ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

Time-Use Analysis×記述統計×
分野Gender Studies統計学
系統Process / pipelineHypothesis test
提唱年19911977
提唱者Time-use survey methodologists (F. Thomas Juster; Jonathan Gershuny)John W. Tukey
種類Diary-based measurement and analysis of activity time allocationSummary procedure
原典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
別名Time Use Survey Analysis, Time Diary Analysis, Time Allocation Analysissummary statistics, exploratory data summary, Betimsel İstatistik
関連36
概要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.
ScholarGateデータセット
  1. v1
  2. 3 出典
  3. PUBLISHED
  1. v1
  2. 1 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Time-Use Analysis · Descriptive Statistics. 2026-06-24に以下より取得 https://scholargate.app/ja/compare