data.bfi.RdThis dataset includes 25 self-report personality items sourced from the International Personality Item Pool (ipip.ori.org) as part of the Synthetic Aperture Personality Assessment (SAPA) web-based personality assessment project. The dataset contains responses from 2,800 examinees. Additionally, three demographic variables (sex, education, and age) are included.
A data frame with 2,800 observations on 28 variables. The variables include:
A1 - Am indifferent to the feelings of others. (q_146)
A2 - Inquire about others’ well-being. (q_1162)
A3 - Know how to comfort others. (g_1206)
A4 - Love children. (g_1364)
A5 - Make people feel at ease. (q_1419)
C1 - Am exacting in my work. (q_124)
C2 - Continue until everything is perfect. (q_530)
C3 - Do things according to a plan. (q_619)
C4 - Do things in a half-way manner. (g_626)
C5 - Waste my time. (g_1949)
E1 - Don't talk a lot. (q_712)
E2 - Find it difficult to approach others. (q_901)
E3 - Know how to captivate people. (q_1205)
E4 - Make friends easily. (q_1410)
E5 - Take charge. (g_1768)
N1 - Get angry easily. (q_952)
N2 - Get irritated easily. (q_974)
N3 - Have frequent mood swings. (q_1099)
N4 - Often feel blue. (g_1479)
N5 - Panic easily. (q_1505)
O1 - Am full of ideas. (q_128)
O2 - Avoid difficult reading material. (g_316)
O3 - Carry the conversation to a higher level. (q_492)
O4 - Spend time reflecting on things. (g_1738)
O5 - Will not probe deeply into a subject. (q_1964)
gender - Gender: Males = 1, Females = 2
education - Education level: 1 = High School, 2 = Finished High School,
3 = Some College, 4 = College Graduate, 5 = Graduate Degree
age - Age in years
The items are from the ipip (Goldberg, 1999). The data are from the SAPA project (Revelle, Wiltand Rosenthal, 2010), collected Spring, 2010(https://www.sapa-project.org/).
The 25 items are organized by five factors: Agreeableness, Conscientiousness, Extraversion,
Neuroticism, and Openness. The scoring key is created using make.keys, and scores are
calculated using score.items. These factors are useful for IRT-based latent factor analysis
of the polychoric correlation matrix. Endorsement plots and item information functions reveal
variations in item quality. Responses were collected on a 6-point scale:
1 = Very Inaccurate, 2 = Moderately Inaccurate, 3 = Slightly Inaccurate, 4 = Slightly Accurate,
5 = Moderately Accurate, 6 = Very Accurate, as part of the Synthetic Aperture Personality Assessment (SAPA)
project (https://www.sapa-project.org/). For examples of data collection techniques, visit
https://www.sapa-project.org/ or the International Cognitive Ability Resource at
https://icar-project.org. The items were sampled from the International Personality Item Pool of
Lewis Goldberg using SAPA sampling techniques. This dataset is a sample from the larger SAPA data bank.
The data.bfi data set and items should not be confused with the BFI (Big Five Inventory) of Oliver Johnand colleagues (John, O. P, Donahue, E. M., & Kentle, R.L. (1991). The Big Five Inventory Versions 4a and 54. Berkeley, CA: University of California, Berkeley, Institute of Personality and Social Research.)
Goldberg, L.R. (1999). A broad-bandwidth, public domain, personality inventory measuring the lower-level facets of several five-factor models. In Mervielde, I., Deary, I., De Fruyt, F., & Ostendorf, F. (Eds.), Personality psychology in Europe (Vol. 7, pp. 7-28). Tilburg University Press.
Revelle, W., Wilt, J., & Rosenthal, A. (2010). Individual Differences in Cognition: New Methods for Examining the Personality-Cognition Link. In Gruszka, A., Matthews, G., & Szymura, B. (Eds.), Handbook of Individual Differences in Cognition: Attention, Memory and Executive Control (pp. 117-144). Springer.
Revelle, W., Condon, D., Wilt, J., French, J.A., Brown, A., & Elleman, L.G. (2016). Web and phone-based data collection using planned missing designs. In Fielding, N.G., Lee, R.M., & Blank, G. (Eds.), SAGE Handbook of Online Research Methods (2nd ed., pp. 100-116). Sage Publications.
data(data.bfi)
head(data.bfi)
#> A1 A2 A3 A4 A5 C1 C2 C3 C4 C5 E1 E2 E3 E4 E5 N1 N2 N3 N4 N5 O1 O2 O3 O4
#> 61617 2 4 3 4 4 2 3 3 4 4 3 3 3 4 4 3 4 2 2 3 3 6 3 4
#> 61618 2 4 5 2 5 5 4 4 3 4 1 1 6 4 3 3 3 3 5 5 4 2 4 3
#> 61620 5 4 5 4 4 4 5 4 2 5 2 4 4 4 5 4 5 4 2 3 4 2 5 5
#> 61621 4 4 6 5 5 4 4 3 5 5 5 3 4 4 4 2 5 2 4 1 3 3 4 3
#> 61622 2 3 3 4 5 4 4 5 3 2 2 2 5 4 5 2 3 4 4 3 3 3 4 3
#> 61623 6 6 5 6 5 6 6 6 1 3 2 1 6 5 6 3 5 2 2 3 4 3 5 6
#> O5 gender education age
#> 61617 3 1 NA 16
#> 61618 3 2 NA 18
#> 61620 2 2 NA 17
#> 61621 5 2 NA 17
#> 61622 3 1 NA 17
#> 61623 1 2 3 21