research questions that interest them. Major types of research including experiments, case studies, surveys, quasi-experiments, ethnographies, focus groups, participatory action research, and archival studies all receive significant coverage. The text illustrates how these methods are enhanced by integrating them with 21st century technologies and combining them in mixed methods projects. Chapters on constructing a research proposal and disseminating research bookend the process with concrete steps in between to support students designing their own original research projects. Study questions at the end of each chapter encourage students to think critically about the research process and how the choices a researcher makes will broaden or constrain what they can find. By the end of the text, social and health science students will feel confident in undertaking ethical and thoughtful research.

Preface xix
About the Authors xxix
Chapter 1 Perspectives on Research
1(30)
No Royal Road to Truth
3(1)
Quantitative Traditions
4(4)
A Positivist Epistemology
4(1)
A Realist Perspective
4(1)
Just Another Organism
5(1)
Inputs and Outcomes
5(1)
Don't Get Too Close
6(1)
Social Facts
6(1)
A Deductive Approach
7(1)
Researcher-Centered
8(1)
Qualitative Traditions
8(7)
A Human-Centered Approach
9(1)
Phenomenologism
10(1)
Numbers Create Distance
10(1)
Understanding Equals Verstehen
11(1)
Validity Comes From Closeness
11(1)
An Inductive Approach
12(1)
A Preference for Field Research
12(1)
Constructionism
13(2)
Emphasizing Process
15(1)
Participant-Centered
15(1)
Bridging Approaches
15(9)
Philosophical Stance
18(1)
Epistemological Priorities
19(1)
Role of Researchers
20(1)
Implications for Methods
21(2)
How Do You Spell S-u-c-c-e-s-s?
23(1)
A Third Way?
24(1)
Summing Up and Looking Ahead
24(5)
Key Concepts
29(1)
Study Questions
29(2)
Chapter 2 Getting Started: Developing Research Ideas
31(36)
Can You Solve This?
32(1)
Three Approache's to Theorizing
33(7)
Deductive Logic
33(2)
Inductive Logic
35(2)
Abductive Reasoning
37(3)
Where Do Research Ideas Come From?
40(1)
Connecting With the Literature
40(7)
Real and Virtual Libraries
41(3)
Take a Broad View of Your Topic
44(3)
Additional Techniques for Searching the Literature
47(3)
Creating and Managing a Personal Digital Archive
50(1)
Theory as a Source of Research Ideas
51(1)
Applying Theory to Situations
52(1)
Extending or Limiting a Theory's Coverage
53(1)
Offering Alternative Explanations
53(1)
Inductive Sources of Research Ideas
54(1)
Starting From Where You Are
55(1)
Observation as a Source of Ideas
56(1)
Intensive Case Studies and Experience Surveys
57(1)
Ideas From the Research Process Itself
58(1)
Replication
58(1)
When Technologies Open New Doors
58(1)
Challenging Prior Research
59(1)
Clarifying Underlying Processes
59(1)
Resolving Conflicting Results
60(1)
Analogy
60(1)
Surprises: Anomaly and Serendipity
61(1)
The Supplied Problem
61(1)
Cultural Folklore, the Common Wisdom, and "Common Sense"
62(1)
Summing Up and Looking Ahead
63(2)
Key Concepts
65(1)
Study Questions
65(2)
Chapter 3 Getting Specific: What's the Plan?
67(36)
Constructing a Research Proposal
68(1)
Defining "Here": The Literature Review
69(7)
Justifying Your Research
71(1)
Contributing to Theory Development
71(1)
A Different Methodological Approach
72(1)
Implications for Policy or Program Development
72(1)
Addressing Gaps in the Literature
73(2)
Multiple Sources of Justification
75(1)
Setting Up Your Project
75(1)
Defining "There": Research Questions and Hypotheses
76(16)
Research Questions
76(3)
The Emergent Question
79(3)
Hypotheses
82(1)
Hypotheses as Instruments of Theory
83(1)
Hypotheses Imply a Test
83(1)
Hypotheses Make Us Place Our Bets
84(1)
Operationalizing: The Bridge Between Concepts and Data
84(1)
Nominal lor Constitutive! Definitions
85(1)
Operational Definitions
86(1)
Evaluating Operational Definitions
87(3)
Caveats Regarding Operationism
90(1)
Mono-Operation Bias
91(1)
Definitional Operationism
91(1)
Bringing It Home
92(3)
Methods: The Road from Here to There
92(1)
Analysis, Expected Outcomes, and Benefits of the Study
93(1)
Acknowledging Potential Limitations
94(1)
Some Final Advice
95(2)
Summing Up and Looking Ahead
97(3)
Key Concepts
100(1)
Study Questions
100(3)
Chapter 4 Ethics in Social and Health Research
103(48)
Formalizing Codes of Ethics
104(8)
Biomedical Horror Stories
104(2)
Complexities in the Social Sciences
106(1)
A Shifting Locus of Responsibility
107(1)
Government Intervenes
108(1)
The Common Rule
108(3)
Implications for the Sociology of Knowledge
111(1)
Ethics Principles
112(35)
Is the Research Worth Doing?
