Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Dlouhodobé nestranné pozorování× | Longitudinální průzkum× | |
|---|---|---|
| Obor | Metodologie dotazníkových šetření | Metodologie dotazníkových šetření |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | Early–mid 20th century (systematized 1920s–1970s) | 1940s (panel survey tradition); longitudinal designs codified mid-20th century |
| Tvůrce≠ | Rooted in sociological field research traditions (e.g., Chicago School); longitudinal extension developed through 20th-century social science methodology | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) |
| Typ≠ | Longitudinal observational data collection | Quantitative / mixed-methods survey design |
| Původní zdroj≠ | Angrosino, M. (2007). Doing Ethnographic and Observational Research. Sage Publications. ISBN: 978-1412922173 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 |
| Další názvy | longitudinal unobtrusive observation, repeated non-participant observation, longitudinal systematic observation, extended non-participant field observation | panel survey, repeated-measures survey, longitudinal panel study, wave survey |
| Příbuzné≠ | 4 | 3 |
| Shrnutí≠ | Longitudinal non-participant observation is a data collection method in which a researcher systematically watches and records naturally occurring behaviors, interactions, or events at a setting over multiple, repeated observation sessions spanning weeks, months, or years — without joining or influencing the activities being observed. The researcher remains an external observer, producing a time-ordered record of change or continuity in the phenomenon under study. | 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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