{"id":7,"date":"2017-04-29T23:34:03","date_gmt":"2017-04-29T23:34:03","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/sonyasterba\/current-courses\/"},"modified":"2026-03-05T20:53:43","modified_gmt":"2026-03-06T01:53:43","slug":"publications","status":"publish","type":"page","link":"https:\/\/my.vanderbilt.edu\/sonyasterba\/publications\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"<div id=\"refs\">\n<p>Sterba, S.K. &amp; Liang, A. (Accepted). Parceling to lower indicator-to-sample-size ratio? Instead try correcting your SEM chi-square for high-p and modest-N to obtain nominal Type I error without parcel-allocation variability. <i>Structural Equation Modeling<\/i>.<\/p>\n<p>Liang, A. &amp; Sterba, S.K. (2025). <a href=\"https:\/\/psycnet.apa.org\/buy\/2025-54484-001\">Power analysis to detect misfit in SEMs with many items: Resolving unrecognized problems, relating old and new approaches, and &#8220;matching&#8221; power analysis approach to data analysis approach<\/a>. <i>Psychological Methods<\/i>.<\/p>\n<p>Liang, A., Preacher, K.K., Williams, N.J., Allison, P.D., Marcus, S.C. &amp; Sterba, S.K. (2025). <a href=\"https:\/\/quantpsy.org\/pubs\/liang_preacher_williams_allison_marcus_sterba_(in.press).pdf\">Determining the power of a 1-sided z-test given only the power of the corresponding 2-sided test<\/a>. <i>Journal of Behavioral Medicine<\/i>.<\/p>\n<p>Fuchs, L.S., Seethaler, P.M., Sterba, S.K. et al. (2024). <a href=\"https:\/\/psycnet.apa.org\/record\/2025-20198-001\">Transfer between reading comprehension and word-problem solving among children with learning difficulty in both domains<\/a>. <i>Journal of Educational Psychology<\/i>, <i>116<\/i>, 1093\u20131111.<\/p>\n<p>Rights, J.D., &amp; Sterba, S. K. (2023). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2026\/03\/rights_sterba_2023b.pdf\">On the common but problematic specification of conflated random slopes in multilevel models<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>58<\/i>, 1106-1133.<\/p>\n<p>Shaw, M., Rights, J.D., Sterba, S.K. &amp; Flake, J.K. (2023). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2026\/01\/shaw_rights_sterba_flake_2023.pdf\">r2mlm: An R package calculating R-squared measures for multilevel models<\/a>. <i>Behavior Research Methods<\/i>, <i>55<\/i>, 1942-1964. [Associated software tools available].<\/p>\n<p>Rights, J.D., &amp; Sterba, S.K. (2023) <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2026\/01\/rights_sterba_2023.pdf\">R-squared measures for multilevel models with three or more levels<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>58<\/i>, 340-367. <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2022\/08\/OnlineAppendix_RightsSterba_in.press_.MBR_.pdf\">Associated software tools and online appendix available<\/a>.<\/p>\n<p>Sterba, S.K.,<sup>\u01c2<\/sup> &amp; Rights, J.D.<sup>\u01c2<\/sup> (2022). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2022\/08\/Sterba.Rights.2022.pdf\">R-squared measures for multilevel mixture models with random effects<\/a>. <i>Structural Equation Modeling<\/i>, <i>29<\/i>, 489-506. <sup>\u01c2<\/sup>Authors contributed equally. <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2022\/08\/Online.Supplement_Sterba.Rights_7.27.21__.pdf\">Associated software tools and online appendix available<\/a>.<\/p>\n<p>Rights, J.D., &amp; Sterba, S.K. (2021). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2022\/08\/Rights.Sterba.2021.pdf\">Effect size measures for longitudinal growth analyses: Extending a framework of multilevel model R-squareds to accommodate heteroscedasticity, autocorrelation, nonlinearity, and alternative centering strategies<\/a>. <i>New Directions for Child and Adolescent Development<\/i> (Special Issue on Developmental Methods), <i>175<\/i>, 65-110. <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2021\/03\/Online.Appendix_Rights.Sterba_2021.pdf\">Associated software tools and online appendix available<\/a>.<\/p>\n<p>Rights, J.D., &amp; Sterba, S.K. (2020). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2021\/03\/RightsSterbaMBR_2020.pdf\">New recommendations on the use of R-squared differences in multilevel model comparisons<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>55<\/i>, 568-599. <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2021\/03\/OnlineAppendix_Rights.Sterba_MBR.ID_.18-106_final_8.19.19.pdf\">Associated software tools and online appendix available<\/a>. <a href=\"https:\/\/cran.r-project.org\/web\/packages\/r2mlm\/index.html\">R package available<\/a>.<\/p>\n<p>Sterba, S.K. (2019). