Dr. Christopher M. SwobodaAssociate Professor &Associate Director of Research MethodsSchool of EducationUniversity of Cincinnati

Research Interests

As an applied quantitative research methodologist, I have focused my scholarship on implementing, eval-uating and developing tools for educational, social science and health researchers to appropriatelyanalyze the types of data that are inherent to their field. Amongst other things, these include missingdata, causal inference and single-case research designs.

Highlights

-PI, Co-PI and Co-I for over $2.9 million in current and past external and internal research grant funding-Record of collaborative national and international peer-reviewed and invited publications and presen-tations in methodological and substantive fields-Critical leadership roles including associate director of a rapidly expanding area of the school-Multiple teaching awards, including Cincy Magazine Outstanding Educator, Academy of Fellows forTeaching and Learning, UC eLearning Champion, and the student-driven CECH Golden Apple Award-Impeccable service record, including critical work in restructuring and serving on or co-chairing fourhighly successful faculty searches

Professional Experience

Assistant Professor, Quantitative and Mixed Methods Research Methodologies (QMRM), EducationalStudies, School of Education, University of CincinnatiSeptember, 2011–current

Associate Director, Research Methods, School of Education, University of CincinnatiMay, 2016–current

Program Coordinator, EDST MA, School of Education, University of CincinnatiSeptember, 2012–current

Program Coordinator, QMRM, School of Education, University of CincinnatiMay, 2012–May, 2016

Education

Ph.D. Educational Psychology - Quantitative Methods, University of Wisconsin - MadisonPh.D. Minor: StatisticsDissertation Title: A new method for multilevel multiple imputationDissertation Committee: Drs. Kim (chair), Kaplan, Bolt, Wollack, & Hoyt2011

M.A. Educational Psychology - Quantitative Methods, University of Wisconsin - MadisonThesis Title: A study of omitted variable bias in multilevel models for the NELS:88 data2008

B.S. Psychology & Political Science, University of Wisconsin - Madison2005

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

Scholarship

Publications

1. Fujishiro, K., Farley, A. N., Kellemen, M.1, & Swoboda, C. M. (2017). Exploring associations betweenstate education initiatives and teachers sleep: A social-ecological approach. Social Science & Medicine,191(1), 151-159.

2. Merianos, A. L., Swoboda, C. M., Oluwoye, O. A., Gilreath, T. D., & Unger, J. B. (in press). Depres-sion and alcohol use in a national sample of Hispanic adolescents. Substance Use & Misuse.

3. Breit-Smith, A., Olszewski, A., Swoboda, C. M., Guo, Y., & Prendeville, J. (2017). Sequence textstructure intervention during interactive book reading of expository picture books with preschoolchildren with language impairment. Online first April 25th, 2017 in: Child Language and TeachingTherapy, DOI: 10.1177/0265659017702206.

4. Richardson, G. B., Chen, C.-C.1, Dai, C.-L.1, Swoboda, C. M., Nedelec, J. L., & Chen, W.-W. (2017).Substance use and mating success. Evolution and Human Behavior, 38 (1), 48-57.

5. Headley, M. G.1,, Swoboda, C. M., & Foote, L.1 (2016). Whats missing in longitudinal studies withimplications for mathematics education? International Journal of Research & Method in Education, 39 (4)

6. Zaidi, N. B.1, Swoboda, C. M., Kelcey, B. & Manuel, R. S. (2016). Hidden item variance in multiplemini-interview scores. Advances in Health Sciences Education, 22 (2), 337-363.

7. Rojas-Guyler, L., Weber, A., King, K., Swoboda, C. M. & Vidourek, B. (2016). Examining the relation-ship between diagnosis factors, perceived social support, internal control, and quality of life amongfemale breast cancer survivors. American Journal of Health Studies, 31 (1), 23-41.

8. Richardson, G. B., Dai, C. L.1, Chen, C. C.1, Nedelec, J. L., Swoboda, C. M. & Chen, W.-W. (2016).Adolescent life history strategy in the intergenerational transmission and developmental stability ofsubstance use. Journal of Drug Issues, 46 (2), 102-121.

