Skip to main navigation Skip to search Skip to main content

The intensive hour technique: random time sampling

Michael Bittman, Linda Harrison, Sandie M. Wong

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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 languageEnglish
Title of host publicationThe Routledge international handbook of time use data and methods
Subtitle of host publicationtime use research volume 1
EditorsMichael Bittman, Oriel Sullivan
Place of PublicationLondon ; New York
PublisherTaylor and Francis
Chapter12
Pages159-171
Number of pages13
ISBN (Electronic)9781040863053, 9781003664529
ISBN (Print)9781041123934, 9781041123941
DOIs
Publication statusPublished - 2026

Publication series

NameRoutledge International Handbooks
PublisherRoutledge

Fingerprint

Dive into the research topics of 'The intensive hour technique: random time sampling'. Together they form a unique fingerprint.

Cite this