The BFI-2 is a measure of the Big Five personality domains (which we label Extraversion, Agreeableness, Conscientiousness, Negative Emotionality, and Open-Mindedness) and 15 more-specific facet traits. The Big Five personality traits was the model to comprehend the relationship between personality and academic behaviors. This model was defined by several independent sets of researchers who used factor analysis of verbal descriptors of human behavior. These researchers began by studying relationships between a large number of verbal descriptors related to personality traits. They reduced the lists of these descriptors by 5–10 fold and then used factor analysis to group the remaining traits (using data mostly based upon people's estimations, in self-report questionnaire and peer ratings) in order to find the underlying factors of personalityItem numbers for the BFI-2 domain and facet scales are listed below. Reverse-keyed items are denoted by “R.” For more information about the BFI-2, visit the Colby Personality Lab website (http://www.colby.edu/psych/personality-lab/).
Extraversion: 1, 6, 11R, 16R, 21, 26R, 31R, 36R, 41, 46, 51R, 56 Agreeableness: 2, 7, 12R, 17R, 22R, 27, 32, 37R, 42R, 47R, 52, 57 Conscientiousness: 3R, 8R, 13, 18, 23R, 28R, 33, 38, 43, 48R, 53, 58R Negative Emotionality: 4R, 9R, 14, 19, 24R, 29R, 34, 39, 44R, 49R, 54, 59 Open-Mindedness: 5R, 10, 15, 20, 25R, 30R, 35, 40, 45R, 50R, 55R, 60
Sociability: 1, 16R, 31R, 46 Assertiveness: 6, 21, 36R, 51R Energy Level: 11R, 26R, 41, 56 Compassion: 2, 17R, 32, 47R Respectfulness: 7, 22R, 37R, 52 Trust: 12R, 27, 42R, 57 Organization: 3R, 18, 33, 48R Productiveness: 8R, 23R, 38, 53 Responsibility: 13, 28R, 43, 58R Anxiety: 4R, 19, 34, 49R Depression: 9R, 24R, 39, 54 Emotional Volatility: 14, 29R, 44R, 59 Intellectual Curiosity: 10, 25R, 40, 55R Aesthetic Sensitivity: 5R, 20, 35, 50R Creative Imagination: 15, 30R, 45R, 60
| Domain | Factor-pure facet | Complementary facets |
| E | Sociability | Assertiveness, Energy Level |
| A | Compassion | Respectfulness, Trust |
| C | Organization | Productiveness, Responsibility |
| N | Anxiety | Depression, Emotional Volatility |
| O | Aesthetic Sensitivity | Intellectual Curiosity, Creative Imagination |
The package functions expect the data to be named in a specific way, and to not contain data other than the BFI-2 data. Column names should be zero-leading two digits to indicate the question number, and they should end with these two digits. If this system is followed, then all functions work out of the box.
Examples that work:
bfi_01 bfi_02 ... bfi_59 bfi_60
big_five_01 big_five_02 ... big_five_59 bbig_five_60
Examples that won't work
bfi_1 bfi_2 ... bfi_59 bfi_60
big_five_01_trust big_five_02_change ... big_five_59_test bbig_five_60_lat
Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 113(1), 117–143. https://doi.org/10.1037/pspp0000096
bfi_compute(
data,
type = c("domains", "facets"),
keep_all = FALSE,
prefix = "bfi_"
)
bfi_compute_domains(
data,
domains = c("extraversion", "agreeableness", "conscientiousness",
"negative emotionality", "open-mindedness"),
keep_all = FALSE,
prefix = "domain_"
)
bfi_compute_facets(
data,
facets = c("sociability", "assertiveness", "energy", "compassion", "respectful",
