holland: Holland Occupational Themes
In Rkabacoff/qacr: Functions to Facilitate Data Science Projects

Description Usage Format Details Source Examples

RIASEC/Holland Code test

holland

A data frame with 18231 rows and 68 variables:

R1: Test the quality of parts before shipment
R2: Lay brick or tile
R3: Work on an offshore oil-drilling rig
R4: Assemble electronic parts
R5: Operate a grinding machine in a factory
R6: Fix a broken faucet
R7: Assemble products in a factory
R8: Install flooring in houses
I1: Study the structure of the human body
I2: Study animal behavior
I3: Do research on plants or animals
I4: Develop a new medical treatment or procedure
I5: Conduct biological research
I6: Study whales and other types of marine life
I7: Work in a biology lab
I8: Make a map of the bottom of an ocean
A1: Conduct a musical choir
A2: Direct a play
A3: Design artwork for magazines
A4: Write a song
A5: Write books or plays
A6: Play a musical instrument
A7: Perform stunts for a movie or television show
A8: Design sets for plays
S1: Give career guidance to people
S2: Do volunteer work at a non-profit organization
S3: Help people who have problems with drugs or alcohol
S4: Teach an individual an exercise routine
S5: Help people with family-related problems
S6: Supervise the activities of children at a camp
S7: Teach children how to read
S8: Help elderly people with their daily activities
E1: Sell restaurant franchises to individuals
E2: Sell merchandise at a department store
E3: Manage the operations of a hotel
E4: Operate a beauty salon or barber shop
E5: Manage a department within a large company
E6: Manage a clothing store
E7: Sell houses
E8: Run a toy store
C1: Generate the monthly payroll checks for an office
C2: Inventory supplies using a hand-held computer
C3: Use a computer program to generate customer bills
C4: Maintain employee records
C5: Compute and record statistical and other numerical data
C6: Operate a calculator
C7: Handle customers' bank transactions
C8: Keep shipping and receiving records
TIPI1: Extraverted, enthusiastic.
TIPI2: Critical, quarrelsome.
TIPI3: Dependable, self-disciplined.
TIPI4: Anxious, easily upset.
TIPI5: Open to new experiences, complex.
TIPI6: Reserved, quiet.
TIPI7: Sympathetic, warm.
TIPI8: Disorganized, careless.
TIPI9: Calm, emotionally stable.
TIPI10: Conventional, uncreative.
education: factor. How much education have you completed?
urban: factor. What type of area did you live when you were a child?
gender: factor. What is your gender?
age: integer. Age in years.
hand: factor. What hand do you use to write with?
religion: factor. What is your religion?
voted: factor. Have you voted in a national election in the past year?
married: factor. What is your marital status?.
familysize: integer. Including you, how many children did your mother have?
major: factor. If you attended a university, what was your major?

This is a nonrandom subset of the larger online data collected between 2015-2018. The sample has been restricted to a US sample with the most commonly identified majors and religions. Not all variables were selected.

The RIASEC has 48 items, rated on a 1-5 scale of how much they would like to perform that task, with the labels 1=Dislike, 3=Neutral, 5=Enjoy. The form 6 scales:

Realistic: Doer - prefers technical, outdoor and athletic pursuits
Investigative: Thinker - prefers scientific, research and intellectual pursuits
Artistic: Creator - prefers creative, imaginative and intuitive pursuits
Social: Helper - prefers helping, and developing and interpersonal pursuits
Enterprising: Persuader - prefers leadership, influencing and persuasive pursuits
Conventional: Organizer - prefers data management, numerical and organizational pursuits

TIPI1 through TIPI10 are the Ten Item Personality Inventory (see Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. (2003). A Very Brief Measure of the Big Five Personality Domains. Journal of Research in Personality, 37, 504-528.).

The TIPI items were rated "I see myself as:" _____ from 1 = Disagree strongly to 7=Agree strongly.

Dataset obtained from the Open-Source Psychometrics Project.