Publications

Books

1. Grimm, K. J., Ram, N., & Estabrook, R. (2017). Growth modeling: Structural equation and multilevel modeling approaches. New York, NY: Guilford.

2. Ferrer, E., Boker, S. M., & Grimm, K. J. (2019). Longitudinal multivariate psychology. New York, NY: Routledge.

3. Jacobucci, R., Grimm, K. J., & Zhang, Z. (2023). Machine learning for social and behavioral research. New York, NY: Guilford.

4. Grimm, K. J. (under contract). Structural equation modeling for categorical data with applications in Mplus and lavaan. New York, NY: Guilford.

5. Grimm, K. J. (under contract). Structural equation modeling: Mathematical foundations and applications in Mplus and lavaan. New York, NY: Guilford.

6. Grimm, K. J., Prescott, C. A., & McArdle, J. J. (under contract). Longitudinal data analysis using structural equation models. Washington, DC: American Psychological Association.

Articles

1. Cox, D. J., Kovatchev, B. P., Gonder-Frederick, L. A., Summers, K., McCall, A., Grimm, K. J., & Clarke, W. L. (2005). Relationships between hyperglycemia and cognitive performance among adults with type 1 and type 2 diabetes. Diabetes Care, 28, 71-77.

2. Bowles, R. P., Grimm, K. J., & McArdle, J. J. (2005). A structural factor analysis of vocabulary knowledge and relations to age. Gerontology: Psychological Sciences, 60B, P234-P241.

3. Justice, L. M., Kaderavek, J., Bowles, R. P., & Grimm, K. J. (2005). Language impairment, parent-child shared reading, and phonological awareness: A feasibility study. Topics in Early Childhood Special Education, 25, 143-156.

4. Ram, N., Chow, S. M., Bowles, R. P., Wang, L., Grimm, K. J., Fujita, F., & Nesselroade, J. R. (2005). Examining interindividual differences in cyclicity of pleasant and unpleasant affect using spectral analysis and item response modeling. Psychometrika, 70, 773-790.

5. King, D., King, L., McArdle, J. J., Grimm, K. J., Jones, R. T., & Ollendick, T.H. (2006). Characterizing time in longitudinal trauma research. Journal of Traumatic Stress, 19, 205-215.

6. Dohrmann, K. R., Nishida, T. K., Gartner, A., Lipsky, D.K., & Grimm, K. J. (2007). High school outcomes for students previously in a public Montessori program. Journal of Research in Childhood Education, 22, 205-217.

7. Grimm, K. J. (2007). Multivariate longitudinal methods for studying developmental relationships between depression and academic achievement. International Journal of Behavioral Development, 31, 328-339.

8. Ram, N., & Grimm, K. J. (2007). Using simple and complex growth models to articulate developmental change: Matching method to theory. International Journal of Behavioral Development, 31, 303-316.

9. Zhang, Z., Hamagami, F., Wang, L., Grimm, K. J., & Nesselroade, J. R. (2007). Bayesian analysis of longitudinal data using growth curve models. International Journal of Behavioral Development, 31, 374-383.

10. Brock, L. L., Nishida, T. K., Chiong, C., & Grimm, K. J., Rimm-Kaufman, S. E. (2008). Children’s perceptions of the classroom environment and social and academic performance: A longitudinal analysis of the contribution of the responsive classroom approach. Journal of School Psychology, 46, 129-149.

11. Grimm, K. J. (2008). Longitudinal associations between reading and mathematics. Developmental Neuropsychology, 33, 410-426.

12. Skibbe, L. E., Grimm, K. J., Stanton-Chapman, T., Justice, L. M., Pence, K. L., & Bowles, R. P. (2008). Reading trajectories of children with language impairment from preschool to fifth grade. Language, Speech, and Hearing Services in Schools, 39, 475-486.

13. Grimm, K. J., Pianta, R. C., & Konold, T. R. (2009). Longitudinal multitrait-multimethod models for developmental research. Multivariate Behavioral Research, 44, 233-258.

14. Cameron Ponitz, C., Rimm-Kaufman, S. E., Grimm, K. J., & Curby, T. W. (2009). Kindergarten classroom quality, behavioral engagement, and reading achievement. School Psychology Review, 38, 102-120.

15. McArdle, J. J., Grimm, K. J., Hamagami, F., Bowles, R. P., & Meredith, W. (2009). Modeling lifespan growth curves of cognition using longitudinal data with multiple samples and changing scales of measurement. Psychological Methods, 14, 126-149.

16. Grimm, K. J., & Ram, N. (2009). Nonlinear growth models in Mplus and SAS. Structural Equation Modeling: A Multidisciplinary Journal, 16, 676-701.

17. Rimm-Kaufman, S. E., Curby, T. W., Grimm, K. J., Brock, L. L., & Nathanson, L. (2009). The contribution of children’s self-regulation and classroom quality to children’s adaptive behaviors in the kindergarten classroom. Developmental Psychology, 45, 958-972.

18. Grimm, K. J., & Ram, N. (2009). A second-order growth mixture model for developmental research. Research in Human Development, 2-3, 121-143.

19.  Brock, L. L., Rimm-Kaufman, S. E., Nathanson, L., & Grimm, K. J. (2009). The contribution of ‘hot’ and ‘cool’ executive function to children’s academic achievement and classroom behavior. Early Childhood Research Quarterly, 24, 337-349.

20. Ram, N., & Grimm, K. J. (2009). Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups. International Journal of Behavioral Development, 33, 565-576.

21. Curby, T. W., Grimm, K. J., & Pianta, R. C. (2010). Stability and change in early childhood classroom interactions during the first two hours of a day. Early Childhood Research Quarterly, 25, 373-384.

22. Barrett, F. S., Grimm, K. J., Robins, R., Wildschut, T., Sedikides, C., & Janata, P. (2010). Music-Evoked nostalgia: Affect, memory, and personality. Emotion, 10, 390-403.

23. Grimm, K. J., & Widaman, K. F. (2010). Residual structures in latent growth curve analysis. Structural Equation Modeling: A Multidisciplinary Journal, 17, 424-442.

24. Grimm, K. J., *Steele, J. S., Mashburn, A. J., Burchinal, M., & Pianta, R. C. (2010). Early behavioral associations of achievement trajectories. Developmental Psychology, 46, 976-983.

25. Grissmer, D., Grimm, K. J., Aiyer, S. M., Murrah, W. M., & Steele, J. S. (2010). Fine motor skills and early comprehension of the world: Two new school readiness indicators. Developmental Psychology, 46, 1008-1017.

26. Blandon, A. Y., Calkins, S. D., Grimm, K. J., Keane, S. P., & O’Brien, M. (2010). Testing a developmental cascade model of emotional and social competence and early peer acceptance. Development and Psychopathology, 22, 737-748.

27. Grimm, K. J., Ram, N., & Estabrook, R. (2010). Nonlinear structured growth mixture models in Mplus and OpenMx. Multivariate Behavioral Research, 45, 887-909.

28. Guyer, A. E., Choate, V. R., Grimm, K. J., Pine, D. S., & Keenan, K. (2011). Emerging depression is associated with face memory deficits in adolescent girls. Journal of the American Academy of Child and Adolescent Psychiatry, 50, 180-190.

29. Woods, C. M., & Grimm, K. J. (2011). Testing for nonuniform differential item functioning with multiple indicator multiple cause models. Applied Psychological Measurement, 35, 339-361.

