| Advantages of Monte Carlo confidence intervals for indirect effects KJ Preacher, JP Selig Communication Methods and Measures 6 (2), 77-98, 2012 | 1294 | 2012 |
| Monte Carlo method for assessing mediation: An interactive tool for creating confidence intervals for indirect effects [Computer software] JP Selig, KJ Preacher | 945 | 2008 |
| Mediation models for longitudinal data in developmental research JP Selig, KJ Preacher Research in human development 6 (2-3), 144-164, 2009 | 753 | 2009 |
| Autoregressive and cross-lagged panel analysis for longitudinal data JP Selig, TD Little Handbook of developmental research methods, 265-278, 2012 | 690 | 2012 |
| New developments in latent variable panel analyses of longitudinal data TD Little, KJ Preacher, JP Selig, NA Card International journal of behavioral development 31 (4), 357-365, 2007 | 657 | 2007 |
| A meta-analysis of the efficacy of teaching mathematics with concrete manipulatives. KJ Carbonneau, SC Marley, JP Selig Journal of Educational Psychology 105 (2), 380, 2013 | 550 | 2013 |
| Monte Carlo method for assessing mediation: An interactive tool for creating confidence intervals for indirect effects JP Selig, KJ Preacher Computer software]. Retrieved from http://quantpsy. org, 2008 | 426 | 2008 |
| Effects of the Student Success Skills program on executive functioning skills, feelings of connectedness, and academic achievement in a predominantly Hispanic, low‐income … ME Lemberger, JP Selig, H Bowers, JE Rogers Journal of Counseling & Development 93 (1), 25-37, 2015 | 124 | 2015 |
| Monte Carlo method for assessing multilevel mediation: An interactive tool for creating confidence intervals for indirect effects in 1-1-1 multilevel models [Computer software] KJ Preacher, JP Selig | 119 | 2010 |
| Latent variable structural equation modeling in cross-cultural research: Multigroup and multilevel approaches JP Selig, NA Card, TD Little Multilevel analysis of individuals and cultures, 93-119, 2015 | 116 | 2015 |
| COVID‐19 vaccine hesitancy: Race/ethnicity, trust, and fear DE Willis, JA Andersen, K Bryant‐Moore, JP Selig, CR Long, HC Felix, ... Clinical and translational science 14 (6), 2200-2207, 2021 | 94 | 2021 |
| Modeling time-dependent association in longitudinal data: A lag as moderator approach JP Selig, KJ Preacher, TD Little Multivariate Behavioral Research 47 (5), 697-716, 2012 | 87 | 2012 |
| Confirmatory factor analysis of a family quality of life scale for families of kindergarten children without disabilities NI Zuna, JP Selig, JA Summers, AP Turnbull Journal of Early Intervention 31 (2), 111-125, 2009 | 84 | 2009 |
| Modeling dyadic and interdependent data in the developmental and behavioral sciences NA Card, JP Selig, T Little Routledge, 2011 | 77* | 2011 |
| A typological approach to the study of parenting: Associations between maternal parenting patterns and child behaviour and social reception KA McNamara, JP Selig, PH Hawley Early Child Development and Care 180 (9), 1185-1202, 2010 | 69 | 2010 |
| Advantages of Monte Carlo confidence intervals for indirect effects. Communication Methods and Measures, 6 (2), 77-98 KJ Preacher, JP Selig | 68 | 2012 |
| Handbook of developmental research methods JP Selig, TD Little, B Laursen, NA Card New York, NY: Guilford.[Google Scholar], 2012 | 67 | 2012 |
| Evaluating special educator effectiveness: Addressing issues inherent to value-added modeling TD Steinbrecher, JP Selig, J Cosbey, BI Thorstensen Exceptional Children 80 (3), 323-336, 2014 | 50 | 2014 |
| Longitudinal data analysis W Wu, JP Selig, TD Little Oxford handbook of quantitative methods 2, 387-410, 2013 | 48 | 2013 |
| Package ‘semTools’ TD Jorgensen, S Pornprasertmanit, AM Schoemann, Y Rosseel, P Miller, ... | 47* | 2016 |
Kristopher J. PreacherProfessor, Quantitative Methods, Vanderbilt UniversityVerified email at vanderbilt.edu
