tankdat: Tank data from Bliese and Lang (2016)

In multilevel: Multilevel Functions

Tank data from Bliese and Lang (2016)

Description

A partial sample of data collected by Lang and reported in Lang and Bliese (2009). The tankdat sub-sample was used as an example of discontinuous growth modeling in Bliese and Lang (2016). The data set is in long (univariate) format, and contains performance data from 184 participants over 12 repeated measures on a complex tank simulation task. In the research paradigm, the task was unexpectedly changed after the first six performance episodes. Discontinuous growth models were used to examine participants' reactions to the unexpected change. The data set contains the person-level predictor of conscientiousness.

Usage

data(tankdat)

Format

A dataframe with 4 columns and 2208 observations

[,1]	ID	numeric	Participant ID
[,2]	CONSC	numeric	Participant Conscientiousness
[,3]	TIME	numeric	Time
[,4]	SCORE	numeric	Task Performance

References

Bliese, P. D., & Lang, J. W. B. (2016). Understanding relative and absolute change in discontinuous growth models: Coding alternatives and implications for hypothesis testing. Organizational Research Methods, 19, 562-592.

Lang, J. W. B., & Bliese, P. D. (2009). General mental ability and two types of adaptation to unforeseen change: Applying discontinuous growth models to the task-change paradigm. Journal of Applied Psychology, 92, 411-428.

multilevel documentation built on March 18, 2022, 5:47 p.m.