30. Curby, T. W., Stuhlman, M., Grimm, K. J., Mashburn, A. J., Chomat-Mooney, L., Downer, J., Hamre, B. K., & Pianta, R. C. (2011). Within-day variability in the quality of classroom interactions during third and fifth grade: Implications for children's experiences and conducting classroom observations. Elementary School Journal, 112, 16-37.

31. Marceau, K., Ram, N., Houts, R. M., Grimm, K. J., & Susman, E. J. (2011). Individual differences in boys’ and girls’ timing and tempo or puberty: Modeling development with nonlinear growth models. Developmental Psychology, 47, 1389-1409.

32. Grimm, K. J., Ram, N., & Hamagami, F. (2011). Nonlinear growth curves in developmental research. Child Development, 82, 1357-1371.

33. *Song, H., Cai, H., Brown, J. D., & Grimm, K. J. (2011). Detecting and evaluating differential item functioning of the Rosenberg Self-Esteem Scale in the U.S. and China: Measurement bias matters. Asian Journal of Social Psychology, 14, 176-188.

34. Downer, J. T., Lopez, M. L., Grimm, K. J., Hamagami, F., Pianta, R. C., & Howes, C. (2012). Observations of teacher-child interactions in classrooms serving Latinos and dual language learners: Applicability of the Classroom Assessment Scoring System in diverse settings. Early Childhood Research Quarterly, 27, 21-32.

35. Grimm, K. J. (2012). Intercept centering and time coding in latent difference score models. Structural Equation Modeling: A Multidisciplinary Journal, 19, 137-151.

36. Small, B. J., Dixon, R. A., McArdle, J. J., & Grimm, K. J. (2012). Do changes in lifestyle engagement moderate cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study. Neuropsychology, 26, 144-155.

37. Campbell, I. G., Grimm, K. J., de Brie, E., & Feinberg, I. (2012). Sex, puberty, and the timing of sleep EEG measured adolescent brain maturation. Proceedings of the National Academy of Sciences, 109, 5740-5743.

38. Skibbe, L. E., Grimm, K. J., Bowles, R. P., & Morrison, F. J. (2012). Literacy growth in the academic year versus summer from preschool through second grade: Differential effects of schooling across four skills. Scientific Study of Reading, 16, 141-165.

39. Grimm, K. J., An, Y., McArdle, J. J., Zonderman, A. B., & Resnick, S. M. (2012). Recent changes leading to subsequent changes: Extensions of multivariate latent difference score models. Structural Equation Modeling: A Multidisciplinary Journal, 19, 268-292.

40. Feinberg, I., Davis, N. M., de Brie, E., Grimm, K. J., & Campbell, I. G. (2012). The maturational trajectories of NREM and REM sleep durations differ across adolescence on both school-night and extended sleep. American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, 302, R533-R540.

41. Estabrook, R., Grimm, K. J., & Bowles, R. P. (2012). A Monte Carlo Simulation study of the reliability of within-person variability. Psychology & Aging, 27, 560-576.

42. MacNamara, M. M. C., Taylor, J. S., Grimm, K. J., Taylor, L. E., & Gottlieb, A. S. (2012). Using a professional organization, MomDocFamily, to understand the lives of physician-mothers. Medicine & Health, 95, 185-189.

43. Wang, L., & Grimm, K. J. (2012). Investigating reliabilities of intra-individual variability indicators. Multivariate Behavioral Research, 47, 771-802.

44. Grimm, K. J., *Kuhl, A. P., & Zhang, Z. (2013). Measurement models, estimation, and the study of change. Structural Equation Modeling: A Multidisciplinary Journal, 20, 504-517.

45. Widaman, K. F., Grimm, K. J., Early, D. W., Robins, R. W., & Conger, R. D. (2013). Investigating factorial invariance of latent variables across populations when manifest variables are missing completely. Structural Equation Modeling: A Multidisciplinary Journal, 20, 384-408.

46. Grimm, K. J., *Steele, J. S., Ram, N., & Nesselroade, J. R. (2013). Exploratory latent growth models in the structural equation modeling framework. Structural Equation Modeling: A Multidisciplinary Journal, 20, 568-591.

47. *Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (2013). Neglect the structure of multitrait-multimethod data at your peril: Implications for associations with external variables. Structural Equation Modeling: A Multidisciplinary Journal, 20, 181-207.

48. Grimm, K. J., Zhang, Z., Hamagami, F., & Mazzocco, M. M. (2013). Modeling nonlinear change via latent change and latent acceleration frameworks: Examining velocity and acceleration of growth trajectories. Multivariate Behavioral Research, 48, 117-143.

49. Chow, S. M., Grimm, K. J., Filteau, G., Dolan, C. V., & McArdle, J. J. (2013). Regime-switching bivariate dual change score model. Multivariate Behavioral Research, 48, 463-502.

50. Mazzocco, M., & Grimm, K. J. (2013). Growth in rapid automatized naming from K – 8 in children with math or reading disabilities. Journal of Learning Disabilities, 46, 517-533.

51. Grimm, K. J., *Casto-Schilo, L., & *Davoudzadeh, P. (2013). Modeling intraindividual change in nonlinear growth models with latent change scores. GeroPsych, 26, 153-162.

52. Nelson, J. A., O’Brien, M., Grimm, K. J., Leerkes, E. M. (2014). Identifying mother-child interaction styles using a person-centered approach. Social Development, 23, 306-324.

53. *Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (2014). Toward improving the modeling of MTMM data: A response to Geiser, Koch, and Eid (2014). Structural Equation Modeling: A Multidisciplinary Journal, 21, 524-533.

54. Desmarais, S. L., Van Dorn, R. A., Johnson, K., & Grimm, K. J., Douglas, K. S., & Swartz, M. S. (2014). Community violence perpetration and victimization among adults with mental illness. American Journal of Public Health, 104, 2342-2349.

55. Pianta, R. C., Burchinal, M., Jamil, F., Sabol, T., Grimm, K., Hamre, B., Downer, J. Locasale-Crouch, J., & Howes, C. (2014). A cross-lag analysis of longitudinal associations between preschool teachers’ instructional support identification skills and observed behavior. Early Childhood Research Quarterly, 29, 144-154.

56. Keenan, K., Culbert, K., Grimm, K. J., Hipwell, A., & Stepp, S. (2014). Timing and tempo: Exploring the complex association between pubertal development and depression in African American and European American girls. Journal of Abnormal Psychology, 123, 725-736.

57. *Aichele, S., Mulder, M. B., James, S., & Grimm, K. (2014). Attitudinal and behavioral characteristics predict high risk sexual activity in rural Tanzanian youth. PLOS One, 9, e99987.

58. Zhang, Z., Hamagami, F., Grimm, K. J., & McArdle, J. J. (2015). Using R Package RAMpath for tracing SEM path diagrams and conducting complex longitudinal data analysis. Structural Equation Modeling: A Multidisciplinary Journal, 22, 132-147.

59. *Serang, S., Zhang, Z., *Helm, J., *Steele, J. S., & Grimm, K. J. (2015). Evaluation of a Bayesian approach to estimating nonlinear mixed-effects mixture models. Structural Equation Modeling: A Multidisciplinary Journal, 22, 202-215.

60. Cameron, C. E., Grimm, K. J., *Steele, J. S., *Castro-Schilo, L., & Grissmer, D. W. (2015). Nonlinear Gompertz curve models of achievement gaps in mathematics and reading. Journal of Educational Psychology, 107, 789-804.

61. Nestler, S., Grimm, K. J., Schönbrodt, F. D. (2015). The social consequences and mechanisms of personality: How to analyze longitudinal data from individual, dyadic, round-robin, and network designs. European Journal of Personality, 29, 272-295.

