Statistical methods for describing developmental patterns

Early Education and Development

Volumn 10, Issue 1, 1999, Pages 83-99

  Burchinal, Margaret R ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0010559253     PISSN: 10409289     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15566935eed1001_6     Document Type: Article

References (28)

1. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
2. Bayley, N. (1969). Bayley Scales of Infant Development. New York: Psychological Corp.
3. Bronfrenbrenner, U., & Crouter, A. C. (1983). The evolution of environmental models in developmental research. In W. Kessen (Ed.) History, theories, and methods (Vol. 1), of P. H. Mussen (Ed.), Handbook of child development. New York: Wiley.
4. Brooks-Gunn, J., Phelps, E., & Elder, G. H., Jr. (1991). Studying lives through time: Secondary data analysis in developmental psychology. Developmental Psychology, 27, 899-910.
5. Bryk, A. S., & Raudenbush, S. W. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin, 101, 147-158.
6. Burchinal, M., & Appelbaum, M. I. (1991). Estimating individual developmental functions: Methods and their assumptions. Child Development, 62, 23-43.
7. Burchinal, M. R., Bailey, D. B., & Synder, P. (1994). Using growth curve analysis to evaluate child changes in longitudinal investigations. Journal of Early Intervention, 18, 422-442.
8. Burchinal, M. R., Campbell, F. A., Bryant, D. M, Wasik, B. A., & Ramey, C. T. (1997). Early intervention and mediating processes in cognitive performance of children of low- income African-American families. Child Development, 68, 935-954.
9. Caldwell, B. M., & Bradley, R. H. (1979). Manual for the Home Observation for Measurement of the Environment. (Mimeographed) Little Rock, Arkansas: University of Arkansas at Little Rock.
10. Duncan, G. J. (1991). Made in heaven: Secondary data analysis and interdisciplinary collaborators. Developmental Psychology, 27, 949-951.
11. Francis, D. J., Fletcher, J. M., Stuebing, K. K., Davidson, K. C, & Thompson, N. M. (1991). Analysis of change: Modeling individual growth. Journal of Consulting and Clinical Psychology, 59, 27-37.
12. Jennrich, R. I., & Schluchter (1986). Unbalanced repeated-measures models with structured covariance matrices, Biometrics, 42, 805-820.
13. Kleinbaum, D., Kupper, L., & Muller, K. (1988). Applied regression analysis and other multivariate methods (2nd Ed.). Boston: PWS-Kent.
14. Laird, N. M., & Ware, J. H. (1982). Random-effects models for longitudinal data, Biometrics, 38, 963-974.
15. Liang, K.Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika. 73, 13-22.
16. McCall, R. B., & Appelbaum, M. I. (1991). Some issues of conducting secondary analyses. Developmental Psychology, 27, 911-917.
17. McLean, R. A., Sanders, W. L. & Stroup, W. W. (1991). A unified approach of mixed linear models. The American Statistician, 45, 54-64.
18. McCarthy, D. (1972). McCarthy Scales of Children’s Abilities. New York: Psychological Corp.
19. Ramey, C. T., & Smith, B. (1977). Assessing the intellectual consequences of early intervention with high-risk infants. American Journal of Mental Deficiency, 81, 319-324.
20. Sameroff, A. J. (1983). Developmental systems: Contexts and evolution. In W. Kessen (Ed.) History, theories, and methods (Vol. 1), of P. H. Mussen (Ed.), Handbook of child development (pp. 237-294). New York: Wiley.
21. Schaefer, E. S., & Bell, R. (1954). Development of a parental attitude research instrument. Child Development, 29, 339-361.
22. Schaefer, E. S. & Edgerton, M. (1985). Parent and child correlates of parental modernity. In I. E. Sigel (Ed.), Parental belief systems (pp. 83-105), Hillsdale, NJ: Erlbaum.
23. Singer, J., & Willett, J. B. (1991). Modeling the days of our lives: Using survival analysis when designing and analyzing longitudinal studies of duration and the timing of events. Psychological Bulletin, 110, 268-298.
24. Terman, L. M., & Merrill, N. Q. (1972). Stanford-Binet Intelligence Scale: 1972 Norms Editions. Boston: Houghton Mifflin.
25. Wechsler, D. (1974). Wechsler Intelligence Scale for Children-Revised. New York: The Psychological Corporation.
26. Wechsler, D. (1967). Wechsler Preschool and Primary Scale of Intelligence. New York: Psychological Corporation.
27. Willett, J. B. (1989). Some results on reliability for the longitudinal measurement of change: Implications for the design of studies of individual growth. Educational and Psychological Measurement, 49, 587-603.
28. Willet, J. B., & Sayer, A. G., (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychological Bulletin, 116, 363-381.