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Jason Rights

Graduate Student
Research Area: Quantitative Methods

I am a Quantitative Methods Ph.D. student at Vanderbilt University in the Department of Psychology and Human Development. I pursue several interrelated programs of research: (1) developing R-squared measures and methods for multilevel models; (2) addressing unappreciated consequences of conflating level-specific effects in analysis of multilevel data; (3) delineating relationships between multilevel models and other commonly used models, such as mixture models; and (4) advancing model selection and comparison methods for latent variable models. To aid researchers in applying my work, I develop software (primarily in R) that is openly available for public use. 

Representative Publications


PUBLICATIONS

Rights, J.D., & Cole, D.A. (in press). Effect size measures for multilevel models in clinical child and adolescent research: New R-squared methods and recommendations. Journal of Clinical Child & Adolescent Psychology.

Cole, D.A., Zelkowitz, R.L., Nick, E.A., Lubarsky, S.R., & Rights, J.D. (in press). Simultaneously examining negative appraisals, emotion reactivity, and cognitive reactivity in relation to depressive symptoms in children. Development and Psychopathology.

Rights, J.D., & Sterba, S.K. (2018). Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures. Psychological Methods. doi:10.1037/met0000184          

Rights, J.D., Sterba, S.K., Cho, S.-J., & Preacher, K.J. (2018). Addressing model uncertainty in item response theory person scores through model averaging. Behaviormetrika. doi:10.1007/s41237-18-0052-1

Murphy, L.K., Preacher, K.J., Rights, J.D., Rodriguez, E., Bemis, H., Desjardins, L., Prussien, K.V., Gerhardt, C.A., Vannatta, K., & Compas, B.E. (2018). Maternal communication in childhood cancer: Factor analysis and relation to maternal distress. Journal of Pediatric Psychology. doi:10.1093/jpepsy/jsy054

Cole, D.A., Goodman, S, Garber, J., Cullum, K.A., Cho, S.-J., Rights, J.D., Felton, J.W., Jacquez, F.M., Korelitz, K.E., & Simon, H.F.M. (2018). Validating parent and child forms of the Parent Perception Inventory. Psychological Assessment. doi:10.1037/pas0000552

Rights, J.D., & Sterba, S.K. (2017). A framework of R-squared measures for single-level and multilevel regression mixture models. Psychological Methods. doi:10.1037/met0000139

Cole, D.A., Martin, J.M., Jacquez, F.M., Tram, J.M., Zelkowitz, R., Nick, E.A., & Rights, J.D. (2017). Time-varying and time-invariant dimensions of depression in children and adolescents: Implications for cross-informant agreement. Journal of Abnormal Psychology, 126, 635-651.

Sterba, S.K., & Rights, J.D. (2017). Effects of parceling on model selection: Parcel-allocation variability in model ranking. Psychological Methods, 22, 47-68.

Rights, J.D., & Sterba, S.K. (2016). The relationship between multilevel models and nonparametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity. British Journal of Mathematical and Statistical Psychology69, 316-343.

Sterba, S.K., & Rights, J.D. (2016). Accounting for parcel-allocation variability in practice: Combining sources of uncertainty and choosing the number of allocations. Multivariate Behavioral Research, 51, 296-313.

 

PRESENTATIONS, TALKS & SYMPOSIA 

Sterba, S.K., & Rights, J.D. (October, 2018). New recommendations on the use of R-squared differences in multilevel model comparisons. Society of Multivariate Experimental Psychology Conference, Albuquerque, NM.

Preacher, K.J., & Rights, J.D. (October, 2018). Residual covariance structures for latent growth curve models in the context of individually varying measurement occasions. Society of Multivariate Experimental Psychology Conference, Albuquerque, NM.

Sterba, S.K. & Rights, J.D. (August, 2018). Relating measures of explained variance for multilevel models and mixture models. In D. Bandalos (Chair) Division 5 Awards Symposium. American Psychological Association Convention (Division 5), San Francisco, CA.

Rights, J.D., & Sterba, S.K. (July, 2018). Quantifying explained variance in multilevel models: An integrative framework of R-squared measures. International Meeting of the Psychometric Society, New York City, NY.

