University of Wisconsin–Madison

Daniel Bolt

Professor

dmbolt@wisc.edu

(608) 262-4938

1082A Educational Sciences
1025 West Johnson St.
Madison, WI 53706-1706

Curriculum Vitae

Personal Biography

Dr. Bolt joined the department in the spring of 1999, coming from the Laboratory for Educational and Psychological Measurement at the University of Illinois. In addition to his own research, he collaborates on various projects related to the development and statistical analysis of educational and psychological tests. Dr. Bolt teaches courses in test theory, factor analysis, and hierarchical linear modeling.

Research Interests

My interests are in the theory and application of psychometric methods in education and psychology. I am especially interested in the application of latent variable models for purposes of test validation, assessment of individual differences (such as response styles), and modeling student growth. Most of my research is in item response theory (IRT), including its application to issues such as differential item functioning and test dimensionality assessment.

Publications

  • Lee, S. & Bolt, D.M. (2017). Asymmetric item characteristic curves and item complexity: Insights from simulation and real data analyses. Psychometrika.
  • Bolt, D.M., Dowling, N.M., Shih,Y-S., & Loh, W-Y. (2017). Using Blinder-Oaxaca decomposition to explore differential item functioning: Application to PISA 2009 Reading. In Jiao, H. & Lissitz, R. W.(Eds.). Test fairness in the new generation of large-scale assessment. Information Age Publisher.
  • Bolt, D.M., & Adams, D.J. (2017). Exploring rubric-related multidimensionality in polytomously-scored test items. Applied Psychological Measurement, 41, 163-177.
  • Le, T., Bolt, D.M., Camburn, E., Goff, P., & Rohe, K. (2017). Latent factors in student-teacher interaction factor analysis. Journal of Educational and Behavioral Statistics, 42, 115-144.
  • Lee, S., & Bolt, D.M. (2017). Using the asymmetry of item characteristic curves (ICCs) to learn about underlying item response processes. Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society. New York: Springer.
  • Deng, S., & Bolt, D.M. (2016). A sequential IRT model for multiple-choice items and a multidimensional extension. Applied Psychological Measurement, 40, 243-257.
    Online Publication/Abstract
  • Dowling, N.M., Bolt, D.M., & Deng, S. (2016). Distinguishing item sensitivity to between-person differences versus within-person change over time: An illustration using the ADAS-Cog. Psychological Assessment, 28, 1576-1585.
    Online Publication/Abstract
  • Bolt, D. M., Kim, J.-S., Blanton, M., & Knuth, E. (2016). Applications of item response theory in mathematics education research. In A. Izsák, J. T. Remillard, & J. Templin (Eds.), Psychometric methods in mathematics education: Opportunities, challenges, and interdisciplinary collaborations (pp. 31–52). Journal for Research in Mathematics Education Monograph Series No. 15. Reston, VA: National Council of Teachers of Mathematics.
  • Van der Ark, L.A., Bolt, D.M., Wang, W.-C., Douglas, J. A., & Wiberg, M. (Eds.), (2016). Quantitative psychology research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015. Switzerland: Springer International Publishing.
  • Dowling, N. M., Bolt, D.M., Deng, S., & Li, C. (2016). Measurement and control of bias in patient reported outcomes using multidimensional item response theory. BMC Medical Research Methodology, 16(1), 1.
  • Bolt, D.M. (2015). Item response models for computer-based testing. In F. Drasgow (Eds.), Technology & Testing. NCME Book Series.
  • Lu, Y., & Bolt, D.M. (2015). Examining the achivement-attitude paradox in PISA using a multilevel multidimensional IRT model for extreme response style. Large Scale Assessments in Education. 3(2).
  • Van der Ark, L.A., Bolt, D.M., Wang, W., Douglas, J.A., & Chow, S. (2015). Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society. Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society. New York: Springer.
  • Bolt, D.M. (2015). Surveys: Extreme Response.  In J.D. Wright (Ed.), International Encyclopedia of the Social and Behavioral Sciences, 2nd ed. (pp. 758-763). doi:10.1016/B978-0-08-097086-8.44065-1
  • Bolt, D.M., Lu, Y., & Kim, J. (2014). Measurement and control of response styles using anchoring vignettes: A model-based approach. Psychological Methods.
    Online Publication/Abstract
  • Bolt, D.M., Deng, S., & Lee, S. (2014). IRT model misspecification and measurement of growth in vertical scaling. Journal of Educational Measurement. 51, 141-162.
  • Millsap, R.E., van der Ark, L.A., Bolt, D.M., & Woods, C.M. (2013). New Developments in Quantitative Psychology. New Developments in Quantitative Psychology. Springer.
  • Bolt, D.M., Piper, M.E., Theobald, W.E., & Baker, T.B. (2012). Why two smoking cessation agents work better than one: Role of craving suppression. Journal of Consulting and Clinical Psychology. 80, 54-65.
  • Bolt, D.M., Wollack, J.A., & Suh, Y. (2012). Application of a multidimensional nested logit model to multiple-choice test items. Psychometrika. 77(2), 263-287.
  • Bolt, D.M., & Newton, J.R. (2011). Multiscale measurement of extreme response style. Educational and Psychological Measurement. 71, 814-833.
  • Suh, Y., & Bolt, D.M. (2011). A nested logit approach to deteting differential distractor functioning. Journal of Educational Measurement. pp. 188-205.
  • Suh, Y., & Bolt, D.M. (2010). Nested logit models for multiple-choice item response data. Psychometrika. 75(3), 454-473.
  • Johnson, T.R., & Bolt, D.M. (2010). On the use of factor-analytic multinomial logit item response models to account for individual differences in response style. Journal of Educational and Behavioral Statistics. 35(1).
  • Bolt, D.M., & Johnson, T.R. (2009). Addressing score bias and DIF due to individual differences in response style. Applied Psychological Measurement. 33(5), 335-352.
  • Bolt, D.M., Piper, M.E., McCarthy, D.E., Japuntich, S.J., Fiore, M.C., Smith, S.S., & Baker, T.B. (2009). The Wisconsin Predicting Patients’ Relapse questionnaire. Nicotine & Tobacco Research. 11(5), 481-492.
  • Park, C., & Bolt, D.M. (2008). Application of multilevel IRT to investigate cross-national skill profiles on TIMSS 2003 [Monograph]. IERI monograph Series: Issues and methodologies in large-scale assessments 1, 71-96.
  • Kim, J., & Bolt, D.M. (2007). Estimating item response theory models using Markov Chain Monte Carlo. Educational Measurement: Issues and Practice. pp. 38-51.
  • Bolt, D.M., Cohen, A.S., & Wollack, J.A. (2001). A mixture item response model for multiple-choice data. Journal of Educational and Behavioral Statistics. 26, 381-409.

