# Codebook example with formr.org data

#### Ruben Arslan

#### 2024-12-23

In this vignette, you can see what a codebook generated from a dataset with rich metadata looks like. This dataset includes mock data for a short German Big Five personality inventory and an age variable. The dataset follows the format created when importing data from formr.org. However, data imported using the `haven` package uses similar metadata. You can also add such metadata yourself, or use the codebook package for unannotated datasets.

As you can see below, the `codebook` package automatically computes reliabilities for multi-item inventories, generates nicely labelled plots and outputs summary statistics. The same information is also stored in a table, which you can export to various formats. Additionally, `codebook` can show you different kinds of (labelled) missing values, and show you common missingness patterns. As you cannot see, but search engines will, the `codebook` package also generates JSON-LD metadata for the dataset. If you share your codebook as an HTML file online, this metadata should make it easier for others to find your data. See what Google sees here.

    knit_by_pkgdown <- !is.null(knitr::opts_chunk$get("fig.retina"))
    knitr::opts_chunk$set(warning = FALSE, message = TRUE, error = FALSE)
    ggplot2::theme_set(ggplot2::theme_bw())

    library(codebook)
    data("bfi", package = 'codebook')
    if (!knit_by_pkgdown) {
      library(dplyr)
        bfi <- bfi %>% select(-starts_with("BFIK_extra"),
                            -starts_with("BFIK_open"),
                            -starts_with("BFIK_consc"))
    }
    set.seed(1)
    bfi$age <- rpois(nrow(bfi), 30)
    library(labelled)
    var_label(bfi$age) <- "Alter"

By default, we only set the required metadata attributes `name` and `description` to sensible values. However, there is a number of attributes you can set to describe the data better. Find out more.

    metadata(bfi)$name <- "MOCK Big Five Inventory dataset (German metadata demo)"
    metadata(bfi)$description <- "a small mock Big Five Inventory dataset"
    metadata(bfi)$identifier <- "doi:10.5281/zenodo.1326520"
    metadata(bfi)$datePublished <- "2016-06-01"
    metadata(bfi)$creator <- list(
          "@type" = "Person",
          givenName = "Ruben", familyName = "Arslan",
          email = "ruben.arslan@gmail.com",
          affiliation = list("@type" = "Organization",
            name = "MPI Human Development, Berlin"))
    metadata(bfi)$citation <- "Arslan (2016). Mock BFI data."
    metadata(bfi)$url <- "https://rubenarslan.github.io/codebook/articles/codebook.html"
    metadata(bfi)$temporalCoverage <- "2016"
    metadata(bfi)$spatialCoverage <- "Goettingen, Germany"

    # We don't want to look at the code in the codebook.
    knitr::opts_chunk$set(warning = TRUE, message = TRUE, echo = FALSE)

### Metadata

#### Description

Dataset name: MOCK Big Five Inventory dataset (German metadata demo)

a small mock Big Five Inventory dataset

Metadata for search engines

- Temporal Coverage: 2016

- Spatial Coverage: Goettingen, Germany

- Citation: Arslan (2016). Mock BFI data.

- URL: https://rubenarslan.github.io/codebook/articles/codebook.html

- Identifier: doi:10.5281/zenodo.1326520

- Date published: 2016-06-01

- Creator:

name | value
--- | ---
@type | Person
givenName | Ruben
familyName | Arslan
email | ruben.arslan@gmail.com
affiliation | Organization , MPI Human Development, Berlin

x
session
created
modified
ended
expired
BFIK_agree_4R
BFIK_agree_1R
BFIK_neuro_2R
BFIK_agree_3R
BFIK_neuro_3
BFIK_neuro_4
BFIK_agree_2
BFIK_agree
BFIK_neuro
age

### Survey overview

28 completed rows, 28 who entered any information, 0 only viewed the first page. There are 0 expired rows (people who did not finish filling out in the requested time frame). In total, there are 28 rows including unfinished and expired rows.

There were 28 unique participants, of which 28 finished filling out at least one survey.

This survey was not repeated.

The first session started on 2016-07-08 09:54:16, the last session on 2016-11-02 21:19:50.

    ## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Starting date times

People took on average 127.36 minutes (median 1.48) to answer the survey.