Murphy, L., Rodriguez, E., Bemis, H. Desjardins, L., Rights, J.D., Gerhardt, C., Vannatta, K., Preacher, K., Compas, B. (April, 2018). Maternal communication after pediatric cancer diagnosis: Factor analysis and relation to maternal distress. Society of Pediatric Psychology Annual Convention, Orlando, FL.

Rights, J.D., & Sterba, S.K. (May, 2017). A framework of R-squared measures for single-level and multilevel regression mixture models. Modern Modeling Methods Conference, Storrs, CT.

Rights, J.D., & Sterba, S.K. (August, 2016). The relationship between multilevel models and nonparametric multilevel mixture models. In Advances in Mixture Modeling symposium with D. Steinley, J. Harring & K. Grimm. American Psychological Association, Denver, CO.

Sterba, S.K. & Rights, J.D. (August, 2016). Challenges and opportunities in psychological applications of mixture models. American Psychological Association Convention (Division 5), Denver, CO.

Rights, J.D., & Sterba, S.K. (July, 2016). Approximating level-1 and level-2 heteroscedasticity with nonparametric multilevel mixture models. International Meeting of the Psychometric Society, Asheville, NC. 

Sterba, S.K., & Rights, J.D. (November, 2015, Invited). Quantifying hidden costs of parceling in latent variable modeling. University of Notre Dame, Psychology Department Colloquia.

Sterba, S.K., & Rights, J.D. (October, 2015). Effects of parceling on model selection: Parcel-allocation variability in model ranking. Society of Multivariate Experimental Psychology Conference, Redondo Beach, CA.


PRESENTATIONS, POSTERS

Rights, J.D., & Sterba, S.K. (October, 2018). Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures. Society of Multivariate Experimental Psychology Conference, Albuquerque, NM.

Murphy, L., Rodriguez, E., Bemis, H. Desjardins, L., Rights, J.D., Gerhardt, C., Vannatta, K., Preacher, K., Compas, B. (April, 2018). Maternal communication after pediatric cancer diagnosis: Factor analysis and relation to maternal distress. Society of Pediatric Psychology Annual Convention, Orlando, FL.

Rights, J.D., & Sterba, S.K. (July, 2016). Algorithm for choosing the number of random item-to-parcel allocations in SEM. International Meeting of the Psychometric Society, Asheville, NC.

Seaman, K. L., Forman-Alberti, A. B., Rights, J. D., Howard D. V., & Howard J. H. (April, 2013). Age-related differences in the effect of statistical structure on learning in a sequentially–cued prediction task. Cognitive Neuroscience Society Annual Meeting, San Francisco, CA.

Rights, J. D., & Prinstein, M. J. (April, 2011). Depression among best friends: An examination of depression socialization and friendship quality. University of North Carolina Psychology Departmental Honors Poster Session, Chapel Hill, NC.


SOFTWARE DEVELOPMENT 

PAVranking: This R function quantifies and assesses the consequences of parcel-allocation variability for model ranking of structural equation models. Available in the semToolspackage at https://www.rdocumentation.org/packages/semTools/versions/0.4-12/topics/PAVranking

poolMAlloc: This R function employs an iterative algorithm to choose the number of random item-to-parcel allocations needed to meet user-defined stability criteria for a fitted structural equation model. Available in the semTools package at https://www.rdocumentation.org/packages/semTools/versions/0.4-12/topics/poolMAlloc

npmmApproximation: This R function outputs implied fixed effects, random effect (co)variances, and residual variance components for a given nonparametric multilevel regression mixture model. Available at https://my.vanderbilt.edu/jasonrights/software/npmmapproximation/

regMixR2: This R function computes and outputs R-squared measures and analytic decompositions of variance for single-level and multilevel regression mixture models. Available at https://my.vanderbilt.edu/jasonrights/software/regMixR2

r2MLM: R function that computes and outputs R-squared measures and analytic decompositions of variance for multilevel models. Available at https://my.vanderbilt.edu/jasonrights/software/r2MLM

modelavgIRT: R function that reads in item response theory model person scores and their associated standard errors from each of a set of candidate models and outputs model-averaged person scores and standard errors. Available at https://my.vanderbilt.edu/jasonrights/software/modelavgIRT