privpers: Dataset "Privacy and Personality"

In dienlin/td: Functions For Everyday Use

Description

Data with several measures of privacy and personality variables. For more information (e.g., the codebook with a list of all items), see https://osf.io/st7p6/.

Usage

perspriv

Format

A data frame with 296 rows and 223 variables. Answer format was a 7-point Likert scale.

pri_att_soc

Privacy Attitude Societal

pri_att_int

Privacy Attitude Interpersonal

pri_con_soc

Privacy Concerns Societal

pri_con_int

Privacy Concerns Interpersonal

pri_val_gen

Privacy Values General

pri_val_soc

Privacy Values Societal

pri_val_soc_sce

Privacy Values Societal Scenario Approach

pri_val_int

Privacy Values Interpersonal

pri_val_int_sce

Privacy Values Interpersonal Scenario Approach

pri_nee_gen

Privacy Need General

pri_nee_soc

Privacy Need Societal

pri_nee_int

Privacy Need Interpersonal

pri_beh_soc

Privacy Behavior Societal

pri_beh_int

Privacy Behavior Interpersonal

pri_beh_exp_neg_soc

Privacy Experiences Negative Societal

pri_beh_exp_neg_int

Privacy Experiences Negative Interpersonal

pri_beh_exp_pos_soc

Privacy Experiences Positive Societal

pri_beh_exp_pos_int

Privacy Experiences Positive Interpersonal

pri_nor_gen

Privacy Subjective Norm General

pri_nor_soc

Privacy Subjective Norm Societal

pri_nor_int

Privacy Subjective Norm Interpersonal

itg

Integrity

soc

Sociability

anx

Anxiety

tra

Traditionalism

ria

Risk Avoidance

bfi

Big Five

soc_des

Social Desirability

sex

Sex

age

Age

eth

Ethnicity

edu

Education

edu_par

Education Parents

job_par_1

Job Parent 1

job_par_2

Job Parent 2

inc

Income

inc_par

Income Parents

Source

Open Science Framework

References

Dienlin, T., & Metzger, M. (2019). Measures of Privacy and Personality. Retrieved from osf.io/st7p6

Examples

d <- td::privpers

dienlin/td documentation built on June 15, 2021, 6:44 a.m.