62. *Davoudzadeh, P., *McTernan, M. L., & Grimm, K. J. (2015). Early school readiness predictors of grade retention from kindergarten through eighth grade: A multilevel discrete-time survival analysis approach. Early Childhood Research Quarterly, 32, 183-192.

63. Perkeybile, A. M., Delaney-Busch, N., Hartman, S., Grimm, K. J., & Bales, K. L. (2015). Intergenerational transmission of alloparental behavior and oxytocin and vasopressin receptor distribution in the prairie vole. Frontiers in Behavioral Neuroscience, 9, 191.

64. Johnson, K. L., Desmarais, S. L., Van Dorn, R. A., & Grimm, K. J. (2015). A typology of community violence perpetration and victimization among adults with mental illnesses. Journal of Interpersonal Violence, 30, 522-540.

65. Grimm, K. J., & *Marcoulides, K. M. (2016). Individual change and the timing and onset of important life events: Methods, models, and assumptions. International Journal of Behavioral Development, 40, 87-96.

66. Graf-Estes, K., Chen-Wu Gluck, S., & Grimm, K. J. (2016). Finding patterns and learning words: Infant phonotactic knowledge is associated with vocabulary size. Journal of Experimental Child Psychology, 146, 34-49.

67. *Liu, H., Zhang, Z., & Grimm, K. J. (2016). Comparison of Inverse-Wishart and separation-strategy priors for Bayesian estimation of covariance parameter matrix in growth curve analysis. Structural Equation Modeling: A Multidisciplinary Journal, 23, 354-367.

68. Grimm, K. J., & *Liu, Y. (2016). Residual structures in growth models with ordinal outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 23, 466-475.

69. Johnson, K. L., Desmarais, S. L., Grimm, K. J., Tueller, S. J., Swartz, M. S., & Van Dorn, R. A. (2016). Proximal risk factors for short-term community violence among adults with mental illness. Psychiatric Services, 67, 771-778. (Editor’s Choice in 2019)

70. *Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2016). Regularized structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 23, 555-566.

71. Beal, S. J., Grimm, K. J., Dorn, L., & Susman, E. J. (2016). Trajectories of morningness/eveningness and physical activity in adolescent girls: Menarche as a transition point. Child Development, 87, 1106-1114.

72. Grimm, K. J., *Mazza, G. L., & Mazzocco, M. M. M. (2016). Advances in methods for assessing longitudinal change. Educational Psychologist, 51, 342-353.

73. *Serang, S., Grimm, K. J., & McArdle, J. J. (2016). Estimation of time-unstructured nonlinear mixed-effects mixture models. Structural Equation Modeling: A Multidisciplinary Journal, 23, 856-869.

74. Jones, K. P., King, E. B., Gilrane, V. L., McCausland, T. C., Cortina, J. M., & Grimm, K. J. (2016). The baby bump: Managing a dynamic stigma over time. Journal of Management, 42, 1530-1556.

75. Castro-Schilo, L., Grimm, K. J., & Widaman, K. (2016). Augmenting the correlated trait-correlated method model for multitrait-multimethod data. Structural Equation Modeling: A Multidisciplinary Journal, 23, 798-818.

76. Van Dorn, R. A., Desmarais, S. L., Grimm, K. J., Tueller, S. J., Johnson, K. L., Sellers, B. G., & Swartz, M. S. (2016). The latent structure of psychiatric symptoms across mental disorders as measured with the PANSS and BPRS-18. Psychiatric Research, 245, 83-90.

77. Johnson, K. L., Desmarais, S. L., Tueller, S. J., Grimm, K. J., Swartz, M. S., & Van Dorn, R. A. (2016). A longitudinal analysis of the overlap between violence and victimization among adults with mental illnesses. Psychiatry Research, 246, 203-210.

78. Infurna, F. J., Okun, M. A., & Grimm, K. J. (2016). Volunteering is associated with decreased risk for cognitive impairment. Journal of the American Geriatrics Society, 64, 2263-2269.

79. *Blums, A., Belsky, J., Grimm, K., & Chen, Z. (2017). Building links between early socioeconomic status, cognitive ability, and math and science achievement. Journal of Cognition and Development, 18, 16-40.

80. Grimm, K. J., *Jacobucci, R., & McArdle, J. J. (2017). Big data methods and psychological science. Psychological Science Agenda, 31, No 1.

81. Lubke, G., & Grimm, K. J. (2017). Introduction to novel approaches in mixture modeling. Structural Equation Modeling: A Multidisciplinary Journal, 24, 157-158.

82. Grimm, K. J., *Mazza, G., & *Davoudzadeh, P. (2017). Model selection in finite mixture models: A k-fold cross-validation approach. Structural Equation Modeling: A Multidisciplinary Journal, 24, 246-256.

83. *Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2017). A comparison of methods for uncovering sample heterogeneity: Structural equation model trees and finite mixture models. Structural Equation Modeling: A Multidisciplinary Journal, 24, 270-282.

84. Grimm, K. J., *Davoudzadeh, P., & Ram, N. (2017). Developments in the analysis of longitudinal data. In N. Card (Ed.), Developmental methodology (pp. 46-66). Monographs of the Society for Research in Child Development, 82, 46-66.

85. Van Dorn, R. A., Grimm, K. J., Desmarais, S. L., Tueller, S. J., Johnson, K. L., & Swartz, M. S. (2017). Leading indicators of community-based violent events among adults with mental illness. Psychological Medicine, 47, 1179-1191.

86. Campbell, I. G., Burright, C. S., Kraus, A. M., Grimm, K. J., & Feinberg, I. (2017). Daytime sleepiness increases with age in early adolescence: a sleep restriction dose-response study. Sleep, 40, zsx046.

87. *Serang, S., *Jacobucci, R., *Brimhall, K. C., & Grimm, K. J. (2017). Exploratory mediation analysis via regularization. Structural Equation Modeling: A Multidisciplinary Journal, 24, 733-744.

88. *Liu, Y., Millsap, R. E., West, S. G., Tein, J-Y., Tanaka, R., & Grimm, K. J. (2017). Testing measurement invariance in longitudinal data with ordered-categorical measures. Psychological Methods, 22, 486-506.

89. *Marcoulides, K. M., & Grimm, K. J. (2017). Data integration approaches to longitudinal growth modeling. Educational & Psychological Measurement, 77, 971-989.

90. Tueller, S. J., Johnson, K. L., Grimm, K. J., Desmarais, S. L., Sellers, B. G., & Van Dorn, R. A. (2017). Effects of sample size and distributional assumptions on competing models of the factor structure of the PANSS and BPRS. International Journal of Methods in Psychiatric Research, 26, e1549.

91. Kubinski, J. S., Chopik, W. J., & Grimm, K. J. (2017). Change across the lifespan in a psychological measure of life history strategy. Evolution and Human Behavior, 38, 434-441.

92. Fandakova, Y., Selmeczy, D., Leckey, S., Grimm, K. J., Wendelken, C., Bunge, S. A., Ghetti, S. (2017). Changes in ventromedial prefrontal and insular cortex support the development of metamemory from childhood into adolescence. Proceedings of the National Academy of Sciences, 114, 7582-7587.

93. Infurna, F. J., & Grimm, K. J. (2018). The use of growth mixture modeling for studying resilience to major life stressors in adulthood and old age: Lessons for class size and identification and model selection. Journal of Gerontology: Psychological Sciences, 73, 148-159.

94. *Stegmann, G., & Grimm, K. J. (2018). A new perspective on the effects of covariates in mixture models. Structural Equation Modeling: A Multidisciplinary Journal, 25, 167-178.

