Abberger, B., Haschke, A., Wirtz, M., Kroehne, U., Bengel, J., & Baumeister, H. Development and Evaluation of a Computer Adaptive Test to Assess Anxiety in Cardiovascular Rehabilitation Patients. Archives of Physical Medicine and Rehabilitation. 2013; 94(12):2433–2439. doi:10.1016/j.apmr.2013.07.009
Akaike, H. A new look at the statistical model identification. Automatic Control IEEE Transactions on. 1974; 19(6):716–723. doi:10.1109/tac.1974.1100705
Andrich, D. A rating formulation for ordered response categories. Psychometrika. 1978; 43(4):561–573. doi:10.1007/bf02293814
Baker, F. B. Item Response Theory: Parameter Estimation Techniques. New York, NY: Marcel Dekker; 1992.
Bjorner, J. B., Kosinski, M., Ware, J. E. Calibration of an Item Pool for Assessing the Burden of Headaches: An Application of Item Response Theory to the Headache Impact Test (HIT™). Quality of Life Research. 2003; 12(8):913-933. doi:10.2307/4038949
Darrell Bock, R. Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika. 1972; 37(1):29–51. doi:10.1007/bf02291411
Bock, R. D., & Mislevy, R. J. Adaptive EAP Estimation of Ability in a Microcomputer Environment. Applied Psychological Measurement. 1982; 6(4):431–444. doi:10.1177/014662168200600405
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research. 1989; 28(2):193–213. doi:10.1016/0165-1781(89)90047-4
Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J., Bruce, B., & Rose, M. The patient-reported outcomes measurement information system (PROMIS): progress of an NIH roadmap cooperative group during its first two years. Medical Care. 2007; 45:S3-S11. doi: 10.1097/01.mlr.0000258615.42478.55
Chalmers, R. P. mirt: a multidimensional item response theory package for the r environment. Journal of Statistic Software. 2012; 48:1-29. doi:10.18637/jss.v048.i06
Chang, H. H., & Ying, Z. A global information approach to computerized adaptive testing. Applied Psychological Measurement. 1996; 20(3):213-229. doi:10.1177/01466216960200030
Cho, S., Drasgow, F., & Cao, M. An investigation of emotional intelligence measures using item response theory. Psychological Assessment. 2015; 27(4):1241–1252. doi:10.1037/pas0000132
Choi, S. W. Lordif: Logistic Ordinal Regression Differential Item Functioning Using IRT; 2015.
Coreteam, R. R: a language and environment for statistical computing. Computing. 2015; 14:12-21. doi:10.1890/0012-9658(2002)083[3097:CFHIWS]2.0.CO;2
Embretson, S., & Reise, S. P. Item Response Theory for Psychologists. Lawrence Erlbaum, Mahwah, NJ; 2000.
Flens, G., Smits, N., Terwee, C. B., Dekker, J., Huijbrechts, I., & de Beurs, E. Development of a Computer Adaptive Test for Depression Based on the Dutch-Flemish Version of the PROMIS Item Bank. Evaluation & the Health Professions. 2017; 40(1):79–105. doi:10.1177/0163278716684168
Gardner, W., Shear, K., Kelleher, K. J., Pajer, K. A., Mammen, O., Buysse, D., & Frank, E. Computerized adaptive measurement of depression: A simulation study. BMC Psychiatry. 2004; 4(1). doi:10.1186/1471-244x-4-13
Gibbons, C. J., & Skevington, S. M. Adjusting for cross-cultural differences in computer-adaptive tests of quality of life. Quality of Life Research. 2017; 27(4):1027–1039. doi:10.1007/s11136-017-1738-7
Hays, R. D., Martin, S. A., Sesti, A. M., & Spritzer, K. L. Psychometric properties of the Medical Outcomes Study Sleep measure. Sleep Medicine. 2015; 6(1):41–44. doi:10.1016/j.sleep.2004.07.006
Howard, W. Computerized adaptive testing: A primer. Hillsdale, NJ: Lawrence Erlbaum Associates; 1990