9. Swoboda, C. M. (in press). [Review of the book Understanding and Interpreting Educational Re-search, by R. C. Martella, J. R. Nelson, R. L. Morgan & N. E. Marchand-Martella]. The AmericanStatistician.

10. Carnahan, C., Williamson, P., Birri, N.1, Swoboda, C. M. & Snyder, K. K. 1 (2015). Increasingcomprehension of expository science text for students with Autism Spectrum Disorder. Focus onAutism and Other Developmental Disabilities first published on October 30, 2015.

11. Kelcey B. & Swoboda, C. M. (2015). Multilevel Prognostic Scores. In W. Pan & H. Bai (Eds.),Advanced propensity score methods. New York, NY: The Guilford Publications.

12. Nabors, L. A., Merianos, A. L., Vidourek, R. A., King, K. A., Rosen, B. L., Zhang1, J. & Swoboda,C. M. & Woodson, K. (in press). Predictors of flourishing for adolescents with asthma. Journal ofPediatric Psychology. DOI: 10.3109/02770903.2015.1072722

13. Kratochwill, T. R., Levin, J. R., Horner, R. H., & Swoboda, C. M. (2014). Visual analysis of single-case intervention research: Conceptual and methodological considerations. In T. R. Kratochwill &J. R. Levin (Eds.), Single-case intervention research: Methodological and data-analysis advances.Washington, DC: American Psychological Association.

14. Nabors, L. A., Burbage, M. L.1 Swoboda, C. M. & Woodson, K. (2014). Implementation of an after-school obesity prevention programing: Helping young children towards improved health. Issues inComprehensive Pediatric Nursing, first published on November 3, 2014 doi: 10.3109/01460862.2014.973081.

1Student author

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

15. Nabors, L. A., Kichler, J. C., Burbage, M. L.1 Swoboda, C. M. & Andreone, T. L. (2014). Children’slearning and goal setting at a diabetes camp. Diabetes Spectrum.

16. Richardson, G. B., Chen, C.-C.1, Dai, C.-L.1, Hardesty. P. H., & Swoboda, C. M. (2014). Life historystrategy and young adult substance use. Evolutionary Psychology, 12, 932-927.

17. Williamson, P., Carnahan, C., Birri, N.1 & Swoboda, C. M. (2014). Improving comprehension ofnarrative using character event maps for high school students with Autism Spectrum Disorder. TheJournal of Special Education, 49(1), 28-38.

18. Zaidi, N. B.1, Swoboda, C. M., Wang, L. L. & Manuel, R. S. (2014). Variance in attributes assessedby the multiple mini-interview. Medical Teacher, 26(9), 794-798.

19. Baker, T.B., Hawkins, R., Pingree, S., Roberts, L.J., McDowell, H.E., Shaw, B.R., Serlin, R., Dillenburg,L., Swoboda, C.M., Han, J.Y.1, Stewart, J.A., Carmack-Taylor, C.L., Salner, A., Schlam, T.R., Mc-Tavish, F., & Gustafson, D.H. (2011). Optimizing eHealth breast cancer interventions: Which typesof eHealth services are effective? Translational Behavioral Medicine, 1(1), 134-145.

20. Hawkins, R.P., Pingree, S., Baker, T.B., Roberts, L.J., Shaw, B.R., McDowell, H., Serlin, R. C., Dillen-burg, L., Swoboda, C.M., Han, J.Y.1, Stewart, J.A., Carmack, C.L., Salner, A., Schlam, T.R., McTavish,F., & Gustafson, D.H. (2011). Integrating eHealth with human services for breast cancer patients.Translational Behavioral Medicine, 1(1), 146-154.

21. Swoboda, C. M., Kratochwill, T. R., & Levin, J. R. (2010). Conservative dual-criterion method forsingle-case research: A guide for visual analysis of AB, ABAB, and multiple-baseline designs (WCERWorking Paper No. 2010-13). Retrieved from University of Wisconsin - Madison, Wisconsin Centerfor Education Research website: http://www.wcer.wisc.edu/publications/workingPapers/papers.php

22. Kim, J.-S., & Swoboda, C. M. (2010). Handling omitted variable bias in multilevel models: Modelspecification tests and robust estimation. In J.J. Hox & J.K. Roberts (Eds.), Handbook of advancedmultilevel analysis, 2010.

