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Kevin J. Grimm

University of California, Davis


Updates of my website can be found at

https://sites.google.com/site/longitudinalmethods/people/kevin-grimm

Publications

  1. Serang, S., Zhang, Z., Helm, J., Steele, J. S., & Grimm, K. J. (in press). Evaluation of a Bayesian approach to estimating nonlinear mixed-effects mixture models. Structural Equation Modeling.
  2. Grimm, K. J., & Helm, J. L. (in press). Latent class analysis and growth mixture models. In S. K. Whitbourne (Ed.), Encyclopedia of Adulthood and Aging (pp. xx-xx). Hoboken, NJ: Wiley-Blackwell.
  3. Kim-Spoon, J., & Grimm, K. J. (in press). Latent growth modeling and developmental psychopathology. In D. Cicchetti (Eds.), Developmental Psychopathology (3rd Ed.. pp. xx-xx). Hoboken, NJ: Wiley.
  4. Desmarais, S. L., Van Dorn, R. A., Johnson, K., & Grimm, K. J. (in press). Community violence perpetration and victimization among adults with mental illness. American Journal of Public Health.
  5. Pianta, R., 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.
  6. Zhang, Z., Hamagami, F., Grimm, K. J., & McArdle, J. J. (in press). Using R Package RAMpath for tracing SEM path diagrams and conducting complex longitudinal data analysis. Structural Equation Modeling.
  7. Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (in press). Toward improving the modeling of MTMM data: A response to Geiser, Koch, and Eid (2013). Structural Equation Modeling.
  8. Jones, K. P., King, E. B., Gilrane, V. L., McCausland, T. C., Cortina, J. M., & Grimm, K. J. (in press). The baby bump: Managing a dynamic stigma over time. Journal of Management.
  9. Grimm, K. J., Davoudzadeh, P., & Ram, N. (in press). Longitudinal analysis. In N. Card (Ed.), Developmental Methodology (pp. xx-xx). Society for Research in Child Development Monograph.
  10. Ram, N., & Grimm, K. J. (in press). 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. xx-xx). Hoboken, NJ: Wiley.
  11. Nelson, J. A., O’Brien, M., Grimm, K. J., Leerkes, E. M. (in press). Identifying mother-child interaction styles using a person-centered approach. Social Development.
  12. Grimm, K. J., Casto-Schilo, L., & Davoudzadeh, P. (2013). Modeling intraindividual change in nonlinear growth models with latent change scores. GeroPsych, 26, 153-162.
  13. Widaman, K. F., & Grimm, K. J. (in press). 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., xx-xx). Cambridge: Cambridge University Press. 
  14. Mazzocco, M., & Grimm, K. J. (in press). Growth in rapid automatized naming from K – 8 in children with math or reading disabilities. Journal of Learning Disabilities.
  15. Chow, S. M., Grimm, K. J., McArdle, J. J., Dolan, C. V. (2013). A regime-switching dual change score model. Multivariate Behavioral Research, 48, 463-502.
  16. Grimm, K. J., Zhang, Z., Hamagami, F., & Mazzocco, 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.
  17. 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, 20, 568-591.
  18. Wang, L., & Grimm, K. J. (2012). Investigating reliabilities of intra-individual variability indicators. Multivariate Behavioral Research, 47, 771-802.
  19. 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.
  20. 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.
  21. 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.
  22. 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, 20, 181-207.
  23. 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, 20, 384-408.
  24. Grimm, K. J., Kuhl, A. P., & Zhang, Z. (2013). Measurement models, estimation, and the study of change. Structural Equation Modeling, 20, 504-517.
  25. Campbell, I. G., Grimm, K. J., de Bie, E., & Feinberg, I. (2012). Sex, puberty, and the timing of EEG measured adolescent brain maturation. Proceedings of the National Academy of Sciences, 109, 5740-5743.
  26. 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-F540.
  27. 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.
  28. 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, 19, 268-292.
  29. 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.
  30. 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.
  31. 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.
  32. Grimm, K. J. (2012). Intercept centering and time coding in latent difference score models. Structural Equation Modeling, 19, 137-151.