Jackson, M. J. Depression and anxiety in epilepsy. Journal of Neurology, Neurosurgery & Psychiatry. 2005; 76(suppl_1): i45–i47. doi:10.1136/jnnp.2004.06046
Johns, M. W. A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale. Sleep. 1991; 14(6):540–545. doi:10.1093/sleep/14.6.540
Joshua Breitstein Psy. D., Brandon Penix D. O., Bernard J. Roth M. D., Tristin Baxter AAS, Vincent Mysliwiec M. D., & F. A. A. S. M. Intensive sleep deprivation and cognitive behavioral therapy for pharmacotherapy refractory insomnia in a hospitalized patient. Journal of Clinical Sleep Medicine. 2014; 10:689-690. doi:10.5664/jcsm.3804
Kang, T., & Chen, T. T. Performance of the generalized S-X2 item fit index for polytomous IRT models. Journal of Educational Measurement. 2008; 4:383-395. doi:10.2307/20461906
Kirisci, L., Tarter, R., Reynolds, M., Ridenour, T., Stone, C., & Vanyukov, M. Computer adaptive testing of liability to addiction: Identifying individuals at risk. Drug and Alcohol Dependence. 2012; 123:S79–S86. doi:10.1016/j.drugalcdep.2012.01.016
Kocalevent, R. D., Rose, M., Becker, J., Walter, O. B., Fliege, H., Bjorner, J. B., … Klapp, B. F. An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception. Journal of Clinical Epidemiology. 2009; 62(3):278–287. doi:10.1016/j.jclinepi.2008.03.003
Lange, T., Dimitrov, S., & Born, J. Effects of sleep and circadian rhythm on the human immune system. Annals of the New York Academy of Sciences. 2010; 1193(1):48–59. doi:10.1111/j.1749-6632.2009.05300.x
Li, J. M. the Self-Rating Scale of Sleep (SRSS). China Journal of Health Psychology. 2012; 12:1851-1851.
Magis, D., & Raiche, G. Random generation of response patterns under computerized adaptive testing with the R package catR. Journal of Statistic Software. 2012; 48:1-31. doi:10.18637/jss.v048.i08
Magis, D., & Barrada, J. R. Computerized Adaptive Testing with R: recent updates of the package catR. Journal of Statistic Software. 2017; 76:1-19. doi:10.18637/jss.v076.c01
Maris, E. Estimating multiple classification latent class models. Psychometrika. 1999; 64(2):187–212. doi:10.1007/bf02294535
Meijer, R. R., & Nering, M. L. Computerized Adaptive Testing: Overview and Introduction. Applied Psychological Measurement. 1999; 23(3):187–194. doi:10.1177/01466219922031310
Morin, C. M. Insomnia: Psychological Assessment and Management. Guilford Press; 1993.
Muraki, E. A Generalized Partial Credit Model: Application of an EM Algorithm. Applied Psychological Measurement. 1992; 16(2):159–176. doi:10.1177/014662169201600206
O'Connor, B. P., Crawford, M. R., & Holder, M. D. An Item Response Theory Analysis of the Subjective Happiness Scale. Social Indicators Research. 2014; 124(1):249–258. doi:10.1007/s11205-014-0773-9
Perez, L., Huang, J., Jansky, L., Nowinski, C., Victorson, D., Peterman, A., & Cella, D. Using Focus Groups to Inform the Neuro-QOL Measurement Tool: Exploring Patient-Centered, Health-Related Quality of Life Concepts Across Neurological Conditions. Journal of Neuroscience Nursing. 2007; 39(6):342–353. doi:10.1097/01376517-200712000-00005
Reckase, M. D. Unifactor Latent Trait Models Applied to Multifactor Tests: Results and Implications. Journal of Educational Statistics. 1979; 4 (3):65–75. doi:10.2307/1164671
Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., Cella, D. Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-reported outcomes measurement information system (PROMIS). Medical Care. 2007; 45:S22–S31. doi:10.1097/01.mlr.0000250483.85507.04