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2019\/09\/sterba_2019.pdf\">Problems with rationales for parceling that fail to consider parcel-allocation variability<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>54<\/i>, 264-287.<\/p>\n<p>Rights, J.D., &amp; Sterba, S.K. (2019). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2019\/09\/rights_sterba_2019.pdf\">Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures<\/a>. <i>Psychological Methods<\/i>, <i>24<\/i>, 309-338. <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2018\/08\/Online.Appendix_Rights.Sterba_in.press_.b.pdf\">Online appendix and code available<\/a>. <a href=\"https:\/\/cran.r-project.org\/web\/packages\/r2mlm\/index.html\">R package available<\/a>.<\/p>\n<p>Preacher, K.J., &amp; Sterba, S.K. (2019). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2019\/09\/preacher_sterba_2019.pdf\">Aptitude-by-treatment interactions in research on educational interventions<\/a>. <i>Exceptional Children<\/i>, <i>85<\/i>, 248-254.<\/p>\n<p>Rights, J.D., &amp; Sterba, S.K. (2018). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2019\/09\/rights_sterba_2018.pdf\">A framework of R-squared measures for single-level and multilevel regression mixture models<\/a>. <i>Psychological Methods<\/i>, <i>23<\/i>, 434-457.<br \/>\n<a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2018\/08\/Online.Appendix_Rights.Sterba_in.press_.a.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K. (2017). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2017_Psychotherapy.Research.pdf\">Partially nested designs in psychotherapy trials: A review of modeling developments<\/a>. <i>Psychotherapy Research<\/i>, <i>27<\/i>, 425-436.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba_Online-Appendix_PR.pdf\">Online appendix<\/a> and <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/OnlineSupplement.zip\">Online supplement<\/a> available.<\/p>\n<p>Sterba, S.K., &amp; Rights, J.D. (2017). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Rights_2017.pdf\">Effects of parceling on model selection: Parcel-allocation variability in model ranking<\/a>. <i>Psychological Methods<\/i>, <i>22<\/i>, 47-68.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Supplemental_Online.Appendix_MET_Sterba.Rights_2015-0293R2_supp.pdf\">Online appendix available<\/a>. <a href=\"https:\/\/www.rdocumentation.org\/packages\/semTools\/versions\/0.4-12\/topics\/PAVranking\">Associated software tools available here<\/a>.<\/p>\n<p>Sterba, S.K. (2017). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2017_SEM.pdf\">Pattern mixture models for quantifying missing data uncertainty in longitudinal invariance testing<\/a>. <i>Structural Equation Modeling<\/i>, <i>24<\/i>, 283-300.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba_2017_SEM.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K., &amp; Rights, J.D. (2016). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Rights_2016b.pdf\">Accounting for parcel-allocation variability in practice: Combining sources of uncertainty and choosing the number of allocations<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>51<\/i>, 296-313.<br \/><a href=\"https:\/\/www.rdocumentation.org\/packages\/semTools\/versions\/0.4-12\/topics\/poolMAlloc\">Associated software tools available here<\/a>.<\/p>\n<p>Rights, J.D., &amp; Sterba, S.K. (2016). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Rights.Sterba.2016_BJMSP.pdf\">The relationship between multilevel models and nonparametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity<\/a>. <i>British Journal of Mathematical and Statistical Psychology<\/i>, <i>69<\/i>, 316-343.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online-Appendix_Rights.Sterba_2016_BJMSP.pdf\">Online appendix and code available here<\/a>.<\/p>\n<p>Sterba, S.K. (2016). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2016b.pdf\">A latent transition analysis model for latent-state-dependent nonignorable missingness<\/a>. <i>Psychometrika<\/i>, <i>81<\/i>, 506-534.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba_2016_ARCS.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K. (2016). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2016.JCCAP_.pdf\">Cautions on the use of multiple imputation when selecting between latent categorical versus continuous models for psychological constructs<\/a>. <i>Journal of Clinical Child &amp; Adolescent Psychology<\/i>, <i>45<\/i>, 167-175.<\/p>\n<p>Sterba, S.K. (2016). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2016.pdf\">Interpreting and testing interactions in conditional mixture models<\/a>. <i>Applied Developmental Science<\/i>, <i>20<\/i>, 29-43.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba_2016_ADS.