Education

Doctoral Candidate in Education, Emphasis in Quantitative Methods
University of California, Santa Barbara
Advisor: Andrew Maul

Master of Arts in Education
University of California, Santa Barbara, 2020

Master of Arts in Research Methods and Statistics
University of Denver, 2017
Advisor: Kathy Green

Graduate Certificate in Measurement, Statistics and Evaluation
University of Maryland, College Park, 2012
Advisor: Gregory R. Hancock

Bachelor of Arts in Communication
University of Delaware, 2009
Minors: Psychology, Anthropology

Research

Publications

  1. Wolf, M. G., Ihm, E., Maul, A., & Taves, A. (2022). Survey item validation. In S. Engler & M. Stausberg (Eds.), Handbook of Research Methods in the Study of Religion (2nd ed.). Routledge.

  2. McNeish, D. & Wolf, M. G. (2021). Dynamic Fit Index Cutoffs for Confirmatory Factor Analysis Models. Psychological Methods. https://doi.org/10.1037/met0000425

  3. Clairmont, A., Wolf, M. G., & Maul, A. (2021). The prevention and detection of deception in self-report survey data. In U. Luhanga & G. Harbaugh (Eds.), Basic Elements of Survey Research in Education: Addressing the Problems Your Advisor Never Told You About. Charlotte, NC: Information Age Publishing.

  4. McNeish, D., & Wolf, M.G. (2020). Thinking twice about sum scores. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01398-0

  5. Luo, Y. & Wolf, M. G. (2019). Item parameter recovery for the two parameter testlet model with different estimation methods. Psychological Test and Assessment Modeling, 61(1), 65-89.

  6. Ghafoori, B., Wolf, M. G., Nylund-Gibson, K., & Felix, E. D. (2019). A naturalistic study exploring mental health outcomes following trauma-focused treatment among diverse survivors of crime and violence. Journal of Affective Disorders, 245, 617–625. https://doi.org/10.1016/j.jad.2018.11.060

  7. Raines, T.C., Gordon, M., Harrell-Williams, L.M., Diliberto, R.A, & Parke, E.M. (2017). Adaptive skills and academic achievement in Latino students. Journal of Applied School Psychology, 245 - 260. https://doi.org/10.1080/15377903.2017.1292974

  8. Gordon, M., VanderKamp, E. & Halic, O. (2015). Research brief: International Baccalaureate programmes in Title I schools in the United States: Accessibility, participation and university enrollment. https://www.ibo.org/globalassets/publications/ib-research/title-1-schools-research.pdf

  9. Bergeron, L. & Gordon, M. (2015). Establishing a STEM pipeline: Trends in male and female enrollment and performance in higher level STEM courses. International Journal of Science and Mathematics Education, 1 - 18. http://dx.doi.org/10.1007/s10763-015-9693-7

  10. Gordon, M., & Bergeron, L. (2014). The use of multilevel modeling and the level two residual file to explore the relationship between Middle Years Programme student performance and Diploma Programme student performance. Social Science Research, 50, 147-163. https://doi.org/10.1016/j.ssresearch.2014.11.004

Under Review

  1. Wolf, M. G. & Denison, A. (under review). Survey uses may influence survey responses.

  2. Wolf, M. G. & McNeish, D. (under review). Dynamic fit index cutoffs for one-factor models.

  3. Boness, C., Helle, A. C., Miller, M. B., Wolf, M. G., & Sher, K. J. (under review). Who opts in to alcohol feedback and how does that impact behavior? A pilot trial.

Packages and Applications

  1. Wolf, M. G. & McNeish, D. (2020). Dynamic Model Fit. R Shiny application version 0.1.0. https://www.dynamicfit.app

Presentations

  1. Wolf, M. G. & McNeish, D. (2022, April). Dynamic Model Fit Indices: A R Shiny Application. In D. Katz (Chair), Past, Present, and Future of Model Fit: Modern Solutions to Historical Challenges. Symposium to be conducted at the annual meeting of the American Educational Research Association.

  2. McNeish, D. & Wolf, M. G. (2022, April). Unresolved Issues with Hu and Bentler Cutoffs and A Method to Derive More Appropriate Cutoffs. In D. Katz (Chair), Past, Present, and Future of Model Fit: Modern Solutions to Historical Challenges. Symposium to be conducted at the annual meeting of the American Educational Research Association.

  3. Wolf, M. G., Ihm, E., Katz, D., & Maul, A. (2020, June). Improving Psychological Measurement: Introducing the RPE Method. Workshop presented at the annual meeting of the Society for the Improvement of Psychological Science, Virtual Meeting.

  4. Wolf, M. G. (2020, April). The Response Process Evaluation Method. Paper presented at the meeting of the International Objective Measurement Workshop, San Francisco, CA.

  5. Wolf, M. G. & Ihm, E. (2019, November). Validation Methods and Results of the Inventory of Non-Ordinary Experiences (INOE). In C. Kravette (Chair), Comparing Non-Ordinary Experiences across Cultures: Methodological Innovations and Findings from the US and India. Symposium conducted at the annual meeting of the American Academy of Religion.

  6. McNeish, D. & Wolf, M. G. (2019, September). Sum Scores are Factor Scores. Presented at Arizona State University for the Quantitative Psychology Design and Data Analysis seminar, Tempe, AZ.

  7. Wolf, M. G. (2019, April). On a scale of one to ten. Presentation given at UCSB Grad Slam Finals, Santa Barbara, California.

