Publication Resources

Finding the right place to submit your mental health-focused statistical methods paper or your interesting statistical application in mental health data can be challenging. We have compiled a list of journals that may be suitable. The list is separated into two types of journals: journals specifically focused on methods for mental health research, and mental health clinical journals that also publish some methodologic papers. Impact factors and example papers are also provided. 


Feel free to send suggestions for additional journals or example articles.

Mental Health Methods-Focused Journals

Psychological Methods

2019 Impact Factor: 8.430

Example Manuscript

Schafer, J. L., & Kang, J. (2008). Average causal effects from nonrandomized studies: A practical guide and simulated example. Psychological Methods13, 279-313. doi:10.1037/a0014268



2019 Impact Factor: 1.959

Example Manuscripts

Hong, H., Rudolph, K. E., and Stuart, E. A. (in press). Bayesian approach for addressing differential covariate measurement error in propensity score methods. Psychometrika.

Scherer, E.A., Huang, L, Shrier, L.A. (in press). Application of Correlated Time-to-Event Models to Ecological Momentary Assessment Data. Psychometrika.


International Journal of Methods in Psychiatric Research

2019 Impact Factor: 2.341

Example Manuscript

Azur, M., Stuart, E. A., Frangakis, C. M., and Leaf, P. J. (2011). Multiple imputation by chained equations: What is it and how does it work? International Journal of Methods in Psychiatric Research, 20, 40-49. doi:10.1002/mpr.329


Behavior Research Methods

2019 Impact Factor: 4.435

Example manuscript

de Heus P. R squared effect-size measures and overlap between direct and indirect effect in mediation analysis. (2012) Behavior Research Methods, 44(1):213-221.


Multivariate Behavioral Research

2019 Impact Factor: 2.750

Example Manuscript

Jo, B., Stuart, E. A., MacKinnon, D. P., and Vinokur, A. D. (2011). The use of propensity scores in mediation analysis. Multivariate Behavioral Research, 46, 425-452. doi:10.1080/00273171.2011.576624


Structural Equation Modeling

            2019 Impact Factor 3.638

            Example Manuscript

Nguyen, TQ, Webb-Vargas, Y, Koning, IM, Stuart, EA (2016). Causal mediation analysis with a binary outcome and multiple continuous or ordinal mediators: Simulations and application to an alcohol intervention. Structural Equation Modeling, 23, 368-383. doi:10.1080/10705511.2015.1062730.  


Methodology (European Journal of Research Methods for the Behavioral and Social Sciences)

2019 Impact Factor: 1.242

Yang, Y. & Green, S.B. (2015). Evaluation of structural equation modeling estimates of reliability for scales with ordered categorical items. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 11, 23-34. doi: 10.1027/1614-2241/a000087


Journal of Educational and Behavioral Statistics

2019 Impact Factor: 2.042

Example Manuscript

Si, Y., & Reiter, J. P. (2013). Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys. Journal of Educational and Behavioral Statistics38, 499-521. doi:10.3102/1076998613480394



Mental Health Journals that Publish Methods Papers


Journal of Consulting and Clinical Psychology

2019 Impact Factor: 4.632

Example Manuscripts

Siddique, J., Chung, J. Y., Brown, C. H., & Miranda, J. (2012). Comparative effectiveness of medication versus cognitive behavioral therapy in a randomized controlled trial of predominantly low-income young minority women with depression. Journal of Consulting and Clinical Psychology, 80, 995-1006. doi:10.1037/a0030452


Green, K. M., and Stuart, E. A. (2014). Examining moderation analyses in propensity score methods: Application to depression and substance use. Journal of Consulting and Clinical Psychology, 82, 773-783. doi:10.1037/a0036515


Prevention Science

2019 Impact Factor: 3.103

Example Manuscripts

Hedeker, D. (2015). Methods for multilevel ordinal data in prevention research. Prevention Science16, 997-1006. doi:10.1007/s11121-014-0495-x


Stuart, E. A., Bradshaw, C. P., and Leaf, P. J. (2015). Assessing the generalizability of randomized trial results to target populations. Prevention Science, 16, 475-485. doi:10.1007/s11121-014-0513-z



2019 Impact Factor: 3.706

Oosterhuis, H.E., van der Ark, L.A., & Sijtsma, K. (2016). Sample size requirements for traditional regression-based norms. Assessment, 23, 191-202. doi: 10.1177/1073191115580638


Developmental Psychology

2019 Impact Factor: 3.063

Example Manuscript

Stuart, E. A. and Green, K. M. (2008). Using full matching to estimate causal effects in non-experimental studies: Examining the relationship between adolescent marijuana use and adult outcomes. Developmental Psychology, 44, 395-406doi:10.1037/0012-1649.44.2.395