Adding a statistical wrench to the "toolbox"

Research in Higher Education

Volumn 49, Issue 2, 2008, Pages 172-179

  DesJardins, Stephen L ^a   Lindsay, Nathan K ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF NORTH CAROLINA WILMINGTON   (United States)

Author keywords

Academic performance; College completion; College graduation; High school curriculum; Likelihood ratio test; Logistic regression

Indexed keywords

EID: 38349180693     PISSN: 03610365     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11162-007-9067-2     Document Type: Article

References (14)

1. Adelman, C. (1999). Answers in the toolbox: Academic intensity, attendance patterns, and bachelor's degree attainment. Jessup, MD: U.S. Department of Education.
2. Adelman, C. (2006a). The toolbox revisited: Paths to degree completion from high school through college. Washington, D.C.: U.S. Department of Education.
3. Adelman, C. (2006b). The propaganda of numbers. The Chronicle of Higher Education, October 13, 2006.
4. Allison, P. D. (1999). Comparing logit and probit coefficients across groups. Sociological Methods and Research, 28(2), 186-208.
5. Cabrera, A. F. (1994). Logistic regression analysis in higher education: An applied perspective. In J. C. Smart (Ed.), Higher education: Handbook of theory and research, Vol. 10. New York, NY: Agathon Press.
6. Capriccioso, R. (2006). Another peek into the 'toolbox.' Inside Higher Education. Retrieved on September 21, 2006 from http://www.insidehighered.com/ news/2006/02/15/toolbox.
7. DesJardins, S. L., McCall, B. P., Ahlburg, D. A., & Moye, M. J. (2002). Adding a timing light to the 'tool box'. Research in Higher Education, 43(1), 83-114.
8. Eliason, S. R. (1993). Maximum likelihood estimation: Logic and practice. Quantitative Applications in the Social Sciences. Thousand Oaks, CA: Sage Publications.
9. Hanushek, E. A., & Jackson, J. E. (1977). Statistical methods for social scientists. New York: Academic Press.
10. Hosmer, D., & Lemeshow, S. (1989). Applied logistic regression. New York: Wiley & Sons.
11. Long, J. S. (1997). Regression models for categorical and limited dependent variables. Sage series for advanced quantitative techniques. Thousand Oaks, CA: Sage Publications.
12. Menard, S. (2002). Applied logistic regression analysis (2nd ed.). Thousand Oaks, CA: Sage Publications. Quantitative Applications in the Social Sciences. Thousand Oaks, CA: Sage Publications.
13. Pampel, F. C. (2000). Logistic regression: A primer. Sage quantitative applications in the social sciences. Thousand Oaks, CA: Sage Publications.
14. Wooldridge, J. M. (2006). Introductory econometrics: A modern approach (3rd ed.). Mason, OH: Thomson/South-Western Publishing.