19 posts · 10,632 views
Sociological Methods & Research is a top-ranked, quarterly, peer-reviewed, quantitative methods journal. The SMR blog provides a forum for peer-reviewed comment papers and replications which cannot be included in the print edition of the journal.
Christopher Winship
19 posts
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- May 19, 2011
- 09:07 PM
- 665 views
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies
by Christopher Winship in SMR Blog
Shalizi, C., & Thomas, A. (2011). <a href=”Shalizi, C., & Thomas, A. (2011). Homophily and Contagion Are Generically Confounded in Observational Social Network Studies Sociological Methods & Research, 40 (2), 211-239 DOI: 10.1177/0049124111404820“>Homophily and Contagion Are Generically Confounded in Observational Social Network Studies Sociological Methods & Research, 40 (2), 211-239 DOI: 10.1177/0049124111404820 Featured article: Available [...]... Read more »
Shalizi, C., & Thomas, A. (2011) Homophily and Contagion Are Generically Confounded in Observational Social Network Studies. Sociological Methods , 40(2), 211-239. DOI: 10.1177/0049124111404820
- May 19, 2011
- 09:07 PM
- 436 views
Sensitivity Analysis for Contagion Effects in Social Networks
by Christopher Winship in SMR Blog
VanderWeele, T. (2011). Sensitivity Analysis for Contagion Effects in Social Networks Sociological Methods & Research, 40 (2), 240-255 DOI: 10.1177/0049124111404821 Featured article: Available to download free of charge via Sage Publications until November 15, 2011. Abstract & References Tyler J. VanderWeele, Harvard University, Boston, MA, USA, tvanderw@hsph.harvard.edu Filed under: full-text article, post Tagged: contagion effects, environmental confounding, [...]... Read more »
VanderWeele, T. (2011) Sensitivity Analysis for Contagion Effects in Social Networks. Sociological Methods , 40(2), 240-255. DOI: 10.1177/0049124111404821
- May 19, 2011
- 09:06 PM
- 281 views
An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures
by Christopher Winship in SMR Blog
Levy, R., & Hancock, G. (2011). An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures Sociological Methods & Research, 40 (2), 256-278 DOI: 10.1177/0049124111404819 Abstract Roy Levy, Arizona State University, Tempe, AZ, USA, roy.levy@asu.edu Filed under: post Tagged: bootsrap, mixture model, model comparisons, multiple-group model, structural equation [...]... Read more »
Levy, R., & Hancock, G. (2011) An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures. Sociological Methods , 40(2), 256-278. DOI: 10.1177/0049124111404819
- May 19, 2011
- 09:05 PM
- 321 views
Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches
by Christopher Winship in SMR Blog
Kankaras, M., Vermunt, J., & Moors, G. (2011). Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches Sociological Methods & Research, 40 (2), 279-310 DOI: 10.1177/0049124111405301 Abstract Miloš Kankaraš, Tilburg University, Tilburg, The Netherlands, m.kankaras@uvt.nl Filed under: post Tagged: inequivalence, modeling assumptions, ordinal items, simulation data... Read more »
Kankaras, M., Vermunt, J., & Moors, G. (2011) Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches. Sociological Methods , 40(2), 279-310. DOI: 10.1177/0049124111405301
- May 19, 2011
- 09:04 PM
- 369 views
Multiple Auxiliary Variables in Nonresponse Adjustment
by Christopher Winship in SMR Blog
Kreuter, F., & Olson, K. (2011). Multiple Auxiliary Variables in Nonresponse Adjustment Sociological Methods & Research, 40 (2), 311-332 DOI: 10.1177/0049124111400042 Abstract Frauke Kreuter, University of Maryland, College Park, USA and Institute for Employment Research, Nuremberg, Germany, fkreuter@survey.umd.edu Filed under: post Tagged: mean square error, nonresponse bias adjustment, response propensity models, survey participation... Read more »
Kreuter, F., & Olson, K. (2011) Multiple Auxiliary Variables in Nonresponse Adjustment. Sociological Methods , 40(2), 311-332. DOI: 10.1177/0049124111400042
- May 19, 2011
- 09:04 PM
- 336 views
When Change Matters: An Analysis of Survey Interaction in Dependent Interviewing on the British Household Panel Study
by Christopher Winship in SMR Blog
Uhrig, S., & Sala, E. (2011). When Change Matters: An Analysis of Survey Interaction in Dependent Interviewing on the British Household Panel Study Sociological Methods & Research, 40 (2), 333-366 DOI: 10.1177/0049124111404816 Abstract SC Noah Uhrig, University of Essex, United Kingdom, scnuhrig@essex.ac.uk Filed under: post Tagged: BHPS, dependent interviewing, interviewer—respondent interaction... Read more »
