3,751 rated or chosen profiles from 1,255 respondents, in up to 3 tasks of 1 profile varying on 4 attributes.

About this table

Description	German online respondents (Qualtrics panel, Dec 2019; n = 1,255) each rated three text vignettes about applying for a municipal service, randomizing the service (passport, certificate of good conduct, social-housing permit), the interface (app, self-service terminal, clerk) and service quality (on time, delayed, delayed with apology); ratings of satisfaction with the procedure and with the result (9-point).
Reference	Prokop, C., & Tepe, M. (2022). Talk or type? The effect of digital interfaces on citizens' satisfaction with standardized public services. Public Administration, 100(2), 427-433.
DOI	10.1111/padm.12739
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/1NQPEZ

Notes

Conjoint table (irw_conjoint). rating_procedure / rating_result: "Wie zufrieden wären Sie... mit dem Ablauf? / mit dem Ergebnis?" on a 9-point scale stored as codes 1-9 (1 = -4 gar nicht zufrieden, 9 = 4 sehr zufrieden). Single-profile text vignettes, three per respondent, factors independently and evenly randomized per vignette; the third vignette pairs the self-service-terminal text with the desk picture (attr_image). 1,255 respondents with any rating (authors' complete-case sample 1,234; cov_progress); IP, ResponseId and panel token dropped.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	public administration
A profile represents	scenario
Country	DE
Language shown	de
Language of stored levels	de
Randomization restrictions	yes (stated by the source): the three factors are independent, but derived texts are tied to them: service, interface and quality each drawn by its own Qualtrics BlockRandomizer (Evenly Present Elements) per vignette; attr_quality text embeds the service noun, and attr_image is tied to attr_interface (Smartphone = app, Self-Service-Terminal = terminal, Schreibtisch = clerk), except task 3 where the terminal text shows the Schreibtisch picture
Task order	recorded in the deposit
Profile position	recorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

rating_procedure	Bitte stellen Sie sich folgende Situation vor: [vignette] Wie zufrieden wären Sie... mit dem Ablauf? [rating, 1 (-4 - gar nicht zufrieden) to 9 (4 - sehr zufrieden)]
rating_result	Bitte stellen Sie sich folgende Situation vor: [vignette] Wie zufrieden wären Sie... mit dem Ergebnis? [rating, 1 (-4 - gar nicht zufrieden) to 9 (4 - sehr zufrieden)]

Columns

attr_imageattr_interfaceattr_qualityattr_servicecov_agecov_atis_1cov_atis_2cov_atis_3cov_atis_4cov_duration_seccov_exp_appcov_exp_sstcov_expect_procedurecov_expect_resultcov_frequencycov_gendercov_incomecov_left_rightcov_progresscov_psm_1cov_psm_2cov_psm_3cov_psm_4cov_psm_5cov_public_sectorcov_smartphonecov_statecov_techaff_1cov_techaff_10cov_techaff_11cov_techaff_12cov_techaff_2cov_techaff_3cov_techaff_4cov_techaff_5cov_techaff_6cov_techaff_7cov_techaff_8cov_techaff_9idprofilerating_procedurerating_resulttask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("prokop_2021_digital_services", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("prokop_2021_digital_services", source="conj")

How to cite

@article{Prokop_2021, title={Talk or type? The effect of digital interfaces on citizens’ satisfaction with standardized public services}, volume={100}, ISSN={1467-9299}, url={http://dx.doi.org/10.1111/padm.12739}, DOI={10.1111/padm.12739}, number={2}, journal={Public Administration}, publisher={Wiley}, author={Prokop, Christine and Tepe, Markus}, year={2021}, month=May, pages={427–443} }

Respondents	1,255
Rows (one per respondent, task and profile)	3,751
Tasks per respondent (most)	3
Profiles per task	1
Attributes	4

IRW version	v607
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v47.0

prokop_2021_digital_services