Rockwood, N.J. (2021). Efficient likelihood estimation of generalized structural equation models with a mix of normal and nonnormal responses. Psychometrika, 86, 642-667
(2021)
Rockwood, N.J. (2020). Maximum liklihood estimation of multilevel structural equation models with random slopes for latent covariates. Psychometrika, 85, 275-300
(2020)
Hayes, A.F. & Rockwood, N.J. (2020). Conditional process analysis: Concepts, computation, and advances in the modeling of the contingencis of mechanisms. American Behavioral Scientist, 64(1), 19-54
(2020)
Rockwood, N.J. & Jeon, M. (2019). Estimating complex measurement and growth models using the R package PLmixed. Multivariate Behavioral Research, 54(2), 288-306
(2019)
DiTrapani, J., Rockwood, N.J., & Jeon, M. (2018). Explanatory IRT analysis using the Spirit macro in SPSS. The Quantitative Methods for Psychology, 14(2), 81-98
(2018)
Jeon, M. & Rockwood, N.J. (2018). PLmixed: An R package for generalized linear mixed models with factor structures. Applied Psychological Measurement [Computer program exchange], 42(5), 401-402
(2018)
DiTrapani, J., Rockwood, N.J., & Jeon, M. (2018). IRT in SPSS using the SPIRIT macro. Applied Psychological Measurement [Computer program exchange], 42(2), 173-174
(2018)
Hayes, A.F. & Rockwood, N.J. (2017). Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. Behavior Research and Therapy, 98, 39-57
(2017)
Hayes, A.F., Montaya, A.K., & Rockwood, N.J. (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Australasian Marketing Journal (AMJ), 25(1), 76-81
(2017)
Books and Chapters
Rockwood, N.J. & Hayes, A.F. (2020). Mediation, moderation, and conditional process analysis: Regression-based approaches for clinical research. In A.G.C. Wright & M.N. Hallquist (Eds.), The Cambridge Handbook of Research Methods in Clinical Psychology (pp. 396-414). Cambridge: Cambridge University Press.
(2020)
Rockwood, N.J. & Hayes, A.F. (in press). Multilevel mediation analysis. In A.A O'Connell, D.B. McCoach, & B. Bell (Eds.), Multilevel Modeling Methods with Introductory and Advanced Applicaitons. Charlotte, NC: Information Age Publishing.
(Present)