Description Usage Format Source Examples
Contains the knowledge characteristics subscale of the Work Design Questionnaire (WDQ). Knowledge characteristics include job complexity, information processing, problem solving, skill variety, and specialization.
1 | data("RWDQ")
|
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.
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
1 2 | |
'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 ...
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.