Rasch analysis of the Student Refractive Error and Eyeglass Questionnaire.

作者: Mabel Crescioni , Dawn H. Messer , Terri L. Warholak , Joseph M. Miller , J. Daniel Twelker

DOI: 10.1097/OPX.0000000000000270

关键词:

摘要: Multiple vision-related quality of life (VRQoL) instruments exist, but questionnaires designed specifically for children that are appropriate assessing the impact refractive error rare. For example, Children’s Visual Function Questionnaire1 and Impact Vision Impairment on Children Instrument2 have been validated to measure VRQoL in with significant non-correctable visual impairment3, 4 questions unsuitable measuring uncorrected error.1 Additionally, generic Pediatric Quality Life Inventory was not found be specific enough show adolescents.5 Five developed evaluation related error: The National Eye Institute Refractive Error Instrument (NEI-RQL-42),6 Status Profile Survey (RSVP)7, questionnaire8, (VFQoL) questionnaire9 Correction (QIRC) questionnaire.10 Khadka et.al.11 reported QIRC demonstrated highest psychometric properties, QIRC, as well other instruments, adults includes inappropriate assessment (questions regarding driving, paying bills, etc.). only questionnaire we were able identify correction (PREP).12 PREP, while psychometrically validated, has shown sensitive detect differences between spectacle contact lens children. Thus, used PREP framework developing a new address issue without spectacles use school-aged population. resulting is Student Eyeglasses Questionnaire (SREEQ)(Table 1). Table 1 Part A B Matching Items Rating Scale. The purpose this study Rasch analysis evaluate SREEQ validity determine if instrument suitable utilization sample middle high school Native American students from tribe prevalence astigmatism. This unique it captures allows comparison spectacles. provides insight into dimensionality constructs questionnaire, information about how items discriminate respondents, item difficulty targets person perceptions, response scale is. also transformation raw ordinal scores interval-level measurement (expressed log odds units, or logits) when data fit model.

参考文章(27)
Edward W. Wolfe, Chris W. T. Chiu, Measuring pretest-posttest change with a Rasch Rating Scale Model. Journal of outcome measurement. ,vol. 3, pp. 134- 161 ,(1999)
John M. Linacre, Investigating rating scale category utility. Journal of outcome measurement. ,vol. 3, pp. 103- 122 ,(1999)
Hwee-Bee Wong, David Machin, Say-Beng Tan, Tien-Yin Wong, Seang-Mei Saw, Visual impairment and its impact on health-related quality of life in adolescents. American Journal of Ophthalmology. ,vol. 147, pp. 505- 511 ,(2009) , 10.1016/J.AJO.2008.09.025
Leona S. Aiken, Stephen G. West, Invalidity of True Experiments Self-Report Pretest Biases Evaluation Review. ,vol. 14, pp. 374- 390 ,(1990) , 10.1177/0193841X9001400403
Jyoti Khadka, Colm McAlinden, Konrad Pesudovs, Quality assessment of ophthalmic questionnaires: review and recommendations. Optometry and Vision Science. ,vol. 90, pp. 720- 744 ,(2013) , 10.1097/OPX.0000000000000001
Gillian M. Cochrane, Manjula Marella, Jill E. Keeffe, Ecosse L. Lamoureux, The Impact of Vision Impairment for Children (IVI_C): validation of a vision-specific pediatric quality-of-life questionnaire using Rasch analysis. Investigative Ophthalmology & Visual Science. ,vol. 52, pp. 1632- 1640 ,(2011) , 10.1167/IOVS.10-6079
Jeffrey J Walline, Lisa A Jones, Monica Chitkara, Bradley Coffey, John Mark Jackson, Ruth E Manny, Marjorie J Rah, Mitchell J Prinstein, Karla Zadnik, Achieve Study Group, The Adolescent and Child Health Initiative to Encourage Vision Empowerment (ACHIEVE) study design and baseline data. Optometry and Vision Science. ,vol. 83, pp. 37- 45 ,(2006) , 10.1097/01.OPX.0000195566.94572.EB