Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Pitkittäistutkimus× | Toistomittaus-ANOVA× | |
|---|---|---|
| Tieteenala≠ | Kyselytutkimuksen metodologia | Tilastotiede |
| Menetelmäperhe≠ | Process / pipeline | Hypothesis test |
| Syntyvuosi≠ | 1940s (panel survey tradition); longitudinal designs codified mid-20th century | 1992 |
| Kehittäjä≠ | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) | Girden (textbook treatment); Field (2013) |
| Tyyppi≠ | Quantitative / mixed-methods survey design | Parametric within-subjects mean comparison |
| Alkuperäislähde≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Rinnakkaisnimet | panel survey, repeated-measures survey, longitudinal panel study, wave survey | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Liittyvät≠ | 3 | 4 |
| Tiivistelmä≠ | 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. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
| ScholarGateAineisto ↗ |
|
|