opposites: Opposites naming data

In ClusterBootstrap: Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap

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

opposites

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.

ClusterBootstrap documentation built on Feb. 16, 2021, 5:06 p.m.