Sociological methodology  v. 19. 1989 ~ v. 47. 2017

editor, Clifford C. Clogg ; advisory editors, Gerhand Arminger ... [et al.]

"Sociological Methodology 32" is a compendium of new and sometimes controversial advances in social science methodology. Contributions are diverse and have something useful and often surprising to say about a wide range of topics: A symposium by four legal scholars considers some practical but remarkably complex legal and ethical issues that are raised whenever researchers collect information about individuals that is not in the public domain. Common practice may be the worst thing a researcher can do to protect data confidentiality, or it might be the right thing to do after all, say these authors. Three authors propose changes in the way geographic segregation should be measured. These new measures prepare sociology for the increasing complexity of American ethnic and racial residential patterns, and for expected improvements in the quantity and quality of geographic information about survey respondents.Theory and method are often seen as polar opposites in sociology, but there are methods for theory-building and theories of methodology. Four authors present new methods for using formal logic to construct sociological theories and for using research findings to modify formal theories. Field studies and statistical analysis of survey data are often characterized as alternatives to each other. One author presents a systematic method for combining the two techniques, to the mutual benefit of them both. Three other authors make significant contributions to the statistical methodology. Four authors contribute to the growing set of tools and techniques for understanding network data. In short, "Sociological Methodology 2002" holds something of value - and an interesting mix of lively controversy too - for nearly everyone who participates in the enterprise of sociological research.

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"Sociological Methodology", published on behalf of the American Sociological Association is a valuable aid to the understanding and use of methodologies, providing techniques and perspectives on research that can be used to strengthen sociological and other types of social science reasoning. The journal is of interest to those involved in the study of statistics, psychometrics, ecometrics and political methodology, as well as to methodologists in sociology. Each annual volume is an important record of the current state of social science methodology, and a crucial addition for social research libraries worldwide.

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In this, our first volume of Sociological Methodology, we have grouped the articles into four sections into which the papers naturally seemed to fit. The first section is entitled "Statistical Models: Prediction, Model Evaluation, and Missing Data." Papers in this section build on the long-standing tradition in sociology that relies on statistical models based on observational data, and they focus on important issues in prediction, model evaluation, and missing data. In "On the Assignment of Individuals to Latent Classes," Leo A. Goodman compares two main competing procedures as to how individuals in a multiway contingency table can be assigned to latent classes in a latent class analysis. Andrew Gelman and Iain Pardoe, in "Average Predictive Comparisons for Models with Nonlinearity, Interactions, and Variance Components," discuss the problem of predictions from regression models that are nonlinear, multilevel, and interactive. In "Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models," Ke-Hai Yuan and Peter M. Bentler propose methods for estimating and evaluating structural equation models at separate levels for multilevel data. Finally, in "Regression with Missing Ys:AnImproved Strategy for Analyzing Multiply Imputed Data," Paul T. von Hippel offers concrete and sensible advice when dealing with missing data on the dependent variable in regression analysis. The second section of the volume focuses on data issues, with the title of "Data Collection and Data Quality." In this section, we include two papers. In "Calibrating Measures ofFamily Activities between Large-and Small-Scale Datasets," Nora Broege, Ann Owens, Anthony P. Graesch, Jeanne E. Arnold, and Barbara Schneider compare data from one large survey and data from one in-depth study on time use and activities in families. In "Extensions of Respondent-Driven Sampling: Analyzing Continuous Variables and Controlling for Differential EDITOR'S INTRODUCTION xix Recruitment," Douglas D. Heckathorn extends his earlier work (with collaborators) on respondent-driven sampling to the case of continuous variables and controlling for differential recruitment. Social network is one of the key research areas in contemporary sociology.We are proud to present three methodological contributions to network analysis in this volume, under the section heading of "Methods for Analyzing Social Network Data. " In "Very Local Structure in Social Networks," Katherine Faust asks the important question of to what extent empirical social works can be accounted for by simple local structural properties, and her answer is "a lot." The other two papers are authored by Carter T. Butts, enjoying the rare luxury of publishing two papers in a single issue of a journal, which in our case is also a single volume! In "Permutation Models for Relational Data," Butts proposes a class of models for measuring the association among dyadic structures. In "Models for Generalized Location Systems," he proposes a class of broad, theoretically innovative models that are potentially usable for studies in many areas, including occupational stratification and residential segregation. Finally, we continue with the theme of the 2005 volume, which featured an important contribution by James Heckman, on causal inference in social science. The present section on the same topic contains two papers. "Indices ofRobustness for SampleRepresentation" by Kenneth Frank and Kyung-Seok Min expands the notation of robustness from the traditional concern with omitted variables to concerns with out-of-scope extrapolation. In "Identification and Estimation of Causal Effects with Time-Varying Treatments and Time-Varying Outcomes," Jennie E. Brand and Yu Xie extend the counterfactual framework in causal inference to a longitudinal setting, focusing on the problem of the uncertainty reference groups, and they propose a class of estimands with a forward-looking principle.