23. Hawkins, R. P., Pingree, Shaw, B., Serlin, R. C., Swoboda, C. M., Han, J.-Y.1, Carmack, C. L., &Salner, A. (2010). Mediating processes of effects of two communication interventions for breastcancer patients. Patient Education and Counseling 81, Supp. 1.

24. Waltman, M. A., Russell, D. C., Coyle, C. T., Enright, R. D., Holter, A. C.1, & Swoboda, C. M. (2009).The effects of a forgiveness intervention on patients with coronary artery disease. Psychology &Health, 24, 11–27.

External Grants Awarded

Access Group/AIR Grant“Law Student Success and Supports: Examining Bar Passage and Factors that Contribute to StudentPerformance”Farley (PI), Swoboda (Co-PI) & Chanvisanuruk$50,000 awardMarch 2017 – February 2018

IES Development and Innovation Grant (Goal 1)“Exploration of Writing Instruction for Kindergarten Children”Guo (PI), Puranik, Breit-Smith, Kelcey & Swoboda (Co-I)$1,399,191 awardAward Number: R305A160253

July 2016 – June 2020

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

IES Development and Innovation Grant (Goal 2)“Developing an Expository Book Reading Intervention for Preschool Children with Language Impair-ment”Breit-Smith (PI), Guo, Prendeville, Swoboda (Co-I) & Justice$1,456,438 awardAward Number: R324A130205

July 2013 – June 2017 (2018 - 1 year, no-cost extension)

American Educational Research Association (AERA) Grants Program Dissertation GrantSwoboda (PI)“A New Method for Multilevel Multiple Imputation”Highly competitive $20,000 National Science Foundation sponsored grant2011 – 2012

Internal Grants Awarded

AHSS/IR UC Level II Grant“Exploring Law Student Success at UC and Beyond: Bar Passage and Factors that Contribute to StudentPerformance”Farley (PI), Swoboda (Co-PI) & Chanvisanuruk$30,000 awardJuly 2017 – December 2018

CECH Technology Grant“Statistical Simulation in a ‘Big Data’ World”Swoboda (PI) & Zhang1

$2,000 award2015

NIOSH ERC Pilot Research Project Training Program, University of Cincinnati”A Hidden Occupational Health Hazard: ETS Among Child Welfare Workers”Acquavita (PI), Boon, Swoboda & Yolton$6,992 awardAugust 2013 – June 2014

University of Cincinnati URC Faculty Research GrantSwoboda (PI)“Multiple Imputation for Missing Dichotomous Cluster-Level Predictors”Highly competitive $8,000 award2012

CECH MOSAIC GrantWilliamson (PI) & Swoboda“Developing and Sustaining Instructional Strategies to Improve Special Education Preservice Teachers’Impact on Student Outcomes”$10,000 award2012

Unfunded Grant Submissions

IES Development and Innovation Grant (Goal 2)“Learning from Expository Texts about Science: A Comprehensive School-based Cognitive StrategyIntervention for Adolescents with Autism”Williamson (PI), Carnahan, Koppenhaver & Swoboda (Co-PI)

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

CCTST Innovative Methodologic Research to Advance Clinical and Translational Studies GrantSwoboda (PI) & Kelcey“Estimation of cross-classified random effects models with missing data using multiple imputation”$10,000 awardSubmitted January, 2014

National Institutes of Health (NIH) / NICHD R03Guo (PI), Breit-Smith & Swoboda (Co-I)“Interactive writing intervention in low-income preschool children.”$158,250

2014-2016

IES Development and Innovation Grant (Goal 2)Guo (PI), Breit-Smith, French & Swoboda (Co-I)”ScienceStart!: An Inquiry-Based Early Childhood Science Curriculum”submitted September 2012

University of Cincinnati URC Interdisciplinary Research GrantAcquavita (PI), Swoboda, Yolton & Wedig”Improving attendance rates of special populations at specialty clinics: What does it take?”Reported 10% Grant Funding Success Rate2012

Presentations

Invited National Research Presentations

1. Farley, A. N., Swoboda, C. M., Chanvisanuruk, J., Boards, A.1,, & McKinley, K.1, (November, 2017).Law Student Success and Supports: Examining Bar Passage and Factors that Contribute to Student Per-formance. Invited presentation at the AccessLex Legal Education Research Symposium, ClearwaterBeach, FL.

