MPsychoR (version 0.10-8)

RWDQ: Work design questionnaire R package authors

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.

Examples

# NOT RUN {
data(RWDQ)
str(RWDQ)
# }