Designing Scalar Questions for Web Surveys

February 7, 2010

Leah Melani Christian, Nicholas L. Parsons, and Don A. Dillman Designing Scalar Questions for Web Surveys Sociological Methods & Research 2009 37: 393-425. SMR 37:3 was a Special Issue on Web Surveys.

This paper explores how the visual design of scalar questions influences responses in web surveys. We present the results of five experiments Read the rest of this entry »


Design of Web Questionnaires: An Information-Processing Perspective for the Effect of Response Categories

February 7, 2010

Vera Toepoel, Corrie Vis, Marcel Das, and Arthur van Soest Design of Web Questionnaires: An Information-Processing Perspective for the Effect of Response Categories  Sociological Methods & Research 2009 37: 371-392.

In this article, an information-processing perspective is used to explore the impact of response categories on the answers respondents provide in Web surveys. Response categories have a significant effect Read the rest of this entry »


Web Survey Design: Balancing Measurement, Response, and Topical Interest

February 7, 2010

Kevin O. Shropshire, James E. Hawdon, and James C. Witte Web Survey Design: Balancing Measurement, Response, and Topical Interest  Sociological Methods & Research 2009 37: 344-370.

Using data from Survey2001, we analyze how visual images embedded in a web-based survey can (1) reduce nonresponse in the specific case that a respondent prematurely terminates the survey and (2) preserve measurement validity. Page-by-page progression Read the rest of this entry »


Estimation for Volunteer Panel Web Surveys Using Propensity Score Adjustment and Calibration Adjustment

February 7, 2010

Sunghee Lee and Richard Valliant Estimation for Volunteer Panel Web Surveys Using Propensity Score Adjustment and Calibration Adjustment  Sociological Methods & Research 2009 37: 319-343.

A combination of propensity score and calibration adjustment is shown to reduce bias in volunteer panel Web surveys. In this combination, the design weights are adjusted by propensity scores to correct for selection bias due to nonrandomized sampling. These adjusted weights Read the rest of this entry »


Selection Bias in Web Surveys and the Use of Propensity Scores

February 7, 2010

Matthias Schonlau, Arthur van Soest, Arie Kapteyn, and Mick Couper Selection Bias in Web Surveys and the Use of Propensity Scores  Sociological Methods & Research 2009 37: 291-318.

Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent the population of interest. The authors investigate whether adjusting using weights or matching on a small set of variables makes the distributions Read the rest of this entry »