95. Castro-Schilo, L., & Grimm, K. J. (2018). Using residualized change versus difference score for longitudinal research. Journal of Social and Personal Relationships, 35, 32-58.

96. *Gonzalez, O., *Wurpts, I. C., *O’Rourke, H., & Grimm, K. J. (2018). Evaluating Monte Carlo simulations through data mining methods. Structural Equation Modeling: A Multidisciplinary Journal, 25, 403-413.

97. Hernández, M. M., Eisenberg, N., Valiente, C., Thompson, M. S., Spinrad, T. L., Grimm, K. J., Van Schyndel, S. K., Berger, R. H., Silva, K. M., Pina, A. A., Southworth, J., & Gal, D. (2018). Trajectories of the expression of negative emotion from kindergarten to first grade: Associations with academic outcomes. Journal of Educational Psychology, 110, 324-337.

98. *Jacobucci, R., & Grimm, K. J. (2018). Comparison of frequentist and Bayesian regularization in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 25, 639-649.

99. *Taylor, B. K., Gavin, W. J., Grimm, K. J., Passantino, D. E., & Davies, P. L. (2018). Modeling the interrelationships between brain activity and trait attention measures to predict individual differences in reaction times in children during a Go/No-Go task. Neuropsychologia, 109, 22-231.

100. Smith, J. D., Berkel, C., Jordan, N., Atkins, D. C., Narayanan, S. S., Gallo, C., Grimm, K. J., Dishion, T. J., Mauricio, A. M., Rudo-Stern, J., Meachum, M. K., Winslow, E., & Bruening, M. M. (2018). An individually tailored family-centered intervention for pediatric obesity in primary care: study protocol of a randomized type II hybrid effectiveness–implementation trial (Raising Healthy Children study). Implementation Science, 13, 11.

101. Till Hoyt, L., Deardorff, J., Marceau, K., Laurent, C. A., Windham, G. C., Greenspan, L. C., Pinney, S. M., Teitelbaum, S., Grimm, K. J., Hagan, M. J., Biro, F. M., Wolff, M. S., Kushi, L. H., Hiatt, R. A. (2018). Girls' sleep trajectories across the pubertal transition: Emerging racial/ethnic differences. Journal of Adolescent Heath, 62, 496-503.

102. Grimm, K. J., & Ram, N. (2018). Latent growth and dynamic structural equation models. Annual Review of Clinical Psychology, 14, 55-89.

103. *Stegmann, G., *Jacobucci, R., *Serang, S., & Grimm, K. J. (2018). Recursive partitioning with nonlinear models of change. Multivariate Behavioral Research, 53, 559-570.

104. Simons, J. S., Simons, R. M., Keith, J. A., Grimm, K. J., Stoltenberg, S. F., O’Brien, C., & Andal, K. (2018). PTSD symptoms and alcohol-related problems among veterans: Temporal associations and vulnerability. Abnormal Psychology, 127(8), 733-750.

105. *Chahal, R., Vilgis, V., Grimm, K. J., Hipwell, A. E., Forbes, E. E., Keenan, K., & Guyer, A. E. (2018). Girls' pubertal development is associated with white matter microstructure in late adolescence. NeuroImage, 181, 659-669.

106. Laposa, J. M., Hawley, L. L., Grimm, K. J., Katz, D., & Rector, N. A. (2019). What drives OCD symptom change during CBT treatment? Temporal relationships among obsessions and compulsions. Behavior Therapy, 50, 87-100.

107. Grimm, K. J., & *Stegmann, G. (2019). Modeling change trajectories with count and zero-inflated outcomes. Challenges and recommendations. Addictive Behaviors, 94, 4-19.

108. Selmecvzy, D., Fandakova, Y., Grimm, K. J., Bunge, S., & Ghetti, S. (2019). Longitudinal trajectories of hippocampal and prefrontal contributions to episodic retrieval: Effects of age and puberty. Developmental Cognitive Neuroscience, 36, 100599.

109. Suk, H., West, S. G., *Fine, K., & Grimm, K. J. (2019). Nonlinear growth curve modeling using penalized spline models: A gentle introduction. Psychological Methods, 24, 269-290.

110. Docherty, M., Beardslee, J., Grimm, K. J., & Pardini, D. (2019). Distinguishing between- from within-individual predictors of gun carrying among Black and White males across adolescence. Law and Human Behavior, 43, 144-155.

111. *Fine, K. L., Suk, H., & Grimm, K. J. (2019). An examination of a functional mixed-effects modeling approach for the analysis of longitudinal data. Multivariate Behavioral Research, 54, 475-491.

112. Cash, A. H., Ansari, A., Grimm, K. J., & Pianta, R. C. (2019). Power of two: Impact of 2 years of high quality teacher-child interactions. Early Education and Development, 30, 60-81.

113. Chopik, W. J., & Grimm, K. J. (2019). Longitudinal changes and historic differences in narcissism from adolescence to older adulthood. Psychology and Aging, 34, 1109-1123.

114. *Taylor, B. K., Gavin, W. J., Grimm, K. J., Prince, M. A., Lin, M-H., & Davies, P. L. (2019). Towards a unified model of event-related potentials as phases of stimulus-to-response processing. Neuropsychologia, 132, 107128.

115. *Serang, S., Grimm, K. J., & Zhang, Z. (2019). On the correspondence between latent growth curve and latent change score models. Structural Equation Modeling: A Multidisciplinary Journal, 26, 623-635.

116. *Sladek, M., Doane, L., Gonzales, N., Grimm, K., & Luecken, L. (2019). Latino adolescents’ cultural values associated with diurnal cortisol activity. Psychoneuroendocrinology, 109, 104403.

117. Litz, B. T., Berke, D. S., Kline, N. K., Grimm, K., Rusowicz-Orazem, L., Resick, P. A., Foa, E. B., Wachen, J. S., McLean, C. P., Dondanville, K. A., Borah, A. M., Roache, J. D., Young-McCaughan, S., Yarvis, J. S., Mintz, J., & Peterson, A. L. (2019). Patterns and predictors of change in trauma-focused treatments for war-related posttraumatic stress disorder. Journal of Consulting and Clinical Psychology, 87, 1019-1029.

118. Meier, M. H., Docherty, M., Leischow, S. J., Grimm, K. J., & Pardini, D. (2019). Cannabis concentrate use in adolescents. Pediatrics, 144, e20190338.

119. Jacobucci, R., Serang, S., & Grimm, K. J. (2019). A short note on interpretation in the dual change score model. Structural Equation Modeling: A Multidisciplinary Journal, 26, 924-930.

120. Oh, J., Chopik, W. J., Konrath, S., & Grimm, K. J. (2020). Longitudinal changes in empathy across the life span in six samples of human development. Social Psychological and Personality Science, 11, 244-253.

121. *Sladek, M., Doane, L., Luecken, L., Gonzales, N., & Grimm, K. (2020). Reducing the mismatch: Latino students’ neuroendocrine and affective stress responses following cultural diversity and inclusion reminder. Hormones and Behavior, 120, 104681.

122. *Gunn, H. J., Grimm, K. J., & Edwards, M. C. (2020). Evaluation of six effect size measures of measurement non-invariance for continuous outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 27, 503-514.

123. McNeish, D., Dumas, D. G., & Grimm, K. J. (2020). Estimating new quantities from longitudinal test scores to improve forecasts of future performance. Multivariate Behavioral Research, 55, 894-909.

124. Jacobucci, R., & Grimm, K. J. (2020). Machine learning and psychological research: The unexplored effect of measurement. Perspectives on Psychological Science, 15, 809-816.

