Valente, M. J., Rijnhart, J. J., & Miočević, M. (2022). Causal mediation effects in single case experimental designs. Psychological Methods.

 

Wurpts, I. C., Miočević, M., & MacKinnon, D. P. (2022). Sequential Bayesian data synthesis for mediation and regression analysis. Prevention Science, 23(3), 378-389.

 

MacKinnon, D. P., Smyth, H. L., Somers, J., Ho, E., Norget, J., & Miočević, M. (2022). A randomization permutation test for single subject mediation. Evaluation & the health professions, 45(1), 54-65.

 

Somer, E., Gische, C., & Miočević, M. (2022). Methods for modeling autocorrelation and handling missing data in mediation analysis in single case experimental designs (SCEDs). Evaluation & the health professions, 45(1), 36-53.

 

Miočević, M., Moeyaert, M., Mayer, A., & Montoya, A. K. (2022). Causal Mediation Analysis in Single Case Experimental Designs: Introduction to the Special Issue. Evaluation & the health professions, 45(1), 3-7.

 

Miočević, M., & Golchi, S. (2021). Bayesian Mediation Analysis with Power Prior Distributions. Multivariate Behavioral Research, 1-16. 

 

Vincze, L., Dragojevic, M., Gasiorek, J., & Miočević, M. (2021). Ethnolinguistic Identity, Coping Strategies and Language Use among Young Hungarians in Slovakia. European Journal of Applied Linguistics. Published online first: https://doi.org/10.1515/eujal-2019-0008

van Zundert, C. H. J., & Miočević, M. (2020). A comparison of meta-methods for synthesizing indirect effects. Research Synthesis Methods, 1–17.

 

Miočević, M., Klaassen, F., Geuke, G., Moeyaert, M. & Maric, M. (2020). Using Bayesian Methods to test Mediators of Intervention Outcomes in Single Case Experimental Designs (SCEDs). Evidence-based Communication Assessment and Intervention, 1-17.

Miočević, M., Levy, R., & MacKinnon, D. P. (2020). Different roles of prior distributions in the single mediator model with latent variables. Multivariate Behavioral Research, 1-21.

Miočević, M. (2019). A Tutorial in Bayesian Mediation Analysis with Latent Variables. Methodology, 15(4), 137–146.

Geuke, G., Maric, M., Miočević, M., Wolters, L. H., & de Haan, E. (2019). Testing mediators of youth intervention outcomes using Single-Case Experimental Designs (SCEDs). New Directions for Child and Adolescent Development, 167, 39-64.

Smid, S. C., McNeish, D., Miočević, M., & van de Schoot, R. (2019). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling: A Multidisciplinary Journal, 1-31.

Groenwold, R. H., Shofty, I., Miočević, M., Van Smeden, M., & Klugkist, I. (2018). Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation. BMC medical research methodology, 18(1), 174-182.

Prast, E., Van de Weijer-Bergsma, E., Miočević, M., Kroesbergen, E., & Van Luit, J. (2018). Relations between mathematics achievement and motivation in students of diverse achievement levels. Contemporary Educational Psychology, 55, 84-96.

Miočević, M., Gonzalez, O., Valente, M. J., & MacKinnon, D. P. (2018). A tutorial in Bayesian potential outcomes mediation analysis. Structural Equation Modeling: A Multidisciplinary Journal, 25(1), 121-136.

Miočević, M., MacKinnon, D. P., & Levy, R. (2017). Power in Bayesian Mediation Analysis for Small Sample Research. Structural Equation Modeling: A Multidisciplinary Journal, 24(5), 666-683.

Miočević, M., O’Rourke, H. P., MacKinnon, D. P., & Brown, H. C. (2017). Statistical properties of four effect-size measures for mediation models. Behavior Research Methods, 50(1), 285-301.

Odell, A. P., Reynolds, G. L., Fisher, D. G., Huckabay, L. M., Pedersen, W. C., Xandre, P., & Miočević, M. (2017). Attention Deficit Hyperactivity Disorder, Aggression, and Illicit Stimulant Use: Is This Self-Medication?. The Journal of Nervous and Mental Disease, 205(5), 372-379.

Cisneros, L., Bussey, K. J., Orr, A. J., Miočević, M., Lineweaver, C. H., & Davies, P. (2017). Ancient Genes Establish Stress-Induced Mutation as a Hallmark of Cancer. PLOS ONE, 12 (4), e0176258.

Kuehl, K. S., Elliot, D. L., MacKinnon, D. P., O’Rourke H. P., DeFrancesco, C., Miočević, M., Valente, M., Sleigh, A., Garg, B., & McGinnis, W. (2016). The SHIELD (Safety & Health Improvement: Enhancing Law Enforcement Departments) Study: Mixed Methods Longitudinal Findings. Journal of Occupational and Environmental Medicine, 58(5), 492-498.

Valente, M. J., Gonzalez, O., Miočević, M., & MacKinnon, D. P. (2015). A Note on Testing Mediated Effects in Structural Equation Models Reconciling Past and Current Research on the Performance of the Test of Joint Significance. Educational and Psychological Measurement, 76(6), 889-911.

Cox, M. G., Kisbu-Sakarya, Y., Miočević, M., & MacKinnon, D. P. (2014). Sensitivity plots for confounder bias in the single mediator model. Evaluation Review, 37(5), 405-31.

Kisbu-Sakarya, Y., MacKinnon, D. P., & Miočević, M. (2014). The distribution of the product explains normal theory mediation confidence interval estimation. Multivariate Behavioral Research, 49(3), 261-268.

Kuehl, K. S., Elliot, D. L., Goldberg, L., MacKinnon, D. P., Vila, B. J., Smith, J., Miočević, M., O’Rourke, H. P., Valente, M. J., DeFrancesco, C., Sleigh, A., & McGinnis, W. (2014). The safety and health improvement: enhancing law enforcement departments study: feasibility and findings. Frontiers in Public Health, 2.

ARTICLES

CHAPTERS

Miočević, M., Levy, R., & Savord, A. (2020). The Role of Exchangeability in Sequential Updating of Findings from Small Studies and the Challenges of Identifying Exchangeable Data Sets. In R. Van de Schoot & M. Miočević (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.

Miočević, M., Levy, R., & van de Schoot, R. (2020). Introduction to Bayesian Statistics. In R. Van de Schoot & M. Miočević (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.

Van de Schoot, R., & Miočević, M. (2020). Introduction to small sample sizes. In R. Van de Schoot & M. Miočević (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.

Miočević, M. & van de Schoot, R. (2019). Gentle introduction to Bayesian statistics. In J. Edlund & A. L. Nichols (Eds.), Advanced Research Methods and Statistics for the  Behavioral and Social Sciences. Cambridge, UK: Cambridge University Press.