Additional file 1 of Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries
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Notice bibliographique
Résumé
Additional file 1: Table A1. Sample size,percent females, mean, and standard deviation of age. Table A2. Distribution of the HBSC-SCL items (1-4). Table A3. Distribution of the HBSC-SCLitems (5-8). Table A4. Goodness offit statistics for the bifactor GRM. Table A5. Bifactor statistical indices. Table A6. Multigroup Model Fit. Table A7.Monte Carlo simulation results: Mean parameter stability. Figure A1. HBSC-SCL bar charts. Figure A2. HBSC-SCL polychoric correlations. Figure A3. Test for local dependency of the unidimensional GRM. Figure A4. Item fit statistics of theunidimensional GRM. Figure A5. Residualplots of the unidimensional GRM for ALB. FigureA6. Residual plots of the unidimensional GRM for ARM. Figure A7. Residual plots of the unidimensional GRM for AUT. Figure A8. Residual plots of theunidimensional GRM for AZE. Figure A9. Residual plots of the unidimensional GRM for BEL_FL. Figure A10. Residual plots of the unidimensional GRM for BEL_FR. Figure A11. Residual plots of theunidimensional GRM for BGR. Figure A12. Residual plots of the unidimensional GRM for CAN. Figure A13. Residual plots of the unidimensional GRM for CHE. Figure A14. Residual plots of theunidimensional GRM for CZE. Figure A15. Residual plots of the unidimensional GRM for DEU. Figure A16. Residual plots of the unidimensional GRM for DNK. Figure A17. Residual plots of theunidimensional GRM for ESP. Figure A18. Residual plots of the unidimensional GRM for EST. Figure A19. Residual plots of the unidimensional GRM for FIN. Figure A20. Residual plots of theunidimensional GRM for FRA. Figure A21. Residual plots of the unidimensional GRM for GB_ENG. Figure A22. Residual plots of the unidimensional GRM for GB_SCT. Figure A23. Residual plots of the unidimensionalGRM for GB_WLS. Figure A24. Residualplots of the unidimensional GRM for GEO. FigureA25. Residual plots of the unidimensional GRM for GRC. Figure A26. Residual plots of the unidimensional GRM for GRL. Figure A27. Residual plots of theunidimensional GRM for HRV. Figure A28. Residual plots of the unidimensional GRM for HUN. Figure A29. Residual plots of the unidimensional GRM for IRL. Figure A30. Residual plots of theunidimensional GRM for ISL. Figure A31. Residual plots of the unidimensional GRM for ISR. Figure A32. Residual plots of the unidimensional GRM for ITA. Figure A33. Residual plots of theunidimensional GRM for KAZ. Figure A34. Residual plots of the unidimensional GRM for LTU. Figure A35. Residual plots of the unidimensional GRM for LUX. Figure A36. Residual plots of theunidimensional GRM for LVA. Figure A37. Residual plots of the unidimensional GRM for MDA. Figure A38. Residual plots of the unidimensional GRM for MLT. Figure A39. Residual plots of theunidimensional GRM for NLD. Figure A40. Residual plots of the unidimensional GRM for NOR. Figure A41. Residual plots of the unidimensional GRM for POL. Figure A42. Residual plots of theunidimensional GRM for PRT. Figure A43. Residual plots ofthe unidimensional GRM for ROU. Figure A44. Residual plots of the unidimensional GRM for RUS. Figure A45. Residual plots of the unidimensional GRM for SRB. Figure A46. Residual plots of theunidimensional GRM for SVK. Figure A47. Residual plots of the unidimensional GRM for SVN. Figure A48. Residual plots of the unidimensional GRM for SWE. Figure A49. Residual plots of theunidimensional GRM for TUR. Figure A50. Residual plots of the unidimensional GRM for UKR. Figure A51. Item characteristic curves of the unidimensional GRM. Figure A52. Test characteristic curvesof the unidimensional GRM. Figure A53. Item information functions of the unidimensional GRM. Figure A54. Person-item map for the unidimensional GRM (ALB-DNK). Figure A55. Person-item map for theunidimensional GRM (ESP-HUN). Figure A56. Person-item map for the unidimensional GRM (IRL-NOR). Figure A57. Person-item map for theunidimensional GRM (POL-UKR). Figure A58. Comparing local dependency between items for the unidimensional andthe bifactor GRM. Figure A59. Comparing item fit between the unidimensional and the bifactor GRM. Figure A60. Comparing itemdiscrimination parameters between the unidimensional and the bifactor GRM. Figure A61. Comparing testcharacteristic curves between the unidimensional and the bifactor GRM. Figure A62. Comparing factor scoresbetween the unidimensional and the bifactor GRM. Figure A63. Comparing test information functions between theunidimensional and the bifactor GRM. Figure A64. Approximate (non-)invariant parameters across countries. Figure A65. Differential testfunctioning: Reference group: ARM. Figure A66. Differential test functioning: Reference group: AUT. Figure A67. Differential testfunctioning: Reference group: AZE. Figure A68. Differential test functioning: Reference group: BEL_FL. Figure A69. Differential testfunctioning: Reference group: BEL_FR. Figure A70. Differential test functioning: Reference group: CAN. Figure A71. Differential testfunctioning: Reference group: CHE. Figure A72. Differential test functioning: Reference group: CZE. Figure A73. Differential testfunctioning: Reference group: DEU. Figure A74. Differential test functioning: Reference group: DNK. Figure A75. Differential testfunctioning: Reference group: ESP. Figure A76. Differential test functioning: Reference group: FIN. Figure A77. Differential testfunctioning: Reference group: FRA. Figure A78. Differential test functioning: Reference group: GB_SCT. Figure A79. Differential test functioning:Reference group: GB_WLS. Figure A80. Differential test functioning: Reference group: GRC. Figure A81. Differential test functioning: Reference group: HRV. Figure A82. Differential test functioning:Reference group: IRL. Figure A83. Differential test functioning: Reference group: ISL. Figure A84. Differential test functioning: Reference group: ISR. Figure A85. Differential test functioning:Reference group: KAZ. Figure A86. Differential test functioning: Reference group: LTU. Figure A87. Differential test functioning: Reference group: LVA. Figure A88. Differential testfunctioning: Reference group: MDA. Figure A89. Differential test functioning: Reference group: MLT. Figure A90. Differential testfunctioning: Reference group: NLD. Figure A91. Differential test functioning: Reference group: NOR. Figure A92. Differential testfunctioning: Reference group: PRT. Figure A93. Differential test functioning: Reference group: SVK. Figure A94. Differential testfunctioning: Reference group: SWE. Figure A95. Differential test functioning: Reference group: TUR. Figure A96. Heatmap of sDRF and uDRF. Figure A97. Scatterplot with factorscores and manifest sum scores. Figure A98. Means of manifest sum scores and factor scores. Figure A99. Factor score distribution. Figure A100. Item and test information functions of the alignmentmodel.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,507 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,987 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle