RWDQ: Work design questionnaire R package authors

In MPsychoR: Modern Psychometrics with R

Description

Contains the knowledge characteristics subscale of the Work Design Questionnaire (WDQ). Knowledge characteristics include job complexity, information processing, problem solving, skill variety, and specialization.

Usage

data("RWDQ")

Format

A data frame with 1055 individuals and 18 items: job complexity (22-24), information processing (25-27), problem solving (28-31), variety of skills (32-35), specialization (36-39). Item wordings:

wdq_22

The work on R packages requires that I only do one task or activity at a time.

wdq_23

The work on R packages comprises relatively uncomplicated tasks.

wdq_24

The work on R packages involves performing relatively simple tasks.

wdq_25

The work on R packages requires that I engage in a large amount of thinking.

wdq_26

The work on R packages requires me to keep track of more than one thing at a time.

wdq_27

The work on R packages requires me to analyze a lot of information

wdq_28

The work on R packages involves solving problems that have no obvious correct answer.

wdq_29

The work on R packages requires me to be creative.

wdq_30

The work on R packages often involves dealing with problems that I have not encountered before.

wdq_31

The work on R packages requires unique ideas or solutions to problems.

wdq_32

The work on R packages requires data analysis skills.

wdq_33

The work on R packages requires programming skills.

wdq_34

The work on R packages requires technical skills regarding package building and documentation.

wdq_35

The work on R packages requires the use of a number of skills.

wdq_36

The work on R packages is highly specialized in terms of purpose, tasks, or activities.

wdq_37

The tools, procedures, materials, and so forth used to develop R packages are highly specialized in terms of purpose.

wdq_38

The work on R packages requires very specialized knowledge.

wdq_39

The work on R packages requires a depth of expertise.

Source

Mair, P., Hofmann, E., Gruber, K., Zeileis, A., & Hornik, K. (2015) Motivation, values, and work design as drivers of participation in the R open source Project for Statistical Computing. Proceedings of the National Academy of Sciences of the United States of America, 112(48), 14788-14792.

Morgeson, F. P., & Humphrey, S. E. (2006). The Work Design Questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. Journal of Applied Psychology, 91, 1321-1339

Examples

data(RWDQ)
str(RWDQ)

Example output

'data.frame':	1055 obs. of  18 variables:
 $ wdq_22: num  1 1 0 1 0 1 1 1 1 0 ...
 $ wdq_23: num  1 0 0 1 1 1 0 0 0 1 ...
 $ wdq_24: num  1 0 0 1 1 NA 0 0 NA 1 ...
 $ wdq_25: num  1 0 1 1 1 NA 1 0 NA 1 ...
 $ wdq_26: num  0 0 1 1 1 1 0 0 1 0 ...
 $ wdq_27: num  1 0 1 1 1 NA 1 0 NA 0 ...
 $ wdq_28: num  NA NA NA NA NA NA NA NA NA NA ...
 $ wdq_29: num  1 0 1 1 1 NA 1 1 NA 1 ...
 $ wdq_30: num  1 1 1 1 1 1 1 1 1 1 ...
 $ wdq_31: num  1 0 1 0 1 NA 1 1 NA 1 ...
 $ wdq_32: num  1 0 1 0 1 1 1 0 1 1 ...
 $ wdq_33: num  1 0 1 1 1 NA 1 1 NA 1 ...
 $ wdq_34: num  1 0 1 1 1 1 1 1 1 1 ...
 $ wdq_35: num  1 0 1 1 1 1 1 1 1 1 ...
 $ wdq_36: num  1 1 1 1 1 1 1 1 1 1 ...
 $ wdq_37: num  1 1 0 1 1 NA 1 1 NA 1 ...
 $ wdq_38: num  1 0 1 1 1 NA 0 1 NA 1 ...
 $ wdq_39: num  1 0 1 1 1 1 1 1 1 1 ...

MPsychoR documentation built on June 15, 2020, 3 p.m.