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    <responseDate>2026-10-14T20:18:01Z</responseDate>
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    <identifier>10.57760/sciencedb.42859</identifier>
    <datestamp>2026-07-13T14:50:21Z</datestamp>
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  <dc:date>2026-07-13</dc:date>
  <dc:title>Python scripts for CBTI video quality and engagement analysis</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.42859</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the Python scripts used for statistical analysis in the study &amp;quot;Cross-Platform Evaluation of Cognitive Behavioral Therapy for Insomnia (CBTI) Content Quality on Chinese Social Media: A Comparative Analysis of Chinese Short-Video Platforms&amp;quot;. The scripts perform the following analyses: (1) Composite Quality Index (CQI) calculation with Min-Max normalization and weighted averaging; (2) Engagement Score computation using hierarchical weights (likes, comments, shares, collections); (3) Spearman rank correlation analysis with Fisher z-transformation for 95% confidence intervals; (4) Exploratory Factor Analysis (EFA) on engagement metrics; and (5) Sensitivity analysis for both CQI and engagement weighting schemes. The code is accompanied by a README file and a requirements.txt file listing all dependencies.</dc:description>
  <dc:subject>Cognitive Behavioral Therapy for Insomnia; CBTI; social media; short-video platforms; content quality; engagement metrics; Spearman correlation; exploratory factor analysis; sensitivity analysis; health communication</dc:subject>
  <dc:creator>Ye Miaoyu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.21203/rs.3.rs-9422268/v1</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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