a small mock Big Five Inventory dataset

Table of variables

This table contains variable names, labels, and number of missing values. See the complete codebook for more.

name	label	n_missing
session	NA	0
created	user first opened survey	0
modified	user last edited survey	0
ended	user finished survey	0
expired	NA	28
BFIK_open_2	Ich bin tiefsinnig, denke gerne über Sachen nach.	0
BFIK_agree_4R	Ich kann mich schroff und abweisend anderen gegenüber verhalten.	0
BFIK_extra_2	Ich bin begeisterungsfähig und kann andere leicht mitreißen.	0
BFIK_agree_1R	Ich neige dazu, andere zu kritisieren.	0
BFIK_open_1	Ich bin vielseitig interessiert.	0
BFIK_neuro_2R	Ich bin entspannt, lasse mich durch Stress nicht aus der Ruhe bringen.	0
BFIK_consc_3	Ich bin tüchtig und arbeite flott.	0
BFIK_consc_4	Ich mache Pläne und führe sie auch durch.	0
BFIK_consc_2R	Ich bin bequem, neige zur Faulheit.	0
BFIK_agree_3R	Ich kann mich kalt und distanziert verhalten.	0
BFIK_extra_3R	Ich bin eher der "stille Typ", wortkarg.	0
BFIK_neuro_3	Ich mache mir viele Sorgen.	0
BFIK_neuro_4	Ich werde leicht nervös und unsicher.	0
BFIK_agree_2	Ich schenke anderen leicht Vertrauen, glaube an das Gute im Menschen.	0
BFIK_consc_1	Ich erledige Aufgaben gründlich.	0
BFIK_open_4	Ich schätze künstlerische und ästhetische Eindrücke.	0
BFIK_extra_4	Ich gehe aus mir heraus, bin gesellig.	0
BFIK_extra_1R	Ich bin eher zurückhaltend, reserviert.	0
BFIK_open_3	Ich habe eine aktive Vorstellungskraft, bin phantasievoll.	0
BFIK_agree	4 BFIK_agree items aggregated by aggregation_function	0
BFIK_open	4 BFIK_open items aggregated by aggregation_function	0
BFIK_consc	4 BFIK_consc items aggregated by aggregation_function	0
BFIK_extra	4 BFIK_extra items aggregated by aggregation_function	0
BFIK_neuro	3 BFIK_neuro items aggregated by aggregation_function	0
age	Alter	0

Note

This dataset was automatically described using the codebook R package (version 0.9.5).

a MOCK dataset used to show how to import Qualtrics metadata into the codebook R package

Table of variables

This table contains variable names, labels, and number of missing values. See the complete codebook for more.

name	label	n_missing
ResponseSet	NA	0
Q7	NA	0
Q10	NA	0

Note

This dataset was automatically described using the codebook R package (version 0.9.5).

Download link

Open Science Framework

Table of variables

This table contains variable names, labels, their central tendencies and other attributes.

name	label	data_type	ordered	value_labels	scale_item_names	missing	complete	n	empty	n_unique	top_counts	median	min	max	mean	sd	p0	p25	p50	p75	p100	hist	format.spss	display_width
startdate	Start time	numeric	NA	NA	NA	4	2002	2006	NA	NA	NA	NA	NA	NA	1.4e+10	5.6e+07	1.4e+10	1.4e+10	1.4e+10	1.4e+10	1.4e+10	▆▁▁▁▁▁▁▇	F8.12	NA
enddate	End time	numeric	NA	NA	NA	4	2002	2006	NA	NA	NA	NA	NA	NA	1.4e+10	5.6e+07	1.4e+10	1.4e+10	1.4e+10	1.4e+10	1.4e+10	▆▁▁▁▁▁▁▇	F8.12	NA
ConsentAgree	Consent to participate	numeric	NA	NA	NA	10	1996	2006	NA	NA	NA	NA	NA	NA	1	0	1	1	1	1	1	▁▁▁▇▁▁▁▁	F8.0	NA
keepdrop	Exclusion for all critieria except conception risk	numeric	NA	0. keep, - 1. drop	NA	3	2003	2006	NA	NA	NA	NA	NA	NA	0.59	0.49	0	0	1	1	1	▆▁▁▁▁▁▁▇	F8.0	NA
conriskkeepdrop	Exclusion for conception risk	numeric	NA	0. keep, - 1. drop	NA	6	2000	2006	NA	NA	NA	NA	NA	NA	0.64	0.48	0	0	1	1	1	▅▁▁▁▁▁▁▇	F8.0	NA
targetincome	Income manipulation	numeric	NA	0. low, - 1. high	NA	1053	953	2006	NA	NA	NA	NA	NA	NA	0.5	0.5	0	0	1	1	1	▇▁▁▁▁▁▁▇	F8.0	NA
targetformidability	Formidability manipulation	numeric	NA	0. low, - 1. high	NA	1053	953	2006	NA	NA	NA	NA	NA	NA	0.5	0.5	0	0	1	1	1	▇▁▁▁▁▁▁▇	F8.0	NA
targetgroupstatus	Group status manipulation	numeric	NA	0. ingroup, - 1. outgroup	NA

The data to this speed dating study comes in two different formats: Personwise (one record for each individual) and dyadic (pairwise; one record for each date). The respective SPSS files are named "DarkTriadDate_person.sav" and "DarkTriadDate_dyad.sav".

Download link

Open Science Framework

Personwise datafile

The personwise datafile contains individual differences variables and perceiver and target effects according to the social relations model. These are centered marginal means that were calculated according to the formulae provided by Kenny, Kashy, and Cook (2006). These effects are not (!) based on multilevel analyses.

Preprocessing

All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS.

A list of important abbreviations, prefixes and suffixes:

• _acq = acquaintance (i.e., variables with this suffix are controlled for prior * acquaintance)
• avg = average
• _rat = rating variable
• _z = z-standardized score
• BC = booty call
• DG = dating group (three groups in this study)
• FIPI = five item personality inventory
• FS = friendship
• FWB = friends-with-benefits
• Int = Intelligence
• Like = Likeability
• LTR = long-term relationship
• MACHIV = mach-iv machiavellianism questionnaire
• N, E, O, A, C = Big5
• NPI = narcissistic personality inventory
• ONS = one night stand
• P = perceiver
• PA = physical attractiveness
• PercEff = perceiver effect
• SD = speed dating
• SRM = social relations model
• SRP = self-report psychopathy scale
• STR = short-term relationship
• T = target
• TargEff = target effect

Table of variables

This table contains variable names, labels, and number of missing values. See the complete codebook for more.

[truncated]

Note

This dataset was automatically described using the codebook R package (version 0.9.5).

The dataset has N=1660 rows and 114 columns. 0 rows have no missing values on any column.

Table of variables

This table contains variable names, labels, and number of missing values. See the complete codebook for more.

[truncated]

Note

This dataset was automatically described using the codebook R package (version 0.9.3).