方法对比
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| 电话辅助研究日记× | 纵向日记法× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1980s–1990s (telephone-prompted diary variants) | 1942 (diary method); longitudinal variant formalised 1980s–2000s |
| 提出者≠ | Diary methods: Ronald Burgess and colleagues (field research tradition); telephone-prompted variants emerged from experience sampling and health research | Allport (1942); systematic longitudinal extension developed by Bolger, Davis & Rafaeli (2003) |
| 类型 | Longitudinal qualitative/quantitative data collection | Longitudinal qualitative/quantitative data collection |
| 开创性文献≠ | Burgess, R. G. (1984). In the Field: An Introduction to Field Research. Allen & Unwin. ISBN: 978-0415058711 | Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54(1), 579–616. DOI ↗ |
| 别名 | phone-prompted diary, telephone diary method, telephone-based research diary, CATI diary | diary study (longitudinal), daily diary method, repeated-measures diary, longitudinal self-report diary |
| 相关≠ | 4 | 3 |
| 摘要≠ | The telephone-assisted research diary combines the longitudinal depth of diary methods with structured telephone prompting. Participants are contacted by researchers at scheduled intervals — daily, weekly, or event-contingent — and guided to reflect on and record recent experiences, behaviours, or feelings. The telephone call functions as both a prompt to ensure timely entries and as a brief interview that deepens the diary record beyond what participants might write unsupported. | The Longitudinal Diary Method is a data collection technique in which participants record experiences, thoughts, feelings, or behaviors in structured diary entries repeatedly over an extended period — from days to months or even years. Unlike a one-shot survey, it tracks within-person change, daily fluctuation, and temporal processes in natural settings, making it especially powerful for studying how phenomena evolve over time. |
| ScholarGate数据集 ↗ |
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