Introduction: The need for longitudinal studies in adult literacy and numeracy education

Tracking Adult Literacy and Numeracy Skills: Findings from Longitudinal Research

Volumn , Issue , 2008, Pages 1-23

  Reder, Stephen ^a   Bynner, John ^b  

^a PORTLAND STATE UNIVERSITY   (United States)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84909292730     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203888889     Document Type: Editorial

References (31)

1. Ashton, D., & Green, F. (1996). Education, training and the global economy. Cheltenham, UK: Edward Elgar.
2. Beder, H. (1999). The outcomes and impacts of adult literacy education in the United States. Report #6 of the National Center for the Study of Adult Learning and Literacy. Cambridge, MA: Harvard University Graduate School of Education.
3. Bentler, P. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
4. Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. Hoboken, NJ: John Wiley & Sons.
5. Bynner, J., & Parsons, S. (2006). New light on literacy and numeracy. NRDC Report: Institute of Education, London.
6. Casey, H., Cara, O., Eldred, J., et al. (2006). You wouldn't expect a maths teacher to teach plastering . . . : Embedding literacy, language and numeracy in post-16 vocational programmes-the impact on learning and achievement. London: NRDC.
7. Comings, J., Parella, A., & Soricone, L. (1999). Persistence among adult basic education students in pre-GED classes. NCSALL Reports #12, Cambridge, MA: NCSALL.
8. DfEE (Department for Education and Employment). (1999). A fresh start: Improving adult literacy and numeracy. Report of the Working Group, Sudbury: DfEE Publications.
9. Diggle, P. J., Heagerty, P., Liang, K.-Y., et al. (2002). Analysis of longitudinal data (2nd Edition). Oxford: Oxford University Press.
10. Farrell, A. D. (1994). Structural equation modeling with longitudinal data: Strategies for examining group differences and reciprocal relationships. Journal of Consulting and Clinical Psychology, 62, 477-87.
11. Goldstein, H. (1995). Multilevel statistical models (2nd ed.). New York: Halstead Press.
12. Hamilton, M., & Hillier, Y. (2006). Changing Faces of Adult Literacy, Language and Numeracy. Stoke on Trent, UK: Trentham Books.
13. HM Treasury. (2006). Leitch review of skills. Prosperity for all in the global economy-world class skills, http://www.hmtreasury.gov.uk/independent_reviews/leitch_review/review_leitch_index.cfm.
14. Jöreskog, K., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language Hove and London: Scientific Software International.
15. Laird, N. M. (1988). Missing data in longitudinal studies. Statistics in Medicine, 7, 305-15.
16. Little, R. J. A. (1995). Modeling the dropout mechanism in repeated-measures studies. Journal of the American Statistical Association, 90, 1112-21.
17. Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: John Wiley.
18. Magnusson, D., Bergman, L. R., Rudinger, G., et al. (Eds.) (1994). Problems and methods in longitudinal research: Stability and change. New York: Cambridge University Press.
19. Maruyama, G. M. (1998).Basics of structural equation modeling. Thousand Oaks, CA: Sage.
20. Murray, S., Kirsch, I., & Jenkins, L. (1998). Adult literacy in OECD countries. Washington, DC: National Center for Education Statistics, U.S. Department of Education, Office of Educational Improvement.
21. Muthén, L. K, & Muthén, B. O. (2006). MPlus user's guide (4th ed.). Los Angeles: Muthén & Muthén.
22. Purcell-Gates, V., Jacobson, E., & Degener, S. (2004). Print literacy: Uniting cognitive and social practice theories. Cambridge, MA: Harvard University Press.
23. Raudenbush, S. W., & Bryk, A. A. (2002). Hierarchical linear models: Applications and data analysis methods, 2nd ed. Thousand Oaks, CA: Sage.
24. Reder, S., & Strawn, C. (2001). Program participation and self-directed learning to improve basic skills. Focus on Basics, 4(D), 14-17.
25. Reder, S., & Strawn, C. (2006). Broadening the concepts of participation and program support. Focus on Basics, 8(C), 6-10.
26. Rifkin, J. (1995). The end of work. New York: Putnam.
27. Rubin, D. B. (1987). Multiple imputation for non-response in surveys. New York: Wiley.
28. Saldaña, J. (2003). Longitudinal qualitative research: Analyzing change through time. Lanham, MD: AltaMira Press.
29. Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford & New York: Oxford University Press.
30. Strawn, C., Lopez, C., & Setzler, K. (2000, revised 2007). It CAN be done: Sample retention methods used by the Longitudinal Study of Adult Learning. Portland, OR: Portland State University. Retrieved March 24, 2008, from www.lsal.pdx.edu/instruments.html.
31. Willett, J., & Sayer, A. (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychological Bulletin, 116(2), 363-80.