Information Technology Reference
In-Depth Information
Stevens, S. S. (1951). Mathematics, mea-
surement, and psychophysics. In S. S.
Stevens (ed.),
Handbook of experi-
mental psychology
(pp. 1-49). New
Yo r k : W i l e y .
Tabachnick, B. G., & Fidell, L. S.
(2001).
Computer-assisted research
design and analysis
. Boston: Allyn and
Bacon.
Tabachnick, B. G., & Fidell, L. S. (2007).
Experimental designs using ANOVA
.
Belmont, CA: Thomson Brooks/Cole.
Thompson, B. (2002). “Statistical,”
“practical,” and “clinical”: How many
kinds of significance do coun-
selors need to consider?
Journal
of Counseling and Development
,
80
,
64-71.
Thompson, B. (2006).
Foundations of
behavioral statistics: An insight-based
approach
. New York: Guilford Press.
Thurstone, L. L. (1927). A law of
comparative judgment.
Psychological
Review
,
34
, 273-286.
Thurstone, L. L. (1928). Attitudes can be
measured.
American Journal of Sociol-
ogy
,
33
, 529-554.
Thurstone, L. L. (1929). Theory of
attitude measurement.
Psychological
Review
,
36
, 222-241.
Thurstone, L. L., & Chave, E. J. (1929).
Themeasurement of attitude
.Chicago:
University of Chicago Press.
Toothaker, L. E. (1993).
Multiple com-
parison procedures
.NewburyPark,
CA: Sage.
Tukey, J. W. (1952). Allowances for var-
ious types of error rates. Unpub-
lished IMS address (cited in Oehlert,
2000).
Weinfurt, K. P. (1995). Multivariate
analysis of variance. In L. G. Grimm
andP.R.Yarnold(Eds.),
Reading
and understanding multivariate statis-
tics
(pp. 245-276). Washington, DC:
American Psychological Association.
Welsch, R. E. (1977). Stepwise multi-
ple comparisons procedures.
Journal
of the American Statistical Association,
72
, 566-575.
Wilcox, R. R. (1987). New designs in
analysis of variance.
Annual Review of
Psychiatry
,
32
, 29-60.
Wilkinson, L., & the Task Force on
Statistical Inference. (1999). Statisti-
cal methods in psychology journals:
Guidelines and explanations.
Ameri-
can Psychologist
, 54, 594-604.
Winer, B. J. (1962).
Statistical princi-
ples in experimental design
.NewYork:
McGraw-Hill.
Winer, B. J. (1971).
Statistical principles
in experimental design
(2nd ed.). New
York: McGraw-Hill.
Winer, B. J. Brown, D. R., & Michels,
K. M. (1991).
Statistical principles in
experimental design
(3rd ed.). New
York: McGraw-Hill.
Yates, F. C. (1937).
The design and anal-
ysis of factorial experiments
.Harpen-
den, England: Imperial Bureau of Soil
Science.