Saint-Exupéry, A. de. (1943). The little prince. Tr. by Woods,
K. New York: Harcourt Brace Jovanovich.
Sackett, D. L., Deeks, J. J., & Altman, D. G. (1996). Down
with odds ratios! Evidence-Based Medicine, 1 , 164–166.
Satterthwaite, F. E. (1946). An approximate distribution of
estimates of variance components. Biometrics Bulletin, 2 ,
110–114.
Scheffé, H. A. (1953). A method for judging all possible con-
trasts in the analysis of variance. Biometrika, 40 , 87–104.
Scheffé, H. A. (1959). The analysis of variance. New York:
Wiley.
Sedlmeier, P., & Gigerenzer, G. (1989). Do studies of statisti-
cal power have an effect on the power of studies? Psycho-
logical Bulletin, 105 , 309–316.
Seligman, M. E. P, Nolen-Hoeksema, S., Thornton, N., &
Thornton, K. M. (1990). Explanatory style as a mechanism
of disappointing athletic performance. Psychological
Science, 1 , 143–146.
Sgro, J. A., & Weinstock, S. (1963). Effects of delay on subse-
quent running under immediate reinforcement. Journal of
Experimental Psychology, 66 , 260–263.
Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations:
Uses in assessing rater reliability. Psychological Bulletin,
86 , 420–428.
Si ̆dák, Z. (1967). Rectangular confidence regions for the
means of multivariate normal distributions. Journal of the
American Statistical Association, 62 , 623–633.
Siegel, S. (1975). Evidence from rats that morphine tolerance
is a learned response. Journal of Comparative and Physio-
logical Psychology, 80 , 498–506.
Simon, J. L., & Bruce, P. Resampling Stats. Software available
at http://www.resample.com.
Smith, H. F. (1957). Interpretation of adjusted treatment means
and regression in analysis of covariance. Biometrics, 13 ,
282–308.
Smith, M. L., & Glass, G. V. (1977). Meta-analysis of psy-
chotherapy outcome studies. American Psychologist, 32 ,
752–760.
Sobel, M. E. (1982). Asymptotic confidence intervals for indi-
rect effects in structural equation models. In S. Leinhart
(Ed.), Sociological methodology. 1982 (pp. 290–312). San
Francisco: Jossey-Bass.
Spilich, G. J., June, L., & Renner, J. (1992). Cigarette smok-
ing and cognitive performance. British Journal of Addiction
87 , 1313–1326.
St. Lawrence, J. S., Brasfield, T. L., Shirley, A., Jefferson, K. W.,
Alleyne, E., & O’Bannon, R. E. III. (1995). Cognitive-
behavioral intervention to reduce African American adoles-
cents’ risk for HIV infection. Journal of Consulting and
Clinical Psychology, 63 , 221–237.
St. Leger, A. S., Cochrane, A. L., & Moore, F. (1978). The
anomaly that wouldn’t go away. Lancet,ii, 1153.
Steiger, J. H. (1980). Tests for comparing elements of a corre-
lation matrix. Psychological Bulletin, 87 , 245–251.
Steiger, J. H. (2004). Beyond the Ftest: Effect size confidence
intervals and tests of close fit in the analysis of variance and
contrast analysis. Psychological Methods, 9 , 164–182.
Sterling, T. D. (1959). Publication decisions and their possible
effects on inferences drawn from tests of significance or
vice versa. Journal of the American Statistical Association,
54,30–34.
Sternberg, S. (1966). High speed scanning in human memory.
Science, 153 , 652–654.
Stevens, J. (1992). Applied multivariate statistics for the social
sciences. Hillsdale, NJ: Erlbaum.
Stevens, S. S. (1951). Mathematics, measurement, and psy-
chophysics. In S. S. Stevens (Ed.), Handbook of experimen-
tal psychology(pp. 1–49). New York: Wiley.
Stone, W. S., Rudd, R. J, Ragozzino, M. E., & Gold, P. E.
(1992). Glucose attenuation of deficits in memory retrieval
in altered light/dark cycles. Psychobiology, 20 , 47–50.
Strayer, D. L., Drews, F. A., & Crouch, D. J. (2006). A com-
parison of the cell phone driver and the drunk driver. Human
Factors, 48 , 381–391.
Stuetzle, W. (2005). Cross-validation. In Everitt, B. S. &
Howell, D. C. Encyclopedia of Statistics in Behavioral Sci-
ences. Chichester, England: Wiley.
Sullivan, C. M., & Bybee, D. I. (1999). Reducing violence
using community-based advocacy for women with abusive
partners. Journal of Consulting and Clinical Psychology,
67, 43–53.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate
statistics(5th ed.). New York: Harper & Row.
Tiku, M. L. (1967). Tables of the power of the Ftest. Journal
of the American Statistical Association, 62 , 525–539.
Tolman, E. C., Ritchie, B. F., & Kalish, D. (1946). Studies in
spatial learning: I. Orientation and the short cut. Journal of
Experimental Psychology, 36 ,13–24.
Tomarken, A. J., & Serlin, R. C. (1986). Comparison of ANOVA
alternatives under variance heterogeneity and specific non-
centrality structures. Psychological Bulletin, 99 , 90–99.
Toothaker, L. (1991). Multiple comparisons for researchers.
Newbury Park, CA: Sage.
Tufte, E. R. (1983). The visual display of quantitative informa-
tion. Cheshire, CT: Graphics Press.
Tukey, J. W. (1949). One degree of freedom for nonadditivity.
Biometrics, 5 , 232–242.
Tukey, J. W. (1953). The problem of multiple comparisons.
Unpublished manuscript, Princeton University.
Tukey, J. W. (1977). Exploratory data analysis. Reading, MA:
Addison-Wesley.
Tversky, A., & Kahneman, C. (1980). Causal schemata in judg-
ments under uncertainty. In Fishbein, M. (Ed.), Progress in
Social Psychology,Vol. 1. Hillsdale, NJ: Erlbaum.
Unah, I., & Boger, J. (2001). Race and the death penalty in
North Carolina: An empirical analysis: 1993–1997. Avail-
able online at http://www.deathpenaltyinfo.org/article.php?
did=246&scid=
U.S. Department of Commerce. (1977). Social indicators,- (Document #C3.2: S01/2/976). Washington, DC: U. S.
Government Printing Office.
U.S. Department of Justice, Bureau of Justice Statistics.
(1983). Prisoners in 1982, Bulletin NCJ-87933. Washington,
DC: U.S. Government Printing Office.
References 733