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K., &amp; Gottfredson, N.C. (2015). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Gottfredson_2015.pdf\">Diagnosing global case influence on MAR versus MNAR model comparisons<\/a>. <i>Structural Equation Modeling<\/i>, <i>22<\/i>, 294-307.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2021\/03\/Online.Appendix_Sterba.Gottfredson.2015_R.pdf\">Online appendix available<\/a>.<\/p>\n<p>Lachowicz, M.J., Sterba, S.K., &amp; Preacher, K.J. (2015). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Lachowicz.Sterba.Preacher_2015.pdf\">Investigating multilevel mediation with fully or partially nested data<\/a>. <i>Group Processes &amp; Intergroup Relations<\/i>, <i>18<\/i>, 274-289.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Lachowicz.Sterba.Preacher_2015.files_.zip\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K. (2014). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2014b_.pdf\">Handling missing covariates in conditional mixture models under missing at random assumptions<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>49<\/i>, 614-632.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.2014b_.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K., Preacher, K.J., Forehand, R., Hardcastle, E.J., Cole, D.A., &amp; Compas, B.E. (2014). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Preacher.Forehand.Hardcastle.Cole_.Compas.2014.pdf\">Structural equation modeling approaches for analyzing partially nested data<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>49<\/i>, 93-118.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appdx_PartialNest_Sterba.et_.al_.2014_Web.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K. (2014). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2014_.pdf\">Fitting nonlinear latent growth curve models with individually varying time points<\/a>. <i>Structural Equation Modeling<\/i>, <i>21<\/i>, 630-647.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba_SEM.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K., &amp; Bauer, D.J. (2014). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Bauer_2014.pdf\">Predictions of individual change recovered with latent class or random coefficient growth models<\/a>. <i>Structural Equation Modeling<\/i>, <i>21<\/i>, 342-360.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Bauer_.2014_SEM_Online.Appendix.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K. (2013). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2013.pdf\">Understanding linkages among mixture models<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>48<\/i>, 775-815.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.2013.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K., &amp; Pek, J. (2012). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Pek_2012.pdf\">Individual influence on model selection<\/a>. <i>Psychological Methods<\/i>, <i>17<\/i>, 582-599.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.Pek_2012.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Sterba, S.K., Baldasaro, R.E., &amp; Bauer, D.J. (2012). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Baldasaro.Bauer_2012.pdf\">Factors affecting the adequacy and preferability of semiparametric groups-based approximations of continuous growth trajectories<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>40<\/i>, 590-634.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.Baldasaro.Bauer_.2012.pdf\">Online appendix available<\/a>.<\/p>\n<p>Bauer, D.J. &amp; Sterba, S.K. (2011). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Bauer.Sterba.2011.pdf\">Fitting multilevel models with ordinal outcomes: Performance of alternative specifications and methods of estimation<\/a>. <i>Psychological Methods<\/i>, <i>16<\/i>, 373-390.<br \/><a href=\"http:\/\/supp.apa.org\/psycarticles\/supplemental\/a0025813\/MET_Bauer_2009-0102_supp.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K. (2011). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.2011.pdf\">Implications of parcel-allocation variability for comparing fit of item-solutions and parcel-solutions<\/a>. <i>Structural Equation Modeling<\/i>, <i>18<\/i>, 554-577.<\/p>\n<p>Sterba, S.K., &amp; Bauer, D.J. (2010). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Bauer_2010b.pdf\">Statistically evaluating person-oriented principles revisited: Reply to Molenaar (2010), von Eye (2010), Ialongo (2010) and Mun, Bates and Vaschillo (2010)<\/a>. <i>Development &amp; Psychopathology<\/i>, <i>22<\/i>, 287-294.<\/p>\n<p>Sterba, S.K., &amp; Bauer, D.J. (2010). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Bauer_2010a.pdf\">Matching method with theory in person-oriented developmental psychopathology research<\/a>. <i>Development &amp; Psychopathology<\/i>, <i>22<\/i>, 239-254.