Találati lista | Tudóstér

001-es BibID:	BIBFORM118162
035-os BibID:	(Scopus)85182442130 (WoS)001143951500001
Első szerző:	Münnich Ákos (matematikus)
Cím:	Interview completed : the application of survival analysis to detect factors infuencing response rates in online surveys / Ákos Münnich, Mátyás Kocsis, Mark C. Mainwaring, István Fónagy, Jenő Nagy
Dátum:	2024
ISSN:	2050-3318 2050-3326
Megjegyzések:	Marketing interviews are widely used to acquire information on the behaviour, satisfaction, and/or needs of customers. Although online surveys are broadly available, one of the major challenges is to collect high-quality data, which is fundamental for marketing. Since online surveys are mostly unsupervised, the possibility of providing false answers is high, and large numbers of participants do not finish interviews, yet our understanding of the reasons behind this pattern remains unclear. Here, we examined the possible factors influencing response rates and aimed to investigate the impact of technical and demographic information on the probability of interview completion rates of multiple surveys. We applied survival analysis and proportional hazards models to statistically evaluate the associations between the probability of survey completion and the technical and demographic information of the respondents. More complex surveys had lower completion probabilities, although survey completion was increased when respondents used desktop computers and not mobile devices, and when surveys were translated to their native language. Meanwhile, age and gender did not influence completion rates, but the pool of respondents invited to complete the survey did affect completion rates. These findings can be used to improve online surveys to achieve higher completion rates and collect more accurate data.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Completion probability Cox's regression Hazard ratio Online survey Optimisation Response rate Technical conditions Time-dependent processes
Megjelenés:	Journal of Marketing Analytics. - [Epub ahead of print] (2024). -
További szerzők:	Kocsis Mátyás (2001-) (alapokleveles matematikus) Mainwaring, Mark C. Fónagy István Nagy Jenő (1989-) (biológus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: