Alfonso J. Martinez

• 2019 BA in Psychology, California State University, Fresno
• 2022 MA in Quantitative and Psychological Foundations, University of Iowa
• 2023 MS in Statistics, University of Iowa
• 2024 PhD in Psychological and Quantitative Foundations, University of Iowa

• Generalized latent variable and psychometric modeling
• Bayesian inference, modeling, and prediction
• Longitudinal data analysis
• Measurement invariance
• Probabilistic graphical models
• Variable selection
• Computational statistics
• Estimation theory and statistical algorithm development
• Mixture modeling

Undergraduate:

• PSYC 2000 Statistics

Graduate:

• PSYC 7816 Introduction to Multivariate Analysis
• PSYC 7824 Latent Class Models and Extensions

• Psychometric Society
• American Psychological Association
• Association for Psychological Science
• National Council on Measurement in Education
• American Educational Research Association
• American Statistical Association
• Society for the Improvement of Psychological Science

Yeager, R., & Martinez, A. J. (2025). A sow’s ear purse: Developing an integrated placement test in an under-resourced English for Academic Purposes program. Language Testing, 0(0), 1–17.

Hong, H., Vispoel, W. P., & Martinez, A. J. (2024). Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments. Psych, 6(1), 111–134.

Yamaguchi, K., & Martinez, A. J. (2024). Variational Bayes inference for hidden Markov diagnostic classification models. British Journal of Mathematical and Statistical Psychology, 77, 55–79.

Martinez, A. J., & Templin, J. (2023). Approximate invariance testing in diagnostic classification models in the presence of attribute hierarchies: A Bayesian network approach. Psych, 5(3), 688–714. 

Martinez, A. J., & Templin, J. T. (2022). Estimating Bayesian diagnostic models with attribute hierarchies with the Hamiltonian-Gibbs hybrid sampler. (abstract). Multivariate Behavioral Research, 58 (1), 141-142.

Martinez, A. J., Templin, J. T., Mintz, C., Hicks, T., & Pace, J. (2022). Enabling computer adaptive assessments for slider-bar item types with the three-part beta measurement model. (abstract). Multivariate Behavioral Research, 57(1), 166.

Martinez, A. J. (2021). Factor structure and measurement invariance of the academic time management and procrastination measure. Journal of Psychoeducational Assessment, 39(7), 891–901.

Martinez, A. J. (2025, October). Are diagnostic classification models with partial monotonicity constraints enough to ensure accurate classification? Paper presented at the Annual Meeting of the Northeastern Educational Research Association, Trumbull, CT, USA. 

Martinez, A. J., Templin, J., Hicks, T., Pace, J., & Shogren, K. (2025, August). Building adaptive assessments for psychological assessments with continuous response formats. In Sanders, E. (Chair), New Twists in IRT Modeling: CAT and CDM Innovations. Symposium presented at the Annual Meeting of the American Psychological Association, Denver, CO, USA.

Han, K., Hong, H., & Martinez, A. J. (2025, August). Comparing factor structures of IPIP-NEO-120 and IPIP-HEXACO using exploratory graph analysis: A network psychometric investigation of agreeableness and openness to experience. Poster presented at the Annual Meeting of the American Psychological Association, Denver, CO, USA.

Martinez, A. J., & Templin, J. (2025, July). A Hamiltonian-Gibbs sampler with monotonicity constraints for saturated diagnostic classification models. Paper presented at the International Meeting of the Psychometric Society, Minneapolis, MN, USA. 

Kehinde, O., Martinez, A. J., & Mojoyinola, M. (2025, July). Impacts of Q-matrix design on learning DCM linear attribute hierarchies. Poster presented at the International Meeting of the Psychometric Society, Minneapolis, MN, USA.

Martinez, A. J., Templin, J., Hicks, T., Pace, J., & Shogren, K. (2025, May). Psychometric modeling of psychological assessments with continuous response formats and boundary inflation. Paper presented at the Annual Meeting of the Association for Psychological Science, Washington, D.C., USA.

Haab, S., Martinez, A. J., Patterson, C., & Templin, J. (2025, April). Creating scale score classifications with substantively meaningful cutpoints. In Zhang, J. (Chair), Cutscore Estimation via Two-Stage Analysis: Implications for Psychometrics Research and Practice. Symposium presented at the Annual Meeting of the National Council on Measurement in Education, Denver, CO, USA.

Martinez, A. J., Jung, A., Olson, J., Patterson, C., & Templin, J. (2025, April). Maximum likelihood estimation of scale score cutpoints via a two-stage mixture model likelihood. In Zhang, J. (Chair), Cutscore Estimation via Two-Stage Analysis: Implications for Psychometrics Research and Practice. Symposium presented at the Annual Meeting of the National Council on Measurement in Education, Denver, CO, USA.

Hong, H., Han, K., & Martinez, A. J. (2025, April). Evaluating the effects of different informative priors on Bayesian SEM model fit for personality measures. Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO, USA.