Seven Rules for Social Research

Zusatztext " Seven Rules for Social Research , teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. . . . Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course." Informationen zum Autor Glenn Firebaugh Klappentext "Anyone who wants to learn how to do social research better read this book. Written for the new student and the seasoned researcher alike (one is never too old, after all), Seven Rules for Social Research hits that sweet but till-now-neglected spot between overly simplified methods texts and advanced statistical manuals. Stick with Firebaugh's seven rules and you won't go wrong." --Dalton Conley, New York University "A valuable contribution. Firebaugh masterfully surveys a wide variety of key issues at the intersection of statistical theory, research design, and empirical analysis. His book can help improve the quality of social scientific research." --David Strang, Cornell University "The audience for this book is great. Most graduate programs require second- or third-year students to write some type of research paper. This book is perfect for the task." --Christopher Winship, Harvard University Zusammenfassung Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research. Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course. The Seven Rules There should be the possibility of surprise in social research Look for differences that make a difference, and report them. Build reality checks into your research. Replicate where possible. Compare like with like. Use panel data to study individual change and repeated cross-section data to study social change. Let method be the servant, not the master. Inhaltsverzeichnis 7895460 ...

"Seven Rules for Social Research, teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. . . . Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course."

Autorentext
Glenn Firebaugh

Klappentext
"Anyone who wants to learn how to do social research better read this book. Written for the new student and the seasoned researcher alike (one is never too old, after all), Seven Rules for Social Research hits that sweet but till-now-neglected spot between overly simplified methods texts and advanced statistical manuals. Stick with Firebaugh's seven rules and you won't go wrong."--Dalton Conley, New York University"A valuable contribution. Firebaugh masterfully surveys a wide variety of key issues at the intersection of statistical theory, research design, and empirical analysis. His book can help improve the quality of social scientific research."--David Strang, Cornell University"The audience for this book is great. Most graduate programs require second- or third-year students to write some type of research paper. This book is perfect for the task."--Christopher Winship, Harvard University

Zusammenfassung
Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without.


Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research.



Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course.


The Seven Rules


There should be the possibility of surprise in social research
Look for differences that make a difference, and report them.
Build reality checks into your research.
Replicate where possible.
Compare like with like.
Use panel data to study individual change and repeated cross-section data to study social change.
Let method be the servant, not the master.


Inhalt
Preface xi Chapter 1: The First Rule There Should Be the Possibility of Surprise in Social Research 1 Selecting a Research Question 2 Researchable Questions 2 Interesting Questions 4 Selecting a Sample 18 Samples in Qualitative Studies 23 Is Meaningful Social Research Possible? 26 Summary 29 Student Exercises on Rule 1 31 Chapter 2: The Second Rule Look for Differences That Make a Difference, and Report Them 36 You Can't Explain a Variable with a Constant 37 Maximizing Variance to Find the Effect of a Cause 39 Size versus Statistical Significance 41 Comparing Effects Where There Is a Common Metric 42 Calibration: Converting Explanatory Variables to a Common Metric 44 Substantive Profiling: The Use of Telling Comparisons 46 Visual Presentation of Results 51 Policy Importance 53 Importance for Theory 54 Conclusion 56 Student Exercises on Rule 2 58 Chapter 3: The Third Rule Build Reality Checks into Your Research 64 Internal Reality Checks 65 Reality Checks on Data--Dubious Values and Incomplete Data 65 Reality Checks on Measures--Aim for Consistency in Conceptualization and Measurement 69 Reality Checks on Models--The Formal Equivalence Check 71 External Reality Checks: Validation with Other Data and Methods 76 Using Causal-Process Observations to Test Plausibility of Results 77 Using Ethnographic Data to Help Interpret Survey Results 79 Other Examples of Multiple-Method Research 81 Concluding Remark 82 Student Exercises on Rule 3 84 Chapter 4: The Fourth Rule Replicate Where Possible 90 Sources of Uncertainty in Social Research 91 Overview: From Population to Sample and Back to Population 93 Measurement Error as a Source of Uncertainty 100 Illustration: Two Methods for Estimating Global Poverty…

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