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      New methods for measuring and analyzing segregation

      한글로보기

      https://www.riss.kr/link?id=M15446219

      • 저자
      • 발행사항

        Cham, Switzerland : Springer Open, [2017] ⓒ2017

      • 발행연도

        2017

      • 작성언어

        영어

      • 주제어
      • DDC

        363.51 판사항(23)

      • ISSN

        2215-1990 (electronic)

      • ISBN

        9783319413020
        3319413023
        9783319413044 (eBook)
        331941304X (eBook)

      • 자료형태

        단행본(다권본)

      • 발행국(도시)

        스위스

      • 서명/저자사항

        New methods for measuring and analyzing segregation / Mark Fossett

      • 형태사항

        xxv, 334 pages : illustrations ; 25 cm

      • 총서사항

        (The) springer series on demographic methods and population analysis, 1389-6784 ; volume 42 Springer series on demographic methods and population analysis ; volume 42

      • 일반주기명

        Includes bibliographical references

      • 소장기관
        • 국립중앙도서관 국립중앙도서관 우편복사 서비스
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      목차 (Table of Contents)

      • CONTENTS
      • 1 Introduction and Goals = 1
      • References = 10
      • 2 Alternative Formulas for Selected Indices = 11
      • References = 16
      • CONTENTS
      • 1 Introduction and Goals = 1
      • References = 10
      • 2 Alternative Formulas for Selected Indices = 11
      • References = 16
      • 3 Overview of the "Difference of Means" Framework = 19
      • 3.1 Index Formulas : The Current State of Affairs = 19
      • 3.2 The Difference of Means Formulation - The General Approach = 22
      • 3.3 Additional Preliminary Remarks on Implementation = 24
      • References = 25
      • 4 Difference of Means Formulations for Selected Indices = 27
      • 4.1 Scoring Residential Outcomes (y) for the Delta or Dissimilarity Index (D) = 27
      • 4.2 Scoring Residential Outcomes (y) for the Gini Index (G) = 31
      • 4.3 The Delta or Dissimilarity Index (D) as a Crude Version of G = 32
      • 4.4 Scoring Residential Outcomes (y) for the Separation Index (S) = 33
      • 4.5 A Side Comment on the Separation Index (S) and Uneven Distribution = 36
      • 4.6 Scoring Residential Outcomes (y) for the Theil Index (H) = 39
      • 4.7 Scoring Residential Outcomes (y) for the Hutchens Square Root Index (R) = 40
      • References = 43
      • 5 Index Differences in Registering Area Group Proportions = 45
      • 5.1 Segregation as Group Differences in Individual Residential Attainments = 46
      • 5.2 Implications for Sensitivity to Separation and Polarization = 52
      • References = 56
      • 6 Empirical Relationships Among Indices = 57
      • 6.1 When Do Indices Agree? When Can They Disagree? = 61
      • 6.2 Why Does Relative Group Size Matter? = 71
      • References = 75
      • 7 Distinctions Between Displacement and Separation = 77
      • 7.1 The Increasing Practical Importance of the Distinction Between Displacement and Separation = 79
      • 7.2 Prototypical Segregation and Concentrated Versus Dispersed Displacement = 81
      • 7.2.1 Prototypical Segregation = 82
      • 7.3 Clarifying the Logical Potential for D-S Concordance and Discordance - Analysis of Exchanges = 86
      • 7.3.1 Overview of D-S Differences in Responding to Integration-Promoting Exchanges = 88
      • 7.3.2 Examples of D-S Differences in Responding to Integration-Promoting Exchanges = 90
      • 7.3.3 Implications of Analysis of Example Exchanges = 95
      • 7.4 Clarifying the Potential for D-S Concordance and Discordance - Analytic Models = 97
      • 7.4.1 Examples of Calculating Values of S$$His_{Min}$$ Given Values of D and P = 100
      • 7.4.2 Examining D, S$$His_{Max}$$, and S$$His_{Min}$$ over Varying Combinations of D and P = 105
      • 7.4.3 Implications of Findings from Analytic Models for S$$His_{Max}$$ and S$$His_{Min}$$ = 108
      • 7.5 Is Separation a Distinct Dimension of Segregation? = 108
      • References = 115
      • 8 Further Comments on Differences Between Displacement and Separation = 117
      • 8.1 Revisiting the Empirical Relationships of Displacement (D) and Separation (S) = 118
      • 8.2 Scenarios for How D and S Discrepancies Can Arise = 122
      • 8.3 A Practical Issue When Comparing D and S - Size of Spatial Units = 127
      • 8.3.1 A Case Study of White-Black Segregation Cullman County Alabama = 130
      • 8.3.2 A Case Study of White-Minority Segregation in Palacios TX = 132
      • 8.3.3 Reiterating the Importance of Using "Right-Sized" Spatial Units = 133
      • 8.3.4 More Practical Guidance for Using S = 135
      • 8.4 A Simple Index of Polarization = 136
      • References = 137
      • 9 Unifying Micro-level and Macro-level Analyses of Segregation = 139
      • 9.1 New Ways to Work with Detailed Summary File Tabulations = 141
      • 9.2 Some Preliminaries = 142
      • 9.3 Substantive Findings = 146
      • 9.4 Opportunities to Perform Standardization and Components Analysis = 148
      • 9.5 Comparison with Previous Approaches to "Taking Account" of Non-racial Social Characteristics = 150
      • 9.6 Aggregate-Level Controls for Micro-level Determinants of Residential Outcomes = 152
      • 9.7 New Interpretations of Index Scores Based on Bivariate Regression Analysis = 156
      • 9.8 Multivariate Segregation Attainment Analysis (SAA) = 161
      • 9.9 Unifying Aggregate Segregation Studies and Studies of Individual-Level Residential Attainment = 170