"trust", "organization", "productive", "responsibility", "anxiety", "depression",
"emotional volatility", "intellectual curiosity", "aesthetic sensebility",
"creative imagination"),
keep_all = FALSE,
prefix = "facet_"
)data.frame containing bfi data
Choose domains or facets. Default is both
logical, append to data.frame
string to prefix column names of computed values
string vector of domains to compute
string vector of facets to compute
data.frame with calculated scores
bfi_compute_domains(): Compute BFI-2 domains and return in a data.frame
bfi_compute_facets(): Compute BFI-2 domains and return in a data.frame
library(dplyr)
# Making some test data
test_data <- tibble(
id = rep(1:10, each = 60),
name = rep(sprintf("bfi_%02d", 1:60), 10),
value = lapply(1:10, function(x){
sample(1:5, size = 60, replace = TRUE)
}) %>% unlist()
) %>%
tidyr::pivot_wider()
bfi_compute(test_data)
#> bfi_domain_extrav bfi_domain_agree bfi_domain_consc bfi_domain_negem
#> 1 33 33 32 33
#> 2 34 37 38 37
#> 3 34 32 45 32
#> 4 30 35 42 35
#> 5 34 37 40 37
#> 6 41 41 40 41
#> 7 29 29 36 29
#> 8 35 38 34 38
#> 9 30 37 36 37
#> 10 31 34 38 34
#> bfi_domain_openm bfi_facet_sociabi bfi_facet_asserti bfi_facet_energy
#> 1 35 5 18 10
#> 2 48 10 14 10
#> 3 35 13 7 14
#> 4 37 12 11 7
#> 5 39 11 9 14
#> 6 48 13 17 11
#> 7 29 6 13 10
#> 8 38 14 10 11
#> 9 33 11 11 8
#> 10 37 9 15 7
#> bfi_facet_compass bfi_facet_respect bfi_facet_trust bfi_facet_organiz
#> 1 12 9 12 7
#> 2 10 11 16 11
#> 3 10 7 15 18
#> 4 11 10 14 13
#> 5 13 14 10 16
#> 6 15 17 9 12
#> 7 7 8 14 8
#> 8 13 12 13 9
#> 9 13 13 11 14
#> 10 13 10 11 16
#> bfi_facet_product bfi_facet_respons bfi_facet_anxiety bfi_facet_depress
#> 1 12 13 7 12
#> 2 17 10 13 19
#> 3 12 15 12 8
#> 4 12 17 16 9
#> 5 12 12 10 12
#> 6 13 15 16 17
#> 7 17 11 11 9
#> 8 15 10 15 11
#> 9 9 13 6 15
#> 10 8 14 10 11
#> bfi_facet_emovola bfi_facet_intcuri bfi_facet_aessens bfi_facet_cretima
#> 1 16 11 9 18
#> 2 16 11 14 12
#> 3 15 13 13 8
#> 4 12 10 17 10
#> 5 17 12 12 13
#> 6 15 14 12 9
#> 7 9 9 11 11
#> 8 12 15 15 11
#> 9 12 9 15 8
#> 10 16 13 12 13
bfi_compute(test_data, prefix = "bfi_")
#> bfi_domain_extrav bfi_domain_agree bfi_domain_consc bfi_domain_negem
#> 1 33 33 32 33
#> 2 34 37 38 37
#> 3 34 32 45 32
#> 4 30 35 42 35
#> 5 34 37 40 37
#> 6 41 41 40 41
#> 7 29 29 36 29
#> 8 35 38 34 38
#> 9 30 37 36 37
#> 10 31 34 38 34
#> bfi_domain_openm bfi_facet_sociabi bfi_facet_asserti bfi_facet_energy
#> 1 35 5 18 10
#> 2 48 10 14 10
#> 3 35 13 7 14
#> 4 37 12 11 7
#> 5 39 11 9 14
#> 6 48 13 17 11
#> 7 29 6 13 10
#> 8 38 14 10 11
#> 9 33 11 11 8
#> 10 37 9 15 7
#> bfi_facet_compass bfi_facet_respect bfi_facet_trust bfi_facet_organiz
#> 1 12 9 12 7
#> 2 10 11 16 11
#> 3 10 7 15 18
#> 4 11 10 14 13
#> 5 13 14 10 16
#> 6 15 17 9 12
#> 7 7 8 14 8
#> 8 13 12 13 9
#> 9 13 13 11 14
#> 10 13 10 11 16
#> bfi_facet_product bfi_facet_respons bfi_facet_anxiety bfi_facet_depress
#> 1 12 13 7 12
#> 2 17 10 13 19
#> 3 12 15 12 8
#> 4 12 17 16 9
#> 5 12 12 10 12
#> 6 13 15 16 17
#> 7 17 11 11 9
#> 8 15 10 15 11
#> 9 9 13 6 15
#> 10 8 14 10 11
#> bfi_facet_emovola bfi_facet_intcuri bfi_facet_aessens bfi_facet_cretima
#> 1 16 11 9 18
#> 2 16 11 14 12
#> 3 15 13 13 8
#> 4 12 10 17 10
#> 5 17 12 12 13
#> 6 15 14 12 9
#> 7 9 9 11 11
#> 8 12 15 15 11
#> 9 12 9 15 8
#> 10 16 13 12 13