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Measurement and analysis are the key analytic tasks in empirical sociological research. "Sociological Methodology Volume 33" includes a wide range of fresh solutions to old and new measurement and analysis problems, including the 'reference category problem,' the problems involved in measuring and analyzing time data in various research contexts, and problems that arise when measuring and analyzing the results of network analysis. It introduces innovative solutions to both new and old problems with the key analytic tasks in empirical sociological research - measurement an analysis. It provides important contributions to a wide range of sociological research methods.

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Methodological questions come in many sizes. For those who like truly enormous questions, and for those who simply cannot avoid big questions, this volume of Sociological Methodology offers a major statement by James J. Heckman on the measurement of causal effects. Big questions and big answers require big discussions. Michael E. Sobel provides the necessary critique in a discussion that might serve as a chapter in its own right, were it not focused on Heckman's chapter. But smaller questions are important too, and the answers to them often spell the difference between ambiguous findings and successful, useful research. In this volume: Rashotte, Webster, and Whitmeyer remind readers that small differences in instruction wording can produce substantial differences in findings. Lynch and Brown give readers new methods for calculating the life table quantities that are the mainstay not only of formal demography but many applied social science topics and policy research subjects that rely on the life table. Bhati proposes new methods for examining the spatial distribution of rare events - a subject that has frustrated those who study not only crime but epidemiology and related topics. Handcock, Rendall, and Cheadle contribute a paper that demonstrates useful methods for incorporating into a multivariate analysis extraneously learned information about a bivariate relationship. In short, Sociological Methodology 2005 contains important contributions to a wide range of sociological research methods. Social researchers of all varieties are sure to find much research in this volume.

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Sociological Methodology 1999 is a valuable aid to the understanding and application of methodologies in the social sciences. Its chapters include presentations of new techniques for gathering and analyzing data, as well as discussions giving perspectives on current research practices. All can be used to strengthen sociological and other types of social science reasoning.The journal is of interest to those involved in the study of statistics, psychometrics, econometrics, and political methodology, as well as to methodologists in sociology. Each annual volume is an important record of the current state of social science methodology and a crucial addition for social research libraries worldwide.

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Sociological Methodology is a compendium of new and sometimes controversial advances in social science methodology. Contributions come from diverse areas and have something useful -- and often surprising -- to say about a wide range of topics ranging from legal and ethical issues surrounding data collection to the methodology of theory construction. In short, Sociological Methodology holds something of value -- and an interesting mix of lively controversy, too -- for nearly everyone who participates in the enterprise of sociological research.

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Sociological Methodology is an annual volume on methods of research in the social sciences. Sponsored by the American Sociological Association, its mission is to disseminate material that advances empirical research in sociology and related disciplines. Chapters represent original methodological contributions, expository statements on and illustrations of recently developed techniques, and critical discussions of research practice. The volume is a valuable aid to the understanding and use of methodologies, providing techniques and perspectives on research that can be used to strengthen sociological and other types of social science reasoning. Each volume is a crucial addition to social research libraries world-wide and an important record of the current state of methodology.

