Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Longitudinal Mobile Experience Sampling× | Pesquisa Longitudinal× | |
|---|---|---|
| Área | Metodologia de survey | Metodologia de survey |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1983 (ESM origins); 2000s onward (mobile longitudinal variants) | 1940s (panel survey tradition); longitudinal designs codified mid-20th century |
| Autor original≠ | Csikszentmihalyi & Larson (ESM, 1983); Shiffman, Stone & Hufford (EMA, 2008); extended to longitudinal mobile designs by Hamaker and colleagues | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) |
| Tipo≠ | Longitudinal intensive data collection technique | Quantitative / mixed-methods survey design |
| Fonte seminal≠ | Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32. DOI ↗ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 |
| Outros nomes | Longitudinal ESM, Longitudinal EMA, Longitudinal Ecological Momentary Assessment, Long-term mESM | panel survey, repeated-measures survey, longitudinal panel study, wave survey |
| Relacionados≠ | 4 | 3 |
| Resumo≠ | Longitudinal Mobile Experience Sampling combines the real-time, in-context signal capture of Experience Sampling Method (ESM) with a longitudinal design spanning weeks, months, or longer. Participants respond to repeated prompts delivered to their smartphones across multiple time waves, enabling researchers to observe within-person change, stability, and dynamic processes as they unfold in daily life rather than in retrospective recall. | 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. |
| ScholarGateConjunto de dados ↗ |
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