2. Swoboda, C. M. & Kim, J.-S. (November, 2012). Using multiple imputation for missing cluster-leveldata. Invited presentation at the Fall American Educational Research Association (AERA) Researchconference, Washington, DC.

3. Swoboda, C. M. (April, 2011). A new method for multilevel multiple imputation. Invited poster pre-sentation at the American Educational Research Association (AERA) annual meeting, New Orleans,LA.

Refereed National/International Research Presentations

4. Farley, A. N., Swoboda, C. M., Chanvisanuruk, J., Boards, A.1,, & McKinley, K.1, (October, 2017).Predicting Bar Passage: Preliminary Findings from Research Regarding Law Student Success and Supportsat the University of Cincinnati. Extended Research Presentation at the 2017 Assessment Institute,Indianapolis, IN.

5. Zhang, J.1, Hart, J.1, Shen, Z. W.1, Cox, K.1, & Swoboda, C. M., (Aug, 2016). When Do AuxiliaryVariables Not Work in Multiple Imputation? Paper accepted at the Joint Statistical Meetings (JSM),Chicago, IL.

6. Zhang, J.1, Wang, L. L., Lai, H., & Swoboda, C. M., (July, 2016). Using Bayesian Approach toExamine Guessing Based on Students Ability in 2PL IRT Model. Paper accepted to the InternationalMeeting of Psychometric Society (IMPS), Asheville, NC.

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

7. Zhang, J.1, Shen, Z. W.1, Cox, K.1, Hart, J.1, & Swoboda, C. M., (May, 2016). Estimating the Ef-fects of Including Differently Correlated Auxiliary Variables in Multiple Imputation Models. Paperpresented at the Modern Modeling Methods Conference (M3), Storrs, CT.

8. Zhang, J.1, Lai, H., & Swoboda, C. M., (May, 2016). Bayesian Multilevel Modeling with SmallClusters. Paper presented at the Modern Modeling Methods Conference (M3), Storrs, CT.

9. Cox, K. T.1, Hart, J. R.1, Zhang, J.1, Shen, Z.1, & Swoboda, C. M. (April, 2016). Effect of auxiliaryvariables with complex correlations on multiple imputation: initial results. Poster presented at the2016 American Educational Research Association Annual Meeting: Division D In-Progress ResearchGala, Washington D.C.Recognized as one of the top 9 proposals for the gala

10. Kelcey, B., Swoboda, C. M., Zhang, J.1, & Shen, Z.1 (August, 2015). Quantile prognostic scores. Paperpresented at the Joint Statistical Meetings (JSM2015), Seattle, WA.

11. Zhang, J.1, Swoboda, C. M., Kelcey, B., (May, 2015). Variable selection for propensity score matching inprognostic strata. Paper presented at the Modern Modeling Methods Conference (M3), Storrs, CT.

12. Swoboda, C. M. & Kelcey, B. (July, 2014). Combining propensity and prognostic scores in clustered settingsPaper presented at the 79th Annual Meeting of Psychometric Society (IMPS 2014), Madison, WI.

13. Swoboda, C. M., Kelcey, B., Zhang, J.1, Yanovsky, B.1 (April, 2014). Estimation of cross-classified randomeffects models with missing data using multiple imputation. Paper presented at the American EducationalResearch Association (AERA) annual meeting, Philadelphia, PA.

14. Zaidi, N.1 & Swoboda, C. M. (April, 2014). Generalizability of attributes assessed by the multiple miniinterview. Paper presented at the Ottawa Conference, Ottawa, Canada.