125. *Moding, K. J., Bellows, L. L., Grimm, K. J., & Johnson, S. L. (2020). A longitudinal examination of the role of sensory exploratory behaviors in young children's acceptance of new foods. Physiology & Behavior, 218, 112821.

126. Berkel, C., Smith, J. D., Bruening, M. M., Jordan, N., Fu, E., Mauricio, A. M., Grimm, K. J., Winslow, E., Ray, K., Bourne, A., & Dishion, T. J. (2020). The Family Check-Up 4 Health: Study protocol of a randomized type II hybrid effectiveness–implementation trial in integrated primary care (the healthy communities 4 healthy students study). Contemporary Clinical Trials, 96, 106088.

127. Auyeung, K., Hawley, L. L., Grimm, K. J., McCabe, R., & Rowa, K. (2020). Fear of negative evaluation and rapid response to treatment during cognitive behaviour therapy for social anxiety disorder. Cognitive Therapy and Research, 44, 526-537.

128. Cartwright, J. K., Desmarais, S. L., Grimm, K. J., Meade, A., Van Dorn, R. A. (2020). Psychometric properties of the MacArthur Community Violence Screening Instrument. International Journal of Forensic Mental Health, 19, 253-268.

129. *Clifford, S., Doane, L. D., *Breitenstein, R. S., Grimm, K. J., & Lemery-Chalfant, K., (2020). Effortful control moderates the relation between electronic media use and objective sleep indicators in childhood. Psychological Science, 31, 822-834.

130. *Karway, G., Grando, M. A., Grimm, K. J., Groat, D., Cook, C., Thompson, B. (2020). Self-management behaviors of patients with type 1 diabetes: comparing two sources of patient-generated data. Applied Clinical Informatics, 11, 70-78.

131. Groat, D., Corrette, K., Grando, M. A., Vellore, V., Bayuk, M., Karway, G., Boyle, M., McCoy, R., Grimm, K., Thompson, B. (2020). Data-driven diabetes education guided by a personalized report for patients on insulin pump therapy. Applied Clinical Informatics Open, 4, e9-e21.

132. Laposa, J. M., Hawley, L. L., Grimm, K. J., Katz, D. E., & Rector, N. A. (2020). Anxiety sensitivity accelerates the temporal changes in obsessions and compulsions during cognitive behavioral therapy. Cognitive Therapy and Research, 44, 1116-1131.

133. Bixter, M. T., McMichael, S. L., Bunker, C. J., Adelman, R. M., Okun, M. A., Grimm, K. J., Graudejus, O., & Kwan, V. S. Y. (2020). A test of the triadic conceptualization of future self-identification. Plos One, 15, e0242504.

134. Fu, E., Grimm, K. J., Berkel, C., & Smith, J. D. (2020). Parenting and social-ecological correlates with children’s health behaviours: A latent profile analysis. Pediatric Obesity, 15, e12721.

135. Fu, E., Smith, J. D., Grimm, K. J., & Berkel, C. (2020). A latent transition analysis of ecological characteristics of families in a trial to prevent excess weight gain. Annals of Behavioral Medicine, 54, S88.

136. *Lecarie, E. K., Doane, L. D., Davis, M. C., Grimm, K. J., & Lemery-Chalfant, K. (2020). Effects of early, daily, and physiological stress on the development of internalizing symptoms in middle childhood. Psychoneuroendocrinology, 119, 105002.

137. Nelson, N. A., Jacobucci, R., Grimm, K. J., & Zelinski, E. M. (2020). The bidirectional relationship between physical health and memory. Psychology and Aging, 35, 1140-1153.

138. *Davoudzadeh, P., Grimm, K. J., Widaman, K. F., Desmarais, S., Tueller, S., Rodgers, D., & Van Dorn, R. A. (2021). Estimation of latent variable scores with multiple group item response models: Implications for integrative data analysis. Structural Equation Modeling: A Multidisciplinary Journal, 27, 931-941.

139. Serang, S., Jacobucci, R., *Stegmann, G., Brandmaier, A. M., Culianos, D., & Grimm, K. J. (2021). Mplus Trees: Structural equation model trees using Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 28, 127-137.

140. Grimm, K. J., *Fine, K., & *Stegmann, G. (2021). Accounting for standard errors of measurement when modeling change. International Journal of Behavioral Development, 45, 11-18.

141. *Waddell, J. T., *Sternberg, A., Bui, L., Rouf, A. R., Blake, A. J., Grimm, K. J., Elam, K. K., Eisenberg, N., & Chassin, L. (2021). Relations between child temperament and adolescent negative urgency in a high-risk sample. Journal of Research in Personality, 90, 104056.

142. Simons, J. S., Simons, R. M., Grimm, K. J., Keith, J. A., Stoltenberg, S. F. (2021). Affective dynamics among veterans: Associations with distress tolerance and posttraumatic stress symptoms. Emotion, 21, 757-771.

143. *Rodgers, D. M., Jacobucci, R., & Grimm, K. J. (2021). A multiple imputation approach for handling missing data in classification and regression trees. Journal of Behavioral Data Science, 1, 127-153.

144. Grimm, K. J., *Houpt, R., & *Rodgers, D. (2021). Model fit and comparison in finite mixture models: A review and a novel approach. Frontiers in Education, 6, 613645.

145. Grimm, K. J., Helm, J., *Rodgers, D., & O'Rourke, H. (2021). Analyzing cross‐lag effects: A comparison of different cross‐lag modeling approaches. New Directions for Child and Adolescent Development, 2021, 11-33.

146. Hofmans, J., Morin, A.J.S., Breitsohl, H., Ceulemans, E., Chénard-Poirier, L.A., Driver, C.C., Fernet, C., Gagné, M., Gillet, N., González-Romá, V., Grimm, K.J., Hamaker, E.L., Hau, K.-T., Houle, S.A., Howard, J.L., Kline, R.B., Kuijpers, E., Leysen, T., Litalien, D., Mäkikangas, A., Marsh, H.W., McLarnon, M.J.W., Meyer, J.P., Navarro, J., Olivier, E., O’Neill, T.A., Pekrun, R., Salmela-Aro, K., Solinger, O.N., Sonnentag, S., Tay, L., Tóth-Király, I., Vallerand, R.J., Vandenberghe, C., Van Rossenberg, Y.G.T., Vantilborgh, T., Vergauwe, J., Vullinghs, J.T., Wang, M., Wen, Z., & Wille, B. (2021). The baby and the bathwater: On the need for substantive-methodological synergy in organizational research. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14, 497-504.

147. Johnson, S. L., Moding, K. J., Grimm, K. J., Flesher, A. E., Bakke, A. J., & Hayes, J. E. (2021). Infant and toddler responses to bitter-tasting novel vegetables: Findings from the Good Tastes Study. The Journal of Nutrition, 151, 3240-3252.

148. Valiente, C., Doane, L. D., *Clifford, S., Grimm, K. J., & Lemery-Chalfant, K. (2021). School readiness and achievement in early elementary school: Moderation by students' temperament. Journal of Applied Developmental Psychology, 74, 101265.

149. Berkel, C., Fu, E., Carroll, A. J., Wilson, C., Tovar-Huffman, A., Mauricio, A., Rudo-Stern, J., Grimm, K. J., Dishion, T. J., & Smith, J. D. (2021). Effects of the Family Check-Up 4 Health on parenting and child behavioral health: A randomized clinical trial in primary care. Prevention Science, 22, 464-474.