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.Bauer_.2010.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K., &amp; MacCallum, R.C. (2010). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.MacCallum_2010.pdf\">Variability in parameter estimates and model fit across repeated allocations of items to parcels<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>45<\/i>, 322-358.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.MacCallum.2010.pdf\">Online appendix available<\/a>. <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/05\/parcel.alloc_.zip\">Associated software tools available<\/a>.<\/p>\n<p>Sterba, S.K., Copeland, W., Egger, H., Costello, J., Erkanli, A. &amp; Angold, A. (2010). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Copeland.Egger_.Costello.Erkanli.Angold_2010.pdf\">Longitudinal dimensionality of adolescent psychopathology: Testing the differentiation hypothesis<\/a>. <i>Journal of Child Psychology and Psychiatry<\/i>, <i>51<\/i>, 871-884.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.et_.al_2010.pdf\">Online appendix available<\/a>.<\/p>\n<p>Sterba, S.K. (2009). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba_2009.pdf\">Alternative model-based and design-based frameworks for inference from samples to populations: From polarization to integration<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>44<\/i>, 711-740.<br \/><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Online.Appendix_Sterba.2009.pdf\">Online appendix and code available<\/a>.<\/p>\n<p>Pek, J., Sterba, S.K., Kok, B., &amp; Bauer, D.J. (2009). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Pek.Sterba.Kok_.Bauer_2009.pdf\">Estimating and visualizing nonlinear relations among latent variables: A semi-parametric approach<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>44<\/i>, 407-436.<br \/><a href=\"http:\/\/www.unc.edu\/psychology\/dbauer\/plotSEMM.htm\">Associated software tools available<\/a>.<\/p>\n<p>Bauer, D.J., Sterba, S.K., &amp; Hallfors, D. (2008). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Bauer.Sterba.Hallfors_2008.pdf\">Evaluating group-based interventions when control participants are ungrouped<\/a>. <i>Multivariate Behavioral Research<\/i>, <i>43<\/i>, 210-246.<br \/><a href=\"http:\/\/dbauer.web.unc.edu\/wp-content\/uploads\/sites\/7494\/2014\/08\/BauerSterba_appendix_SAS.pdf\">Online appendix and code available in SAS<\/a> (and <a href=\"http:\/\/dbauer.web.unc.edu\/wp-content\/uploads\/sites\/7494\/2014\/08\/BauerSterba_appendix_SPSS.pdf\">in SPSS<\/a>).<\/p>\n<p>Sterba, S.K., Egger, H.L., &amp; Angold, A. (2007). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Egger_.Angold_2007.pdf\">Diagnostic specificity and non-specificity in the dimensions of preschool psychopathology<\/a>. <i>Journal of Child Psychology and Psychiatry<\/i>, <i>48<\/i>, 1005-1013.<\/p>\n<p>Sterba, S.K., Prinstein, M.J., &amp; Cox, M.J. (2007). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba.Prinstein.Cox_2007.pdf\">Trajectories of internalizing problems across childhood: Heterogeneity, external validity, and gender differences<\/a>. <i>Development &amp; Psychopathology<\/i>, <i>19<\/i>, 345-366.<\/p>\n<p>Sterba, S.K. (2006). <a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/2472\/2017\/04\/Sterba_2006.pdf\">Misconduct in the analysis and reporting of data: Bridging methodological and ethical agendas for change<\/a>. <i>Ethics &amp; Behavior<\/i>, <i>16<\/i>, 305-318.<\/p>\n<\/div>\n<hr \/>\n<p>&copy; 2010-2026, Sonya K. Sterba<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sterba, S.K. &amp; Liang, A. (Accepted). Parceling to lower indicator-to-sample-size ratio? Instead try correcting your SEM chi-square for high-p and modest-N to obtain nominal Type I error without parcel-allocation variability. Structural Equation Modeling. Liang, A. &amp; Sterba, S.K. (2025). Power &hellip; <a href=\"https:\/\/my.vanderbilt.edu\/sonyasterba\/publications\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":6720,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages\/7","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/users\/6720"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/comments?post=7"}],"version-history":[{"count":66,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages\/7\/revisions"}],"predecessor-version":[{"id":349,"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/pages\/7\/revisions\/349"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/sonyasterba\/wp-json\/wp\/v2\/media?parent=7"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}