Book Review: Sociological Methodology, Edited by Ross Stolzenberg

February 7, 2010
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Book Review: Regression Analysis: A Constructive Critique. Advanced Quantitative Techniques in the Social Sciences Series 11, by Richard A. Berk

February 7, 2010

Book Review: Regression With Social Data: Modeling Continuous and Limited Response Variables, by Alfred DeMaris

February 7, 2010

A Conceptual Framework for Ordered Logistic Regression Models

February 7, 2010

“Andrew S. Fullerton” : A Conceptual Framework for Ordered Logistic Regression Models, Sociological Methods & Research 2009 38: 306-347.

Ordinal-level measures are very common in social science research. Researchers often analyze ordinal dependent variables using the proportional odds logistic regression model. However, Read the rest of this entry »


Question Order and Interviewer Effects in CATI Scale-up Surveys

February 7, 2010

Silvia Snidero, Federica Zobec, Paola Berchialla, Roberto Corradetti, and Dario Gregori Question Order and Interviewer Effects in CATI Scale-up Surveys Sociological Methods & Research 2009 38: 287-305.

The scale-up estimator is a network-based estimator for the size of hidden or hard to count subpopulations. Several issues arise in the public health context when the aim is the estimation of injuries occurring in a certain population, Read the rest of this entry »


A Coefficient of Association Between Categorical Variables With Partial or Tentative Ordering of Categories

February 7, 2010

Volkert Siersma and Svend Kreiner: A Coefficient of Association Between Categorical Variables With Partial or Tentative Ordering of Categories Sociological Methods & Research 2009 38: 265-286.

Goodman and Kruskal’s {gamma} coefficient measuring monotone association and its partial variants are useful for the analysis of multiway contingency tables containing ordinal variables. When the categories of a variable are only partly ordered Read the rest of this entry »


Is Optimal Matching Suboptimal?

February 7, 2010

Matissa Hollister Is Optimal Matching Suboptimal? Sociological Methods & Research 2009 38: 235-264.

Optimal matching (OM) is a method for measuring the similarity between pairs of sequences (e.g., work histories). This article discusses two problems with optimal matching. First, the authoridentifies a flaw in OM ‘‘indel costs’’ and proposes a solution Read the rest of this entry »