Uhrig, S., & Sala, E. (2011) When Change Matters: An Analysis of Survey Interaction in Dependent Interviewing on the British Household Panel Study. Sociological Methods , 40(2), 333-366. DOI: 10.1177/0049124111404816
- May 19, 2011
- 09:03 PM
- 321 views
Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition
by Christopher Winship in SMR Blog
Haviland, A., Jones, B., & Nagin, D. (2011). Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition Sociological Methods & Research, 40 (2), 367-390 DOI: 10.1177/0049124111400041 Abstract Daniel S. Nagin, Carnegie Mellon University, Pittsburgh, PA, USA, dn03@andrew.cmu.edu Filed under: post Tagged: attrition bias, finite mixture models, longitudinal data, trajectory groups... Read more »
Haviland, A., Jones, B., & Nagin, D. (2011) Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition. Sociological Methods , 40(2), 367-390. DOI: 10.1177/0049124111400041
- May 19, 2011
- 09:03 PM
- 470 views
Assessing the Robustness of Crisp-set and Fuzzy-set QCA Results
by Christopher Winship in SMR Blog
Skaaning, S. (2011). Assessing the Robustness of Crisp-set and Fuzzy-set QCA Results Sociological Methods & Research DOI: 10.1177/0049124111404818 Abstract Svend-Erik Skaaning, Aarhus University, Aarhus, Denmark, Skaaning@ps.au.dk Filed under: post Tagged: configurational comparative methods, crisp-set, Fuzzy-set, QCA results, robustness tests... Read more »
Skaaning, S. (2011) Assessing the Robustness of Crisp-set and Fuzzy-set QCA Results. Sociological Methods . DOI: 10.1177/0049124111404818
- January 12, 2011
- 03:25 PM
- 931 views
Body Mass Index and Physical Attractiveness: Evidence From a Combination Image-Alteration/List Experiment
by Christopher Winship in SMR Blog
Conley, D., & McCabe, B. (2011). Body Mass Index and Physical Attractiveness: Evidence From a Combination Image-Alteration/List Experiment, Sociological Methods & Research, 40 (1), 6-31 DOI: 10.1177/0049124110390762 Featured article: Available to download free of charge via Sage Publications until 6/1/2011. Abstract & References, View Supplemental Data Dalton Conley, New York University, New York, NY, USA, conley@nyu.edu Filed under: post [...]... Read more »
Conley, D., & McCabe, B. (2011) Body Mass Index and Physical Attractiveness: Evidence From a Combination Image-Alteration/List Experiment. Sociological Methods , 40(1), 6-31. DOI: 10.1177/0049124110390762
- January 12, 2011
- 03:15 PM
- 1,043 views
Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys
by Christopher Winship in SMR Blog
Das, M., Toepoel, V., & van Soest, A. (2011). Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys, Sociological Methods & Research, 40 (1), 32-56 DOI: 10.1177/0049124110390765, view abstract. Filed under: post Tagged: attrition bias, measurement error, panel conditioning, panel surveys... Read more »
Das, M., Toepoel, V., & van Soest, A. (2011) Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys. Sociological Methods , 40(1), 32-56. DOI: 10.1177/0049124110390765
- January 12, 2011
- 03:06 PM
- 518 views
Two Algorithms for Relaxed Structural Balance Partitioning: Linking Theory, Models, and Data to Understand Social Network Phenomena
by Christopher Winship in SMR Blog
Brusco, M., Doreian, P., Mrvar, A., & Steinley, D. (2010). Two Algorithms for Relaxed Structural Balance Partitioning: Linking Theory, Models, and Data to Understand Social Network Phenomena, Sociological Methods & Research, 40 (1), 57-87 DOI: 10.1177/0049124110384947, view abstract. Filed under: post Tagged: algorithms, blockmodeling, relaxed structural balance, signed networks... Read more »
Brusco, M., Doreian, P., Mrvar, A., & Steinley, D. (2010) Two Algorithms for Relaxed Structural Balance Partitioning: Linking Theory, Models, and Data to Understand Social Network Phenomena. Sociological Methods , 40(1), 57-87. DOI: 10.1177/0049124110384947
- January 12, 2011
- 03:04 PM
- 567 views
The Effects of Asking Filter Questions in Interleafed Versus Grouped Format
by Christopher Winship in SMR Blog
Kreuter, F., McCulloch, S., Presser, S., & Tourangeau, R. (2011). The Effects of Asking Filter Questions in Interleafed Versus Grouped Format Sociological Methods & Research, 40 (1), 88-104 DOI: 10.1177/0049124110392342, view abstract. Filed under: post Tagged: filter questions, questionnaire design, respondent behavior, response burden... Read more »
Kreuter, F., McCulloch, S., Presser, S., & Tourangeau, R. (2011) The Effects of Asking Filter Questions in Interleafed Versus Grouped Format. Sociological Methods , 40(1), 88-104. DOI: 10.1177/0049124110392342
- January 12, 2011
- 03:01 PM
- 527 views
Estimating Propensity Adjustments for Volunteer Web Surveys