15. Nabors, L., Woodson, K., Burbage, M.1, Swoboda, C. M. (March, 2014). Children’s Healthy Eating andExercise Program (CHEE) Paper presented at the Society for Public Health Education (SOPHE) 65thannual meeting, Baltimore, MD.

16. Swoboda, C. M. (April, 2013). Multiple imputation for missing dichotomous cluster-level predictors. Paperpresented at the American Educational Research Association (AERA) annual meeting, San Francisco,CA.

17. Richardson, G. B., Dai, C. L.1, Chen, C. C.1, & Swoboda, C. M. (June, 2012). Sex and drugs: The recip-rocal longitudinal effects between young adult mating effort and substance use. Research paper presentedat the 2012 Conference of the Human Behavior & Evolution Society, Albuquerque, NM.

18. Swoboda, C. M. & Kim, J.-S. (April, 2012). Using multilevel dependencies to improve estimation withmissing data. Paper presented at the American Educational Research Association (AERA) annualmeeting, Vancouver, British Columbia, Canada.

19. Kim, J.-S. & Swoboda, C. M. (April, 2012). Strategies for imputing missing values in hierarchical data:Multilevel multiple imputation. Poster presented at the American Educational Research Association(AERA) annual meeting, Vancouver, British Columbia, Canada.

20. Swoboda, C. M., Atwood, A. K., DeWald, C. & Serlin, R. C. (April, 2011). Repercussions for covariateselection procedures and missing data handling mechanisms with missing covariate data. Paper presentedat the American Educational Research Association (AERA) annual meeting, New Orleans, LA.

21. Atwood, A. K., Swoboda, C. M., & Serlin, R. C. (April, 2011). The selection of covariates under realistic,less than ideal conditions. Paper presented at the American Educational Research Association (AERA)annual meeting, New Orleans, LA.

22. Swoboda, C. M. & Kim, J.-S. (July, 2010). Multilevel multiple imputation using R. Paper presented atthe 75th Annual Meeting of the Psychometric Society (IMPS 2010), Athens, GA.

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

23. Swoboda, C. M. & Kim, J.-S. (May, 2010). Multiple imputation methods with multilevel data: A simulationstudy. Paper presented at the American Educational Research Association (AERA) annual meeting,Denver, CO.

24. Kim, J.-S. & Swoboda, C. M. (May, 2010). Multiple imputation methods with multilevel data: Theory& an example. Paper presented at the American Educational Research Association (AERA) annualmeeting, Denver, CO.

25. Atwood, A. K., Swoboda, C. M., & Serlin, R.C. (May, 2010). The impact of selection procedures fornonnormal covariates on the Type I error rate and power of ANCOVA. Paper presented at the AmericanEducational Research Association (AERA) annual meeting, Denver, CO.

26. Swoboda, C. M. & Kim, J.-S. (April, 2009). Evaluating the effectiveness of tests for omitted variableswhile accommodating missing data. Paper presented at the American Educational Research Association(AERA) annual meeting, San Diego, CA.

27. Atwood, A. K., Swoboda, C. M., & Serlin, R. C. (April, 2009). The impact of covariate selection procedureson the Type I error rate and power of ANCOVA. Paper presented at the American Educational ResearchAssociation (AERA) annual meeting, San Diego, CA.

28. Hawkins, R. P., Pingree, S., Shaw, B., Serlin, R. C., Swoboda, C. M., Han, J.-Y.1, Carmack, C. L. & Sal-ner, A. (May, 2009). Mediating Processes and Effects of Two Communication Interventions for Breast CancerPatients. Paper presented at the annual meeting of the International Communication Association,Montreal, Quebec, Canada.

29. Kim, J.-S., Frees, E.W., & Swoboda, C.M. (June, 2008). Multilevel Model Specification Tests Using theGeneralized Methods of Moment (GMM) Estimation Techniques. Paper presented at the InternationalMeeting of the Psychometric Society, Durham, NH.

30. Swoboda, C. M. & Kim, J.-S. (April, 2007). A study of omitted variable bias in multilevel models for theNELS:88 data. Paper presented at the American Educational Research Association (AERA) annualmeeting, Chicago, IL.