112(2)
Informed Consent
114(4)
Protecting Confidentiality
118(1)
"Loose Lips Sink Ships"
118(1)
Procedural Protections
119(3)
Dealing With Legal Threats
122(20)
Researcher Conflicts of Interest
142(2)
Conflicts of Role
144(1)
Balancing and Combining Ethical Principles
145(2)
Summing Up and Looking Ahead
147(1)
Key Concepts
148(1)
Study Questions
148(3)
Chapter 5 Sampling and Recruitment
151(50)
Our Approach to Sampling
153(3)
There Is No One "Best" Sampling Method
153(1)
All Sampling Is Purposive
154(1)
Let's Get Real
155(1)
The Sampling Process
156(5)
Step One: Framing the Sample
157(1)
When It Just Doesn't Matter
157(1)
When Sampling Does Matter
158(2)
Step Two: Getting Down to Business
160(1)
When Statistical Generalization Is the Objective: Probabilistic Techniques
161(5)
Probabilistic Sampling: The Vocabulary
161(1)
The Meaning of "Random"
161(2)
Representativeness
163(1)
Units of Analysis or Sampling Elements
164(1)
The Universe
164(1)
The Population
165(1)
Sampling Frame
165(1)
Probabilistic Sampling Techniques
166(11)
Simple Random Sampling
166(1)
Sampling Error
166(4)
Systematic Sample With Random Start
170(1)
Stratified Random Sampling
170(2)
Proportional Stratified Random Sampling
172(1)
Disproportionat Stratified Random Sampling
173(1)
Quasi-Probabilistic Techniques
174(1)
Multistage Cluster Sampling
174(1)
Quota Sampling
175(2)
Can Sampling Problems Be Overcome by Sample Size?
177(3)
Distinguishing Representativeness and Generalizability
180(3)
Finding the Right People: Purposive, Strategic, or Target Sampling
183(9)
Stakeholder Sampling
184(1)
Extreme or Deviant Case Sampling
185(1)
Intensity Sampling
186(1)
Typical Case Sampling
186(1)
Maximum Variation Sampling
186(1)
Criterion Sampling
187(1)
Critical Case Sampling
188(1)
Disconfirming or Negative Case Sampling
188(1)
Representative Sampling
189(1)
The Thoughtful Respondent
190(1)
Snowball Sampling
190(2)
Computer Networks as a Sampling Site
192(1)
Soliciting Responses and Participation
193(4)
Summing Up and Looking Ahead
197(2)
Key Concepts
199(1)
Study Questions
199(2)
Chapter 6 Eliminating Rival Plausible Explanations: The Experiment
201(52)
Isolating Causes: The Controlled Experiment
202(2)
The Terminology and Logic of Experimentation
204(24)
Independent and Dependent Variables
206(1)
Internal Validity
206(1)
History
207(1)
Maturation
207(1)
Testing
208(1)
Regression Toward the Mean
209(3)
Controlling for Rival Plausible Explanations
212(1)
Control/Comparison Groups
212(4)
Ensuring Pretest Equivalence
216(5)
External Validity
221(1)
Ecological Validity
222(3)
Statistical Conclusion Validity
225(3)
An Example: Assessing the Effects of Violent Pornography
228(16)
Isolating and Operationalizing the Variables
229(1)
The Sample
230(1)
Procedures and Design
230(3)
Were the Differences Significant?
233(2)
Assessing Internal Validity
235(1)
If the Two Groups Are Equal to Begin With
235(1)
And Are Treated Identically in All Respects
235(1)
Assessing External Validity
236(1)
Assessing Ecological Validity
237(5)
The Fragility of Media Influence Effects
242(1)
Context, Meanings, and Behavior
242(1)
External Validity Revisited: Generalizing to the Gay Community
243(1)
The Experiment in Perspective
244(3)
Summing Up and Looking Ahead
247(3)
Key Concepts r
250(1)
Study Questions
250(3)
Chapter 7 From Manipulative to Analytic Control: Quasi-Experimentation
253(36)
Donald T. Campbell and Quasi-Experimentation
254(2)
The Logic of Quasi-Experimentation
256(15)
Was the Independent Variable Really Manipulated?