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The 2008 volume of "Sociological Methodology" continues a 40-year tradition of providing cutting-edge methodology for sociological research. Under the editorship of Yu Xie, three features are now prominent in this volume: Appropriate and practical methodological tools for "substantive" researchInterdisciplinary dialogues on methodological issues between sociologists and non-sociologistsDedication to publishing purely methodological work in sociology

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The 2009 volume of Sociological Methodology continues a 41-year tradition of providing cutting-edge methodology for sociological research. Under the editorship of Yu Xie, three features are prominent in this volume: * Appropriate and practical methodological tools for substantive research. * Interdisciplinary dialogues on methodological issues between sociologists and non-sociologists. * Dedication to publishing purely methodological work in sociology.

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The 2010 volume of Sociological Methodology continues a 42-year tradition of providing cutting-edge methodology for sociological research. Under the editorship of Tim Futing Liao, three features are prominent in this volume: * Appropriate and practical methods for substantive social science research. * Contributions by both sociologists and non-sociologists that have important methodological implications for the social sciences. * Dedication to publishing purely methodological work that may benefi t sociology and the broader social sciences.

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The 2011 volume of Sociological Methodology continues a 43-year tradition of providing cutting-edge methodology for sociological research. Under the editorship of Tim F. Liao, three features are prominent in this volume: Appropriate and practical methods for substantive social science research. Contributions by both sociologists and non-sociologists that have important methodological implications for the social sciences. Dedication to publishing purely methodological work that may benefi t sociology and the broader social sciences. Edit

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This annual volume, sponsored by the American Sociological Association, focuses on methods of research in the social sciences. Published to advance empirical research in sociology and related disciplines, Sociolgical Methodologyis a valuable aid to the understanding and use of methodologies, providing readers with the techniques and perspectives on research needed to strengthen sociological reasoning. Each volume is a crucial addition to social research libraries worldwide and an important record of the current state of methodology.

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This volume of "Sociological Methodology" includes a wide range of lively papers offering fresh solutions to old and new problems and challenges in sociological research. The book introduces innovative solutions to both new and old problems with the key analytic tasks in empirical sociological research - measurement and analysis. It also provides important contributions to a wide range of sociological research methods.

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This volume of "Sociological Methodology" touches on both long-standing and more recent themes in social statistics. In the first chapter, Adrian Raftery discusses all of these themes, reviewing the analysis of cross-tabulations and statistical methods developed to analyze survey data on individuals. Turning to the future, he discusses the limitations of some current work and outlines developments important for the field in the coming years, such as social networks, the analysis of longitudinal network data, spatial statistics, and social interactions.Durlaf's outstanding and forward-looking work on what is perhaps the most important issues in sociology, the interdependence between group and individual, proposes models that can be used to inform important sociological issues, such as whether to have child, to move, or how many years of education one seeks. The editors of this volume have taken exceptional care to be mindful of the need sand interests of readers of "Sociological Methodology" and other have a very rich and rewarding spectrum of issues and perspectives.

「Nielsen BookData」より

Sociological Methodology is an annual volume on methods of research in the social sciences. Sponsored by the American Sociological Association, its mission is to disseminate material that advances empirical research in sociology and related disciplines. Chapters represent original methodological contributions, expository statements on and illustrations of recently developed techniques, and critical discussions of research practice.

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[目次]

  • 1. How Not to Lie with Ethnography Mitchell Duneier 2. Dealing with Extreme Response Style in Cross-Cultural Research: A Restricted Latent Class Factor Analysis Approach Meike Morren, John P. T. M Gellisen, and Jeroen K. Vermunt 3. Accounting for Misclassification Bias in Binary Outcome Measures of Illness: The Case of Post-traumatic Stress Disorder in Male Veterans Elizabeth Savoca 4. Inferring Logit Models from Empirical Margins Using Proxy Data Ju-Sung Lee and Kathleen Carley 5. Biases of Parameter Estimates in Misspecified Structural Equation Models Stanislav Kolenikov 6. Entropy-Based Segregation Indices Ricardo Mora and Javier Ruiz-Castillo 7. A Transition-Oriented Approach to Optimal Matching Torsten Biemann 8. Decomposition of Inequality Among Groups by Counterfactual Modeling: An Analysis of the GenderWage Gap in Japan Kazuo Yamaguchi 9. Bayesian Meta-Analysis of Social Network Data via Conditional Uniform Graph Quantiles Carter T. Butts 10. Bernoulli Graph Bounds for General Random Graphs Carter T. Butts 11. On Respondent-Driven Sampling and Snowball Sampling in Hard-to-Reach Populations and Snowball Sampling Not in Hard-to-Reach Populations Leo A. Goodman 12. Snowball Versus Respondent-Driven Sampling Douglas D. Heckathorn 13. On the Concept of Snowball Sampling Mark S. Handcock and Krista J. Gile 14. Errata

