Evidence map›Paper›PMID 37177775›Full record

ArticleSensors (Basel, Switzerland)2023

Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters.

Ákos Máté, Zsófia Rakovics, Szilvia Rudas, Levente Wallis, Bence Ságvári, Ákos Huszár, Júlia Koltai

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Ákos MátéMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.
Zsófia RakovicsMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.ORCID 0000-0002-9903-9348
Szilvia RudasMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.
Levente WallisMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.
Bence SágváriMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.ORCID 0000-0001-5862-4789
Ákos HuszárMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.
Júlia KoltaiMTA-TK Lendület "Momentum" Digital Social Science Research Group for Social Stratification, Centre for Social Sciences, Tóth Kálmán Utca 4, 1097 Budapest, Hungary.ORCID 0000-0002-8676-7303
Centre for Social Sciences · HUEötvös Loránd University · HUCorvinus University of Budapest · HUInstitute for Sociology · HU

Funding

Hungarian Academy of Sciences Lendület program: LP2022-10/2022National Research, Development and Innovation Office RRF-2.3.1-21-2022-00004
6 · The paper itself

Abstract

The main question of this paper is what factors influence willingness to participate in a smartphone-application-based data collection where participants both fill out a questionnaire and let the app collect data on their smartphone usage. Passive digital data collection is becoming more common, but it is still a new form of data collection. Due to the novelty factor, it is important to investigate how willingness to participate in such studies is influenced by both socio-economic variables and smartphone usage behaviour. We estimate multilevel models based on a survey experiment with vignettes for different characteristics of data collection (e.g., different incentives, duration of the study). Our results show that of the socio-demographic variables, age has the largest influence, with younger age groups having a higher willingness to participate than older ones. Smartphone use also has an impact on participation. Advanced users are more likely to participate, while users who only use the basic functions of their device are less likely to participate than those who use it mainly for social media. Finally, the explorative analysis with interaction terms between levels has shown that the circumstances of data collection matter differently for different social groups. These findings provide important clues on how to fine-tune circumstances to improve participation rates in this novel passive digital data collection.

Indexed as

Mobile ApplicationsSmartphoneHumansMotivationSocial GroupSurveys and Questionnairesdata collection methodsdigital trace datasmartphone datasurvey experimentwillingness of participation

Identifiers

PMID37177775
PMCPMC10181725
OpenAlexW4376629758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.