書籍詳細

書籍詳細




洋書

調査の基本:設計からデータ解析6つのステップ

Research Basics : Design to Data Analysis in Six Steps

Spickard, James V.

Sage 2016/12
432 p. 24 cm   
装丁: Pap   
版表示など: pap.    装丁について
テキストの言語: ENG    出版国: GB
ISBN: 9781483387215
KCN: 1025189111
紀伊國屋書店 選定タイトル
標準価格:¥13,656(本体 ¥12,415)   
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納期について
DDC: 300
KDC: C11 社会調査法・統計学
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Annotation

Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it.

Full Description

Offers a fresh and creative approach to the research process based on author James V. Spickard's decades of teaching experience.
Detailed information

Table of Contents

For Instructors: Why This Book? What Lies Ahead Acknowledgments About the Author Introduction Why a Six-Step Formula? Looking Ahead PART ONE THE SIX STEPS Chapter 1 Step 1: Develop a Good Research Question Start With a Research Topic From Topic to Question An Example: Mass Transit Making Decisions Search the Literature Recraft Your Research Question Questions Based on the Literature Three More Possibilities Start Your Research Proposal The Parts of a Proposal A Proposal in Brief: The Concept Paper Review Questions Notes Chapter 2 Step 2: Choose a Logical Structure for Your Research Three Examples 1. Comparing Outcomes 2. Systematic Description 3. Seeking Correlations Ten Logical Structures for Research 1. True Experiments 2. Quasi-Experiments 3. Ex Post Facto Research 4. Correlational Research 5. Descriptive Research 6. Case Studies 7. Historical Research 8. Longitudinal Research 9. Meta-Analysis 10. Action Research Matching Logical Structure to the Research Question Review Questions Notes Chapter 3 Step 3: Identify the Type of Data You Need Fourteen Types of Data 1. Acts, Behavior, or Events 2. Reports of Acts, Behavior, or Events 3. Economic Data 4. Organizational Data 5. Demographic Data 6. Self-Identity 7. Shallow Opinions and Attitudes 8. Deeply Held Opinions and Attitudes 9. Personal Feelings 10. Cultural Knowledge 11. Expert Knowledge 12. Personal and Psychological Traits 13. Experience as It Presents Itself to Consciousness 14. Hidden Social Patterns Review Questions Notes Chapter 4 Step 4: Pick a Data Collection Method Match Your Method to Your Data Data Type 1: Acts, Behavior, or Events Data Type 2: Reports of Acts, Behavior, or Events Data Types 3, 4, and 5: Economic, Organizational, and Demographic Data Data Type 6: Self-Identity Data Types 7 and 8: Shallow and Deeply Held Opinions and Attitudes Data Type 9: Personal Feelings Three Examples (that include data types 10-12) Example 1: Mass Transit and Property Values Example 2: Mass Transit and Street Life Example 3: Best Places to Work Data Type 13: Experience as It Presents Itself to Consciousness Hidden Social Patterns Research Ethics Unethical Research Implementing Ethical Practices Institutional Review Boards Review Questions Notes Chapter 5 Step 5: Choose Your Data Collection Site Demographic and Economic Data Opinions, Identities, and Reports of Acts at a Shallow Level Populations and Samples Sample Size, Margin of Error, and Confidence Level Observable Behavior Deeply Held Opinions and Attitudes Cultural and Expert Knowledge Hidden Social Patterns The Remaining Data Types Review Questions Notes Chapter 6 Step 6: Pick a Data Analysis Method Preliminary Questions What Kind of Analysis Does Your Research Question Require? What Form Does Your Data Take? What Is Your Unit of Observation? What Is Your Unit of Analysis? Working With Numeric Data: Describing Working With Numeric Data: Comparing Interval/Ratio Data Ordinal and Categorical Data Identifying Cause What Statistical Test Should I Use? Three Fallacies Working With Qualitative Data Respondent-Centered Versus Researcher-Centered Analysis Coding Internal Versus External Coding Qualitative Data Analysis (QDA) Software Warnings Review Questions Summarizing the Six Steps Notes PART TWO COLLECTING AND ANALYZING DIFFERENT TYPES OF DATA Chapter 7 Comparing: Economic, Demographic, and Organizational Data About Comparing Comparing San Antonio and Portland Comparing the 50 U.S. States About Correlations Three Examples Comparing Places: Do Walkable Neighborhoods Improve Health? Comparing Organizations: Does Treating Employees Well Increase Company Performance? Comparing Schools: Do Charter Schools Improve Student Test Scores? Research Ethics Review Questions Notes Chapter 8 Surveying: Shallow Opinions, Identities, and Reports of Acts Three Reminders Two Examples Studying School Safety Kids' Attitudes Toward Reading Survey Data Analysis Analyzing Interval/Ratio Survey Results Analyzing Ordinal and Categorical Data Practical Matters Creating Your Questionnaire Sampling (Again) Surveying Online Research Ethics Review Questions Notes Chapter 9 Interviewing: Deep Talk to Gather Several Types of Data Hermeneutic Interviews An Example: "Motherloss" How to Write an Interview Protocol Coding Your Data Interviews With Experts Critical Incident Interviews Focus Groups Phenomenological Interviews An Example How Is It Done? Other Types of Data How Many Subjects? Research Ethics Review Questions Notes Chapter 10 Scales: Looking for Underlying Traits Scales of Psychological Well-Being Creating Scales Using the Scales Analyzing Scale Research T-Tests and Analysis of Variance Control Variables Research Ethics Review Questions Notes Chapter 11 Recording Behavior: Acts and Reports of Acts Watching People Watching Gender Speech Collecting Self-Reports A Variation: The Beeper Studies Watching Animals Watching Chimps Ravens and Elephant-Shrews What If They Hide? Experiments Experiments About Stereotype Threat Experiments About Discrimination Rules for Experiments Research Ethics Review Questions Notes Chapter 12 Finding Hidden Social Patterns: In Life, Texts, and Popular Culture About Hidden Patterns Analyzing Texts Dreams as Texts Other Texts Analyzing Discourses Critical Discourse Analysis Two Examples Analyzing Popular Culture: The Soaps Research Ethics Review Questions Notes Chapter 13 Ethnography: Exploring Cultural and Social Scenes The Three Goals Goal One: Seeing the World as the Participants See It Goal Two: Watching What Participants Do On Taking Field Notes Goal Three: Understanding Hidden Patterns What Doesn't Matter Steps to a Successful Ethnography Gaining Access Developing Rapport Listening to Language Being an Observed Observer What About Objectivity? Writing Your Results A Word About Grounded Theory Research Ethics Review Questions Notes Chapter 14 Extended Example: Counting the Homeless What Caused the Homeless Crisis? Who Is Homeless? How Can We Find and Count Street Homeless? Peter Rossi's Chicago Count Martha Burt's Weeklong Method Counting San Bernardino Conflicting Results Correcting National Figures Research Ethics Reflections Summary of the Six Steps Notes Research Guides and Handouts Six-Steps Graphic: From Research Question to Data Analysis What Is a Concept Paper? How to Choose a Data Collection Method A Template for Field Notes How to Write an Interview Protocol How Many Subjects? (for interview studies) Interview Rule-of-Thumb Flowchart for Nonrandom Samples What Statistical Tests Should I Use? Glossary Author Index Subject Index