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[目次]

  • Data and Measurements. 1. DNA Collection in a Randomized Social Science Study of College Peer Effects (Guang Guo, Jessica Halliday Hardie, Craig Owen, Jonathan K. Daw, Yilan Fu, Hedwig Lee, Amy Lucas, Emily McKendry-Smith,Greg Duncan). 2. Estimating Net Interracial Mobility in the U.S.: A Residual Methods Approach (Anthony Daniel Perez and Charles Hirschman). 3. An Empirical Test of Respondent-Driven Sampling: Point Estimates, Variance, Degree Measures, and Out-of-Equilibrium Data (Cyprian Wejnert). Network Analysis and Spatial Analysis. 4. Paths and Semi-Paths: Reconceptualizing Structural Cohesion in Terms of Directed Relations (Rick Grannis). 5. Exploiting Spatial Dependence to Improve Measurement of Neighborhood Social Processes (Natalya Verbitsky Savitz and Stephen W. Raudenbush). Decomposition in Hazard Models. 6. Effects of Exposure on Prevalence and Cumulative Relative Risk: Direct and Indirect Effects in a Recursive Hazard Model (Lawrence L. Wu and Steven P. Martin). 7. Multivariate Decomposition for Hazard Rate Models (Daniel A. Powers and Myeong-Su Yun). Regression Analysis. 8. How to Impute Interactions, Squares, and Other Transformed Variables (Paul T. von Hippel). 9. Variance Function Regressions for Studying Inequality (Bruce Western and Deirdre Bloome). 10. Using Instrumental Variable (IV) Tests to Evaluate Model Specification in Latent Variable Structural Equation Models (James B. Kirby and Kenneth A. Bollen).

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[目次]

  • Methods for Life-Course Data Analysis. 1. Multichannel Sequence Analysis Applied to Social Science Data (Jacques-Antoine Gauthier, Eric D. Widmer, Philipp Bucher, and C'edric Notredame). 2. Memory Bias in Retrospectively Collected Employment Careers: A Model-Based Approach to Correct for Measurement Error (Anna Manzoni, Jeroen K. Vermunt, Ruud Luijkx, and Ruud Muffels). Causal Inference and Multivariate Data Analysis. 3. The Foundations of Causal Inference (Judea Pearl). 4. Bayesian Propensity Score Estimators: Incorporating Uncertainties in Propensity Scores into Causal Inference (Weihua An). 5. Finite Normal Mixture SEM Analysis by Fitting Multiple Conventional SEM Models (Ke-Hai Yuan and Peter M. Bentler). 6. The Simultaneous Decision(s) about the Number of Lower- and Higher-Level Classes in Multilevel Latent Class Analysis (Olga Lukociene, Roberta Varriale, and Jeroen K. Vermunt). Methods for the Analysis of Social Network Data. 7. Respondent-Driven Sampling: An Assessment of Current Methodology (Krista J. Gile and Mark S. Handcock). 8. Dynamic Networks and Behavior: Separating Selection from Influence (Christian Steglich, Tom A. B. Snijders, and Michael Pearson).

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[目次]

