Cohen, J. (1962). The statistical power of abnormal-social psy-
chological research: A review. Journal of Abnormal and
Social Psychology, 65 , 145–153.
Cohen, J. (1965). Some statistical issues in psychological
research. In B. B. Wolman (Ed.), Handbook of clinical psy-
chology. New York: McGraw-Hill.
Cohen, J. (1968). Multiple regression as a general data-analytic
system. Psychological Bulletin, 70 , 426–443.
Cohen, J. (1969). Statistical power analysis for the behavioral
sciences (1st ed.). Hillsdale, NJ: Erlbaum.
Cohen, J. (1973). Eta-squared and partial eta-squared in fixed
factor ANOVA designs. Educational and Psychological
Measurement, 33 , 107–112.
Cohen, J. (1988). Statistical power analysis for the behavioral
sciences (2nd ed.). New York: Academic Press.
Cohen, J. (1992a). A power primer. Psychological Bulletin,
112 , 155–159.
Cohen, J. (1992b). Statistical power analysis. Current Direc-
tions in Psychological Science, 1 , 98–101.
Cohen, J., & Cohen, P. (1983). Applied multiple regression/
correlation analysis for the behavioral sciences. Hillsdale,
NJ: Erlbaum.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003).
Applied multiple regression/correlation analysis for the
behavioral sciences(3rd ed.). Mahwah, N J: Erlbaum.
Cohen, S., Kaplan, J. R., Cunnick, J. E., Manuck, S. B., &
Rabin, B. S. (1992). Chronic social stress, affiliation, and
cellular immune response in nonhuman primates. Psycho-
logical Science, 3 , 301–304.
Collier, R. O., Jr., Baker, F. B., & Mandeville, G. K. (1967).
Tests of hypotheses in a repeated measures design from a
permutation viewpoint. Psychometrika, 32 , 15–24.
Collier, R. O., Jr., Baker, F. B., Mandeville, G. K., & Hayes, T. F.
(1967). Estimates of test size for several test procedures based
on conventional variance ratios in the repeated measures
design. Psychometrika, 32 , 339–353.
Compas, B. E., Howell, D. C., Phares, V., Williams, R. A., &
Giunta, C. (1989). Risk factors for emotional/behavioral
problems in young adolescents: A prospective analysis of
adolescent and parental stress symptoms. Journal of Con-
sulting and Clinical Psychology, 57 , 732–740.
Compas, B. E., Worsham, N. S., Grant, K., Mireault, G., Howell,
D. C., & Malcarne, V. L. (1994). When mom or dad has can-
cer: I. Symptoms of depression and anxiety in cancer patients,
spouses, and children. Health Psychology, 13 , 507–515.
Conti, L., & Musty, R. E. (1984). The effects of delta-
9tetrahydrocannabinol injections to the nucleus accumbens
on the locomotor activity of rats. In S. Aquell et al. (Eds.),
The cannabinoids: Chemical,pharmacologic,and thera-
peutic aspects. New York: Academic Press.
Cooley, W. W., & Lohnes, P. R. (1971). Multivariate data
analysis. New York: Wiley.
Craik, F. I. M., & Lockhart, R. S. (1972). Levels of processing:
A framework for memory research, Journal of Verbal
Learning and Verbal Behavior, 11 , 671–684.
Cramer, E. M., & Appelbaum, M. I. (1980). Nonorthogonal
analysis of variance-Once again. Psychological Bulletin, 87 ,
51–57.
Cramér, H. (1946). Mathematical methods of statistics. Prince-
ton, NJ: Princeton University Press.
Czitrom, V. (1999). One-factor-at-a-time versus designed
experiments. American Statistician, 53 , 126–131.
Dabbs, J. M., Jr., & Morris, R. (1990). Testosterone, social
class, and antisocial behavior in a sample of 4462 men. Psy-
chological Science, 1 , 209–211.
D’Agostino, R. B., & Stephens, M. A. (1986). Goodness-of-fit
techniques. New York: Marcel Dekker.
Darley, J. M., & Latané B. (1968). Bystander intervention in
emergencies: Diffusion of responsibility. Journal of Person-
ality and Social Psychology, 8 , 377–383.
Darlington, R. B. (1968). Multiple regression in psychological
research and practice. Psychological Bulletin, 69 , 161–182.
Darlington, R. B. (1990). Regression and linear models. New
York: McGraw-Hill.
Dawes, R. M., & Corrigan, B. (1974). Linear models in deci-
sion making. Psychological Bulletin, 81 , 95–106.
Delucchi, K. L. (1983). The use and misuse of chi-square:
Lewis and Burke revisited. Psychological Bulletin, 94 ,
166–176.
Derogatis, L. R. (1983). SCL90-R: Administration,scoring,
and procedures manual (vol. 1.). Towson, MD: Clinical
Psychometric Research.
Dodd, D. H., & Schultz, R. F., Jr. (1973). Computational pro-
cedures for estimating magnitude of effect for some analy-
sis of variance designs. Psychological Bulletin, 79 ,
391–395.
Doob, A. N., & Gross, A. E. (1968). Status of frustrator as an
inhibitor of horn-honking responses. Journal of Social Psy-
chology, 76 , 213–218.
Draper, N. R., & Smith, H. (1981). Applied regression analy-
sis (2nd ed.). New York: Wiley.
Dunn, O. J. (1961). Multiple comparisons among means, Jour-
nal of the American Statistical Association, 56 , 52–64.
Dunnett, C. W. (1955). A multiple comparison procedure for
comparing several treatments with a control. Journal of the
American Statistical Association, 50 , 1096–1121.
Dunnett, C. W. (1964). New tables for multiple comparisons
with a control. Biometrics, 20 , 482–491.
Dunning, T., & Freedman, D. A. (2008). Modeling selection
effects. In Outhwaite, W. & Turner, S. P. The Sage handbook
of social science methodology (pp. 225–231). London: Sage.
Edgington, E. S. (1995). Randomization tests. New York:
Marcel Dekker.
Edwards, A. L. (1985). Experimental design in psychological
research (5th ed.). New York: Harper & Row.
Efron, B., & Tibshirani, R. (1993). An introduction to the boot-
strap.New York: Chapman and Hall.
Einot, I., & Gabriel, K. R. (1975). A study of the powers of
several methods of multiple comparisons. Journal of the
American Statistical Association, 70 , 574–583.References 727