Regional / Local Research Presentations

31. Hart, J.R., Zhang, J., Shen, Z., Cox, K., and Swoboda, C. M. (March, 2016). Exploring the Effect ofAuxiliary Variable Manipulation upon Multiple Imputation Efficiency under Realistic Conditions.Poster presented at the 2016 Spring Research Conference, Lexington, KY.

Refereed National Training Sessions

32. Co-instructor, Professional Development and Training Course “Propensity Score Methods for CausalInference in Educational Research”, American Educational Research Association (AERA) Washing-ton D.C., 2016

4-hour training course revised and accepted a fourth time through a very competitive application processApril 2016

33. Co-instructor, Professional Development and Training Course “Propensity Score Matching UsingR”, American Educational Research Association (AERA) Chicago, IL, 2015

4-hour training course accepted a third time through a very competitive application processApril 2015

34. Co-instructor, Professional Development and Training Course “Propensity Score Matching UsingR”, American Educational Research Association (AERA) Philadelphia, PA, 2014

4-hour training course accepted again through a very competitive application processApril 2014

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

35. Co-instructor, Professional Development and Training Course “Propensity Score Matching UsingR”, American Educational Research Association (AERA) San Francisco, 2013

4-hour training course offered through a very competitive application processMay 2013

Invited Local Research Presentations

36. Swoboda, C. M., (September, 2017). Collaboration as a Quantitative Research Methodologist: LessonsAcross Partnerships. Paper presented at Power Friday, Cincinnati, OH.

37. Swoboda, C. M., (September, 2015). The Exceptional Fortune of the Michigan Missing Data. Paperpresented at the Quantitative and Mixed Methods Research Methodologies (QMRM) Brown Bag,Cincinnati, OH.

38. Zhang, J.1, Lai, M., Swoboda, C. M. & Hart, R.1, (November, 2015). Bayesian multilevel modelingwith small numbers of clusters. Paper presented at the Quantitative and Mixed Methods ResearchMethodologies (QMRM) Brown Bag, Cincinnati, OH.

39. Swoboda, C. M. (October, 2012). Solving missing data problems. Invited presentation for Fusion FinalFridays, FUSION Center, Cincinnati, OH.

Presentations on the Scholarship of Teaching and Learning

40. Swoboda, C. M. & Palmieri, M. (September, 2015). The Right Tools for the Job: Technology DrivesScalability and Success for Online Graduate Statistics Education2. Invited Presentation for the IT@UCFaculty Technology Showcase, Cincinnati, OH.

41. Swoboda, C. M. (November, 2014). Blackboard Exemplary Course Panel, Innovation: Virtual Lab Usagein Graduate Statistics Education2. Invited Presentation for CET&L, Cincinnati, OH.

Teaching

Awards, Certifications and Teaching Presentations

Member Academy of Fellows for Teaching and Learning (2017)

University of Cincinnati eLearning Champion

Cincy Magazine 2015 Outstanding Educator

2012-2013 CECH Golden Apple Award Winner - Educational Studies

Quality Matters Certification - EDST 7010 - December 2014

“Blackboard Exemplary Courses”, University of Cincinnati CET&L Invited Presentation

University of Cincinnati

Courses Created / Redesigned

Statistical Data Analysis I (EDST 7010) - Completely redesigned and developed for online instructionwith Quality Matters Certification as of December 2014

Statistical Data Analysis II (EDST 7011) - Completely redesigned and developed for online instructionReading Advanced Quantitative Research (EDST 8043) - Course concept and developmentBasics of Propensity Score Match (EDST 7086) - Summer Workshop concept and development

2Cross-Listed with Service

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

Courses Taught

Student Evaluation Average Computed Instructor Value = 4.72 (out of 5)

Introductory Statistical Methods (EDST 710)Statistical Data Analysis I (EDST 7010)Intermediate Statistical Methods (EDST 711)Statistical Data Analysis II (EDST 7011)Basics of Propensity Score Matching (EDST 7086)Multivariate Data Analysis (EDST 8041)Reading Advanced Quantitative Research (EDST 8043)Propensity Score Reading Group (EDST 8071)Professional Seminar I in Educational Studies (EDST 9001)Professional Seminar III in Educational Studies (EDST 903)Seminar in Educational Studies: “Conducting Quantitative Methodological Research in Education Us-ing R” (EDST 9089)Guided Research and Individual Study

