Jason Rights

Assistant Professor

Research Area

Education

B.S., Psychology and Mathematics; University of North Carolina at Chapel Hill, 2011
M.S., Psychology (Quantitative Methods); Vanderbilt University, 2015
Ph.D., Psychology (Quantitative Methods); Vanderbilt University, 2019

Research

My research is primarily focused on addressing methodological complexities and developing statistical methods for multilevel/hierarchical data contexts (e.g., patients nested within clinicians, students nested within schools, or repeated measures nested within individuals).

Specifically, I am currently pursuing 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.


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.

Fales, J.L., Murphy, L.K., Rights, J.D., & Palermo, T.M. (in press). Daily peer victimization experiences of adolescents with and without chronic pain: Associations with mood, sleep, pain, and activity limitations. Journal of Pain.

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. 45, 495-503.

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, 43, 1114-1127.

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, 30, 1065-1081.

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.


Jason Rights

Assistant Professor

B.S., Psychology and Mathematics; University of North Carolina at Chapel Hill, 2011
M.S., Psychology (Quantitative Methods); Vanderbilt University, 2015
Ph.D., Psychology (Quantitative Methods); Vanderbilt University, 2019

My research is primarily focused on addressing methodological complexities and developing statistical methods for multilevel/hierarchical data contexts (e.g., patients nested within clinicians, students nested within schools, or repeated measures nested within individuals).

Specifically, I am currently pursuing 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.

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.

Fales, J.L., Murphy, L.K., Rights, J.D., & Palermo, T.M. (in press). Daily peer victimization experiences of adolescents with and without chronic pain: Associations with mood, sleep, pain, and activity limitations. Journal of Pain.

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. 45, 495-503.

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, 43, 1114-1127.

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, 30, 1065-1081.

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.

Jason Rights

Assistant Professor

B.S., Psychology and Mathematics; University of North Carolina at Chapel Hill, 2011
M.S., Psychology (Quantitative Methods); Vanderbilt University, 2015
Ph.D., Psychology (Quantitative Methods); Vanderbilt University, 2019

My research is primarily focused on addressing methodological complexities and developing statistical methods for multilevel/hierarchical data contexts (e.g., patients nested within clinicians, students nested within schools, or repeated measures nested within individuals).

Specifically, I am currently pursuing 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.

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.

Fales, J.L., Murphy, L.K., Rights, J.D., & Palermo, T.M. (in press). Daily peer victimization experiences of adolescents with and without chronic pain: Associations with mood, sleep, pain, and activity limitations. Journal of Pain.

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. 45, 495-503.

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, 43, 1114-1127.

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, 30, 1065-1081.

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.