opposites: Opposites naming data
In mathijsdeen/ClusterBootstrap: Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap
Description
Usage
Format
References
Description
The opposites dataframe consists of 144 observations within 36 individuals
that completed an inventory that assesses their performance on a timed cognitive task called
"opposites naming".
The dataset does not contain the empirical data within 35 individuals from
the experiment by Willett (1988), but a simulation based on the multilevel model from Singer &
Willett (2003) within 36 individuals.
Usage
1
Format
the following variables are available:
-
Subject: subject indicator
-
Time: a time variable, ranging 0-3
-
COG: cognitive skill, measured once (at time=0)
-
SCORE: score on opposites naming task
References
Willett, J.B. (1988). Questions and answers in the measurement of change. In: E. Rothkopf (Ed.),
Review of research in education (1988-89) (pp. 345-422). Washington, DC: American Educational Research Association.
Singer, J.D., & Willett, J.B. (2003). Applied longitudinal data analysis. Modeling change and event occurence.
NY: Oxford University Press, Inc.
mathijsdeen/ClusterBootstrap documentation built on Feb. 18, 2021, 4:33 a.m.
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Description Usage Format References
Description
The opposites dataframe consists of 144 observations within 36 individuals
that completed an inventory that assesses their performance on a timed cognitive task called
"opposites naming".
The dataset does not contain the empirical data within 35 individuals from the experiment by Willett (1988), but a simulation based on the multilevel model from Singer & Willett (2003) within 36 individuals.
Usage
1 |
Format
the following variables are available:
-
Subject: subject indicator -
Time: a time variable, ranging 0-3 -
COG: cognitive skill, measured once (at time=0) -
SCORE: score on opposites naming task
References
Willett, J.B. (1988). Questions and answers in the measurement of change. In: E. Rothkopf (Ed.), Review of research in education (1988-89) (pp. 345-422). Washington, DC: American Educational Research Association.
Singer, J.D., & Willett, J.B. (2003). Applied longitudinal data analysis. Modeling change and event occurence. NY: Oxford University Press, Inc.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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