2. Embretson SE, Reise SP. Item response theory for psychologists. Mahwah(NJ): Erlbaum; 2000.
3. Thompson NA, Weiss DJ. A framework for the development of computerized adaptive tests. Pract Assess Res Eval 2011;16:1-9.
4. Weiss DJ. Computerized adaptive testing for effective and efficient measurement is counseling and education. Meas Eval Couns Dev 2004;37:70-84.
5. Luecht RM, Sireci SG. A review of models for computer-based testing. New York (NY): The College Board; 2011.
6. Eignor DR, Way WD, Stocking ML, Steffen M. Case studies in computer adaptive test design through simulation (RR-93-56). Princeton(NJ): Educational Testing Service; 1993.
7. Zara AR. An overview of the NCLEX/CAT beta test. Proceedings of the meeting of the American Educational Research Association; 1994 Mar; New Orleans, USA. American Educational Research Association1994.
8. Sands WA, Waters BK, McBride JR. Computerized adaptive testing: from inquiry to operation. Washington (DC): American Psychological Association; 1997.
10. Binet A, Simon TH. The development of intelligence in young children. Vineland (NJ): the Training School; 1916.
12. Lord FM. A theory of test scores. New York (NY): Psychometric Society; 1952.
14. Lord FM. Application of item response theory to practical testing problems. Hillsdale (NJ): Lawrence Erlbaum Associates; 1980.
15. Birnbaum A. Some latent trait models and their use in inferring an examinee’s ability. In: Lord FM, Novick MR, editor. s. Statistical theories of mental test scores. Reading (MA): Addison-Wesley; 1968.
16. Hambleton RK, Swaminathan H. Item response theory: principles and applications. Hingham (MA): Kluwer Boston Inc.; 1985.
18. Van der Linden WJ. How to make adaptive testing more efficient? Proceedings of the first annual conference of the International Association for Computerized Adaptive Testing; 2010 Jun 7-9; Arnhem, The Netherlands. [place unknown]. International Association for Computerized Adaptive Testing2010.
19. Seo DG. Application of the bifactor model to computerized adaptive testing [unpublished dissertation]. Minneapolis (MN): University of Minnesota; 2011.
21. Baker FB. Item response theory parameter estimation techniques. New York (NY): Marcel Dekker; 1992.
23. Castro F, Suarez J, Chirinos R. Competence’s initial estimation in computer adaptive testing. Proceedings of the first annual conference of the International Association for Computerized Adaptive Testing; 2010 Jun 7-9; Arnhem, The Netherlands. [place unknown]. International Association for Computerized Adaptive Testing2010.
30. Brown JM, Weiss DJ. An adaptive testing strategy for achievement test batteries. Minneapolis (MN): University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory; 1977.
31. Becker KA, Bergstrom BA. Test administration models. Pract Assess Res Eval 2013;18:1-7.
34. National Council of State Boards of Nursing. NCLEX-RN examination: detailed test plan for the National Council Licensure Examination for Registered Nurses: item writer/nurse educator version [Internet]. Chicago (IL): National Council of State Boards of Nursing; 2016 [cited 2017 May 18]. Available from:
https://www.ncsbn.org/2016_RN_DetTestPlan_Educator.pdf.
37. Cizek GJ, Bunch M. Standard setting: a guide to establishing and evaluating performance standards on test. Thousand Oaks (CA): Sage Publications; 2007.
38. Angoff WH. Scales, norms, and equivalent scores. In: Thorndike RL, editor. Educational measurement. Washington (DC): American Council on Education; 1971. p. 508-600.
39. American Psychological Association; American Psychological Association; National Council on Measurement in Education. Standards for educational and psychological testing. Washington (DC): American Educational Research Association; 1999.
43. Marco GL. Item characteristic curve solutions to three intractable testing problems. J Educ Meas 1977;14:139-160.
44. Haebara T. Equating ability scales by a weighted least squares method. Jpn Psychol Res 1980;22:144-149.