Recent papers on Subjectivity in Measurement and Analysis

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

  1. 0168 Consistency of Sleep Regularity Measurement from Subjective Recall vs Objective Measurement

    2026 · SLEEP · Robles, Yasmine, McHill, Andrew, Shafer, Brooke

    2026
  2. Depression and anxiety symptoms in adolescents across 30 countries: Cross-national measurement invariance and relationships with subjective well-being

    2026 · Journal of Affective Disorders · Jovanović, Veljko, Adams, Sabirah, Aritio-Solana, Rebeca et al.

    2026
  3. Bounds on Agreement between Subjective and Objective Measurements

    2026 · arXiv (Cornell University) · Pieper, Jaden, Voran, Stephen

    2026
  4. Healthcare Professionals’ Subjective Well-Being: A Systematic Review and Methodological Appraisal of Conceptual Models, Measurement Instruments, and Associated Factors

    2026 · International Journal of Environmental Research and Public Health · Skrūzkalne, Iluta, Nagle, Evija, Andersen, Otto et al.

    2026
  5. Subjective and objective sleep measurements in ICU Patients: A longitudinal analysis of 706 sleep episode pairs

    2026 · Intensive and Critical Care Nursing · Kang, Jiyeon, Cho, Hyeonjin

    2026
  6. Correlation of subjective and objective measurements of chronic pain: A Scoping Review Protocol

    2026 · OSF Preprints (OSF Preprints) · Alizadeh, Anita, Aleksandrova, Lily R., Eskandari, Amir

    2026
  7. Subjective and Objective Pericarp Colour Measurement in Block‐Red Kiwifruit

    2026 · New Zealand Journal of Crop and Horticultural Science · Ding, Zhicheng, Billing, D., Martin, Philip et al.

    2026
  8. Assessing Measurement Invariance of Subjective Well-Being Across European Countries

    2026 · Journal of Happiness Studies · Röck, Simon, Kleinheinz, Lukas, Walde, Janette F.

    2026
  9. SCOPE-PD: Explainable AI on Subjective and Clinical Objective Measurements of Parkinson's Disease for Precision Decision-Making

    2026 · arXiv (Cornell University) · Islam, Md Mezbahul, Templeton, John Michael, Sobhan, Masrur et al.

    2026
  10. Feasibility of gait analysis for children with cerebral palsy using inertial measurement units as a complement to subjective clinical assessments

    2026 · Results in Engineering · Quiguanas-López, Diana Maritza, Varón, Leonardo Antonio Bermeo, Camacho-Gama, Mayra Alejandra et al.

    2026
  11. Telling Us What You Experience: Effects of Questionnaire Interface Design on Subjective Measurements in Virtual Reality

    2026 · Repository KITopen (Karlsruhe Institute of Technology) · Küntzer, Lucas, Feick, Martin, Benzschawel, Max et al.

    2026
  12. Measurements of training readiness in elite football : An observational study of subjective and objective measurement methods in a real training environment

    2026 · DiVA (Linkoping University) · Ceder, Sebastian

    2026
  13. Parallel reaction monitoring (PRM) mass spectrometry is a highly sensitive and reproducible approach for targeted proteomics. However, its scalability is severely limited by a computational bottleneck, as standard data analysis tools heavily rely on subjective, time-consuming manual transition curation. To overcome this, we developed ProteoPRM, a fully automated, Python-based graphical user interface (GUI) specifically designed for peptide-centric PRM analysis. ProteoPRM integrates in silico peptide fragmentation modeling, machine learning-based rescoring via Mokapot, and probabilistic deconvolution to resolve complex chimeric spectra without requiring external spectral libraries or manual intervention. We benchmarked ProteoPRM against the manually curated industry-standard Skyline and the AI-driven CHIMERYS platform using a human serum dataset. ProteoPRM demonstrated near-perfect quantitative agreement with Skyline (Pearson r = 0.997) and strong alignment with CHIMERYS (r = 0.906). Furthermore, ProteoPRM achieved robust precision on raw, uncurated data (median CV ~18.0%), with many automated peptide measurements meeting the strict <20% CV threshold for targeted assays. Equipped with complementary tools for assay planning and machine learning-based retention time prediction, ProteoPRM provides a scalable, locally executed, high-throughput solution that eliminates manual bottlenecks in large-scale targeted proteomics.

    2026 · Open MIND · Mechref, Dr. Yehia

    2026
  14. Last Thoughts: Measurement Bias in Subjective Well-being

    2026 · SSRN Electronic Journal · Bossuroy, Thomas, Donald, Aletheia, Vaillant, Julia

    2026

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