    ## Warning: Removed 4 rows containing non-finite outside the scale range
    ## (`stat_bin()`).

    ## Warning: Removed 2 rows containing missing values or values outside the scale range
    ## (`geom_bar()`).

Duration people took for answering the survey

## Variables

### Scale: BFIK_agree

#### Overview

Reliability: Cronbach’s α [95% CI] = 0.8 [0.68;0.92].

Missing: 0.

Likert plot of scale BFIK_agree items
Distribution of scale BFIK_agree

#### Reliability details

###### Reliability

###### 95% Confidence Interval

lower | estimate | upper
--- | --- | ---
0.6815382 | 0.8005842 | 0.9196302

| raw_alpha | std.alpha | G6(smc) | average_r | S/N | ase | mean | sd | median_r
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
| 0.8005842 | 0.8032578 | 0.8025354 | 0.5051216 | 4.082794 | 0.0607377 | 3.116071 | 0.9316506 | 0.4955289

###### Reliability if an item is dropped:

| raw_alpha | std.alpha | G6(smc) | average_r | S/N | alpha se | var.r | med.r
--- | --- | --- | --- | --- | --- | --- | --- | ---
BFIK_agree_4R | 0.7039106 | 0.7059214 | 0.6277253 | 0.4444909 | 2.400452 | 0.0922357 | 0.0093288 | 0.4566167
BFIK_agree_1R | 0.7822898 | 0.7821901 | 0.7633114 | 0.5448449 | 3.591160 | 0.0731005 | 0.0413123 | 0.5344410
BFIK_agree_3R | 0.6758982 | 0.6925559 | 0.6242359 | 0.4288568 | 2.252623 | 0.1072194 | 0.0212505 | 0.3469923
BFIK_agree_2 | 0.8180575 | 0.8196006 | 0.7841113 | 0.6022937 | 4.543256 | 0.0568475 | 0.0219955 | 0.5971631

###### Item statistics

| n | raw.r | std.r | r.cor | r.drop | mean | sd
--- | --- | --- | --- | --- | --- | --- | ---
BFIK_agree_4R | 28 | 0.8471206 | 0.8503385 | 0.8291974 | 0.7057555 | 2.928571 | 1.184110
BFIK_agree_1R | 28 | 0.7168171 | 0.7554255 | 0.6253942 | 0.5538583 | 3.000000 | 0.942809
BFIK_agree_3R | 28 | 0.8820884 | 0.8651249 | 0.8439281 | 0.7510051 | 3.035714 | 1.290482
BFIK_agree_2 | 28 | 0.7205961 | 0.7010915 | 0.5430779 | 0.4825103 | 3.500000 | 1.261980

###### Non missing response frequency for each item

| 1 | 2 | 3 | 4 | 5 | miss
--- | --- | --- | --- | --- | --- | ---
BFIK_agree_4R | 0.0714286 | 0.3928571 | 0.1785714 | 0.2500000 | 0.1071429 | 0
BFIK_agree_1R | 0.0000000 | 0.3928571 | 0.2500000 | 0.3214286 | 0.0357143 | 0
BFIK_agree_3R | 0.1071429 | 0.3214286 | 0.1428571 | 0.2857143 | 0.1428571 | 0
BFIK_agree_2 | 0.0714286 | 0.1785714 | 0.1785714 | 0.3214286 | 0.2500000 | 0

#### Summary statistics

name | label | type | type_options | data_type | value_labels | optional | item_order | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
BFIK_agree_4R | Ich kann mich schroff und abweisend anderen gegenüber verhalten. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 5 | 0 | 1 | 1 | 3 | 5 | 2.928571 | 1.184110 | 6 | ▂▇▁▃▁▅▁▂
BFIK_agree_1R | Ich neige dazu, andere zu kritisieren. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 7 | 0 | 1 | 2 | 3 | 5 | 3.000000 | 0.942809 | 6 | ▇▁▅▁▁▆▁▁
BFIK_agree_3R | Ich kann mich kalt und distanziert verhalten. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 13 | 0 | 1 | 1 | 3 | 5 | 3.035714 | 1.290482 | 6 | ▂▇▁▃▁▇▁▃
BFIK_agree_2 | Ich schenke anderen leicht Vertrauen, glaube an das Gute im Menschen. | rating_button | 5 | haven_labelled | 1. 1: Trifft überhaupt nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 17 | 0 | 1 | 1 | 4 | 5 | 3.500000 | 1.261980 | 6 | ▂▅▁▅▁▇▁▆

### Scale: BFIK_neuro

#### Overview

Reliability: Cronbach’s α [95% CI] = 0.75 [0.61;0.9].

