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Nettbasert spørreundersøkelse – Web-basert spørreundersøkelsesforskning×Longitudinal Survey×
FagfeltSurveymetodikkSurveymetodikk
FamilieProcess / pipelineProcess / pipeline
OpprinnelsesårMid-1990s (widespread scholarly adoption ~1995–2000)1940s (panel survey tradition); longitudinal designs codified mid-20th century
OpphavspersonMick P. Couper, Don A. Dillman (early systematic frameworks)Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies)
TypeQuantitative / mixed-methods data collection techniqueQuantitative / mixed-methods survey design
Opprinnelig kildeCouper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292
Aliasweb survey, internet survey, e-survey, computer-assisted web interviewingpanel survey, repeated-measures survey, longitudinal panel study, wave survey
Relaterte63
SammendragAn online survey is a structured data collection instrument hosted on a web platform and completed by respondents via internet-connected devices. It enables large-scale, geographically dispersed data gathering at low cost and with rapid turnaround. Respondents self-administer the questionnaire at their convenience, which reduces interviewer bias and permits automatic data capture. Online surveys are the dominant mode of survey research in social, behavioural, health, and market research today.A longitudinal survey collects structured questionnaire data from the same individuals or units at two or more distinct points in time. By tracking the same respondents across waves, researchers can distinguish genuine change from stable individual differences, establish temporal ordering between variables, and model trajectories of attitudes, behaviors, or outcomes in ways that a single cross-sectional snapshot cannot support.
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ScholarGateSammenlign metoder: Online Survey · Longitudinal Survey. Hentet 2026-06-19 fra https://scholargate.app/no/compare