Why Missing Data Matter in the Longitudinal Study of Adolescent Development: Using the 4-H Study to Understand the Uses of Different Missing Data Methods-Reference-Cited by-同舟云学术

Why Missing Data Matter in the Longitudinal Study of Adolescent Development: Using the 4-H Study to Understand the Uses of Different Missing Data Methods

Published:2010-05-06 Issue:7 Volume:39 Page:816-835
ISSN:0047-2891
Container-title:Journal of Youth and Adolescence
language:en
Short-container-title:J Youth Adolescence

Author:

Jeličić Helena,Phelps Erin,Lerner Richard M.

Publisher

Springer Science and Business Media LLC

Subject

Social Sciences (miscellaneous),Developmental and Educational Psychology,Education,Social Psychology

Link

http://link.springer.com/content/pdf/10.1007/s10964-010-9542-5.pdf

Reference40 articles.

1. Allison, P. D. (2002). Missing data. Thousand Oaks, CA: Sage.

2. Arbuckle, J. L. (1996). Full information estimation procedure in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advance structural equation modeling (pp. 243–277). Mahwah, NJ: Lawrence Erlbaum.

3. Armsden, G., & Greenberger, M. (1987). The inventory of parent and peer attachment: Individual differences and their relationship to psychological well-being in adolescence. Journal of Youth and Adolescence, 16, 427–452.

4. Baltes, P. B., Reese, H. W., & Nesselrode, J. R. (1988). Introduction to research methods: Life-span developmental psychology. Hillsdale, NJ: Lawrence Erlbaum.

5. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multivariate regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Erlbaum.

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