by Christopher Winship in SMR Blog
Valliant, R., & Dever, J. (2011). Estimating Propensity Adjustments for Volunteer Web Surveys Sociological Methods & Research, 40 (1), 105-137 DOI: 10.1177/0049124110392533, view abstract. Filed under: post Tagged: calibration estimator, logistic regression, nonignorable selection, propensity model, reference survey, web survey... Read more »
Valliant, R., & Dever, J. (2011) Estimating Propensity Adjustments for Volunteer Web Surveys. Sociological Methods , 40(1), 105-137. DOI: 10.1177/0049124110392533
- January 12, 2011
- 02:48 PM
- 536 views
Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse
by Christopher Winship in SMR Blog
Peytchev, A., Carley-Baxter, L., & Black, M. (2011). Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse Sociological Methods & Research, 40 (1), 138-168 DOI: 10.1177/0049124110392547, view abstract. Filed under: post Tagged: cell phone, coverage bias, dual frame, nonresponse bias, two phase, weighting adjustments... Read more »
Peytchev, A., Carley-Baxter, L., & Black, M. (2011) Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse. Sociological Methods , 40(1), 138-168. DOI: 10.1177/0049124110392547
- January 12, 2011
- 02:24 PM
- 792 views
Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT)
by Christopher Winship in SMR Blog
Coutts, E., & Jann, B. (2011). Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT) Sociological Methods & Research, 40 (1), 169-193 DOI: 10.1177/0049124110390768, view abstract. Filed under: post Tagged: item count technique, methodological experiment, online survey, randomized response technique, sensitive questions, unmatched count technique... Read more »
Coutts, E., & Jann, B. (2011) Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT). Sociological Methods , 40(1), 169-193. DOI: 10.1177/0049124110390768
- November 12, 2010
- 02:45 PM
- 486 views
Model Identification and Computer Algebra
by Christopher Winship in SMR Blog
Kenneth A. Bollen and Shawn Bauldry, Model Identification and Computer Algebra, Sociological Methods & Research 2010 39: 127-156. Multiequation models that contain observed or latent variables are common in the social sciences. To determine whether unique parameter values exist for such models, one needs to assess model identification. In practice, analysts rely on empirical checks that [...]... Read more »
Bollen, K., & Bauldry, S. (2010) Model Identification and Computer Algebra. Sociological Methods , 39(2), 127-156. DOI: 10.1177/0049124110366238
- August 12, 2010
- 01:12 PM
- 374 views
Mixture Models for Ordinal Data
by Christopher Winship in SMR Blog
Richard Breen and Ruud Luijkx, Mixture Models for Ordinal Data, Sociological Methods & Research 2010 39: 3-24. Cumulative probability models are widely used for the analysis of ordinal data. In this article the authors propose cumulative probability mixture models that allow the assumptions of the cumulative probability model to hold within subsamples of the data. The subsamples are defined [...]... Read more »
Breen, R., & Luijkx, R. (2010) Mixture Models for Ordinal Data. Sociological Methods , 39(1), 3-24. DOI: 10.1177/0049124110366240
- June 17, 2010
- 06:30 PM
- 749 views
Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data
by Christopher Winship in SMR Blog
Tyler J. VanderWeele, Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data, Sociological Methods & Research 2010 38: 515-544. Definitions of direct and indirect effects are given for settings in which individuals are clustered in groups or neighborhoods and in which treatments are administered at the group level. A particular intervention may affect individual outcomes [...]... Read more »
VanderWeele, T. (2010) Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data. Sociological Methods , 38(4), 515-544. DOI: 10.1177/0049124110366236
- November 30, 1999
- 12:00 AM
- 910 views
Mixture Models for Ordinal Data
by Christopher Winship in SMR Blog
Cumulative probability models are widely used for the analysis of ordinal data. In this article the authors propose cumulative probability mixture models that allow the assumptions of the cumulative probability model to hold within subsamples of the data. The subsamples are defined in terms of latent class membership. In the case of the ordered logit mixture model, on which the authors focus here, the assumption of a logistic distribution for an underlying latent dependent variable holds within ........ Read more »
Breen, R., & Luijkx, R. (2010) Mixture Models for Ordinal Data. Sociological Methods , 39(1), 3-24. DOI: 10.1177/0049124110366240
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