ITP UW-Madison

Sociology 875 - Fall 2012
Interdisciplinary Training Seminar in Education Sciences

The Mediation of Causal Effects in Education
Fridays, 12:00-1:30 p.m.
Education Sciences Room 259

SCHEDULE OF MEETINGS AND READINGS

Note: The seminar series will begin on September 14, due to the SREE conference taking place on September 7.

September 14:
Felix Elwert, Sociology, “What is Causal Mediation?  Part I: Concepts.”

Readings:

Pearl (2001)
Pearl (2011)
VanderWeele (2008)

September 21:
Felix Elwert, Sociology, “What is Causal Mediation?  Part II: Identification.”

Pearl (2012)
VanderWeele (2012) - available to seminar participants
Elwert (2013) - available to seminar participants

September 28:
Sara Goldrick-Rab, Educational Policy Studies, “Mixed Methods and Mediation: Experiences in the Wisconsin Scholars Longitudinal Study.”

Caracelli & Greene (1993)
Goldrick-Rab, Harris, Trostel (2009)
Goldrick-Rab & Kelchen (2012)
Harris & Goldrick-Rab (2012)

October 5: No meeting – participants should attend the special workshop on Dec 6.

October 12:
Guanglei Hong, Comparative Human Development, University of Chicago, "New Methods for Causal Mediation Analysis."

Hong, Deutsch, Hill (2012)

October 19:
Adam Gamoran, Sociology, “Causal Effects of Social Capital: Why an Experimental Study is Not Enough to Assess Mediation.”

Turley, Gamoran, Turner & Fish (2012)

October 26: No meeting – participants should attend the special workshop on Dec 6.

November 2:
Chris Taber, Economics, "Instrumental Variable Analysis of Treatment Effects."

Card (1999)

November 9:
Judith Harackiewicz, Psychology, "Exploring Causal Mechanisms in Social Psychological Experiments and Educational Interventions."

Readings available to seminar participants:
Harackiewicz et al. (2012)
Hulleman et al. (2010)

November 16:
David Kaplan, Educational Psychology, “Searching for Uncertainty in Causal Mediation Analysis.”

Kaplan & Depaoli (In press)

November 23: No Meeting – Thanksgiving

November 30:
Peter Steiner, Educational Psychology, “Covariate Selection Strategies for Estimating Total, Direct and Indirect Effects from Observational Studies.”

December 6 (Thursday Workshop): Note Special Day, Time and Location -- 9am-noon, Room 121 Pyle Center, 702 Langdon Street

Kosuke Imai, Department of Politics, Princeton University,
“Unpacking the Black Box of Causality: The Latest Developments in Mediation Analysis.”

Background readings:

Imai et al (2011)
Imai, Keele, Yamamoto (2010)
Imai, Keele, Tingley (2010)
Further readings available to workshop participants:
Imai & Yamamoto, "Identification and sensitivity analysis for multiple causal mechanisms"
Imai, Tingley & Yamamoto, "Experimental designs for identifying causal mechanisms"

December 7 (Friday Seminar Talk):
Kosuke Imai, Department of Politics, Princeton University, “Advanced Topics in Causal Mediation Analysis.”

Imai et al (2011)
Further readings available to seminar participants:
Imai & Yamamoto, "Identification and sensitivity analysis for multiple causal mechanisms"
Imai, Tingley & Yamamoto, "Experimental designs for identifying causal mechanisms"

 

Bibilography

Caracelli, V. J., & Greene, J. C. (1993). Data analysis strategies for mixed-methods evaluation designs. Educational Evaluation and Policy Analysis 15, No. 2, 195-207.

Card, D. (1999). The Causal effect of education on earnings. In Orley Ashenfelter and David Card, editors, Handbook of Labor Economics Volume 3A. Amsterdam: Elsevier, 1999.

Elwert, F. (Forthcoming, 2013). Graphical causal models. In Handbook of Causal Analysis for Social Reserach. Ed. Steven L. Morgan. Revised Draft, Sep. 1, 2012.

Goldrick-Rab, S., Harris, D. N., & Trostel, P. A. (2009). Why financial aid matters (or does not) for college success: Toward a new interdisciplinary perspective. In Higher Education: Handbook of Theory and Research. Ed. J. C. Smart. Springer Science + Business Media B.V., 1-45.

Goldrick-Rab, S., & Kelchen, R. New experimental evidence on the impacts of the need-based Wisconsin Scholars Grant on college persistence. Wisconsin Scholars Longitudinal Study Research Update, August 13, 2012. http://www.finaidstudy.org/documents/WSLS_research%20update_august%202012.pdf

Harackiewicz, J. M., Rozek, C. S., Hulleman, C. S., & Hyde, J. S. (2012). Helping parents to motivate adolescents in mathematics and science: An experimental test of a utility-value intervention. Psychological Science 23 (8) 899-906.

Harris, D. N., & Goldrick-Rab, S. (2012). Improving the productivity of education experiments: Lessons from a randomized study of need-based financial aid. Education Finance and Policy 7, No. 2, 143-169.

Hong, G., Deutsch, J., & Hill, H.D. (2012). Ratio-of-mediator probablity weighting for causal mediation analysis in the presence of treatment-by-mediator interaction. Working paper, Oct. 7, 2012.

Hulleman, C. S., Godes, O., Hendricks, B. L., & Harackiewicz, J. M. (2010). Enhancing interest and performance with a utility value intervention. Journal of Educational Psychology. Advance online publication. doi: 10.1037/a0019506

Imai, K., Keele, L., & Yamamoto, T. (2010). Identification, inference, and sensitivity analysis for causal mediation effects. Statistical Science 24 (1), 51-71.

Imai, K., Keele, L., & Tingley, D. (2010). A general approach to causal mediation analysis. Psychological Methods 15 (4), 309-334.

Imai, K., Keele, L., Tingley, D., & Yamamoto, T. (2011). Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies. American Political Science Review 105 (4), 765-789.

Imai, K., & Yamamoto, T. (Forthcoming). Identification and sensitivity analysis for multiple causal mechanisms: Revisiting evidence from framing experiments. Political Analysis.

Imai, K., Tingley, D., & Yamamoto, T. (Forthcoming). Experimental designs for identifying causal mechanisms. Journal of the Royal Statistical Society, A (2013) 176, Part 1, pp.

Kaplan, D., & Depaoli, S. (In press). Bayesian statistical methods. Little, T. D. (ed.). Oxford Handbook of Quantitative Methods.

Pearl, J. (2001). Direct and indirect effects. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, San Francisco, CA: Morgan Kaufman, 411-20, 2001.

Pearl, J. (2011). The causal mediation formula - A guide to the assessment of pathways and mechanisms. Online, Prevention Science, DOI: 10.1007/s11121-011-0270-1, March 2012.

Pearl, J. (2012). Interpretable conditions for identifying direct and indirect effects. 2nd Revision, June 7, 2012. Unpublished MS.

Turley, R. N., Gamoran, A., Turner, A., & Fish, R. (2012). Causal effects of social capital on child outcomes. Unpublished MS.

Valeri, L. & VanderWeele, T. J. (2012). Mediation analysis allowing for exposure-mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros. Unpublished MS.

VanderWeele, T. J. (2008). Simple relations between principal stratification and direct and indirect effects. Statistics and Probability Letters 78, 2957-2962.