  33. 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.
  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. 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.
  36. Grimm, K. J., & Ram, N. (2011). Growth curve modeling from an SEM perspective. In T. Little, B. Laursen, & N. Card (Eds.), Handbook of developmental research methods (pp. 411-431). New York: Guilford Publications.
  37. Ram., N., Grimm, K. J., Gatzke-Kopp, L. M., Molenaar, P. C. M. (2011). Longitudinal mixture models and the identification of archetypes: Action-adventure, mystery, science fiction, fantasy, or romance? In T. Little, B. Laursen, & N. Card (Eds.), Handbook of developmental research methods (pp. 481-500). New York: Guilford Publications.
  38. 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.
  39. Grimm, K. J., & Widaman, K. F. (in press). Construct validity. In H. Cooper (Ed.), Handbook of research methods in psychology (pp. xx-xx). Washington, DC: American Psychological Association.
  40. Ferrer, E., & Grimm, K. J. (in press). Issues in collecting longitudinal data. In H. Cooper (Ed.), Handbook of research methods in psychology (pp. xx-xx). Washington, DC: American Psychological Association.
  41. Grimm, K. J., Ram, N., & Hamagami, F. (2011). Nonlinear growth curves in developmental research. Child Development, 82, 1357-1371.
  42. 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 Quaterly, 25, 373-384.
  43. Grimm, K. J., & Ram, N. (2011). Modeling change over time. In G. Tenenbaum, R. Eklund, & A. Kamata (Eds.), Handbook of measurement in sport and exercise psychology (pp. 65-74). Champaign, IL: Human Kinetics.
  44. 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.
  45. Grimm, K. J., Ram, N., & Estabrook, R. (2010). Nonlinear structured growth mixture models in Mplus and OpenMx. Multivariate Behavioral Research, 45, 887-909.
  46. 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.
  47. 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.
  48. 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. Washington, DC: American Psychological Association.
  49. 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.
  50. 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.
  51. Grimm, K. J., & Widaman, K. F. (2010). Residual structures in latent growth curve modeling. Structural Equation Modeling, 17, 424-442. Mplus Scripts
  52. 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.
  53. 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.
  54. 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. Mplus Scripts
  55. 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.
  56. Grimm, K. J., & Ram, N. (2009). Nonlinear growth models in Mplus and SAS. Structural Equation Modeling,16, 676-701. Mplus & SAS Scripts
  57. 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.
  58. Grimm, K. J., & Ram, N. (2009). A second-order growth mixture model for developmental research. Research in Human Development, 2-3, 121-143. Mplus Scripts
  59. 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.
  60. Cameron Ponitz, C., Rimm-Kaufman, S.E., Grimm, K. J., & Curby, T. W. (2009). How kindergarten classroom quality contributes to reading achievement: The critical role of behavioral engagement. School Psychology Review, 38, 102-120.
  61. Grimm, K. J., Pianta, R. C., & Konold, T. (2009). Longitudinal multitrait-multimethod models for developmental research. Multivariate Behavioral Research, 44, 233-258. Mplus Scripts
  62. Widaman, K. F., & Grimm, K. J. (2009). Invariant or not invariant, that is the question. Measurement, 7, 8-12.
  63. 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.
  64. Grimm, K. J. (2008). Longitudinal associations between reading and mathematics. Developmental Neuropsychology, 33, 410-426.
  65. 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.
  66. 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.
  67. Grimm, K. J. (2007). Multivariate longitudinal methods for studying developmental relationships between depression and academic achievement. International Journal of Behavioral Development, 31, 328-339. Mplus Scripts
  68. 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. Mplus & SAS Scripts
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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. Maple Scripts
  78. 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.