  • Part I: New Solutions for Old Problems:.1. Overcoming the Reference Category Problem in the Presentation of Statistical Models: David Firth (Oxford University).Part II: Time Measurement and Analysis:.2. An Assessment of Alternative Measures of Time Use: F. Thomas Juster, Hiromi Ono, and Frank P. Stafford (University of Michigan, all).3. Measuring the Frequency of Regular Behaviors: Comparing the "Typical Week" to the "Past Week": LinChiat Chang and Jon A. Krosnick (Ohio State University, all).4. Accelerated Failure-Time Mover-Stayer Regression Models for the Analysis of Last-Episode Data: Kazuo Yamaguchi (University of Chicago).5. Modeling Multiple Failure Time Data: A Survey of Variance-Corrected Proportional Hazards Models with Empirical Applications to Arrest Data: Michael E. Ezell, Kenneth C. Land, and Lawrence E. Cohen (Vanderbilt University, Duke University, and University of California at Davis).Part III: Measurement and Analysis in the Structural Equations Framework:.6. A Multivariate, Multilevel Rasch Model with Application to Self-Reported Criminal Behavior: Stephen W. Raudenbush, Christopher Johnson, and Robert J. Sampson (University of Michigan, University of Michigan, and Harvard University).7. Multilevel Latent Class Models: Jeroen K. Vermunt (Tilburg University).8. Assessing the Effect of Model Misspecifications on Parameter Estimates in Structural Equation Models: Ke-Hai Yuan, Linda L. Marshall, and Peter M. Bentler (University of Notre Dame, University of North Texas, and UCLA).9. Model Fit in Structural Equation Models with Censored, Ordina, nad Dichotomous Variables: Testing Vanishing Tetrads: John R. Hipp and Kenneth A. Bollen (University of North Carolina at Chapel Hill, all).Part IV: Measurement and Analysis of Social Networks:.10. Settings in Social Networks: A Measurement Model: Michael Schweinberger and Tom A.B. Snijders (Interuniversity Center for Social Science Theory and Methodology and University of Groningen).11. A Liang-Zeger Method for Modeling Dyadic Interdependence in the Analysis of Social Networks: Kazou Yamaguchi (University of Chicago).Part V: Unfinished Business.Rejoinder: Ted Palys and John Lowman (Simon Frasier University, all)

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[目次]

  • Prologue The work of Clifford Clogg: 1. Clifford Collier Clogg: 1949-1995: A Tribute to his Life and Work: Michael E. Sobel Catagorical Data Analysis: 2. Some Log-linear Fixed-Effect Latent-Trait Markov-Chain Models: A Dynamic Analysis of Personal Efficacy Under the Influence of Divorce/Widowhood: Kazuo Yamaguchi 3. Multiple Group Association Models with Latent Variables: An Analysis of Secular Trends in Abortion Attitudes, 1972-1988: Allan L. McCutcheon 4. Negative Multinomial Regression Models for Clustered Event Counts: Guang Guo Multivariate Data Analysis: 5. Characterizing Latent Structure: Factor Analytic and Grade of Membership Models: Margaret Mooney Marini, Xiaoli Li and Pi-Ling Fan Model Uncertainty and Macrosociology: 6. Vague Theory and Model Uncertainty in Macrosociology: Bruce Western Social Exchange Networks: 7. The Structure of Social Exchange Networks: A Game-Theoretic Reformulation of Blau's Model: James D. Montgomery

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[目次]

  • Prologue by Peter Marsden. 1. Identification Problems in the Social Sciences. (Charles F. Manski)2. On Strategy for Methodological Analysis. (Clifford C. Clogg and Gerhard Arminger) 3. Coding Choices for Textual Analysis. A Comparison of Content Analysis and Map Analysis. (Kathleen Carley) 4. Using Galois Lattices to Represent Network Data. (Linton C. Freeman and Douglas R. White) 5. Confirmatory Tetrad Analysis. (Kenneth A. Bollen and Kwok fai-Ting) 6. Correlation and Association Models for Studying Measurements on Ordinal Relations. (Katherine Faust and Stanley Wasserman) 7. Event-History Analysis for Left-Truncated Data. (Guang Guo) 8. Competing Hazards with Shared Unmeasured Risk Factors. (Daniel H. Hill, William G. Axinn and Arland Thornton) 9. Modeling Time-Varying Effects of Covariates in Event-History Analysis Using Statistics from the Saturated Hazard Rate Model. (Kazuo Yamaguchi)Name Index.Subject Index.

