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EFAfactors (version 1.2.2)

data.bfi: 25 Personality Items Representing 5 Factors

Description

This 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.

Arguments

Format

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

Details

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.

References

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.

Examples

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data(data.bfi)
head(data.bfi)

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