Alfonso J. Martinez

Profile photo of Dr. Alfonso J. Martinez (PQP)

Assistant Professor of Psychology
Curriculum Vitae

Email: [email protected]

 

    • 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
    • Computational statistics
    • Estimation theory and statistical algorithm development
    • Mixture modeling

  • Undergraduate:

    • PSYC 2000 Statistics

    Graduate:

    • PSYC 7816 Introduction to Multivariate Analysis
    • Psychometric Society
    • American Psychological Association
    • Association for Psychological Science
    • National Council on Measurement in Education
    • American Educational Research Association
    • American Statistical Association

  • 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.

     

  • Yanez, G., Martinez, A. J., Dizdaric, I., & Ali, S. (2024, August). A rural adolescent healthcare career development program in the context of the COVID-19 pandemic. Poster presented at the Annual Meeting of the American Psychological Association, Seattle, OR, USA. 

    Hong, H., & Martinez, A. J. (2024, August). Evaluating and comparing the performance of exploratory and Bayesian structural equation models. Poster presented at the Annual Meeting of the American Psychological Association, Seattle, OR, USA.

    Yeager, R., & Martinez, A. J. (2024, July). Developing an efficient EAP placement test using integrated tasks to assess receptive and productive skills. Poster presented at the Language Testing Research Colloquium, Innsbruck, Austria.

    Martinez, A. J., & Hong, H. (2024, April). Examining the factor structure of personality with Bayesian SEM. Paper presented at the Annual Meeting of the Midwestern Psychological Association, Chicago, IL, USA.

    Martinez, A. J. (2023, July). Multidimensional beta factor analysis for bounded & asymmetric item response data. Paper presented at the International Meeting of the Psychometric Society, College Park, MD, USA.

    Martinez, A. J. (2023, April). Modeling bounded and skewed item response data with the multidimensional beta factor model. Paper presented at the Annual Meeting of the Western Psychological Association, Riverside, CA, USA. 

    Martinez, A. J., Niazi, F., Zhang, J., & Templin, J. (2023, April). Combining Gibbs sampling with Hamiltonian Monte Carlo for estimation of Bayesian diagnostic models. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL, USA.

    Martinez, A. J., & Rios, J. A. (2023, April). The impact of rapid guessing on model fit and factor-analytic reliability. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL, USA. 

    Martinez, A. J., & Rios, J. A. (2023, April). How tenable are modeling assumptions around rapid guessing behavior? Results from a large corpus of low-stakes assessments. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL, USA. 

    Deng, J., Rios, J. A., & Martinez, A. J. (April, 2023). A comparison of rapid guessing scoring approaches: An applied analysis. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Chicago, IL, USA.