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    <identifier>10.57760/sciencedb.psych.00980</identifier>
    <datestamp>2026-01-28T09:43:34Z</datestamp>
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  <dc:date>2026-01-28</dc:date>
  <dc:title>CSPTP-GA Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.psych.00980</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is for review and use by reviewers. The open use of this dataset will be unlocked after the author's paper is officially published;&amp;nbsp;The dataset includes all the raw data, data processing procedures, and R code of the paper;&amp;nbsp;The dataset is divided into three parts: the training set for genetic algorithms, the validation set, and the empirical dataset;&amp;nbsp;The research subjects of the three datasets are Chinese young people aged 18-35, with educational backgrounds ranging from college, undergraduate, and graduate. The survey period is from 2024 to 2025;&amp;nbsp;The content of the scale includes the College Students' Time Poverty Perception Scale (CSPTP), State Anxiety Inventory (SSAI), and the Simplified Scale for College Students' Time Poverty Perception (CSPTP-GA) developed through research;&amp;nbsp;All data have good reliability and validity, and have passed the CMB test.&amp;nbsp;</dc:description>
  <dc:subject>CSPTP-GA; Machine Learning; Data</dc:subject>
  <dc:creator>Cheng</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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