{"product_id":"research-basics-9781483387215","title":"Research Basics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eResearch Basics: Design to Data Analysis in Six Steps\u003c\/strong\u003e offers a fresh and creative approach to the research process based on author James V. Spickard's decades of teaching experience.Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model's simplicity and power, effectively connecting the hows and whys behind social science research. Students using this book will learn how to turn their research questions into results.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"An extremely \u003cstrong\u003ewell organized\u003c\/strong\u003e text covering basics of research design and methods that consistently uses the six steps in the text and in examples to assure that students understand.\" -- Anne Rothstein\u003cbr\u003e\"As Spickard explains, students tend to fear and shy away from research and particularly statistics courses. This textbook is designed in such a manner that it \u003cstrong\u003eengages \u003c\/strong\u003ethe student and keeps the student′s attention through case illustrations and an easy-to-read format.\" -- Manuel Zamora\u003cbr\u003e\"It incorporates much of what must be pieced together from multiple resources into one text. The \u003cstrong\u003esix-step strategy\u003c\/strong\u003e breaks the process down into manageable units, and it is clear to me how each step contributes to the overall process.\" -- Terry Webster\u003cbr\u003e\"It′s a textbook with lots of \u003cstrong\u003eunique features\u003c\/strong\u003e, such as question-method match, data type-analytical tool match, as well as ethical theory-practice match. It′s easy to follow and it acts as a textbook and a practical guide for undergraduate students. Chapters are organized as cooking recipes and \u003cstrong\u003eexamples are interesting\u003c\/strong\u003e and inspiring.\" -- Lei Zhang\u003cbr\u003e\"Scholarly but not threatening to students who are scared of the word \"research\". The layout, language, and images \u003cstrong\u003emake a challenging subject easier to understand\u003c\/strong\u003e and much less overwhelming.\" -- Timothy Gunnells\u003cbr\u003e\"Research is hard. This text helps explain a complicated process and guides students through research design in simpler terms. \u003cstrong\u003eAs an instructor, I appreciate authors who understand the challenges associated with teaching research methods courses\u003c\/strong\u003e.\" -- Marquita Walker\u003cbr\u003e\"While many research design texts struggle with integrating statistical applications within the broader design process, this text is a notable exception.\" -- Ryan\tMcGill\u003cbr\u003e\"A logical and thoughtfully designed text that brings together a preferred approach with the right amount of rigor.\" -- Robert H\tBuckham\u003cbr\u003e\"A refreshing, holistic view of introductory research methods.\"  -- Stephanie Morgan\u003cbr\u003e\"This is an excellent introductory text for students that are interested in quantitative analysis. A nice feature of the book is that incorporates the increasingly important aspect of ethics in data collection and analysis.\" -- Andreas Kern\u003cbr\u003e\"Clear, concise, conversational introduction to the basic principles and activities of research. Useful for students of research at any stage, and especially appropriate for students who are new to the design and performance of research projects.\" -- Neil Coulter\u003cbr\u003e·         \"Aimed at being easy to understand and to take some of the ‘scary’ out of the research process.\" -- Jessica Rack\u003cbr\u003e\"Concise, comprehensive, and practical; its emphasis on ethics is clearly relevant within the context of studying human behavior within societies around the world.\" -- Patrick Webb\u003cbr\u003e\"James Spickard′s SAGE′s Research Basics: Design to Data Analysis in Six Steps provides students the ability, confidence, and skill set to take a complex subject and make it theirs by owning it.  How you ask?  The text addresses the ′fear′ of research and its ′flight′ aspect; yet, by providing a moment to laugh and self-reflect both instructor and student become authentic partners in research methods for community change.\" -- Janine Spinola Taylor\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFor 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","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":51535180398935,"sku":"9781483387215","price":137.53,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781483387215.jpg?v=1755859667","url":"https:\/\/bookcurl.com\/products\/research-basics-9781483387215","provider":"Book Curl","version":"1.0","type":"link"}