Search

Despite the acknowledged complexity and time pressures of early childhood educators' work, very few studies have examined the nature of this work, minute-by-minute, over the working day. This paper reports on data gathered through 10,155 time-use diary (TUD) records provided by 321 educators participating in the Exemplary Early Childhood Educators at Work Australian Research Council Linkage Project. Participants were recruited from preschool/kindergarten and long day care centres that had achieved a rating of Exceeding the Australian National Quality Standard on all seven Quality Areas. Analyses of this extensive dataset illustrate the rhythm and diversity of educators' work across a typical day and identify the similarities and differences in worktime distributions for educators working in preschool vs. long day care settings, and for educators with different qualifications and positional responsibilities. The findings suggest differential allocations of worktime that raise important considerations for achieving high quality early childhood education and care services. [ABSTRACT FROM AUTHOR]

This study provides a new test of time-use diary methodology, comparing diaries with a pair of objective criterion measures: wearable cameras and accelerometers. A volunteer sample of respondents (n = 148) completed conventional self-report paper time-use diaries using the standard UK Harmonised European Time Use Study (HETUS) instrument. On the diary day, respondents wore a camera that continuously recorded images of their activities during waking hours (approximately 1,500–2,000 images/day) and also an accelerometer that tracked their physical activity continuously throughout the 24-hour period covered by the diary. Of the initial 148 participants recruited, 131 returned usable diary and camera records, of whom 124 also provided a usable whole-day accelerometer record. The comparison of the diary data with the camera and accelerometer records strongly supports the use of diary methodology at both the aggregate (sample) and individual levels. It provides evidence that time-use data could be used to complement physical activity questionnaires for providing population-level estimates of physical activity. It also implies new opportunities for investigating techniques for calibrating metabolic equivalent of task (MET) attributions to daily activities using large-scale, population-representative time-use diary studies. [ABSTRACT FROM AUTHOR]