Please cite these data with the following reference:

Condon, D. M., Coughlin, J., & Weston, S. J. (2022). Personality Trait Descriptors: 2,818 Trait Descriptive Adjectives characterized by familiarity, frequency of use, and prior use in psycholexical research. Journal of Open Psychology Data.

Here we present codebook information for the demographic variables including summary statistics and distributions for each. Note that codebook information for the 5,636 vocabulary items has been omitted as this would compromise their validity for subsequent use. Contact the lead author of the reference above for access to this information.

The data can be downloaded here. NOTE that the csv version of these data will mis-read two adjectives when opened in MS Excel: “false” and “blasé”. These must be fixed manually prior to working with the data in Excel (but it appears to work as expected in R).

Please consult the reference listed above for more information about this project.

Metadata

Description

Dataset name: Trait descriptive adjectives (scored)

The dataset has N=3540 rows and 11 columns. 3320 rows have no missing values on any column.

Metadata for search engines

Temporal Coverage: Spring 2020 and Spring 2021
Spatial Coverage: Online
Date published: 2022-01-04
Creator:

name	value
1	David Condon, Joshua Coughlin, Sara Weston

x
source
english
growup
live
state
age
sex
edu
ethnic
hhinc
prop_correct

#Variables

source

The participant recruitment platform from which the data were sourced.

Distribution

Distribution of values for source

12 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
source	The participant recruitment platform from which the data were sourced.	character	12	0.9966102	2	0	5	8	0

english

How well do you speak English?

Distribution

Distribution of values for english

18 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
english	How well do you speak English?	factor	FALSE	1. Very well (fluent/native), 2. Well, 3. Not well, 4. Not at all (Need translation)	18	0.9949153	4	Ver: 3391, Wel: 126, Not: 4, Not: 1

growup

Where did you grow up?

Distribution

Distribution of values for growup

20 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
growup	Where did you grow up?	factor	FALSE	1. United States of America, 2. Outside of the US	20	0.9943503	2	Uni: 3422, Out: 98

live

Do you currently live in one of the 50 states of the USA or the District of Columbia?

Distribution

Distribution of values for live

23 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
live	Do you currently live in one of the 50 states of the USA or the District of Columbia?	factor	FALSE	1. Yes, 2. No	23	0.9935028	2	Yes: 3409, No: 108

state

Please select the state where you currently live (or spend the most time).

Distribution

## 49  unique, categorical values, so not shown.

133 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
state	Please select the state where you currently live (or spend the most time).	factor	FALSE	1. Alabama, 2. Alaska, 3. Arizona, 4. Arkansas, 5. California, 6. Colorado, 7. Connecticut, 8. Delaware, 9. District of Columbia, 10. Florida, 11. Georgia, 12. Hawaii, 13. Idaho, 14. Illinois, 15. Indiana, 16. Iowa, 17. Kansas, 18. Kentucky, 19. Louisiana, 20. Maine, 21. Maryland, 22. Massachusetts, 23. Michigan, 24. Minnesota, 25. Mississippi, 26. Missouri, 27. Montana, 28. Nebraska, 29. Nevada, 30. New Hampshire, 31. New Jersey, 32. New Mexico, 33. New York, 34. North Carolina, 35. North Dakota, 36. Ohio, 37. Oklahoma, 38. Oregon, 39. Pennsylvania, 40. Rhode Island, 41. South Carolina, 42. South Dakota, 43. Tennessee, 44. Texas, 45. Utah, 46. Vermont, 47. Virginia, 48. Washington, 49. West Virginia, 50. Wisconsin, 51. Wyoming	133	0.9624294	49	Cal: 373, Tex: 256, Flo: 249, New: 249

age

Age (in years).

Distribution

Distribution of values for age

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	Age (in years).	numeric	31	0.9912429	18	40	82	41.53149	15.46967	▇▇▆▅▁

sex

Biological sex at birth.

Distribution

Distribution of values for sex

31 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
sex	Biological sex at birth.	factor	FALSE	1. Male, 2. Female, 3. Other, 4. Prefer not to say	31	0.9912429	3	Fem: 1840, Mal: 1662, Oth: 7, Pre: 0

edu

Level of education.

Distribution

Distribution of values for edu

31 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
edu	Level of education.	factor	FALSE	1. Less than 12 years, 2. High school grad/GED, 3. Currently in college/university, 4. Some college/university, but did not graduate, 5. Associate degree (2 yr), 6. College/university degree (4 yr), 7. Currently in grad/professional school, 8. Grad/professional degree	31	0.9912429	8	Som: 1468, Hig: 1388, Cur: 307, Ass: 137

ethnic

Racial or ethnic background.

Distribution

Distribution of values for ethnic

33 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
ethnic	Racial or ethnic background.	factor	FALSE	1. American Indian/Alaskan Native, 2. Asian, 3. Black, 4. Hispanic, 5. White, 6. Mixed (two or more), 7. Other	33	0.990678	7	Whi: 2556, Bla: 371, Asi: 218, His: 179

hhinc

Household income.

Distribution

Distribution of values for hhinc

33 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
hhinc	Household income.	factor	FALSE	1. < 20K, 2. 20K-40K, 3. 40K-60K, 4. 60K-80K, 5. 80K-100K, 6. 100K-120K, 7. 120K-150K, 8. 150K-200K, 9. 200K-250K, 10. 250K-350K, 11. 350K-500K, 12. > 500K, 13. Prefer not to say	33	0.990678	13	20K: 959, &lt: 723, 40K: 630, 60K: 448

prop_correct

Proportion of correct responses.