150. Smith, J. D., Berkel, C., Carroll, A. J., Fu, E., Grimm, K. J., Mauricio, A. M., Rudo-Stern, J., Winslow, E., Dishion, T. J., Jordan, N., Atkins, D. C., Narayanan, S. S., Gallo, C., Bruening, M. M., Wilson, C., Lokey, F., Samaddar, K., & Samaddar, K. (2021). Health behaviour outcomes of a family-based intervention for paediatric obesity in primary care: A randomized type II hybrid effectiveness‐implementation trial. Pediatric Obesity, e12780.

151. *Waddell, J. T., Sternberg, A., Grimm, K. J., & Chassin, L. (2021). Do alcohol consequences serve as teachable moments? A test of between- and within-person reciprocal effects from college age to adulthood. Journal of Studies on Alcohol and Drugs, 82, 647-658.

152. Grimm, K. J., & Jacobucci, R. (2021). Reliable trees: Reliability informed recursive partitioning for psychological data. Multivariate Behavioral Research, 56, 595-607.

153. *Fine, K., & Grimm, K. J. (2021). Examination of nonlinear and functional mixed-effects models with nonparametrically generated data. Multivariate Behavioral Research, 56, 669-686.

154. *Wormley, A. S., Scott, M., Grimm, K., Li, N. P., Choy, B. K., & Cohen, A. B. (2021). Loosening the definition of culture: An investigation of gender and cultural tightness. Current Research in Ecological and Social Psychology, 2, 100021.

155. Grimm, K. J., Jacobucci, R., *Stegmann, G., & Serang, S. (2022). Explorations of individual change processes and their determinants: A novel approach and remaining challenges. Multivariate Behavioral Research, 57, 525-542.

156. *McMichael, S. L., Bixter, M. T., Okun, M. A., *Bunker, C. J., *Graudejus, O., Grimm, K. J., & Kwan, V. S. (2022). Is seeing believing? A longitudinal study of vividness of the future and Its effects on academic self-efficacy and success in college. Personality and Social Psychology Bulletin, 48, 478-492.

157. *Gusman, M. S., Grimm, K. J., Cohen, A. B., & Doane, L. D. (2021). Stress and sleep across the onset of the COVID-19 pandemic: Impact of distance learning on US college students’ health trajectories. Sleep, 44, zsab193.

158. Infurna, F. J., Luthar, S. S., & Grimm, K. J. (2022). Lifetime adversity in the context of monthly adversity and psychological well-being in midlife: Evidence of cumulative disadvantage, but not steeling effects of lifetime adversity. The Journals of Gerontology, Series B, 77, 1394-1405.

159. Infurna, F. J., Luthar, S. S., & Grimm, K. J. (2022). Investigating posttraumatic growth in midlife using an intensive longitudinal research design: Posttraumatic growth Is not as prevalent as previously considered. European Journal of Personality, 36, 576-596.

160. *O’Rourke, H. P., *Fine, K. L., Grimm, K. J., & MacKinnon, D. P. (2022). The importance of time metric precision when implementing bivariate latent change score models. Multivariate Behavioral Research, 57, 561-580.

161. *Reilly, S., Grimm, K. J., & Downer, J. (2022). Developmental trajectories of executive functions from preschool to kindergarten. Developmental Science, 25, e13236.

162. Lee, L. O., Grimm, K. J., Spiro III, A., & Kubzansky, L. D. (2022). Neuroticism, worry, and cardiometabolic risk trajectories: Findings From a 40‐year study of men. Journal of the American Heart Association, 11(3), e022006.

163. *Lecarie, E. K., Doane, L. D., Stroud, C. B., Walter, D., Davis, M. C., Grimm, K. J., & Lemery-Chalfant, K. (2022). Does stress predict the development of internalizing symptoms in middle childhood? An examination of additive, mediated, and moderated effects of early family stress, daily interpersonal stress, and physiological stress. Developmental Psychology, 58, 1849-1862.

164. *Wells, J. L., Haase, C. M., Rothwell, E. S., Naugle, K. G., Otero, M. C., Brown, C. L., Lai, J., Chen, K.-H., Connelly, D. E., Grimm, K. J., Levenson, R. W., & Fredrickson, B. L. (2022). Positivity resonance in long-term married couples: Multimodal characteristics and consequences for health and longevity. Journal of Personality and Social Psychology, 123, 983–1003.

165. *Rea-Sandin, G., *Clifford, S., Doane, L. D., Davis, M. C., Grimm, K. J., Russell, M. T., & Lemery-Chalfant, K. (2023). Genetic and environmental links between executive functioning and effortful control in middle childhood. Journal of Experimental Psychology: General, 152, 780–793.

166. *Brown, C. L., Grimm, K. J., Wells, J. L., Hua, A. Y., Levenson, R. W. (2023). Emphatic accuracy and shared depressive symptoms in close relationships. Clinical Psychological Science, 11, 509-525.

167. Campbell, I. G., *Zhang, Z. Y., & Grimm, K. J. (2023). Sleep restriction effects on sleep spindles in adolescents and relation of these effects to subsequent daytime sleepiness and cognition. Sleep, 46, zsad071.

168. Infurna, F. J., *Staben, O. E., *Gardner, M. J., Grimm, K. J., & Luthar, S. S. (2023). The accumulation of adversity in midlife: Effects on depressive symptoms, life satisfaction, and character strengths. Psychology and Aging, 38, 230-246.

169. *Sasser, J., Doane, L. D., Su, J., & Grimm, K. J. (2023). Additive, common, and cumulative contributions of stress on diurnal cortisol activity: Evidence among Latino college students. Psychoneuroendocrinology, 153, 106232.

170. Cordón, I. M., Grimm, K. J., Christo, C., Mendoza, M., Clinton, A., & Goodman, G. S. (2023). Identifying learning disability screens for Spanish-speaking adults: A helpful tool for social work and welfare practice. Advances in Social Work, 23, 85-108.

171. *Waddell, J. T., Corbin, W. R., Grimm, K. J., Metrik, J., Lee, C. M. & Trull, T. J. (2023). Dynamic relations among simultaneous alcohol and cannabis use, subjective responses, and problem drinking during naturally occurring drinking episodes. Drug and Alcohol Dependence, 249, 110837.

172. Lin, H.-F., Spearman, K. J., Ross, J. L., Blackburn, E., Messing, J. T., Campbell, J. C., AbiNader, M. A., & Grimm, K. J. (2023). A transdisciplinary analysis of domestic violence homicides in Harris County, Texas (2016-2020). Homicide Studies, 27, 472-492

173. Campbell, I., Figueroa, J., Bottom, V., Cruz-Basilio, A., *Zhang, Z., & Grimm, K. J. (2024). Maturational trend of daytime sleep propensity in adolescents. Sleep, 47, 1-12.

174. *Gusman, M. S., Safa, M. D., Grimm, K. J., & Doane, L. D. (2024). Contextualizing bicultural competence across youths’ adaptation from high school to college: Prospective associations with mental health and substance use. Clinical Psychological Science, 12, 320-343.

175. *Houpt, R. P., Grimm, K. J., McLaughlin, A. T., & Van Tongeren, D. R. (2024). Evaluating the performance of the LI3P in latent profile analysis models. Structural Equation Modeling: A Multidisciplinary Journal, 31, 280-295.

176. Steele, J. S., & Grimm, K. J. (2024). Using SymPy (Symbolic Python) for understanding structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 31, 1104-1115.

177. *Sasser, J., Doane, L. D., Su, J., & Grimm, K. J. (2024). Stress and diurnal cortisol among Latino/a college students: A multi-risk model approach. Development and Psychopathology, 36, 719-735.

