Four assumptions of multiple regression that researchers should always test

Practical Assessment, Research and Evaluation

Volumn 8, Issue 2, 2003, Pages

  Osborne, Jason W ^a   Waters, Elaine ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84893478675     PISSN: None     EISSN: 15317714     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Berry, W. D., & Feldman, S. (1985). Multiple Regression in Practice. Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-050). Newbury Park, CA: Sage.
2. Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
3. Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York: McGraw Hill.
4. Osborne, J. W., Christensen, W. R., & Gunter, J. (April, 2001). Educational Psychology from a Statistician's Perspective: A Review of the Power and Goodness of Educational Psychology Research. Paper presented at the national meeting of the American Education Research Association (AERA), Seattle, WA.
5. Osborne, J. W. (2001). A new look at outliers and fringeliers: Their effects on statistic accuracy and Type I and Type II error rates. Unpublished manuscript, Department of Educational Research and Leadership and Counselor Education, North Carolina State University.
6. Pedhazur, E. J., (1997). Multiple Regression in Behavioral Research (3rd ed.). Orlando, FL:Harcourt Brace.
7. Tabachnick, B. G., Fidell, L. S. (1996). Using Multivariate Statistics (3rd ed.). New York: Harper Collins College Publishers
8. Tabachnick, B. G., Fidell, L. S. (2001). Using Multivariate Statistics (4th ed.). Needham Heights, MA: Allyn and Bacon