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[目次]

  • REVIEWERS. CONTRIBUTORS. SUBMISSION INFORMATION FOR AUTHORS. EDITOR'S INTRODUCTION. ON THE ASSIGNMENT OF INDIVIDUALS TO LATENT CLASSES (Leo A. Goodman). AVERAGE PREDICTIVE COMPARISONS FOR MODELS WITH NONLINEARITY, INTERACTIONS, AND VARIANCE COMPONENTS (Andrew Gelman, Iain Pardoe). MULTILEVEL COVARIANCE STRUCTURE ANALYSIS BY FITTING MULTIPLE SINGLE-LEVEL MODELS (Ke-Hai Yuan, Peter M. Bentler). REGRESSION WITH MISSING YS: AN IMPROVED STRATEGY FOR ANALYZING MULTIPLY IMPUTED DATA (Paul T. von Hippel). CALIBRATING MEASURES OF FAMILY ACTIVITIES BETWEEN LARGE- AND SMALL-SCALE DATA SETS (Nora Broege, Ann Owens, Anthony P. Graesch, Jeanne E. Arnold, Barbara Schneider). EXTENSIONS OF RESPONDENT-DRIVEN SAMPLING: ANALYZING CONTINUOUS VARIABLES AND CONTROLLING FOR DIFFERENTIAL RECRUITMENT (Douglas D. Heckathorn). VERY LOCAL STRUCTURE IN SOCIAL NETWORKS (Katherine Faust). PERMUTATION MODELS FOR RELATIONAL DATA (Carter T. Butts). MODELS FOR GENERALIZED LOCATION SYSTEMS (Carter T. Butts). INDICES OF ROBUSTNESS FOR SAMPLE REPRESENTATION (Kenneth Frank, Kyung-Seok Min). IDENTIFICATION AND ESTIMATION OF CAUSAL EFFECTS WITH TIME VARYING TREATMENTS AND TIME-VARYING OUTCOMES (Jennie E. Brand, Yu Xie)

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[目次]

  • Reviewers. Contributors. Acknowledgments. Information for Authors. Editor's Introduction. 1. The Scientific Model of Causality (James J. Heckman). 2. Pretesting Experimental Instructions (Lisa Slattery, Murray Webster Jr., and Joseph M. Whitmey). 3. A New Approach to Estimating Life Tables with Covariates and Constructing Interval Estimates of Life Table Quantities (Scott M. Lynch and J. Scott Brown). 4. Robust Spatial Analysis of Rare Crimes: An Information-Theoretic Approach (Avinash Singh Bhati). 5. Improved Regression Estimation of a Multivariate Relationship with Population Data on the Bivariate Relationship (Mark S. Handcock, Michael S. Rendall, and Jacob E. Cheadle). Errata (Sean F. Reardon, Glenn Firebaugh, and David O'Sullivan)

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[目次]

  • Reviewers. Contributors. Information for Authors. Acknowledgments. Foreword. Part I: Symposium on Data Confidentiality and the Law:1. Anticipating Law: Research Methods, Ethics and the Law of Privilege: Ted Palys and John Lowman.2. Above the Law: Research Methods, Ethics and the Law of Privilege: Geoff Stone.3. Response: Anticipating the Problems - Doing Social Science Research in the Shadow of the Law: James Lindgren.Part II: Measuring Segregation:4. Measures of Multi-Group Segregation: Sean F Reardon and Glenn Firebaugh.5. Segregation Indices and their Functional Inputs: Rick Grannis.6. Segregation and Social Distance: A Generalized Approach to Segregation Measurement: Sean F. Reardon and Glenn Firebaugh.Part III: Combining Qualitative and Quantitative Methods:7. Survey and Ethnographic methods: Lisa Pearce.Part IV: Tools for Theory Building:8. Reasoning with Partial Knowledge: Polos Lolosz and Michael T. Hannan9. Logical Tools: Jeroen Bruggeman and Ivar Vermunt.Part V: Statistical Methods:10. Bilinear models: Kazou Yamaguchi.11. Fixed-Effects Negative Binomial Regression Models: Paul D. Allison and Richard P. Waterman.Part VI: Advances in Network Theory and Analysis:12. Comparing Networks: Katherine Faust and John Skvoretz.13. Local neighborhoods: Philippa Pattison and Garry Robbins.