Missing: 0.

Likert plot of scale BFIK_neuro items
Distribution of scale BFIK_neuro

#### Reliability details

###### Reliability

###### 95% Confidence Interval

lower | estimate | upper
--- | --- | ---
0.6080638 | 0.7537326 | 0.8994015

| raw_alpha | std.alpha | G6(smc) | average_r | S/N | ase | mean | sd | median_r
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
| 0.7537326 | 0.7476172 | 0.7145893 | 0.496833 | 2.962235 | 0.0743208 | 2.892857 | 0.9254231 | 0.440167

###### Reliability if an item is dropped:

| raw_alpha | std.alpha | G6(smc) | average_r | S/N | alpha se | var.r | med.r
--- | --- | --- | --- | --- | --- | --- | --- | ---
BFIK_neuro_2R | 0.8400000 | 0.8408387 | 0.7253854 | 0.7253854 | 5.2829328 | 0.0602555 | NA | 0.7253854
BFIK_neuro_3 | 0.5904682 | 0.6112721 | 0.4401670 | 0.4401670 | 1.5724937 | 0.1456732 | NA | 0.4401670
BFIK_neuro_4 | 0.4653928 | 0.4905053 | 0.3249467 | 0.3249467 | 0.9627289 | 0.1871605 | NA | 0.3249467

###### Item statistics

| n | raw.r | std.r | r.cor | r.drop | mean | sd
--- | --- | --- | --- | --- | --- | --- | ---
BFIK_neuro_2R | 28 | 0.6549435 | 0.7217484 | 0.4638430 | 0.4100297 | 3.107143 | 0.8751417
BFIK_neuro_3 | 28 | 0.8755182 | 0.8383732 | 0.7625955 | 0.6528603 | 3.071429 | 1.2744954
BFIK_neuro_4 | 28 | 0.9046526 | 0.8854863 | 0.8409166 | 0.7420620 | 2.500000 | 1.2018504

###### Non missing response frequency for each item

| 1 | 2 | 3 | 4 | 5 | miss
--- | --- | --- | --- | --- | --- | ---
BFIK_neuro_2R | 0.0000000 | 0.2857143 | 0.3571429 | 0.3214286 | 0.0357143 | 0
BFIK_neuro_3 | 0.1071429 | 0.2500000 | 0.2857143 | 0.1785714 | 0.1785714 | 0
BFIK_neuro_4 | 0.2500000 | 0.3214286 | 0.1071429 | 0.3214286 | 0.0000000 | 0

#### Summary statistics

name | label | type | type_options | data_type | value_labels | optional | item_order | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
BFIK_neuro_2R | Ich bin entspannt, lasse mich durch Stress nicht aus der Ruhe bringen. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 9 | 0 | 1 | 2 | 3 | 5 | 3.107143 | 0.8751417 | 6 | ▆▁▇▁▁▇▁▁
BFIK_neuro_3 | Ich mache mir viele Sorgen. | rating_button | 5 | haven_labelled | 1. 1: Trifft überhaupt nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 15 | 0 | 1 | 1 | 3 | 5 | 3.071429 | 1.2744954 | 6 | ▃▇▁▇▁▅▁▅
BFIK_neuro_4 | Ich werde leicht nervös und unsicher. | rating_button | 5 | haven_labelled | 1. 1: Trifft überhaupt nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | 16 | 0 | 1 | 1 | 2 | 4 | 2.500000 | 1.2018504 | 6 | ▆▁▇▁▁▂▁▇

### age

Alter

#### Distribution

Distribution of values for age

0 missing values.

#### Summary statistics

name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
age | Alter | numeric | 0 | 1 | 19 | 32 | 38 | 30.5 | 4.670633 | ▂▂▇▇▅

