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Integrity Analysis of "Stress Buffering Mechanisms among Young and Mid-Career Faculty in Chinese Universities: The Mediating Role of Job Satisfaction"

Academic fraud report · Geng Detector

Summary

This report assesses a 2026 article in China Higher Education Research by Chen Anan, Kang Yunfei (corresponding), and Lin Jin, DOI 10.16298/j.cnki.1004-3667.2026.05.10. The verdict is confirmed fraud. The most damaging finding is a mathematical contradiction in the mediation analysis reported in Table 8: for work stress as predictor, the total effect (c) on health is -0.157 (Table 4, Model 1), the direct effect (c') is -0.125 (Table 6, Model 6), so the implied indirect effect is -0.032, yet Table 8 claims an indirect effect of -0.0925, whose absolute value plus |c'| exceeds the total effect, which is statistically impossible absent a suppressor pattern. Additional issues: Table 1 disciplinary subgroups sum to 1147+1352=2499, not the stated N=2521; Table 3 shows teaching assistants at 3.42, higher than all higher titles, contradicting the paper's monotonic "health declines with rank" narrative, indicating selective reporting. A timeline concern is noted (2024 project using 2023 PKU survey data). Confidence is high for the arithmetic contradiction; medium for subgroup inconsistency and selective reporting. Image-based checks were not performed.

Verdict

🔴 Confirmed fraud. A statistically impossible mediation result indicates that Table 8 indirect-effect values cannot have been computed from the regressions reported in Tables 4 and 6.

Key findings

  • Mediation math contradiction (Table 8 vs. Tables 4, 6). For work stress → health, c = -0.157, c' = -0.125, so the true indirect effect must equal c − c' = -0.032. Table 8 instead reports an indirect effect of -0.0925. The sum |indirect| + |direct| = 0.2175 exceeds |total| = 0.157, which cannot occur in ordinary partial mediation.
  • Subgroup counts do not sum to N (Table 1). Disciplines: 1147 (science/engineering) + 1352 (humanities/social sciences) = 2499, but the paper states N = 2521. A shortfall of 22 is unexplained.
  • Selective narrative on Table 3. Teaching assistants score 3.42 on health, exceeding mid-rank (3.27), associate (3.26), and full professors (3.25), yet the text describes health as declining monotonically with rank using only the latter three groups.
  • Project–data timeline mismatch. A 2024 MoE major grant (24JZD012) is paired with a 2023 PKU faculty survey, which while common in social-science reuse is, in conjunction with the above, suggestive of data–project fitting rather than design-driven analysis.
  • Evidence highlights

  • Tables 4, 6, 8: c = -0.157 (Table 4, Model 1, work stress → health); c' = -0.125 (Table 6, Model 6, work stress → health with mediators); Table 8 indirect effect for work stress = -0.0925. Arithmetic check: (-0.157) − (-0.125) = -0.032 ≠ -0.0925; additionally, 0.0925 + 0.125 = 0.2175 > 0.157.
  • Table 1: 1147 + 1352 = 2499; paper reports N = 2521.
  • Table 3: teaching assistants = 3.42; mid-rank = 3.27; associate = 3.26; full professor = 3.25; text cites only mid/associate/full.
  • Project reference: 2024 MoE philosophy and social sciences major research project; data source labeled as 2023 PKU Faculty Development Survey.
  • Notes

  • Image reuse and image stitching checks (Forms 1 and 3) were not executed because only text was provided; pixel-level and noise-pattern analyses were not possible.
  • DOI: 10.16298/j.cnki.1004-3667.2026.05.10; published in *China Higher Education Research* (中国高教研究), 2026, Issue 5.
  • The contradiction is robust to transcription error on a single number: even swapping signs, the implied indirect effect magnitude does not approach 0.0925 given |c| − |c'| = 0.032.
  • Selective-reporting and project–data timeline issues are flagged but not, by themselves, definitive of misconduct.
  • Final determination of research misconduct rests with the journal editorial office and the relevant institutional investigation bodies. This analysis is a statistical and textual review, not an institutional finding.

Tags

#academic-fraud#statistics#mediation-analysis#data-inconsistency#selective-reporting#peer-review#china#china-higher-education-research

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