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Time Allocation Study×Behavioral Observation Coding×
AlanAnthropologyAnthropology
AileProcess / pipelineProcess / pipeline
Köken yılı19841974
KökenEcological and economic anthropology (synthesized by Gross)Behavioral sampling tradition (Altmann), adapted to anthropology (Bernard)
TürResearch design for characterizing how people allocate time across activitiesSystematic procedure for sampling and coding observed behavior
Seminal kaynakGross, D. R. (1984). Time allocation: a tool for the study of cultural behavior. Annual Review of Anthropology, 13, 519–558. DOI ↗Altmann, J. (1974). Observational study of behavior: sampling methods. Behaviour, 49(3–4), 227–267. DOI ↗
Diğer adlarTime Allocation Research, Time Use Study, Time Budget Study, Activity Allocation StudyBehavior Coding, Systematic Observation Coding, Behavioral Sampling and Coding, Observational Coding
İlişkili44
ÖzetA time-allocation study is an anthropological research design that measures how people distribute their time across the activities of daily life — subsistence, domestic work, child care, leisure, ritual, and rest — in order to characterize a community's economy and way of life quantitatively. Data are gathered by directly observing what people do (through random spot checks or continuous focal observation) or by collecting recall diaries, and the activities are then expressed as shares of the total time budget. The result is an empirical portrait of how labor and leisure are organized and divided.Behavioral observation coding is the systematic practice of recording who does what, when, by applying an explicit sampling rule and a predefined coding scheme to observed behaviour. Rather than jotting impressions, the observer commits in advance to a rule — focal-individual, scan, ad libitum, or continuous sampling — and to a list of mutually defined behaviour categories, so that records are reproducible and comparable. Because two trained observers should code the same scene the same way, the method also requires measuring inter-observer reliability before the data are trusted.
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  3. PUBLISHED

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