257(3)
Was There a Change in the Dependent Variable?
260(2)
Eliminating Rival Plausible Explanations
262(1)
A Plausible Alternative? Check It Out!
262(3)
Time-Series Designs
265(1)
Multiple Time-Series Designs
266(5)
Reviewing the Logic of Quasi-Experimentation
271(6)
New Threats to Internal Validity
273(1)
Diffusion or Imitation of Treatments
273(1)
Compensatory Equalization
274(1)
Compensatory Rivalry
275(1)
Resentful Demoralization
275(1)
Mortality
276(1)
The Politics of Evaluation Research
277(8)
Programs Are Political Creatures
278(1)
The Politics of the Decision-Making Process
279(1)
The Political Stance of the Evaluation Itself
280(2)
So What Can a Person Do?
282(3)
Summing Up and Looking Ahead
285(2)
Key Concepts
287(1)
Study Questions
287(2)
Chapter 8 Case Study Approaches
289(42)
Analytic Control in the Case Study Context
289(7)
What Is a Case?
296(2)
When Is a Case Study Appropriate?
298(1)
Case Study Methods
298(8)
Do Photographs Tell the Truth?
301(1)
Analytic Induction
302(4)
An Intrinsic Case Study: Sherlock Holmes and "The Adventure of Silver Blaze"
306(13)
The Phenomena: A Disappearance and a Murder
307(1)
Gathering Preliminary Data
308(1)
Preliminary Induction
309(1)
Analytic Induction: A Dialectic of Theory and Data
310(3)
The Master of Deduction
313(4)
A Satisfying Resolution
317(1)
Denouement
317(2)
Case Study Analysis in the Real World
319(8)
Where Did That Equation Come From?
319(1)
How Were Those Decisions Made?
320(1)
Where Did All the Referrals Go?
321(2)
How Does a Computerized Information System Affect Interaction?
323(4)
Summing Up and Looking Ahead
327(3)
Key Concepts
330(1)
Study Questions
330(1)
Chapter 9 Surveys and Questionnaires
331(58)
Strengths and Limitations of Surveys
333(2)
Types of Surveys and Questionnaires
335(7)
The Paper-and-Pencil Questionnaire
335(1)
The Telephone Survey
336(2)
The Network-Administered Survey
338(4)
Designing Your Survey
342(36)
Who Are Your Respondents?
342(1)
Question Content
343(1)
Examples in the Literature
343(1)
Using Mixed Methods to Inform Questioning
344(2)
An Iterative Process Starting With General Objectives
346(3)
Question Structure
349(1)
Open-Ended Questions
350(2)
Closed or Structured Questions
352(1)
Combining Question Types
353(1)
The Variety of Structured Questions
353(1)
Single-Response Items
353(1)
Categorical Response Items
354(3)
Rating Scales
357(2)
Likert-Type Items
359(1)
Using Multiple Items to Create Scales
360(1)
Semantic Differential-Type Items
361(1)
Some Advice About Response Categories
362(4)
Question Wording
366(1)
A Rose by Any Other Name
366(2)
Sample-Appropriate Wording
368(1)
Avoiding Ambiguity
369(1)
Meaningless Responses
370(1)
Double-Barreled Items
370(1)
Acronyms
371(1)
Survey Look, Organization, and Flow
371(1)
Aesthetic Appeal
371(1)
A Formal Introduction
372(1)
Getting to Know You
373(1)
Anticipating a Conversation
374(2)
Loose Ends and the Final Word
376(1)
Pilot Studies and Cognitive Interviews
376(2)
The Meaning of Self-Reports
378(7)
The Naivete of Literalism
378(1)
Attitudes and Behavior
379(2)
Considering HnjConsistency
381(2)
Avoiding the Pitfalls
383(1)
General Interests? General Questions!
383(1)
Specific Interests? Specific Questions!
384(1)
Considering Stereotyping/Prototypicatity
384(1)
Assessing Contingencies
385(1)
Summing Up and Looking Ahead
385(1)
Key Concepts
386(1)
Study Questions
386(3)
Chapter 10 Interviews
389(48)
Comparing Surveys and Interviews
390(2)
The One-on-One Personal Interview
392(22)
Before You Begin
392(1)
Technology
392(2)
Choosing an Appropriate Setting
394(1)
Self-presentation
395(2)
Interviewing Online
397(1)
Doing the Interview
398(1)
Getting Started
398(2)
What Do You Ask?