Reise, S. P., & Waller, N. G. Item Response Theory and Clinical Measurement. Annual Review of Clinical Psychology. 2009; 5(1):27–48. doi:10.1146/annurev.clinpsy.032408.153553
Samejima, F. Estimation of latent ability using a response pattern of graded scores. ETS Research Bulletin Series. 1968; i–169. doi:10.1002/j.2333-8504.1968.tb00153.x
Samejima, F. Estimation of reliability coefficients using the test information function and its modification. Applied Psychological Measurement. 1994; 18:229-244. doi:10.1177/014662169401800304
Schisterman, E. F., Perkins, N. J., Liu, A., & Bondell, H. Optimal Cut-point and Its Corresponding Youden Index to Discriminate Individuals Using Pooled Blood Samples. Epidemiology. 2005; 16(1):73–81. doi:10.1097/01.ede.0000147512.81966
Schwarz, G. Estimating the Dimension of a Model. The Annals of Statistics 1978; 6(2):461–464. doi:10.1214/aos/1176344136
Smits, N., Cuijpers, P., Beekman, A. T. F., & Smit, J. H. Reducing the length of mental health instruments through structurally incomplete designs. International Journal of Methods in Psychiatric Research. 2007; 16(3):150–160. doi:10.1002/mpr.223
Smits, N., Cuijpers, P., & van Straten, A. Applying computerized adaptive testing to the CES-D scale: A simulation study. Psychiatry Research. 2011; 188(1):147–155. doi:10.1016/j.psychres.2010.12.001
Soldatos, C. R., Dikeos, D. G., & Paparrigopoulos, T. J. Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. Journal of Psychosomatic Research. 2000; 48(6):555–560. doi:10.1016/s0022-3999(00)00095-7
Spiegelhalter, D. J., Best, N. G., & Carlin, B. P. Bayesian deviance, the effective number of parameters, and the comparison of arbitrarily complex models. Research. Report. 1998; 98-109.
Spoormaker, V. I., Verbeek, I., van den Bout, J., & Klip, E. C. Initial Validation of the SLEEP-50 Questionnaire. Behavioral Sleep Medicine. 2005; 3(4):227–246. doi:10.1207/s15402010bsm0304_4
Stocking, M. L., Swanson, L. A method for severely constrained item selection in adaptive testing. Applied Psychological Measurement. 1993; 17:277- 292. doi:10.1177/014662169301700308
Swets, J. A. Measuring the accuracy of diagnostic systems. Science. 1998; 240:1285–93. doi:10.1126/science.3287615
Tan, Q., Cai, Y., Li, Q., Zhang, Y., & Tu, D. Development and Validation of an Item Bank for Depression Screening in the Chinese Population Using Computer Adaptive Testing: A Simulation Study. Frontiers in Psychology. 2018; 9. doi:10.3389/fpsyg.2018.01225
Wu, M. 300 million Chinese suffer from sleep disorders. The march wind. 2019; 4:7-7.
Yao, Y. M., Jiang, C. Q., Ma, X., Xi, Y. J., Tian, L., He, Y. Y., Zhang, H., & Yang, F. C. Content validity test of Beijing residents mental health scale. China Journal of Health Psychology. 2017; 25(6):873-877.
Zai, Q., Hou, J. C., & Fang, X. M. Sleep disorders have an influence on immune function and the development of sepsis. International Journal of Anesthesiology and Resuscitation. 2017; 38(10):934-937. doi:10.3760/cma.j.issn.1673-4378.2017.10.016
Zhang, L. Y., Kong, L. M., Zhang, Q. J., Tao, F. Y., Ma, A. G., Liu, Y., Gao, Y. F., Tu D. H., Su, W. J., & Wang L. J. Development and validity test of Chinese sleep disorder scale. World Journal of Sleep Medicine. 2014; 3:140-146.
Zhang, H. J., Zhao, Z. X. Main progress on the clinical research of sleep disorders. Journal of Neuroscience and Mental Health. 2015; 15(1):6-8. doi:10.3969/j.issn.1009-6574.2015.01.002