      • 9.10 New Possibilities for Investigating Segregation Using Restricted Data = 172
      • 9.11 An Example Analysis Using Restricted Microdata = 174
      • References = 178
      • 10 New Options for Investigating Macro-level Variation in Segregation = 181
      • 10.1 New Specifications for Conducting Comparative and/or Trend Analyses of Segregation = 181
      • References = 189
      • 11 Aspatial and Spatial Applications of Indices of Uneven Distribution = 191
      • References = 193
      • 12 Relevance of Individual-Level Residential Outcomes for Describing Segregation = 195
      • 12.1 An Example Analysis of Segregation and Exposure to Neighborhood Poverty = 202
      • 13 Relevance of Individual-Level Residential Outcomes for Segregation Theory = 207 (4)
      • References = 209
      • 14 Index Bias and Current Practices = 211
      • 14.1 Overview of the Issue of Index Bias = 214
      • 14.1.1 Effective Neighborhood Size (ENS) : A Further Complication = 218
      • 14.1.2 The Practical Relevance of Variation in Effective Neighborhood Size = 220
      • 14.1.3 Random Distribution Is a Valid, Useful, and Conceptually Desirable Reference Point = 221
      • 14.2 Prevailing Practices for Avoiding Complications Associated with Index Bias = 222
      • 14.2.1 Unwelcome Consequences of Prevailing Practices = 223
      • 14.2.2 Efficacy of Prevailing Practices : Screening Cases on Minority Population Size = 227
      • 14.2.3 Efficacy of Prevailing Practices : Weighting Cases by Minority Population Size = 229
      • 14.2.4 An Aside on Weighting Cases by Minority Population Size = 230
      • 14.2.5 Summing Up Comments on Prevailing Practices = 232
      • 14.3 Limitations of Previous Approaches for Dealing Directly with Index Bias = 232
      • 14.4 Summary = 234
      • References = 235
      • 15 New Options for Understanding and Dealing with Index Bias = 237
      • 15.1 The Source of the Initial Insight = 239
      • 15.2 Building on the Initial Insight = 242
      • 15.3 A More Detailed Exposition of Bias in the Separation Index = 243
      • 15.4 Situating This Result and Its Implications in the Difference of Means Framework = 246
      • 15.4.1 Expected Distributions of p' and y' Under Random Assignment = 247
      • 15.5 Reviewing a Simple Example in Detail = 247
      • 15.5.1 Additional Reflections on Results Presented in Tables 15.1 and 15.2 = 253
      • 15.6 Summary = 254
      • References = 254
      • 16 Comparing Behavior of Unbiased and Standard Versions of Popular Indices = 257
      • 16.1 Documenting the Attractive Behavior of Unbiased Versions of Indices of Uneven Distribution = 263
      • 16.1.1 Summary of Behavior of Unbiased Indices = 268
      • 16.2 Documenting Additional Desirable Behavior of Unbiased Indices Based on the Difference of Means Formulation = 268
      • 16.3 Conceptual and Practical Issues and Potential Impact on Research = 275
      • References = 279
      • 17 Final Comments = 281
      • References = 284
      • Appendices = 285
      • Appendix A : Summary of Notation and Conventions = 285
      • Pairwise Calculations = 285
      • Reference and Comparison Groups (Groups 1 and 2) = 285
      • City-Wide Terms for Pairwise Calculations = 286
      • Area-Specific Terms for Pairwise Calculations = 286
      • Terms for Individuals or Households = 286
      • Selected Terms and Conventions Relevant for the Gini Index (G) = 287
      • Selected Terms and Conventions Relevant for the Theil Entropy Index (H) = 287
      • Selected Terms and Conventions Relevant for the Atkinson Index (A) = 287
      • Appendix B : Formulating Indices of Uneven Distribution as Overall Averages of Individual-Level Residential Outcomes = 288
      • Focusing Attention on Individual-Level Residential Outcomes = 289
      • Summary of Difference of Means Formulations = 292
      • Appendix C : Establishing the Scaling Functions y=f (p) Needed to Cast the Gini Index (G) and the Dissimilarity Index (D) as Differences of Group Means on Scaled Pairwise Contact = 293
      • The General Task = 294
      • Introducing the Function y=f (p) for the Gini Index (G) = 295
      • Calculating G as a Difference of Means = 297
      • Deriving G as a Difference of Means = 298
      • A Brief Demonstration = 299
      • Getting on with the Derivation = 300
      • The Dissimilarity Index (D) - A Special Case of the Gini Index (G) = 308
      • Alternative Graphical Explorations of Relative Rank Position = 315
      • The Nature of the Y-P Relationship for G = 318
      • Appendix D : Establishing the Scaling Function y=f (p) Needed to Cast the Separation Index (S) as a Difference of Group Means on Scaled Pairwise Contact = 320
      • Variance Analysis = 323
      • Formulation as a Difference of Means = 326
      • Appendix E : Establishing the Scaling Function y=f (p) Needed to Cast the Theil Entropy Index (H) as a Difference of Group Means on Scaled Pairwise Contact = 327
      • Adjusting the Range to 0-1 = 329
      • A Loose End When p=P = 329
      • Appendix F : Establishing the Scaling Function y=f (p) Needed to Cast the Hutchens' Square Root Index (R) as a Difference of Group Means on Scaled Pairwise Contact = 330
      • Adjusting the Range to 0-1 = 332
      • A Loose End When p=P = 332
      • An Observation = 333
      • References = 333
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