178. *Gusman, M. S., Grimm, K. J., *Wormley, A. S., *Sasser, J. Doane, L. D., *Park, H., Cohen, A. B. (2024). Cultural risk & adaptation: Contributions to psychopathology by social position. Journal of Applied Developmental Psychology, 94, 101699.

179. *Wormley, A. S., Scott, M., Grimm, K. J., & Cohen, A. (in press). Measuring morality: An examination of the moral foundation questionnaire’s factor structure. Personality and Social Psychology Bulletin.

180. Infurna, F. J., *Dey, N. E. Y., Gonzalez Avilés, T., Grimm, K. J., Lachman, M. E., & Gerstorf, D. (in press). Loneliness in midlife: Historical increases and elevated levels in the United States compared with Europe. American Psychologist.

181. Reed, L. A., Brown, M. L., Kappas, A. M., Messing, J. T. Messing, Grimm, K., Wachter, K., Jiwatram-Negrón, T., & Gonzalez-Pons, K. (in press). Patterns of technology-based abuse among adult intimate partner violence survivors and associations with offline abuse. Journal of Interpersonal Violence.

182. Blais, R. K., & Grimm, K. J. (in press). The Interpersonal Theory of Suicide in male service members/veterans: The independent effects of perceived burdensomeness and thwarted belongingness. European Journal of Psychotraumatology.

183. *Waddell, J. T., Corbin, W. R., Grimm, K. J., Metrik, J., Lee, C. M., & Trull, T. J. (in press). Within-episode relations among simultaneous alcohol and cannabis use and continued drinking: The role of momentary subjective responses, craving, and drinking context. Alcohol: Clinical and Experimental Research.

184. Wettstein, M., Infurna, F. J., *Dey, N. E. Y., Cruz-Carrillo, Y., Grimm, K. J., Lachman, M. E., Gerstorf, D. (in press). Trajectories of episodic memory in midlife: Historical change from a cross-country perspective. Psychology & Aging.

185. Levendosky, A. A., Grimm, K. J., Lonstein, J.S., Bogat, G. A., Muzik, M., Nutall, A. K., & Martinez-Torteya, C. (in press). Pinpointing the timing of prenatal stress associated with infant biobehavioral reactivity. Psychoneuroendocrinology. 

Chapters

1. Grimm, K. J., & McArdle, J. J. (2005). A note on the computer generation of structural expectations. In F. Dansereau & F. Yammarino (Eds.) Multi-level issues in strategy and research methods (Volume 4 of Research in multi-level issues) (pp. 335-372). Amsterdam: JAI Press/Elseiver.

2. Chow, S. M., Grimm, K. J., Fujita, F., & Ram, N. (2007). Exploring cyclic change in emotion using item response models and frequency-domain analysis. In A. Ong & M. van Dulmen (Eds.), Oxford Handbook of Methods in Positive Psychology (pp. 362-379). Oxford, England: Oxford University Press.

3. Grimm, K. J. & McArdle, J. J. (2007). A dynamic structural analysis of the potential impacts of major context shifts on lifespan cognitive development. In T. D. Little, J. A. Bovaird, & N. A. Card (Eds.), Modeling contextual effects in longitudinal studies (pp. 363-386). Mahwah, NJ: Erlbaum.

4. Grimm, K. J., McArdle, J. J., & Hamagami, F. (2007). Nonlinear growth mixture models in research on cognitive aging. In K. van Montfort, H. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 267-294). Mahwah, NJ: Erlbaum.

5. McArdle, J. J., & Grimm, K. J. (2010). Five steps in latent curve and latent change score modeling with longitudinal data. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Longitudinal research with latent variables (pp. 245-274). Heidelberg, Germany: Springer-Verlag.

6. Grimm, K. J., McArdle, J. J., & Widaman, K. F. (2010). Family-level variance in verbal ability change. In K. Trzesniewski, M. B. Donnellan, & R. E. Lucas (Eds.), Secondary data analysis: An introduction for psychologists (pp. 209-229). Washington, DC: American Psychological Association.

7. McArdle, J. J., & Grimm, K. J. (2010). An empirical example of change analysis by linking longitudinal item response data from multiple tests. In A. von Davier (Ed.), Statistical models for test equating, scaling, and linking (pp. 71-88). New York: Springer Science + Business Media.

8. Ram, N., Grimm, K. J., Gatzke-Kopp, L. M., & Molenaar, P. C. M. (2011). Longitudinal mixture models and the identification of archetypes. In B. Laursen, T. Little, & N. Card (Eds.), Handbook of developmental research methods (pp. 481-500). New York: Guilford Publications.

9. Grimm, K. J., & Ram, N. (2011a). Growth curve modeling from an SEM perspective. In B. Laursen, T. Little, & N. Card (Eds.), Handbook of developmental research methods (pp. 411-431). New York: Guilford Publications.

10. Grimm, K. J., & Ram, N. (2011b). Modeling change over time. In G. Tenenbaum, R. Eklund, & A. Kamata (Eds.), Measurement in sport and exercise psychology (pp. 65-74). Champaign, IL: Human Kinetics.

11. Ferrer, E., & Grimm, K. J. (2012). Issues in collecting longitudinal data. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA Handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological (pp. 275-290). Washington, DC: American Psychological Association.

12. Grimm, K. J., & Widaman, K. F. (2012). Construct validity. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA Handbook of research methods in psychology, Vol 1: Foundations, planning, measures, and psychometrics (pp. 621-642). Washington, DC: American Psychological Association.

13. Shiyko, M. P., Ram, N., & Grimm, K. J. (2012). An overview of growth mixture modeling: A simple nonlinear application in OpenMx. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 532-546). New York: Guilford Press.

14. Widaman, K. F., & Grimm, K. J. (2013). Exploratory analysis of risk factors during pregnancy and the neonatal period in children born to mother with phenylketonuria. In J. J. McArdle & G. Ritschard (Eds.), Contemporary issues in exploratory data mining (pp.450-470). New York: Routledge Press.

15. Grimm, K. J., Ram, N., Shiyko, M. P., & Lo, L. L. (2013). A simulation study of the ability of growth mixture models to uncover growth heterogeneity. In J. J. McArdle & G. Ritschard (Eds.), Contemporary issues in exploratory data mining (pp. 172-189). New York: Routledge Press.

16. Widaman, K. F., & Grimm, K. J. (2014). Advanced psychometrics: Confirmatory factor analysis, item response theory, and the study of measurement invariance. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (2nd ed., 534-570). Cambridge: Cambridge University Press.

17. Ram, N., & Grimm, K. J. (2015). Growth curve modeling and longitudinal factor analysis. In W. F. Overton & P. C. M. Molenaar (Eds.), Handbook of child psychology and developmental science: Theory & method (pp. 758-788). Hoboken, NJ: Wiley.

18. Kim-Spoon, J., & Grimm, K. J. (2016). Latent growth modeling and developmental psychopathology. In D. Cicchetti (Eds.), Developmental psychopathology (3rd ed. pp., 986-1041). Hoboken, NJ: Wiley.

19. Grimm, K. J., & *Helm, J. L. (2016). Latent class analysis and growth mixture models. In S. K. Whitbourne (Ed.), Encyclopedia of adulthood and aging (pp. 731-737). Hoboken, NJ: Wiley-Blackwell.

20. Grimm, K. J., & McArdle, J. J. (2017). Structural equation modeling. In B. Hopkins, E. Geangu, & S. Linkenauger (Eds.), The Cambridge encyclopedia of child development (2nd ed., pp. 196-200). Cambridge, UK: Cambridge University Press.