Distribution

Distribution of values for prop_correct

192 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
prop_correct	Proportion of correct responses.	numeric	192	0.9457627	0	0.77	1	0.7223072	0.1961658	▁▁▂▇▇

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Trait descriptive adjectives (scored)",
  "creator": "David Condon, Joshua Coughlin, Sara Weston",
  "temporalCoverage": "Spring 2020 and Spring 2021",
  "spatialCoverage": "Online",
  "datePublished": "2022-01-04",
  "description": "The dataset has N=3540 rows and 11 columns.\n3320 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name         |label                                                                                 | n_missing|\n|:------------|:-------------------------------------------------------------------------------------|---------:|\n|source       |The participant recruitment platform from which the data were sourced.                |        12|\n|english      |How well do you speak English?                                                        |        18|\n|growup       |Where did you grow up?                                                                |        20|\n|live         |Do you currently live in one of the 50 states of the USA or the District of Columbia? |        23|\n|state        |Please select the state where you currently live (or spend the most time).            |       133|\n|age          |Age (in years).                                                                       |        31|\n|sex          |Biological sex at birth.                                                              |        31|\n|edu          |Level of education.                                                                   |        31|\n|ethnic       |Racial or ethnic background.                                                          |        33|\n|hhinc        |Household income.                                                                     |        33|\n|prop_correct |Proportion of correct responses.                                                      |       192|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["source", "english", "growup", "live", "state", "age", "sex", "edu", "ethnic", "hhinc", "prop_correct"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "source",
      "description": "The participant recruitment platform from which the data were sourced.",
      "@type": "propertyValue"
    },
    {
      "name": "english",
      "description": "How well do you speak English?",
      "value": "1. Very well (fluent/native),\n2. Well,\n3. Not well,\n4. Not at all (Need translation)",
      "@type": "propertyValue"
    },
    {
      "name": "growup",
      "description": "Where did you grow up?",
      "value": "1. United States of America,\n2. Outside of the US",
      "@type": "propertyValue"
    },
    {
      "name": "live",
      "description": "Do you currently live in one of the 50 states of the USA or the District of Columbia?",
      "value": "1. Yes,\n2. No",
      "@type": "propertyValue"
    },
    {
      "name": "state",
      "description": "Please select the state where you currently live (or spend the most time).",
      "value": "1. Alabama,\n2. Alaska,\n3. Arizona,\n4. Arkansas,\n5. California,\n6. Colorado,\n7. Connecticut,\n8. Delaware,\n9. District of Columbia,\n10. Florida,\n11. Georgia,\n12. Hawaii,\n13. Idaho,\n14. Illinois,\n15. Indiana,\n16. Iowa,\n17. Kansas,\n18. Kentucky,\n19. Louisiana,\n20. Maine,\n21. Maryland,\n22. Massachusetts,\n23. Michigan,\n24. Minnesota,\n25. Mississippi,\n26. Missouri,\n27. Montana,\n28. Nebraska,\n29. Nevada,\n30. New Hampshire,\n31. New Jersey,\n32. New Mexico,\n33. New York,\n34. North Carolina,\n35. North Dakota,\n36. Ohio,\n37. Oklahoma,\n38. Oregon,\n39. Pennsylvania,\n40. Rhode Island,\n41. South Carolina,\n42. South Dakota,\n43. Tennessee,\n44. Texas,\n45. Utah,\n46. Vermont,\n47. Virginia,\n48. Washington,\n49. West Virginia,\n50. Wisconsin,\n51. Wyoming",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Age (in years).",
      "@type": "propertyValue"
    },
    {
      "name": "sex",
      "description": "Biological sex at birth.",
      "value": "1. Male,\n2. Female,\n3. Other,\n4. Prefer not to say",
      "@type": "propertyValue"
    },
    {
      "name": "edu",
      "description": "Level of education.",
      "value": "1. Less than 12 years,\n2. High school grad/GED,\n3. Currently in college/university,\n4. Some college/university, but did not graduate,\n5. Associate degree (2 yr),\n6. College/university degree (4 yr),\n7. Currently in grad/professional school,\n8. Grad/professional degree",
      "@type": "propertyValue"
    },
    {
      "name": "ethnic",
      "description": "Racial or ethnic background.",
      "value": "1. American Indian/Alaskan Native,\n2. Asian,\n3. Black,\n4. Hispanic,\n5. White,\n6. Mixed (two or more),\n7. Other",
      "@type": "propertyValue"
    },
    {
      "name": "hhinc",
      "description": "Household income.",
      "value": "1. < 20K,\n2. 20K-40K,\n3. 40K-60K,\n4. 60K-80K,\n5. 80K-100K,\n6. 100K-120K,\n7. 120K-150K,\n8. 150K-200K,\n9. 200K-250K,\n10. 250K-350K,\n11. 350K-500K,\n12. > 500K,\n13. Prefer not to say",
      "@type": "propertyValue"
    },
    {
      "name": "prop_correct",
      "description": "Proportion of correct responses.",
      "@type": "propertyValue"
    }
  ]
}`

Data codebook

Last updated 2022-01-04

Metadata

Description

source

Distribution

Summary statistics

english

Distribution

Summary statistics

growup

Distribution

Summary statistics

live

Distribution

Summary statistics

state

Distribution

Summary statistics

age

Distribution

Summary statistics

sex

Distribution

Summary statistics

edu

Distribution

Summary statistics

ethnic

Distribution

Summary statistics

hhinc

Distribution

Summary statistics

prop_correct

Distribution

Summary statistics

Missingness report

Codebook table