Table of Contents

• Volume I

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  • 1. An Orientation to Applied Statistical Modeling in the Social Sciences

    Salvatore Babones
    

  • Variables and Colinearity

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    • 2. Explaining Interstate Conflict and War: What Should Be Controlled For?

      James Ray
      2003
      Conflict Management and Peace Science
      

    • 3. The Moderator–Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations

      Reuben Baron | David Kenny
      1986
      Journal of Personality and Social Psychology
      

    • 4. Understanding and Using Mediators and Moderators

      Amery Wu | Bruno Zumbo
      2008
      Social Indicators Research
      

    • 5. Collinearity, Power, and Interpretation of Multiple Regression Analysis

      Charlotte Mason | William Perreault
      1991
      Journal of Marketing Research
      

    • 6. A Caution Regarding Rules of Thumb for Variance Inflation Factors

      Robert O'Brien
      2007
      Quality & Quantity
      

    • 7. What to Do (and Not Do) with Multicollinearity in State Politics Research

      Kevin Arceneaux | Gregory Huber
      2007
      State Politics & Policy Quarterly
      

  • Interaction Models

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    • 8. Theory Building and the Statistical Concept of Interaction

      Hubert Blalock
      1965
      American Sociological Review
      

    • 9. Testing for Interaction in Multiple Regression

      Paul Allison
      1977
      American Journal of Sociology
      

    • 10. In Defense of Multiplicative Terms in Multiple Regression Equations

      Robert Friedrich
      1982
      American Journal of Political Science
      

    • 11. Hypothesis Testing and Multiplicative Interaction Terms

      Bear Braumoeller
      2004
      International Organization
      

    • 12. Understanding Interaction Models: Improving Empirical Analyses

      Thomas Brambor | William Clark | Matt Golder
      2006
      Political Analysis
      

  • Multilevel Models

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    • 13. Modeling Multilevel Data Structures

      Marco Steenbergen | Bradford Jones
      2002
      American Journal of Political Science
      

    • 14. Multilevel Models: Methods and Substance

      Thomas DiPrete | Jerry Forristal
      1994
      Annual Review of Sociology
      

    • 15. Multilevel Analysis in Public Health Research

      Ana Diez-Roux
      2000
      Annual Review of Public Health
      

    • 16. Multilevel Modeling: A Review of Methodological Issues and Applications

      Robert Dedrick | John Ferron | Melinda Hess | Kristine Hogarty | Jeffrey Kromrey | Thomas Lang | John Niles | Reginald Lee
      2009
      Review of Educational Research
      

    • 17. Sufficient Sample Sizes for Multilevel Modeling

      Cora Maas | Joop Hox
      2005
      Methodology
      

• Volume II

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  • Models for Panel Data

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    • 18. Panel Models in Sociological Research: Theory into Practice

      Charles Halaby
      2004
      Annual Review of Sociology
      

    • 19. Problems with Repeated Measures Analysis: Demonstration with a Study of the Diversification and Performance Relationship

      Donald Bergh
      1995
      Academy of Management Journal
      

    • 20. Modeling Error in Quantitative Macro-comparative Research

      Salvatore Babones
      2009
      Journal of World-Systems Research
      

    • 21. Advances in Analysis of Longitudinal Data

      Robert Gibbons | Donald Hedeker | Stephen DuToit
      2010
      Annual Review of Clinical Psychology
      

  • Time Series Cross-Sectional Analysis

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    • 22. What to Do (and Not to Do) with Time-Series Cross-Section Data

      Nathaniel Beck | Jonathan Katz
      1995
      American Political Science Review
      

    • 23. Sense and Sensitivity in Pooled Analysis of Political Data

      Bernhard Kittel
      1999
      European Journal of Political Research
      

    • 24. Dirty Pool

      Donald Green | Soo Kim | David Yoon
      2001
      International Organization
      

    • 25. Time-Series–Cross-Section Data: What Have We Learned in the Past Few Years?

      Nathaniel Beck
      2001
      Annual Review of Political Science
      

    • 26. A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications

      Sven Wilson | Daniel Butler
      2007
      Political Analysis
      

  • Spatial Models

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    • 27. Spatial Autocorrelation: Trouble or New Paradigm?

