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| Time-Use Analysis× | Περιγραφική Στατιστική× | |
|---|---|---|
| Πεδίο≠ | Gender Studies | Στατιστική |
| Οικογένεια≠ | Process / pipeline | Hypothesis test |
| Έτος προέλευσης≠ | 1991 | 1977 |
| Δημιουργός≠ | Time-use survey methodologists (F. Thomas Juster; Jonathan Gershuny) | John W. Tukey |
| Τύπος≠ | Diary-based measurement and analysis of activity time allocation | Summary procedure |
| Θεμελιώδης πηγή≠ | Juster, F. T., & Stafford, F. P. (1991). The allocation of time: Empirical findings, behavioral models, and problems of measurement. Journal of Economic Literature, 29(2), 471–522. link ↗ | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 |
| Εναλλακτικές ονομασίες | Time Use Survey Analysis, Time Diary Analysis, Time Allocation Analysis | summary statistics, exploratory data summary, Betimsel İstatistik |
| Συναφείς≠ | 3 | 6 |
| Σύνοψη≠ | Time-use analysis measures how people allocate their time across activities — paid work, unpaid domestic and care work, leisure, sleep, and more — typically using detailed daily diaries collected through time-use surveys. It is the foundational method for making visible the unpaid and care work that gross domestic product ignores, and it is central to gender studies because it quantifies the unequal division of household labor between women and men. | Descriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure. |
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