400(1)
How Structured?
401(2)
Probes
403(2)
Sensitive or Threatening Questions
405(4)
Cultural Considerations
409(2)
Bringing It Home
411(1)
After the Interview
411(1)
That's a Wrap
411(1)
Transcribing
412(2)
Focus Group Interviews
414(10)
Some History
415(1)
When Are Focus Groups Useful?
416(1)
The Marketing Context
417(1)
The Academic Context
418(1)
The Public/Nonprofit Context
419(1)
Some Common Issues Across Focus Group Styles
420(4)
Oral Histories
424(10)
What's in the Box?
424(2)
Rectifying the Imbalance of Written History
426(1)
Archiving and Contextualizing the Past
427(1)
Past Meets Present
428(3)
When the Past Bites Back
431(3)
Summing Up and Looking Ahead
434(2)
Key Concepts
436(1)
Study Questions
436(1)
Chapter 11 Observation, Ethnography, and Participatory Action Research
437(50)
The Relationship Between Observer and Observed
438(25)
The Complete Participant
439(5)
The Complete Observer
444(1)
Observing on Home Turf
444(1)
Countering Reactivity
444(2)
Structured Observation
446(4)
The Complete Observer in the Field
450(1)
Gaining Access
450(3)
How and What Do You Observe?
453(7)
Mixing Participation and Observation
460(2)
The Participant-Observer Continuum Reconsidered
462(1)
Ethnography/Participant Observation/Field Research
463(10)
Understanding the Culture of the "Other"
464(1)
The Early Ethnographer
465(1)
Discovering the "Other" Among Us
466(1)
Multiple Forms of Contemporary Ethnography
467(1)
New Ethnographers
467(2)
New Ethnographies
469(4)
Participatory Action Research
473(9)
Some History
473(2)
General Principles
475(2)
The Power of Participatory Action Research
477(1)
Challenges and Concerns
478(1)
Square Pegs and Round Holes
478(1)
"Cultural Critique" vs "Activist Research"
479(1)
Community Diversity
480(1)
Empowerment for What?
480(1)
Two Examples
481(1)
Summing Up and Looking Ahead
482(2)
Key Concepts
484(1)
Study Questions
484(3)
Chapter 12 Archival Sources
487(44)
Content Analytic Approaches
488(25)
Some History
489(2)
A Broad Range of Materials
491(1)
Working With Written Materials
492(1)
Examining Mate Selection Through Personals Ads
492(8)
Working With Verbal Sources
500(1)
Examining Populism Through Political Speeches
500(5)
Working With Visual Sources
505(5)
Images of Indigenous People in Film
510(3)
Official Statistics and Secondary Data
513(8)
Official Statistics
513(1)
How Much Crime Is There?
514(2)
We Start With a "True" Score
516(1)
Was the Event Perceived as a Crime?
517(1)
Were the Police Contacted?
517(2)
How Do We Count?
519(1)
Final Comments on Crime Statistics
520(1)
Secondary Data Sources
521(4)
Alternative Views of Crime: Victimization Surveys
521(1)
Limited to Crimes With Victims
522(1)
Finding the Respondents
522(1)
Recall: Memory Fade and Telescoping
523(1)
Labeling the Event as a Crime
524(1)
But Will You Tell the Interviewer?
