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Kevin J. Grimm

University of California, Davis


Publications

  1. Grimm, K. J., Steele, J. S., Ram, N., & Nesselroade, J. R. (in press). Exploratory latent growth models in the structural equation modeling framework. Structural Equation Modeling.
  2. Wang, L., & Grimm, K. J. (in press). Investigating reliabilities of intra-individual variability indicators. Multivariate Behavioral Research.
  3. Widaman, K. F., & Grimm, K. J. (in press). 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. New York: Routledge Press.
  4. Grimm, K. J., Ram, N., Shiyko, M. P., & Lo, L. L. (in press). 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. New York: Routledge Press.
  5. 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.
  6. Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (in press). Neglect the structure of multitrait-multimethod data at your peril: Implications for associations with external variables. Structural Equation Modeling.
  7. Widaman, K. F., Grimm, K. J., Early, D. W., Robins, R. W., & Conger, R. D. (in press). Investigating factorial invariance of latent variables across populations when manifest variables are missing completely. Structural Equation Modeling.
  8. Grimm, K. J., Kuhl, A. P., & Zhang, Z. (in press). Measurement models, estimation, and the study of change. Structural Equation Modeling.
  9. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Grimm, K. J. (2012). Intercept centering and time coding in latent difference score models. Structural Equation Modeling, 19, 137-151.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. Grimm, K. J., Ram, N., & Hamagami, F. (2011). Nonlinear growth curves in developmental research. Child Development, 82, 1357-1371.
  27. 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.
  28. 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.
  29. 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.
  30. Grimm, K. J., Ram, N., & Estabrook, R. (2010). Nonlinear structured growth mixture models in Mplus and OpenMx. Multivariate Behavioral Research, 45, 887-909.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. Grimm, K. J., & Widaman, K. F. (2010). Residual structures in latent growth curve modeling. Structural Equation Modeling, 17, 424-442. Mplus Scripts
  37. 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.
  38. 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.
  39. 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
  40. 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.
  41. Grimm, K. J., & Ram, N. (2009). Nonlinear growth models in Mplus and SAS. Structural Equation Modeling,16, 676-701. Mplus & SAS Scripts
  42. 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.
  43. 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
  44. 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.
  45. 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.
  46. Grimm, K. J., Pianta, R. C., & Konold, T. (2009). Longitudinal multitrait-multimethod models for developmental research. Multivariate Behavioral Research, 44, 233-258. Mplus Scripts
  47. Widaman, K. F., & Grimm, K. J. (2009). Invariant or not invariant, that is the question. Measurement, 7, 8-12.
  48. 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.
  49. Grimm, K. J. (2008). Longitudinal associations between reading and mathematics. Developmental Neuropsychology, 33, 410-426.
  50. 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.
  51. 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.
  52. 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
  53. 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
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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
  63. 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.

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