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1. Seven rules for social research [2008]
 Firebaugh, Glenn.
 Princeton : Princeton University Press, c2008.
 Description
 Book — xiii, 257 p. : ill. ; 25 cm.
 Summary

 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 CausalProcess Observations to Test Plausibility of Results 77 Using Ethnographic Data to Help Interpret Survey Results 79 Other Examples of MultipleMethod 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 101 Toward a Solution: Identical Analyses of Parallel Data Sets 105 Metaanalysis: Synthesizing Results Formally across Studies 106 Summary: Your Confidence Intervals Are Too Narrow 109 Student Exercises on Rule 4 111
 Chapter 5: The Fifth Rule Compare Like with Like 120 Correlation and Causality 121 Types of Strategies for Comparing Like with Like 129 Matching versus Looking for Differences 130 The Standard Regression Method for Comparing Like with Like 131 Critique of the Standard Linear Regression Strategy 132 Comparing Like with Like Through FixedEffects Methods 134 FirstDifference Models: Subtracting Out the Effects of Confounding Variables 134 Special Case: GrowthRate Models 138 Sibling Models 140 Comparing Like with Like through Matching on Measured Variables 146 Exact Matching 146 PropensityScore Method 147 Matching as a Preprocessing Strategy for Reducing Model Dependence 151 Comparing Like with Like through Naturally Occurring Random Assignment 152 Instrumental Variables: Matching through Partial Random Assignment 153 Matching Through Naturally Occurring Random Assignment to the Treatment Group 158 Comparison of Strategies for Comparing Like with Like 159 Conclusion 162 Student Exercises on Rule 5 165
 Chapter 6: The Sixth Rule Use Panel Data to Study Individual Change and Repeated Crosssection Data to Study Social Change 172 Analytic Differences between Panel and Repeated Crosssection Data 173 Three General Questions about Change 175 ChangingEffect Models,
 Part 1: Two Points in Time 176 ChangingEffect Models,
 Part 2: Multilevel Models with Time as the Context 182 What We Want to Know 183 The General Multilevel Model 183 Convergence Models 185 The Sign Test for Convergence: Comparing Your fs and ds 186 Convergence Model versus ChangingEffect Model 191 Bridging Individual and Social Change: Estimating Cohort Replacement Effects 195 An Accounting Scheme for Social Change 197 Linear Decomposition Method 198 Summary 201 Student Exercises on Rule 6 203
 Chapter 7: The Seventh Rule Let Method Be the Servant, Not the Master 207 Obsession with Regression 209 Naturally Occurring Random Assignment, Again 209 Decomposition Work in the Social Sciences 218 Decomposition of Variance and Inequality 220 Decomposition of Segregation Indexes 222 The Effects of Social Context 226 Context Effects as Objects of Study 227 Context Effects as Nuisance 230 Critical Tests in Social Research 231
 Conclusion 235 Student Exercises on Rule 7 236 References 241 Index 253.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
 Firebaugh, Glenn.
 Cambridge, Mass. : Harvard University Press, 2003.
 Description
 Book — 1 online resource (xiii, 257 pages) : illustrations Digital: text file; PDF.
 Summary

 Preface PART I. THE NEW GEOGRAPHY HYPOTHESIS
 1. Massive Global Income Inequality: When Did It Arise and Why Does It Matter? The Growing World Income Pie Other Welfare Changes The Rise in Income Disparities over the Nineteenth and Twentieth Centuries Why Nations? Why Not Focus on Poverty Rather than on Inequality?
 2. The Reversal of Historical Inequality Trends Myths of the Trade Protest Model Causes of the Reversal: An Overview The Inequality Transition PART II. MEASUREMENT
 3. How Is National Income Measured, and Can We Trust the Data? How Is National Income Measured? Are Income Estimates Plausible? Are the Historical Income Data Reliable Enough? Are the Contemporary Income Data Reliable Enough? Measuring Income over Time Appendix A3: Adjusting for Household Economies in Poor.
 (source: Nielsen Book Data)
 Firebaugh, Glenn.
 Cambridge, Mass. : Harvard University Press, 2003.
 Description
 Book — xiii, 257 p. : ill. ; 25 cm.
 Summary

The surprising finding of this work is that, contrary to conventional wisdom, global income inequality is decreasing. Critics of globalization and others maintain that the spread of consumer capitalism is dramatically polarizing the worldwide distribution of income. But, as the demographer Glenn Firebaugh shows, income inequality for the world peaked in the late 20th century and is now heading downward because of declining income inequality across nations. Furthermore, as income inequality declines across nations, it is rising within nations (though not as rapidly as it is declining across nations). Firebaugh claims that this historic transition represents a new geography of global income inequality in the 21st century. This book documents the new geography, describes its causes and explains why other analysts have missed one of the defining features of our era  a transition in inequality that is reducing the importance of where a person is born in determining his or her future wellbeing.
(source: Nielsen Book Data)
The surprising finding of this book is that global income inequality is decreasing. Critics of globalisation and others maintain that the spread of consumer capitalism is dramatically polarising the worldwide distribution of income. But as the demographer Glenn Firebaugh carefully shows, income inequality for the world peaked in the late 20th Century and is now heading downward because of declining income inequality across nations. Furthermore, as income inequality declines across nations, it is rising within nations. Firebaugh claims that this historic transition represents a new geography of global income inequality in the 21st Century.
(source: Nielsen Book Data)
 Online
4. Analyzing repeated surveys [1997]
 Firebaugh, Glenn.
 Thousand Oaks, Calif. : Sage Publications, 1997.
 Description
 Book — vii, 72 p. ; 22 cm.
 Summary

 Introduction Distinguishing Age, Period, and Cohort Effects Aggregate Trends Decomposing Aggregate Trends A General Model for Decomposing Aggregate Change Detecting Change in IndividualLevel Relationships Summary Analyzing Social Change.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Green Library, SAL3 (offcampus storage)
Green Library  Status 

Find it Stacks  
HN29 .F54 1997  Unknown 
Find it Velma Denning Room (Social Science Data and Software)  
H61 .S23 NO.115  Inlibrary use 
SAL3 (offcampus storage)  Status 

Stacks  Request 
HN29 .F54 1997  Available 
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