Understanding statistics in the behavioral sciences

Understanding Statistics in the Behavioral Sciences

Volumn , Issue , 2005, Pages 1-363

  Bakeman, Roger ^a   Robinson, Byron F ^a  

^a GEORGIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84909269722     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781410612625     Document Type: Book

References (29)

1. Bakeman, R., & McArthur, D. (1999). Determining the power of multiple regression analyses both with and without repeated measures. Behavior Research Methods, Instruments, and Computers, 31, 150-154.
2. Bakeman, R. & Robinson, B. F. (1994). Understanding log-linear analysis with ILOG: An interactive approach. Hillsdale, NJ: Lawrence Erlbaum Associates.
3. Bishop, Y. M. M., Fienberg, S. E., & Holland, P. W. (1975). Discrete multivariate analysis. Cambridge, MA: MIT press.
4. Cohen, J. (1968). Multiple regression as a general data-analytic system. Psychological Bulletin, 70, 426-443.
5. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associatiates.
6. Cohen, J. (1990). Things I have learned (so far). American Psychologist, 45, 1304-1312.
7. Cohen, J., & Cohen P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
8. Greenhouse, S. W., & Geisser, S. (1959). On methods in the analysis of profile data. Psychometrika, 24, 95-112.
9. Hays, W. L. (1981). Statistics. New York: Holt, Rinehart & Winston.
10. Huynh, H., & Feldt, L. S. (1976). Estimation of the Box correction for degrees of freedom from sample data in randomized block and split-plot designs. Journal of Educational Statistics, 1, 69-82.
11. Keppel, G. (1982). Design and analysis: A researcher's handbook. Englewood Cliffs, NJ: Prentice Hall.
12. Keppel, G., & Saufley, W. H., Jr. (1980). Introduction to design and analysis: A student's handbook. New York: W. H. Freeman.
13. Kessen, W. (1979). The American child and other cultural inventions. American Psychologist, 34, 815-820.
14. Kirk, R. E. (1982). Experimental design: Procedures for the behavioral sciences. Belmont, CA: Brooks/Cole.
15. Loftus, G. R., & Loftus, E. F. (1988). Essence of statistics. New York: Knopf.
16. Marascuilo, L. A., & Serlin, R. C. (1988). Statistical methods for the social and behavioral sciences. New York: W. H. Freeman.
17. Olejnik, S., & Algina, J. (2003). Generalized eta and omega squared statistics: Measures of effect size for some common research designs. Psychological Methods, 8, 434-447.
18. Robinson, B. F., Mervis, C. B., & Robinson, B. W. (2003). The roles of verbal short-term memory and working memory in the acquisition of grammar by children with Williams syndrome. Developmental Neuropsychology, 23, 13-32.
19. Rosnow, R. L., & Rosenthal, R. (1989). Statistical procedures and the justification of knowledge in psychological science. American Psychologist, 44, 1276-1284.
20. Scott, D. W. (1979). On optimal and data-based histograms. Biometrika, 66, 605-610.
21. Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill.
22. Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103, 677-680.
23. Stigler, S. M. (1986). The history of statistics: The measurement of uncertainty before 1900. Cambridge, MA: Harvard University Press.
24. Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston: Allyn and Bacon.
25. Tufte, E. R. (1983). The visual display of quantitative information. Cheshire (CN): Graphics Press.
26. Tukey, J. W. (1977). Exploratory data analysis. Reading (MA): Addison-Wesley.
27. Wainer, H. (1984). How to display data badly. American Statistician, 38, 137-147.
28. Wilkinson, L., & the Task Force on Statistical Inference, American Psychological Association Board of Scientific Affairs (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.
29. Winer, B. J. (1971). Statistical principles in experimental design. New York: McGraw-Hill.