MTURK: MTurk Survey on "Mood and Personality"

In GLMMRR: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

MTurk Survey on "Mood and Personality"

Description

Data from an online validation experiment in which respondents' self-reports of norm breaking behavior were validated against observed actual behavior. After playing a dice game, respondents were asked whether they played honestly, using one of several randomly assigned sensitive question techniques. Furthermore, three other sensitive questions on shoplifting, tax evasion, and voting were asked. The dataset contains the randomized responses from 6152 Amazon Mechanical Turk (MTURK) workers. Each row holds the response to one question for one respondent. The variables are as follows:

Usage

data(MTURK)

Format

A data frame in long format with 24594 rows and 26 variables

Details

• id. Identification code of the respondent

• Question. Which question was asked

• RR_response. Binary randomized response

• RRp1. Randomized Response parameter p1

• RRp2. Randomized Response parameter p2

• RRmodel. Randomized Response Model

• dicegame. Dice game assignment (1: prediction, 2: roll-a-six)

• cheater. The respondent is classified as honest or cheater if dice game assignment was 'roll-a-six'

• agecategory. Age category

• education. Level of education

• employment. Employment status

• locationinterview. Interview location

• extraversion. Extraversion score on a scale of 2-10

• agreeableness. Agreeableness score on a scale of 2-10

• conscientiousness. Conscientiousness score on a scale of 2-10

• neuroticism. Neuroticism score on a scale of 2-10

• openness. Openness score on a scale of 2-10

• gender. Gender (0: female, 1: male)

• age. Age in years

• privacyquestion1. How well are respondents' anonymity and privacy protected? (1: very poorly, 2: rather poorly, 3: moderately, 4: rather well, 5: very well)

• privacyquestion2. How likely could respondents' sensitive behavior be disclosed by this survey? (1: impossible, 2: not likely, 3: somewhat likely, 4: quite likely, 5: very likely)

• privacyquestion3. Does the special technique absolutely protect your answers? (1: not at all, 2: a little, 3: moderately, 4: quite a bit, 5: definitely)

• privacyquestion4. Do you think you properly followed the instructions for the special technique? (1: not at all, 2: a little, 3: moderately, 4: quite a bit, 5: definitely)

• privacyquestion5. Did you understand how the technique protects respondents? (1: not at all, 2: a little, 3: moderately, 4: quite a bit, 5: definitely)

• region. Region code

• country. Country

Author(s)

Marc Hoeglinger and Ben Jann

References

https://ideas.repec.org/p/bss/wpaper/17.html

GLMMRR documentation built on Nov. 5, 2025, 6:20 p.m.