  8. Wolf, M. G., Clairmont, A., Maul, A., Furlong, M. J., & Stiblina, V. (2019, April). A Method for Detecting Invalid Responses. Paper presented at the annual meeting of the American Educational Research Association, Toronto, Canada.

  9. Wolf, M. G., Nylund-Gibson, K., Dowdy, E., & Furlong, M. J. (2019, April). A comparison of categorical and continuous latent variable models in a moderation framework. In O. Simon (Chair), Mixture Modeling in Practice. Symposium conducted at the annual meeting of the American Educational Research Association, Toronto, Canada.

  10. Clairmont, A., Wolf, M. G., & Maul, A. (2019, April). Invalid Response and Institutional Trust. Paper presented at the annual meeting of the American Educational Research Association, Toronto, Canada.

  11. Wolf, M. G., & Bergeron, L. (2018, November). Using different data sources to address the same research questions: Evaluating the effectiveness of new curriculum on student outcomes. Paper presented at the annual meeting of the California Educational Research Association, Anaheim, CA.

  12. Clairmont, A., Wolf, M. G., & Maul, A. (2018, April). A taxonomy of invalid responders: Understanding a threat to validity. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.

  13. Clairmont, A., Wolf, M. G., & Maul, A. (2018, April). Motivations of invalid responses: Consequences for Validity. Paper presented at the meeting of the International Objective Measurement Workshop, New York, NY.

  14. Wolf, M. G. (2018, April). Congruence: Developing valid psychological measures and assessments. Poster presented at the annual meeting of the American Educational Research Association, New York, NY.

  15. Wolf, M. G. (2018, April). Validation in the absence of traditional constructs. Paper presented at the meeting of the International Objective Measurement Workshop, New York, NY.

  16. Rodriguez, T., Ryan, M., & Gordon, M. (2017, February). Big 5 personality traits and self-report of cultural competence in school psychology professionals. In M. Beidleman (Chair), Examining the measurement and influences on self-reported cultural competency in school psychologists. Symposium conducted at the meeting of the National Association of School Psychologists, San Antonio, TX.

  17. Raines, T. C., Zytka, K, Gordon, M., & Mottes, A. (2017, February). Exploring the relationships between international immersion experiences and cultural competence. In M. Beidleman (Chair), Examining the measurement and influences on self-reported cultural competency in school psychologists. Symposium conducted at the meeting of the National Association of School Psychologists, San Antonio, TX.

  18. Raines, T.C., Gordon, M., Dilberto, R., Parke, E. (2016, August). Adaptive Functioning and Academic Achievement in Latino Students. Poster presented at the Annual Convention of American Psychological Association, Denver, CO.

  19. Gordon, M., Halic, O., & VanderKamp, E. (2016, April). Improving college enrollment among low income and minority students in Title I schools. Poster presented at the annual meeting of the American Educational Research Association, Washington, DC.

  20. Bergeron, L. & Gordon, M. (2014, April). Women in secondary STEM courses; Establishing a pipeline for success. Roundtable discussion at the annual meeting of the American Educational Research Association, Philadelphia, PA.

  21. Gordon, M. & Bergeron, L. (2013, May). The impact of middle school achievement on high school achievement. Poster presented at the annual meeting of the Modern Modeling Methods Conference, Storrs, Ct.

  22. Gordon, M. & Bergeron, L. (2012, August). The relationship between gender and STEM performance and enrollment. Paper presented at the annual meeting of the International Conference on Learning, London, UK.

Professional Service

Leadership

Membership

Manuscript Reviewing

Honors and Awards

Research and Work Experience

Data Consultant, 2021 - Present
New Tech Network

Statistics Support Peer, 2021 - Present
University of California, Santa Barbara

Psychometric Specialist, 2017 – Present
John Templeton Foundation Grant (61187): What is Religious Experience?
Validating and Testing the Inventory of Non-Ordinary Experiences
University of California, Santa Barbara

Teaching Assistant, 2019 – 2021
Introduction to Statistics
University of California, Santa Barbara

Graduate Student Researcher, 2016 – 2019
Institute of Education Sciences Grant (R305A160157): Validation of a Measure to
Assess the Socio-emotional Health of Secondary Students
University of California, Santa Barbara

Principal Investigator, 2016 – 2017
New Tech Network

Statistical Software Support and Tutor, 2017

Quantitative Consulting, 2015 – 2016
International Baccalaureate

Research Assistantship, 2015 – 2016
University of Denver

Research Analyst, 2012 – 2015
International Baccalaureate

Student Federal Employee, 2012
Department of Education

Teaching Assistant, 2010 – 2012
Quantitative Methods, Classroom Assessment University of Maryland, College Park

Coursework

Structural Equation Modeling, Constructing Measures, Analyzing and Validating Measures, Item Response Theory, Psychological Network Analysis, Psychometrics, Bayesian Statistics, Mixture Modeling, Multi-Level Modeling, Causal Inference, Meta-Analysis, Empirical Research Methods, Program Evaluation, Applied Sampling, Survey and Design Analysis, Philosophy of Measurement, Introduction to SAS, Introduction to Simulation, Multivariate Data Analysis, Applied Measurement, Factor Analysis, Quantitative Research Methods I & II, Applied Multiple Regression Analysis, Classroom Assessment & Evaluation, Introduction to Qualitative Research, Ethnography, Anthropology of Education, Social Psychology

Software

Proficient: R, Shiny, SPSS, Mplus, HLM
Intermediate: Excel, GPower
Basic: SAS, Stata