University of Wisconsin - Madison

Instructor and Teaching Assistant

Statistical Methods Applied to Education IStatistical Methods Applied to Education IIIntroduction to the Design of Educational Experiments

Mentorship

PhD Students

Current PhD Advisees

Hart, J. Ryan, EDSTAugust 2014 – currentMentored Research: Hart, J.R., Zhang, J., Shen, Z., Cox, K., and Swoboda, C. M. (March, 2016).Exploring the Effect of Auxiliary Variable Manipulation upon Multiple Imputation Efficiency underRealistic Conditions. Poster presented at the 2016 Spring Research Conference, Lexington, KY.

McKinley, Keanen, EDSTSeptember, 2016 – current

Zhang, Jiaqi, EDSTMarch, 2012 – currentMentored Research:“Variable Selection in Propensity Score Analysis Combining With Prognostic Score Analysis” Posterpresented 3/14 at the University of Cincinnati Graduate Poster ForumZhang, J., Hart, J., Shen, Z. W., Cox, K., & Swoboda, C. M., (Aug, 2016). When Do Auxiliary VariablesNot Work in Multiple Imputation? Paper accepted at the Joint Statistical Meetings (JSM), Chicago, IL.

Past PhD Advisees

Zaidi (Bibler), Nikki, EDSTFebruary, 2012 – May, 2015Mentored Research: “The Generalizability of Attributes Assessed in the Multiple Mini Interview(MMI)” Poster presented 3/13 at the University of Cincinnati Graduate Poster ForumStudent Co-Authored Publication(s):

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

Zaidi, N. B., Swoboda, C. M., Wang, L. L. & Manuel, R. S. (2014). Variance in attributes assessed bythe multiple mini-interview. Medical Teacher, 26(9), 794-798.Zaidi, N. B., Swoboda, C. M., Kelcey, B. & Manuel, R. S. (accepted). Hidden item variance in multiplemini-interview scores. Advances in Health Sciences Education

Headley, Gail, EDSTAdvisor: September, 2012 – January, 2015Committee Member: January, 2015 – June 2016Mentored Research: “Developing a Theory of Symbolic Mathematics Language Literacy” Poster pre-sented 3/13 at the University of Cincinnati Graduate Poster ForumStudent Authored Publication(s): Headley, M. G., Swoboda, C. M., & Foote, L. (in press). What’smissing in longitudinal studies with implications for mathematics education? International Journal ofResearch & Method in Education

Current and Past PhD Committee Memberships

Biales, Carrie, EDSTChamberlain, Leah, EDSTClark, Rachael, EDSTClarke-Meyers, Katherine, EDSTCosmah, Michelle, EDLDCox, Kyle, EDSTDagg, Jack, EDSTDerickson, Ryan, EDSTFabby, Carol, EDSTFinke, Greg, EDLDFoote, Lori, EDSTGuerin, Rebecca, EDSTJones, David, HPEKestler, Jessica, EDSTLiu, Yuanfang, EDSTPacker, Chad, EDLDProfitt, Aaron, EDSTRoberts, Charles, CNSLSellers, Greg, EDSTShen, Zuchao ”William”, EDSTStackpole, Ric, EDSTSun, Shuyan, EDSTSurrette, Tim, CI EdDTheurer, Pamela, EDLD EdDTunningly, Joan, EDSTVerkamp, Brian, EDSTWang, Shanshan, EDSTWeber, Amy, HPEWight, Alan, EDSTYanovsky, Boris, EDST

Master’s Students

Current and Past Master’s Advisees

Onder, YaseminMcKinley, Keanen, EDST

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

DeSantis, Andrea, EDSTWells, Chad, EDST Zhang, Jiaqi, EDST

Current and Past Master’s Committees

Cox, Kyle, EDSTGao, Liwen, EDST

Service

Department of Educational Studies and School of Education

Leadership and Committee Roles

Associate Director, Research Methods Sub-unit of the School of EducationMay, 2016 – current

