RWDQ: Work design questionnaire R package authors

Description Usage Format Source Examples

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

1
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

1
2

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.

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