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)

## Warning in doTryCatch(return(expr), name, parentenv, handler): Reliability CIs
## could not be computed for BFIK_neuro

## Warning in doTryCatch(return(expr), name, parentenv, handler): missing value
## where TRUE/FALSE needed

## Registered S3 method overwritten by 'GGally':
##   method from   
##   +.gg   ggplot2

## Loading required namespace: GPArotation

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	list(`@type` = “Organization”, name = “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 values (stat_bin).

## Warning: Removed 2 rows containing missing values (geom_bar).

Duration people took for answering the survey

#Variables

Scale: BFIK_agree

Overview

Reliability: ω_ordinal [95% CI] = 0.61 [0.37;0.84].

Missing: 0.

Likert plot of scale BFIK_agree items

Distribution of scale BFIK_agree

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	BFIK_agree_4R, BFIK_agree_1R, BFIK_agree_3R & BFIK_agree_2
Observations:	28
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.82
Omega (hierarchical):	0.77
Revelle’s Omega (total):	0.89
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.88
Coefficient Alpha:	0.80

Confidence intervals

Omega (total):	[0.71; 0.93]
Coefficient Alpha	[0.68; 0.92]

Estimates assuming ordinal level

Ordinal Omega (total):	0.61
Ordinal Omega (hierarch.):	0.59
Ordinal Coefficient Alpha:	0.59

Confidence intervals

Ordinal Omega (total):	[0.37; 0.84]
Ordinal Coefficient Alpha	[0.33; 0.84]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.539, 0.732, 0.54 & 0.189

Factor analysis (reproducing only shared variance)

	ML1
BFIK_agree_4R	0.872
BFIK_agree_1R	0.614
BFIK_agree_3R	0.862
BFIK_agree_2	0.509

Component analysis (reproducing full covariance matrix)

	PC1
BFIK_agree_4R	0.871
BFIK_agree_1R	0.748
BFIK_agree_3R	0.880
BFIK_agree_2	0.668

Item descriptives

mea	n med	ian var	sd	IQR	se	min	q1	q3	max	ske	w kur	t dip	n	NA	id
BFIK_agree_4R	2.92857142857143	3	1.4021164021164	1.1841099620037	2	0.223775748886852	1	2	4	5	0.291229375894641	-1.00398091847633	0.125	28	28
BFIK_agree_1R	3	3	0.888888888888889	0.942809041582063	2	0.17817416127495	2	2	4	5	0.285562353940721	-1.25653846153846	0.160714285714286	28	28
BFIK_agree_3R	3.03571428571429	3	1.66534391534392	1.29048204766433	2	0.243878183536658	1	2	4	5	0.0404804251434893	-1.2234635793667	0.142857142857143	28	28
BFIK_agree_2	3.5	4	1.59259259259259	1.26197963240006	2	0.238491733354234	1	2	5	5	-0.476294014441626	-0.815313059033989	0.125	28	28

Scattermatrix

Scatterplot

## No viewer found, probably documenting or testing

Summary statistics

name	label	type	type_options	data_type	value_labels	item_order	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.	5	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.	7	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.	13	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.	17	1	1	4	5	3.500000	1.261980	6	▂▅▁▅▁▇▁▆

Scale: BFIK_neuro

Overview

Reliability: ω_total [95% CI] = 0.82 [not computed].

Missing: 0.

Likert plot of scale BFIK_neuro items

Distribution of scale BFIK_neuro

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	BFIK_neuro_2R, BFIK_neuro_3 & BFIK_neuro_4
Observations:	28
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.82
Omega (hierarchical):	0.03
Revelle’s Omega (total):	0.80
Greatest Lower Bound (GLB):	0.83
Coefficient H:	0.98
Coefficient Alpha:	0.75

Estimates assuming ordinal level

Ordinal Omega (total):	277.19
Ordinal Omega (hierarch.):	278.28
Ordinal Coefficient Alpha:	0.45

Eigen values

2.015, 0.723 & 0.262

Factor analysis (reproducing only shared variance)

	ML1
BFIK_neuro_2R	0.444
BFIK_neuro_3	0.732
BFIK_neuro_4	0.991

Component analysis (reproducing full covariance matrix)

	PC1
BFIK_neuro_2R	0.670
BFIK_neuro_3	0.863
BFIK_neuro_4	0.907

Item descriptives

mea	n med	ian var	sd	IQR	se	min	q1	q3	max	ske	w kur	t dip	n	NA	id
BFIK_neuro_2R	3.10714285714286	3	0.765873015873016	0.875141711880434	2	0.165386237969641	2	2	4	5	0.137995073801346	-0.952614195115202	0.160714285714286	28	28
BFIK_neuro_3	3.07142857142857	3	1.62433862433862	1.27449543912037	2	0.240856998499897	1	2	4.5	5	0.0884692815326234	-0.956164268627212	0.125	28	28
BFIK_neuro_4	2.5	2	1.44444444444444	1.20185042515466	2.5	0.227128381289749	1	1	4	4	0.137854486635856	-1.55175238962221	0.160714285714286	28	28

Scattermatrix

Scatterplot

## No viewer found, probably documenting or testing

Summary statistics

name	label	type	type_options	data_type	value_labels	item_order	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.	9	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.	15	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.	16	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 0.9.2).",
  "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": "http://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	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	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	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	▂▂▇▇▅

Codebook example with formr.org data

Ruben Arslan

2020-06-06

Metadata

Description

Survey overview

Scale: BFIK_agree

Overview

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Estimates assuming interval level

Estimates assuming ordinal level

Eigen values

Factor analysis (reproducing only shared variance)

Component analysis (reproducing full covariance matrix)

Item descriptives

Scattermatrix

Summary statistics

Scale: BFIK_neuro

Overview

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Estimates assuming interval level

Estimates assuming ordinal level

Eigen values

Factor analysis (reproducing only shared variance)

Component analysis (reproducing full covariance matrix)

Item descriptives

Scattermatrix

Summary statistics

age

Distribution

Summary statistics

Missingness report

Codebook table