Grants and Sponsorships

  • 8/31/2014 – “Engineering Effective Interventions For Tobacco Use,” Awarded By: NIH, Daniel M. Bolt, Co-Principal; Michael C. Fiore, Principal; Timothy B. Baker, Principal.
  • 5/31/2014 – “Peer Support And Peer Network Interventions,” Awarded By: IES, Daniel M. Bolt, Supporting; Erik W. Carter; Jennifer M. Asmus.
  • 2/28/2012 – “Value-Added Models And Accountability: Next Steps,” Awarded By: IES, Daniel M. Bolt, Supporting; Robert H. Meyer.
  • 6/30/2011 – “Wisconsin Center On Mental Retardation: Core Support,” Grant Institution: NIH/NICHD, Daniel M. Bolt, Other; Seltzer, Principal.
    Abstract: The proposed project will provide Core Support for 76 research projects conducted by investigators pursuing research on mental retardation and developmental disabilities at the Waisman Center. The Cores include: Administration, Research Participation, Rodent Models, Cellular and Molecular Neurosciences and BRain Imaging

Awards and Honors

  • Vilas Associates Award
    Organization: University of Wisconsin, Madison
    Purpose: Scholarship/Research
    Scope: UW Madison
    Date(s): July 2014 – July 2016
  • Outstanding Reviewer Award
    Organization: AERA
    Purpose: Service, Professional
    Scope: National
    Date(s): April 2015
  • Outstanding Reviewer Award
    Organization: AERA
    Purpose: Service, Professional
    Scope: National
    Date(s): April 2013
  • UW Chancellor’s Distinguished Teaching Award
    Date(s): April 29, 2009
  • Jason Millman Promising Scholar Award
    Organization: NCME
    Date(s): March 2003

Memberships

  • American Educational Research Association (AERA)
  • National Council on Measurement in Education (NCME)
    Scope of Organization: International
  • Psychometric Society
    Scope of Organization: International

Education

PhD, Psychology, Quantitative Methods
University of Illinois at Urbana-Champaign

MS, Statistics
University of Illinois at Urbana-Champaign

BA, Psychology/Mathematics
Calvin College