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[目次]

  • Reviewers. Contributors. Information for Authors. In This Volume. 1. Statistics in Sociology, 1950-2000: A Selective Review: Adrian E. Rafterey.2. A Framework for the Study of Individual Behavior and Social Interactions: Steven N. Durlauf.Discussion: Comment on Steven Durlauf's 'A Framework for the Study of Individual Behavior and Social Interactions': Samuel Bowles.Discussion: Modeling Social Interdependence: Is It in the Structure or in our Hearts? Lin Tao and Christopher Winship.Discussion: Potential Applications and Extensions for a Choice-Based Social Interaction Framework: Aimee R. Dechter. Rejoinder: Steven N. Durlauf.3. Analysis of Categorical Response Profiles by Informative Summaries: Zvi Gilula and Shelby J. Haberman.4. Statistical methods and Graphical Displays for Analyzing How the Association Between Two Qualitative Variables Differs Among Countries, Among Groups, or Over Time. Part II: Some Exploratory Techniques, Simple Models, and Simple Examples: Leo A. Goodman and Michael Hout. 5. Latent Class Factor and Cluster Models, Bi-Plots and Related Graphical Displays: Jay Magisdon and Jeroen K. Vermunt. 6. Covariance Models for Latent Structure in Longitudinal Data: Marc A. Scott and Mark S. Handcock.7. The Cohesiveness of Blocks in Social Networks: Connectivity and Conditional Density: Douglas White and Frank Harary.8. The Statistical Evaluation of Social Network Dynamics: Tom A.B. Snijders.

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[目次]

  • Reviewers. Contributors. Submission Information for Authors. Editor's Introduction. Symposium on Implication Analysis. 1. Implication Analysis:A Pragmatic Proposal for Linking Theory and Data in the Social Sciences (Stanley Lieberson and Joel Horwich). Comment: Implications of Implication Analysis (Glenn Firebaugh). Comment: Bully for Prediction (Jack A. Goldstone). Comment: Implication Analysis:Ne w Approach, or Good, Old-Fashioned Sociology? (Mark S. Mizruchi). Comment: Implication Analysis as Abductive Inference (Burton Singer). Comment: Disturbing Implications (Charles Tilly). Comment: Implication Analysis:R esponse to the Comments (Stanley Lieberson and Joel Horwich). Data Collection and Data Quality. 2. Measurement Error in Stylized and Diary Data on Time Use (Man Yee Kan and Stephen Pudney). 3. Validation of a Diary Measure of Children's Physical Activities (Sandra L. Hofferth, Gregory J. Welk Margarita S. Treuth, Suzanne M. Randolph, Sally C. Curtin, and Richard Valliant). Methods for Analyzing Social Network Data. 4. A Relational Event Framework for Social Action (Carter T. Butts). 5. Modeling Diffusion of Multiple Innovations via Multilevel Diffusion Curves:P ayola in Pop Music Radio (Gabriel Rossman, Ming Ming Chiu, and Joeri Mol). Statistical Methods. 6. A Diagnostic Routine for the Detection of Consequential Heterogeneity of Causal Effects (Stephen L. Morgan and Jennifer J. Todd). 7. Four Useful Finite Mixture Models for Regression Analyses of Panel Data with a Categorical Dependent Variable (Kazuo Yamaguchi). 8. Outliers, Leverage Observations, and Influential Cases in Factor Analysis:Using Robust Procedures to Minimize Their Effect (Ke-Hai Yuan and Xiaoling Zhong). 9. Multiple Imputation of Incomplete Categorical Data Using Latent Class Analysis (Jeroen K. Vermunt, Joost R. van Ginkel, L. Andries van der Ark, and Klaas Sijtsma).

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[目次]