      Pierre Legendre
      1993
      Ecology
      

    • 28. “The Problem of Spatial Autocorrelation” and Local Spatial Statistics

      A. Fotheringham
      2009
      Geographical Analysis
      

    • 29. Under the Hood: Issues in the Specification and Interpretation of Spatial Regression Models

      Luc Anselin
      2002
      Agricultural Economics
      

    • 30. Spatial Regression Models for Demographic Analysis

      Guangqing Chi | Jun Zhu
      2008
      Population Research and Policy Review
      

    • 31. Space Is More Than Geography: Using Spatial Econometrics in the Study of Political Economy

      Nathaniel Beck | Kristian Gleditsch | Kyle Beardsley
      2006
      International Studies Quarterly
      

• Volume III

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  • Logistic Regression

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    • 32. An Introduction to Logistic Regression Analysis and Reporting

      Chao-Ying Peng | Kuk Lee | Gary Ingersoll
      2002
      The Journal of Educational Research
      

    • 33. A Tutorial in Logistic Regression

      Alfred DeMaris
      1995
      Journal of Marriage and Family
      

    • 34. Logistic Regression: Description, Examples, and Comparisons

      S. Morgan | Jay Teachman
      1988
      Journal of Marriage and Family
      

    • 35. Binary Response Models: Logits, Probits and Semiparametrics

      Joel Horowitz | N. Savin
      2001
      Journal of Economic Perspectives
      

    • 36. Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do about It

      Carina Mood
      2010
      European Sociological Review
      

  • Multinomial Logit

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    • 37. A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression

      Carrie Petrucci
      2009
      Journal of Social Service Research
      

    • 38. Multinomial Probit and Multinomial Logit: A Comparison of Choice Models for Voting Research

      Jay Dow | James Endersby
      2004
      Electoral Studies
      

    • 39. A Conceptual Framework for Ordered Logistic Regression Models

      Andrew Fullerton
      2009
      Sociological Methods & Research
      

  • Poisson Regression

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    • 40. Analysis of Count Data Using Poisson Regression

      M. Hutchinson | Matthew Holtman
      2005
      Research in Nursing & Health
      

    • 41. The Analysis of Count Data: Overdispersion and Autocorrelation

      David Barron
      1992
      Sociological Methodology
      

    • 42. Negative Multinomial Regression Models for Clustered Event Counts

      Guang Guo
      1996
      Sociological Methodology
      

    • 43. A Comparison of Poisson, Negative Binomial, and Semiparametric Mixed Poisson Regression Models: With Empirical Applications to Criminal Careers Data

      Kenneth Land | Patricia McCall | Daniel Nagin
      1996
      Sociological Methods & Research
      

  • Instrumental Variables

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    • 44. Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments

      Joshua Angrist | Alan Krueger
      2001
      Journal of Economic Perspectives
      

    • 45. Controlling for Endogeneity with Instrumental Variables in Strategic Management Research

      Guilhem Bascle
      2008
      Strategic Organization
      

    • 46. Model Specification in Instrumental-Variables Regression

      Thad Dunning
      2008
      Political Analysis
      

    • 47. That Instrument Is Lousy! In Search of Agreement When Using Instrumental Variables Estimation in Substance Use Research

      Michael French | Ioana Popovici
      2011
      Health Economics
      

• Volume IV

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  • Structural Equation Modeling

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    • 48. Path Analysis: Sociological Examples

      Otis Duncan
      1966
      American Journal of Sociology
      

    • 49. Structural Equation Models

      William Bielby | Robert Hauser
      1977
      Annual Review of Sociology
      

    • 50. Practical Issues in Structural Modeling

      P. Bentler | Chih-Ping Chou
      1987
      Sociological Methods & Research
      

    • 51. Total, Direct, and Indirect Effects in Structural Equation Models

      Kenneth Bollen
      1987
      Sociological Methodology
      

    • 52. Principles and Practice in Reporting Structural Equation Analyses

      Roderick McDonald | Moon-Ho Ho
      2002
      Psychological Methods
      

    • 53. Instrumental Variables in Sociology and the Social Sciences

      Kenneth Bollen
      2012
      Annual Review of Sociology
      

  • Latent Variable Models

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    • 54. Confirmatory Factor-Analytic Structures and the Theory Construction Process

      Ronald Burt
      1973
      Sociological Methods & Research
      

    • 55. Latent Variables in Psychology and the Social Sciences

      Kenneth Bollen
      2002
      Annual Review of Psychology
      

    • 56. Specification, Evaluation, and Interpretation of Structural Equation Models

      Richard Bagozzi | Youjae Yi
      2012
      Journal of the Academy of Marketing Science
      

    • 57. Latent Variable Models under Misspecification: Two-Stage Least Squares (2SLS) and Maximum Likelihood (ML) Estimators

      Kenneth Bollen | James Kirby | Patrick Curran | Pamela Paxton | Feinian Chen
      2007
      Sociological Methods & Research
      

    • 58. The Fallacy of Formative Measurement

      Jeffrey Edwards
      2011
      Organizational Research Methods