## Missingness report

JSON-LD metadata

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

    {
      "name": "MOCK Big Five Inventory dataset (German metadata demo)",
      "description": "a small mock Big Five Inventory dataset\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|session       |NA                                                                         |         0|\n|created       |user first opened survey                                                   |         0|\n|modified      |user last edited survey                                                    |         0|\n|ended         |user finished survey                                                       |         0|\n|expired       |NA                                                                         |        28|\n|BFIK_agree_4R |__Ich kann mich schroff und abweisend anderen gegenüber verhalten.__       |         0|\n|BFIK_agree_1R |__Ich neige dazu, andere zu kritisieren.__                                 |         0|\n|BFIK_neuro_2R |__Ich bin entspannt, lasse mich durch Stress nicht aus der Ruhe bringen.__ |         0|\n|BFIK_agree_3R |__Ich kann mich kalt und distanziert verhalten.__                          |         0|\n|BFIK_neuro_3  |__Ich mache mir viele Sorgen.__                                            |         0|\n|BFIK_neuro_4  |__Ich werde leicht nervös und unsicher.__                                  |         0|\n|BFIK_agree_2  |__Ich schenke anderen leicht Vertrauen, glaube an das Gute im Menschen.__  |         0|\n|BFIK_agree    |4 BFIK_agree items aggregated by aggregation_function                      |         0|\n|BFIK_neuro    |3 BFIK_neuro items aggregated by aggregation_function                      |         0|\n|age           |Alter                                                                      |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.6).",
      "identifier": "doi:10.5281/zenodo.1326520",
      "datePublished": "2016-06-01",
      "creator": {
        "@type": "Person",
        "givenName": "Ruben",
        "familyName": "Arslan",
        "email": "ruben.arslan@gmail.com",
        "affiliation": {
          "@type": "Organization",
          "name": "MPI Human Development, Berlin"
        }
      },
      "citation": "Arslan (2016). Mock BFI data.",
      "url": "https://rubenarslan.github.io/codebook/articles/codebook.html",
      "temporalCoverage": "2016",
      "spatialCoverage": "Goettingen, Germany",
      "keywords": ["session", "created", "modified", "ended", "expired", "BFIK_agree_4R", "BFIK_agree_1R", "BFIK_neuro_2R", "BFIK_agree_3R", "BFIK_neuro_3", "BFIK_neuro_4", "BFIK_agree_2", "BFIK_agree", "BFIK_neuro", "age"],
      "@context": "https://schema.org/",
      "@type": "Dataset",
      "variableMeasured": [
        {
          "name": "session",
          "@type": "propertyValue"
        },
        {
          "name": "created",
          "description": "user first opened survey",
          "@type": "propertyValue"
        },
        {
          "name": "modified",
          "description": "user last edited survey",
          "@type": "propertyValue"
        },
        {
          "name": "ended",
          "description": "user finished survey",
          "@type": "propertyValue"
        },
        {
          "name": "expired",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_agree_4R",
          "description": "__Ich kann mich schroff und abweisend anderen gegenüber verhalten.__",
          "value": "5. 1: Trifft überhaupt nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_agree_1R",
          "description": "__Ich neige dazu, andere zu kritisieren.__",
          "value": "5. 1: Trifft überhaupt nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_neuro_2R",
          "description": "__Ich bin entspannt, lasse mich durch Stress nicht aus der Ruhe bringen.__",
          "value": "5. 1: Trifft überhaupt nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_agree_3R",
          "description": "__Ich kann mich kalt und distanziert verhalten.__",
          "value": "5. 1: Trifft überhaupt nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_neuro_3",
          "description": "__Ich mache mir viele Sorgen.__",
          "value": "1. 1: Trifft überhaupt nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_neuro_4",
          "description": "__Ich werde leicht nervös und unsicher.__",
          "value": "1. 1: Trifft überhaupt nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_agree_2",
          "description": "__Ich schenke anderen leicht Vertrauen, glaube an das Gute im Menschen.__",
          "value": "1. 1: Trifft überhaupt nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: Trifft voll und ganz zu,\nNA. Item was never rendered for this user.",
          "maxValue": 5,
          "minValue": 1,
          "measurementTechnique": "self-report",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_agree",
          "description": "4 BFIK_agree items aggregated by aggregation_function",
          "@type": "propertyValue"
        },
        {
          "name": "BFIK_neuro",
          "description": "3 BFIK_neuro items aggregated by aggregation_function",
          "@type": "propertyValue"
        },
        {
          "name": "age",
          "description": "Alter",
          "@type": "propertyValue"
        }
      ]
    }`