  • Reviewers.Contributors.Acknowledgments.Information for Authors.Editor's Introduction.Fundamental Methods for Historical Socilogy.1. The Poverty of Deductivism: A Constructive Realist Model of Sociological Explanation (Philip S. Gorski).Response:.Reasoning About History, Sociologically (Jack A. Goldstone).Response: Scientific Progress in a Nontheoretical Discipline: History and Constructive Realism (William H. Swell Jr.).A Brief rejoinder to Gold stone: The Varieties of Deductivism (Philip S. Gorski).Advances in Time and Space Measurement and Analysis: New Measures of Age, Period, and Cohort Effects.2. A Methodological Comparison of Age, Period, and Cohort Effects Models: The Intrinsic Estimator and Conventional Generalized Linear Models (Yang Yang, Wenjiang J. Fu , and Kenneth C. Land).Response: Cohort Analysis Redux (Herbert L. Smith.3. Measures of Spatial Segregation (Sean F. Reardon and David O'Sullivan).4. Adjusting for Time-Varying Confounding in Survival Analysis (Jennifer S. Barber, Susan A. Murphy, and Natalya Verbitsky).New Applications and Method for Network Analysis.5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling (Matthew J. Salganik and Douglas D. Heckathorn).6. Exponential Family Models for Sampled and Census Network Data (Laura M. Koehly, Steven M. Goodreau, and Martina Morris.New Measures of Measurement Quality.7. Assessing Bias in the Estimation of Causal Effects: Rosenbaum Bounds on Matching Estimators and Instrumental Variables Estimation with Imperfect Instruments (Thomas A. DiPrete an Markus Gangl).8. A New Approach to Evaluating the Quality of Measurement Instruments: The Split-Ballot MTMM Design (Willem E. Saris, Albert Satorra, and Germa Coenders).New Methods for Qualitative Data.9. A Mathematical Approach to Categorization and Labeling of Qualitative Data: the Latent Categorization Method (Kai R. Larsen and David E. Monarchi)

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[目次]

  • Reviewers. Contributors. Information for Authors. In This Volume. 1. Ecometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observation of Neighbourhoods (Stephen W. Raudenbush and Robert J. Sampson) 2. Simulating the Micro-Macro Link: New Approaches to an Old Problem and an Application to Military Coups (Nicole J. Saam) 3. A Goodness-of-Fit Test for the Latent Class Model When Expected Frequencies Are Small (Mark Reiser and Yiching Lin) 4. Algebraic Representations of Beliefs and Attitudes: Partial Order Models for Item Responses (John Levi Martin and James A. Wiley) 5. On a Relation Between Joint Correspondence Analysis and Latent Class Analysis (Peter G.M. van der Heijden, Zvi Gilula, and L. Andries van der Ark) 6. A General Class of Nonparametric Models for Ordinal Categorical Data (Jeroen K. Vermunt) 7. Testing Transivity in Digraphs (Martin Karleburg) 8. Logit Models for Affiliation Networks (John Skvoretz and Katherine Faust) 9. A New Model for Information Diffusion in Heterogeneous Social Networks (Vincent Buskens and Kazuo Yamaguchi)

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この本の情報

書名 Sociological methodology
著作者等 Alwin, Duane F.
American Sociological Association
Clogg, Clifford C.
Liao, Tim Futing
Marsden, Peter Richard Valentine
Becker Mark P.
Marsden Peter
Raftery Adrian
Savage Lisa
Sobel Michael E.
Stolzenberg Ross M.
Xie Yu
Raftery Adrian E.
巻冊次 v. 19. 1989
v. 20. 1990
v. 21. 1991
v. 22. 1992
v. 23. 1993
v. 24. 1994
v. 25. 1995
v. 26. 1996
v. 27. 1997
v. 28. 1998
v. 29. 1999
v. 30. 2000
v. 31. 2001
v. 32. 2002
v. 33. 2003
v. 34. 2004
v. 35. 2005
v. 36. 2006
v. 37. 2007
v. 38. 2008
v. 39. 2009
v. 40. 2010
v. 41. 2011
v. 43. 2013
v. 44. 2014
v. 45. 2015
v. 46. 2016
v. 47. 2017
出版元 Basil Blackwell
刊行年月 1989-
ページ数 v.
大きさ 24 cm
ISBN 0631177345
0631181555
0631207929
0631212086
0631217894
0631221484
0631232192
1405107693
1405116714
1405133015
1405150688
1557863563
1557864640
1557865922
1577181093
0631170529
9781118266557
9781405176248
9781405192682
9781444332933
9781444339666
9781483347349
9781483380490
9781506323527
9781506377568
9781544324975
9781405167246
ISSN 00811750
NCID BA07822792
※クリックでCiNii Booksを表示
言語 英語
出版国 イギリス
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