Additional reading

Conniffe, Denis, Vanessa Gash, and Philip J. O'Connell. 2000. Evaluating state programmes: "Natural experiments" and propensity scores . The Economic and Social Review 31, no. 4 (October): 283-308.

Danielsson, Stig. n.d. The propensity score and estimation in nonrandom surveys: An overview . Report no 18 from the project, "Modern statistical survey methods." Sweden : University of Linköping , Department of Statistics.

Guo, Shenyang , Richard Barth, and Claire Gibbons. 2004. Introduction to propensity score matching: A new device for program evaluation . PowerPoint presentation from a workshop presented at the annual conference of the Society for Social Work Research, New Orleans .

Imai, Kosuke, and David A. Van Dyk. 2004. Causal inference with general treatment regimes: Generalizing the propensity score . Journal of the American Statistical Association 99, no. 467 (September): 854-66.

Quigley, Denise D. 2003. Using multivariate matched sampling that incorporates the propensity score to establish a comparison group . CSE technical report no. 596. Center for the Study of Evaluation. University of California , Los Angeles .

Rosenbaum, P. R. and Rubin, D. B. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70: 41-55.

Taylor, H. 2000. Does internet research "work"? Comparing on-line survey results with telephone surveys. International Journal of Market Research 42: 51-63.

Taylor, H., Bremer, J., Overmeyer, C., Siegel, J. W., and Terhanian, G. 2001.

The record of internet-based opinion polls in predicting the results of 72 races in the November 2000 US elections . International Journal of Market Research 43: 127-36.

Terhanian, George, and John Bremer. 2000 Confronting the selection-bias and learning effects problems associated with internet research. Harris Interactive white paper, August 16.

Terhanian, George, John Bremer, Renee Smith, and Randy Thomas. 2000. Correcting data from online surveys for the effects of nonrandom selection and nonrandom assignment. Harris Interactive white paper.

Terhanian, G., Smith, R., Bremer, J., and Thomas, R. K. 2001. Exploiting analytical advances: Minimizing the biases associated with internet-based surveys of non-random samples. ARF/ESOMAR: Worldwide Online Measurement, ESOMAR Publication Services 248: 247-72.