Program Coordinator, Educational Studies MASeptember, 2016 – current

Program Coordinator, Quantitative and Mixed Methods Research Methodologies (QMRM)May, 2012 – current

Educational Studies PhD Council Representative, Quantitative and Mixed Methods Research Method-ologies (QMRM)May, 2012 – current

School of Education Leadership Council Representative, Quantitative and Mixed Methods ResearchMethodologies (QMRM)May, 2012 – current

School of Education Restructuring Committee RepresentativeSeptember, 2014 – current

School of Education eLearning Committee Representative, Quantitative and Mixed Methods Re-search Methodologies (QMRM)October, 2013 – November, 2014

Admissions Co-Coordinator, Research MethodologiesOctober 2011 – March, 2012

Faculty Search Committees

Search Committee Co-Chair, CECH Data Analytics Cluster Hire SearchNovember, 2014 – current

Search Committee Member, Math Education Faculty Member, Hired Dr. Anna DejarnetteNovember, 2013 – February, 2014

Search Committee Co-Chair, Quantitative Methodologist, Hired Dr. Ben KelceySeptember, 2012 – December, 2012

Search Committee Member, Mixed Methodologist, Hired Dr. Vicki Plano ClarkNovember, 2011 – February, 2012

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

College of Criminal Justice, Education and Human Services

Co-Creator and co-coordinator of Power Fridays (formerly Junior Faculty Support Group)Monthly Presentations and Social Activities for Graduate Students and FacultySeptember, 2013 – April, 2016

Invited Presenter “Seeking an Academic Faculty Position”Graduate Student Professional Development Session at Power FridayApproximately 25 students in attendanceFebruary 7, 2014

University of Cincinnati

Swoboda, C. M. & Palmieri, M. (September, 2015). The Right Tools for the Job: Technology Drives Scala-bility and Success for Online Graduate Statistics Education3. Invited Presentation for the IT@UC FacultyTechnology Showcase, Cincinnati, OH.

Swoboda, C. M. (November, 2014). Blackboard Exemplary Course Panel, Innovation: Virtual Lab Usage inGraduate Statistics Education3. Invited Presentation for CET&L, Cincinnati, OH.

Invited Presenter, Navigating Your Early CareerPresentation for the CET&L Junior Faculty Learning Community (JRFLC)January, 2016

Invited Presenter, Teach Me To Teach: Pedagogical Preparation Seminar, Graduate Association Teach-ing EnhancementSolo or paired presentation and discussion with a large group of doctoral studentsDecember, 2012; April, 2013; April, 2014; December, 2014

Invited Presenter, Developing Your Teaching Philosophy, Graduate Association Teaching Enhance-mentPanel discussion with a large group of doctoral studentsMay, 2012

Professional

Ad-hoc Reviewer, Evaluation Review

Ad-hoc Reviewer, Exceptional Children

Ad-hoc Reviewer, JESPAR

Ad-hoc Reviewer, Journal of Statistics Education

Conference Proposal Reviewer (AERA)Multilevel Models SIG, 2013, 2014, 2015, 2016Educational Statisticians SIG, 2013, 2014Division D - Measurement and Research Methodology, Section 2, 2014

Book Proposal Reviewer, Hierarchical Linear Models for Education, SAGE PublicationsMarch, 2013

Session Chair, ”Research on Accommodating Missing Data”, AERA Vancouver, 2012

Invitation-only session chair for the presentation and discussion of several research papersApril, 2012

3Cross-Listed with Presentations

Contact Me: christopher.swoboda@uc.edu, 513-556-0782

Professional Memberships

American Educational Research Association:(Division D, Educational Statisticians SIG, Multilevel Models SIG)Psychometric SocietyAmerican Statistical Association

Statistical Computing Expertise

Expertise / proficiency in: R, LATEX, SPSS, SAS, HLM, Mplus, Excel, Mathematica, C++, Java

Contact Me: christopher.swoboda@uc.edu, 513-556-0782