Abstract
Based on a smartphone app, the intensive hour technique (random time sampling) (RTS) gathers time use data about employment-related activities. This information is missing in standard 24-hour time use surveys due to anxieties about (1) respondent burden and (2) the potential for industrial provocation. The RTS samples two or three one-hour notifications of employment time per working day, over a few weeks, each notification taking less than two minutes. RTS collects insufficient information to measure individual performance, but provides an accurate estimate of what typically happens in a given occupation: weekly hours of work; allocation of time; timing of tasks (by season, by day of the week and by time of day); social context and location of activities; and self-rated experience of employment-related activities. Data from pilot studies undertaken so far illustrates how this done.
| Original language | English |
|---|---|
| Title of host publication | The Routledge International Handbook of Time Use Data and Methods |
| Editors | Michael Bittman, Oriel Sullivan |
| Place of Publication | Abingdon, United Kingdom |
| Pages | 159-171 |
| Volume | 1 |
| Edition | 1 |
| DOIs | |
| Publication status | Published - 26 Mar 2026 |
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