A data frame with 34 observations on the following 2 variables.
state
a factor with levels ALARAZCACOCTDEFLGAHIIAIDINKYLAMDMIMNNCNDNENHNJNMNYOHOKPARITXVAWIWVWY
p
a numeric vector
mourning
A data frame with 9 observations on the following 3 variables.
stance
a factor with levels No standOpponentSupporter
grade
a factor with levels G11-12G7-8G9-10
p
a numeric vector
rosenthal
A data frame with 5 observations on the following 3 variables.
t
A numeric vector of values of t
df
a numeric vector of degrees of freedom
p
a numeric vector of one sided p values
teachexpect
A vector of length 19
validity
A vector of length 20
Details
beckerp
Hypothetical p values from Becker
cholest
p-values from studies of cholesterol
lowering from Sutton
edgington
Hypothetical p values from Edgington
mourning
Results from a study of mourning practices of Israeli
youth from Benjamini
naep
Results on the National Assessment
of Educational Progress from Benjamini
rosenthal
Hypothetical example from Rosenthal
teachexpect
p-values from studies of the effect of
manipulating teacher expectancy from Becker
validity
p-values from studies of validity of
student ratings from Becker
References
Becker, B J. Combining significance levels. In
Cooper, H and Hedges, L V, editors
A handbook of research synthesis,
chapter 15, pages 215–230.
Russell Sage,
New York, 1994.
Benjamini, Y and Hochberg, Y.
On the adaptive control of the false disovery rate in
multiple testing with independent statistics.
Journal of Educational and Behavioral Statistics,
25: 60–83, 2000.
Edgington, E S.
An additive method for combining probability values from
independent experiments.
Journal of Psychology,
80:351-363, 1972.
Rosenthal, R. Combining the results of independent studies.
Psychological Bulletin,
85:185–193, 1978.
Sutton A J, Abrams, K R, Jones D R, Sheldon T A and Song, F.
Methods for meta-analysis in medical research.
Wiley, Chichester, 2000.