524(1)
Just Another "Take" on Crime
525(1)
Big Data
525(2)
Summing Up and Looking Ahead
527(2)
Key Concepts
529(1)
Study Questions
529(2)
Chapter 13 Analyzing Nonnumerical Data
531(32)
Coding and Memoing
532(6)
Coding
532(1)
Deductive Approaches
533(1)
Inductive Approaches
533(1)
Memoing
534(1)
Typologies
535(3)
Computer-Assisted Qualitative Data Analysis Software
538(3)
Technological Options
538(1)
Selecting a Software Package
539(2)
Using NVivo for Social and Health Research
541(13)
Project Planning and Organization
542(1)
Working With Data
543(1)
Labeling Nonnumeric Data Through Codes
544(2)
Coding Static Attributes Through Classifications
546(2)
Recording Observations Using Memos and Annotations
548(2)
Analyzing Data
550(1)
Retrieving Coding Using Point and Click
550(1)
Queries and Word Frequency Analysis
551(2)
Analysis Through Visualizations
553(1)
A Final Note on User Friendliness
553(1)
Analysis of Data From Mixed Methods Research
554(3)
Summing Up and Looking Ahead
557(4)
Key Concepts
561(1)
Study Questions
561(2)
Chapter 14 Analyzing Numerical Data
563(58)
Variables and Constants
564(1)
Levels of Measurement
565(4)
Nominal or Categorical Measures
566(1)
Ordinal Measures
566(1)
Interval-Level Measurement
567(1)
Ratio Measurement
567(1)
Levels of Measurement and Statistical Analysis
568(1)
Descriptive Statistics
569(19)
Depicting Distributions
570(6)
Measures of Central Tendency
576(1)
The Mode
576(1)
The Median
577(1)
The Mean
577(2)
Symmetry and Skew
579(1)
How to Lie With Statistics
579(4)
Measures of Variability
583(1)
The Range
583(2)
Standard Deviations and Variances
585(3)
Inferential Statistics
588(27)
Examining Relationships Among Categorical Variables
589(1)
Cross-tabulation and Contingency Tables
589(2)
The Chi-Square Distribution
591(6)
Examining Relationships Among Continuous Variables
597(1)
The Limits of Contingency Tables
597(1)
Scatter-plot Diagrams
598(2)
Quantifying the Relationship: Pearson's
600(6)
Examining Differences Between Categories
606(1)
A Slightly Different Way of Making Comparisons
606(1)
Z-Scores and the Normal Distribution
607(6)
Limits of Two-Variable Analyses
613(2)
Summing Up and Looking Ahead
615(2)
Key Concepts
617(1)
Study Questions
617(4)
Chapter 15 Disseminating Your Research
621(42)
The Written Report
622(20)
Some General Thoughts About Writing
623(1)
Get Comfortable
623(1)
Spew It Out
623(3)
Speak to Your Audience
626(1)
Pass It Around
627(1)
Telling Your Story
628(1)
Beginning
628(5)
Middle
633(6)
End
639(3)
Finish at the Beginning
642(1)
Creating Effective Presentations
642(11)
Venues for Presentation
642(1)
Conferences and Symposia
642(2)
Community and Stakeholder Audiences
644(1)
Elements of a Great Presentation
645(1)
You and Your Audience
645(1)
General Structure
645(2)
Avoiding Death by PowerPoint
647(4)
Getting Ready
651(1)
Dealing With Questions
652(1)
Disseminating Findings Through Social Media
653(8)
Understanding Why, Who, and How
653(2)
Identifying and Connecting to Your Audience
655(1)
Establishing a Social Media Presence or Identity
656(2)
Communicating Information to Your Audience
658(1)
Connecting With and Engaging Your Audience
659(1)
Some Final Thoughts and Considerations
660(1)
Summing Up and Looking Ahead
661(1)
Key Concepts
662(1)
Study Questions
662(1)
Appendix A Critical Values of Chi-square 663(2)
Appendix B Critical Values of r 665(2)
Appendix C Critical Values of t 667(2)
Glossary 669(22)
References 691(18)
Index 709
Ted Palys is a social science researcher, methodologist and Professor at Simon Fraser University in Vancouver, Canada. His methodological interests go beyond the pragmatics of design and analysis to include implications of research policy changes on the sociology of knowledge. One focus was on of the impacts of the development of national codes of ethics and review and how institutions dealt with legal threats to research confidentiality (see Protecting Research Confidentiality: What Happens When Law and Ethics Collide, 2014, with co-author John Lowman). He was one of five academics from across the country appointed by the Presidents of Canadas federal granting agencies to advise them how to improve Canadas federal ethics policys consideration of research in the social sciences and humanities. More recently, his concerns with surveillance capitalism as the economic model for the internet have led him into the realm of internet governance, and the threat that model holds for our ability to protect research participants while doing research in controversial areas that often have the greatest need for empirically-derived information on which to develop and evaluate law and policy alternatives.

 

Chris Atchison is an accomplished health and social science researcher who has spent over two decades designing, conducting, and administering a wide range of regional and national, inter-disciplinary research initiatives. He has published and taught extensively in the area of mixed methods research within the social and health sciences and is a leader in the development of computer assisted research design and analysis techniques. Throughout his career Chris has focused much of his attention on developing innovative methods for the study of a wide variety of social justice issues in an effort to help provide a space for the voices of stigmatized, marginalized and disenfranchised groups to be heard. He has contributed to projects in areas ranging from youth labour regulation, social welfare, health care provision, mental illness, Aboriginal identity and achievement and sex worker safety and security.