21. Bowles, R. P., Schmidt, K. M., Kline, T. L., & Grimm, K. J. (2018). Ben Wright, Rasch measurement, and cognitive psychology. In M. Wilson & W. P. Fisher Jr. (Eds.), Psychological and social measurement: The career and contributions of Benjamin D. Wright (pp. 119-133). Cham, Switzerland: Springer International Publishing.

22. Kim-Spoon, J., Maciejewski, D. F., & Grimm, K. J. (2019). Contemporary quantitative statistical methods for family psychology. In B. Fiese, M. Celano, K. Deater-Deckard, E. N. Jouriles, & M. A. Whisman (Eds), APA Handbook of Contemporary Family Psychology: Volume 1. Foundations, methods, and contemporary issues across the lifespan. (pp. 299-316). Washington, DC: American Psychological Association.

23. Grimm, K. J., & *Jacobucci, R. (2019). Individually varying time metrics in latent change score models. In E. Ferrer, S. M. Boker, & K. J. Grimm (Eds.), Longitudinal multivariate psychology (pp. 61-79). New York, NY: Taylor & Francis.

24. *Jacobucci, R., & Grimm, K. J. (2019). Regularized estimation of multivariate latent change score models. In E. Ferrer, S. M. Boker, & K. J. Grimm (Eds.), Longitudinal multivariate psychology (pp. 109-125). New York, NY: Taylor & Francis.

25. *Fine, K. L., & Grimm, K. J. (2019). Multilevel modeling and multilevel structural equation modeling in lifespan developmental analysis. In B. Knight (Ed.), Oxford Research Encyclopedia of Psychology and Aging (pp. 1-24). Oxford University Press.

26. Grimm, K. J., *Stegmann, G., Jacobucci, R., & Serang, S. (2020). Big data in developmental psychology. In S. E. Woo, L. Tay, & R. W. Proctor (Eds.), Big data in psychological research (pp. 297-318). Washington, DC: American Psychological Association.

27. Grimm, K. J., & Helm, J. L. (2020). Teaching statistical concepts through a scale development project. In J. L. Rodgers (Ed.), Teaching statistics (pp. 281-290). New York: Taylor & Francis.

28. Infurna, F. J., *Staben, O. E., *Gardner, M. J., Grimm, K. J., & Luthar, S. S. (2021). Studying post-traumatic growth across the adult lifespan: Conceptual and methodological considerations. In (Eds.), Redesigning research on post-traumatic growth: Challenges, pitfalls and new directions (pp. 186-211). Oxford.

29. Grimm, K. J., & Widaman, K. F. (2023). Construct validity. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA Handbook of research methods in psychology, Vol 1: Foundations, planning, measures, and psychometrics (2nd Edition, pp. 769-791). Washington, DC: American Psychological Association.

30. Grimm, K. J., Jacobucci, R., & McArdle, J. J. (2023). Decision trees and ensemble methods in the behavioral sciences. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA Handbook of research methods in psychology, Vol 3: Data analysis and research publications (2nd Edition, pp. 429-448). Washington, DC: American Psychological Association.

31. Grimm, K. J., & McArdle, J. J. (2023). Latent curve modeling of longitudinal growth data. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd Edition, pp. xx-xx). New York: Guilford Press:

32. *Ni, Y., *Manapat, D., Infurna, F., & Grimm, K. J. (2024). Testing measurement invariance across time and groups of emerging adults. In A. Sorgente, R. Vosylis, J. Schwab, & S. Claxton (Eds.), Flourishing as a scholar: Research methods for the study of emerging adulthood (pp. 224-244). Oxford University Press.

33. Grimm, K. J., & *Miller, M. (in press). Developmental methodology – Macro perspectives. In M. E. Lachman & A. Spiro (Eds.), APA handbook of adult development and aging (pp. xx-xx). Washington, DC: American Psychological Association.

Commentaries

1. Widaman, K. F., & Grimm, K. J. (2009). Invariance or noninvariance, that is the question. Measurement: Interdisciplinary Research and Perspectives, 7, 8-12.

2. West, S. G., & Grimm, K. J. (2014). Causal indicator models: Unresolved issues of construction and evaluation. Measurement: Interdisciplinary Research and Perspectives, 12, 160-164.

Published Abstracts

1. *Castro-Schilo, L., Grimm, K. J., & Widaman, K. F. (2013). Abstract: Uncrossing the correlated trait-correlated method model for multitrait-multimethod data. Multivariate Behavioral Research, 48, 152.

2. *Staben, O. E., Infurna, F., Grimm, K., & Luthar, S. (2019). Examining the role of adversity and positive life events in the relation between gratitude and well-being. Innovation in Aging, 3, 928.

3. Infurna, F. J., Grimm, K. J., Luthar, S. S., & Staben, O. (2021). Do objective or subjective neighborhood indicators protect against adversity on mental health and well-being? Innovation in Aging, 5, 391.

4. *Dey, N., Infurna, F., & Grimm, K. (2023). Religiosity/spirituality promotes well-being for middle-aged adults in the context of monthly adversity. Innovation in Aging, 7, 847.

5. Cruz-Carrillo, Y., Infurna, F., *Dey, N., Wettstein, M., Grimm, K., Lachman, M., & Gerstorf, D. (2024). Hisotical change in midlife trajectories of physical health: A cross-national approach. Innovation in Aging, 8, 545.

6. Infurna, F., Syed, O., Cruz-Carrillo, Y., Dey, N., Wettstein, M., Grimm, K., Lachman, M., Gerstorf, D. (2024). Pain during midlife: A cross-national analysis of cohort differences in the US, Europe, South Korea, and Mexico. Innovation in Aging, 8, 672.

7. Scheffer, J., Levan, D., Wells, J., Gallagher-Thompson, D., Grimm, K., Chen, K-H., Wang, G., Levenson, R. (2024). In-home assistive technology protects dementia caregivers from worsening sleep efficiency. Innovation in Aging, 8, 338.

Reviews 

1. Grimm, K. J. (2016). A review of Handbook of Intraindividual Variability Across the Life Span. Journal of Educational and Behavioral Statistics, 41, 550-553

2. Grimm, K. J. (2017). A review of Longitudinal Data Analysis using Structural Equation Models. Psychometrika, 82, 530-532.

3. Grimm, K. J. (2017). A review of Multilevel Modeling using Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 24, 960-962.

4. *Stegmann, G., Jacobucci, R., Harring, J. R., & Grimm, K. J. (2018). Nonlinear mixed-effects modeling programs in R. Structural Equation Modeling: A Multidisciplinary Journal, 25, 160-165.

5. *Lee, W., & Grimm, K. J. (2018). Generalized linear mixed-effects modeling programs in R for binary outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 25, 824-828.

6. Grimm, K. J. (2019). A review of Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. Structural Equation Modeling: A Multidisciplinary Journal, 26, 493-495.

Software

1. Zhang, Z., McArdle, J. J., Hamagami, F., & Grimm, K. J. (2016). RAMpath: Structural Equation Modeling Using the Reticular Action Model (RAM) Notation. https://cran.r-project.org/web/packages/RAMpath/RAMpath.pdf

2. *Jacobucci, R., Grimm, K. J., Brandmaier, A. M., *Serang, S., & Kievet, R. A., Scharf, F. (2018). regsem: Regularized Structural Equation Modeling. https://cran.r-project.org/web/packages/regsem/regsem.pdf

3. *Serang, S., Jacobucci, R., Grimm, K. J., Stegmann, G., Brandmaier, A. M. (2019). MplusTrees: Decision Trees with Structural Equation Models Fit in Mplus. https://cran.r-project.org/web/packages/MplusTrees/MplusTrees.pdf