148 Chapter 5 48. Prinsen CAC, Mokkink LB, Bouter LM, et al. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27(5):1147-1157. doi:10.1007/s11136-018-1798-3 49. Segawa E, Schalet B, Cella D. A comparison of computer adaptive tests (CATs) and short forms in terms of accuracy and number of items administrated using PROMIS profile. Qual Life Res. 2020;29(1):213-221. doi:10.1007/s11136-019-02312-8 50. Crins MHP, Terwee CB, Klausch T, et al. The Dutch–Flemish PROMIS Physical Function item bank exhibited strong psychometric properties in patients with chronic pain. J Clin Epidemiol. 2017;87:47-58. doi:10.1016/j.jclinepi.2017.03.011 51. Varni JW, Stucky BD, Thissen D, et al. PROMIS Pediatric Pain Interference Scale: An Item Response Theory Analysis of the Pediatric Pain Item Bank. The Journal of Pain. 2010;11(11):1109-1119. doi:10.1016/j.jpain.2010.02.005 52. Raju NS, Price LR, Oshima TC, Nering ML. Standardized Conditional SEM: A Case for Conditional Reliability. Appl Psychol Meas. 2007;31(3):169-180. doi:10.1177/0146621606291569 53. Trizano-Hermosilla I, Alvarado JM. Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements. Perspective. Front Psychol. 2016;7doi:10.3389/fpsyg.2016.00769 54. Sijtsma K. On the Use, the Misuse, and the Very Limited Usefulness of Cronbach's Alpha. Psychometrika. 2009;74(1):107-120. doi:10.1007/s11336-008-9101-0 55. Lance CE, Butts MM, Michels LC. The Sources of Four Commonly Reported Cutoff Criteria:What Did They Really Say? Organizational Research Methods. 2006;9(2):202-220. doi:10.1177/1094428105284919 56. Terwee CB, Bot SDM, de Boer MR, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34-42. doi:10.1016/j.jclinepi.2006.03.012 57. Atiq F, Mauser-Bunschoten EP, Eikenboom J, et al. Sports participation and physical activity in patients with von Willebrand disease. Haemophilia. 2019;25(1):101-108. doi:10.1111/hae.13629 58. Malkewitz CP, Schwall P, Meesters C, Hardt J. Estimating reliability: A comparison of Cronbach's α, McDonald's ωt and the greatest lower bound. Social Sciences & Humanities Open. 2023;7(1):100368. doi:10.1016/j.ssaho.2022.100368 59. van der Willik EM, van Breda F, van Jaarsveld BC, et al. Validity and reliability of the Patient-Reported Outcomes Measurement Information System (PROMIS®) using computerized adaptive testing in patients with advanced chronic kidney disease. Nephrology Dialysis Transplantation. 2022;38(5):1158-1169. doi:10.1093/ndt/gfac231 60. ten Klooster PM, Vonkeman HE, Taal E, et al. Performance of the Dutch SF-36 version 2 as a measure of health-related quality of life in patients with rheumatoid arthritis. Health and Quality of Life Outcomes. 2013;11(1):77. doi:10.1186/1477-752511-77 61. Morris SB, Bass M, Howard E, Neapolitan RE. Stopping Rules for Computer Adaptive Testing When Item Banks Have Nonuniform Information. Int J Test. 2020;20(2):146-168. 62. van Hoorn ES, Lingsma HF, Cnossen MH, Gouw SC, for the SYMPHONY consortium. Patient-relevant health outcomes for von Willebrand disease, platelet function disorders, and rare bleeding disorders: a Delphi study. Res Pract Thromb Haemost. 2023;7(7):102201. doi:10.1016/j.rpth.2023.102201
RkJQdWJsaXNoZXIy MTk4NDMw