TIPI {heplots}

Data on the Ten Item Personality Inventory

Description

The Ten Item Personality Inventory (Gosling et al. 2003) is a brief inventory of the Big Five personality domains (Extraversion, Neuroticism, Conscientiousness, Agreeableness, and Openness to experience). This dataset, originally from the Open Source Psychometrics Project (https://openpsychometrics.org/), was used by Jones et al. (2020), from which we obtained this version.

Format

A data frame with 1799 observations on the following 16 variables.

Extraversion

a numeric vector

Neuroticism

a numeric vector

Conscientiousness

a numeric vector

Agreeableness

a numeric vector

Openness

a numeric vector

education

an ordered factor with levels <HS < HS < Univ < Grad

urban

an ordered factor with levels Rural < Suburban < Urban

gender

a factor with levels M F

engnat

a factor with levels Native Non-native

age

a numeric vector

religion

a factor with levels Agnostic Atheist Buddhist Christian (Catholic) Christian (Mormon) Christian (Protestant) Christian (Other) Hindu Jewish Muslim Sikh Other

orientation

a factor with levels Heterosexual Bisexual Homosexual Asexual Other

race

a factor with levels Asian Arab Black Indig-White Other

voted

a factor with levels Yes No

married

a factor with levels Never married Currently married Previously married

familysize

a numeric vector

Details

In addition to scores on the Big Five scales, the dataset contains 11 demographic variables on the participants, potentially useful in multivariate analyses.

Scores on each personality domain were calculated by averaging items assigned to each domain (after reverse scoring specific items). In this version, total scores for each scale were calculated by averaging the positively and negatively coded items, for example, TIPI$Extraversion <- (TIPI$E + (8-TIPI$E_r))/2.

Then, for the present purposes, some tidying was done:

• 100 cases with 'gender=="Other" were deleted;

• codes for levels of 'education', 'engnat' and 'race' were abbreviated for ease of use in graphics.

Source

Jones, P.J., Mair, P., Simon, T. et al. (2020). Network Trees: A Method for Recursively Partitioning Covariance Structures. Psychometrika, 85, 926?945. https://doi.org/10.1007/s11336-020-09731-4

References

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.

Examples

data(TIPI)
# fit an mlm
tipi.mlm <- lm(cbind(Extraversion, Neuroticism, Conscientiousness, Agreeableness, Openness) 
               ~ engnat + gender + education, data = TIPI )
car::Anova(tipi.mlm)

heplot(tipi.mlm, fill=TRUE, fill.alpha=0.1)

pairs(tipi.mlm, fill=TRUE, fill.alpha=0.1)

# candisc works best for factors with >2 levels
library(candisc)
tipi.can <- candisc(tipi.mlm, term="education")
tipi.can

heplot(tipi.can, fill=TRUE, fill.alpha=0.1, 
       var.col = "darkred", var.cex = 1.5, var.lwd = 3)