exp_num_dt: Data from an experiment with numeracy and date-time...

In ds4psy: Data Science for Psychologists

Data from an experiment with numeracy and date-time variables.

Description

exp_num_dt is a fictitious dataset describing 1000 non-existing, but surprisingly friendly people.

Usage

exp_num_dt

Format

A table with 1000 cases (rows) and 15 variables (columns).

Details

Codebook

The table contains 15 columns/variables:

• 1. name: Participant initials.

• 2. gender: Self-identified gender.

• 3. bday: Day (within month) of DOB.

• 4. bmonth: Month (within year) of DOB.

• 5. byear: Year of DOB.

• 6. height: Height (in cm).

• 7. blood_type: Blood type.

• 8. bnt_1 to 11. bnt_4: Correct response to BNT question? (1: correct, 0: incorrect).

• 12. g_iq and 13. s_iq: Scores from two IQ tests (general vs. social).

• 14. t_1 and 15. t_2: Start and end time.

exp_num_dt was generated for analyzing test scores (e.g., IQ, numeracy), for converting data from wide into long format, and for dealing with date- and time-related variables.

Source

See CSV data files at http://rpository.com/ds4psy/data/numeracy.csv and http://rpository.com/ds4psy/data/dt.csv.

See Also

Other datasets: Bushisms, Trumpisms, countries, data_1, data_2, data_t1_de, data_t1_tab, data_t1, data_t2, data_t3, data_t4, dt_10, exp_wide, falsePosPsy_all, fame, flowery, fruits, outliers, pi_100k, posPsy_AHI_CESD, posPsy_long, posPsy_p_info, posPsy_wide, t3, t4, t_1, t_2, t_3, t_4, table6, table7, table8, table9, tb

ds4psy documentation built on Sept. 15, 2023, 9:08 a.m.