### Codebook table

name | label | type | type_options | data_type | value_labels | optional | scale_item_names | item_order | n_missing | complete_rate | n_unique | empty | count | min | median | max | mean | sd | whitespace | n_value_labels | hist
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
session | NA | NA | NA | character | NA | NA | NA | NA | 0 | 1 | 28 | 0 | NA | 64 | NA | 64 | NA | NA | 0 | NA | NA
created | user first opened survey | NA | NA | POSIXct | NA | NA | NA | NA | 0 | 1 | 28 | NA | NA | 2016-07-08 09:54:16 | 2016-07-08 12:47:07.5 | 2016-11-02 21:19:50 | NA | NA | NA | NA | NA
modified | user last edited survey | NA | NA | POSIXct | NA | NA | NA | NA | 0 | 1 | 28 | NA | NA | 2016-07-08 09:55:43 | 2016-07-08 14:23:22.5 | 2016-11-02 21:21:53 | NA | NA | NA | NA | NA
ended | user finished survey | NA | NA | POSIXct | NA | NA | NA | NA | 0 | 1 | 28 | NA | NA | 2016-07-08 09:55:43 | 2016-07-08 14:23:22.5 | 2016-11-02 21:21:53 | NA | NA | NA | NA | NA
expired | NA | NA | NA | logical | NA | NA | NA | NA | 28 | 0 | NA | NA | : | NA | NA | NA | NaN | NA | NA | NA | NA
BFIK_agree_4R | Ich kann mich schroff und abweisend anderen gegenüber verhalten. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 5 | 0 | 1 | NA | NA | NA | 1 | 3 | 5 | 2.928571 | 1.1841100 | NA | 6 | ▂▇▁▃▁▅▁▂
BFIK_agree_1R | Ich neige dazu, andere zu kritisieren. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 7 | 0 | 1 | NA | NA | NA | 2 | 3 | 5 | 3.000000 | 0.9428090 | NA | 6 | ▇▁▅▁▁▆▁▁
BFIK_neuro_2R | Ich bin entspannt, lasse mich durch Stress nicht aus der Ruhe bringen. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 9 | 0 | 1 | NA | NA | NA | 2 | 3 | 5 | 3.107143 | 0.8751417 | NA | 6 | ▆▁▇▁▁▇▁▁
BFIK_agree_3R | Ich kann mich kalt und distanziert verhalten. | rating_button | 5 | haven_labelled | 5. 1: Trifft überhaupt nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 13 | 0 | 1 | NA | NA | NA | 1 | 3 | 5 | 3.035714 | 1.2904820 | NA | 6 | ▂▇▁▃▁▇▁▃
BFIK_neuro_3 | Ich mache mir viele Sorgen. | rating_button | 5 | haven_labelled | 1. 1: Trifft überhaupt nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 15 | 0 | 1 | NA | NA | NA | 1 | 3 | 5 | 3.071429 | 1.2744954 | NA | 6 | ▃▇▁▇▁▅▁▅
BFIK_neuro_4 | Ich werde leicht nervös und unsicher. | rating_button | 5 | haven_labelled | 1. 1: Trifft überhaupt nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 16 | 0 | 1 | NA | NA | NA | 1 | 2 | 4 | 2.500000 | 1.2018504 | NA | 6 | ▆▁▇▁▁▂▁▇
BFIK_agree_2 | Ich schenke anderen leicht Vertrauen, glaube an das Gute im Menschen. | rating_button | 5 | haven_labelled | 1. 1: Trifft überhaupt nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: Trifft voll und ganz zu, NA. Item was never rendered for this user. | 0 | NA | 17 | 0 | 1 | NA | NA | NA | 1 | 4 | 5 | 3.500000 | 1.2619796 | NA | 6 | ▂▅▁▅▁▇▁▆
BFIK_agree | 4 BFIK_agree items aggregated by aggregation_function | NA | NA | numeric | NA | NA | BFIK_agree_4R, BFIK_agree_1R, BFIK_agree_3R, BFIK_agree_2 | NA | 0 | 1 | NA | NA | NA | 1.5 | 3.0 | 4.8 | 3.116071 | 0.9316506 | NA | NA | ▂▇▅▅▃
BFIK_neuro | 3 BFIK_neuro items aggregated by aggregation_function | NA | NA | numeric | NA | NA | BFIK_neuro_2R, BFIK_neuro_3, BFIK_neuro_4 | NA | 0 | 1 | NA | NA | NA | 1.3 | 2.8 | 4.3 | 2.892857 | 0.9254231 | NA | NA | ▅▇▇▆▇
age | Alter | NA | NA | numeric | NA | NA | NA | NA | 0 | 1 | NA | NA | NA | 19.0 | 32.0 | 38.0 | 30.500000 | 4.6706332 | NA | NA | ▂▂▇▇▅