Relative precision, efficiency and construct validity of different starting and stopping rules for a computerized adaptive test: The GAIN substance problem scale

Journal of Applied Measurement

Volumn 8, Issue 1, 2007, Pages 48-64

  Riley, Barth B ^a   Conrad, Kendon J ^a   Bezruczko, Nikolaus ^b   Dennis, Michael L ^c  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b Measurement and Evaluation Consulting

^c Chestnut Health System

Author keywords

[No Author keywords available]

Indexed keywords

ADDICTION; ADOLESCENT; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; MALE; PSYCHOLOGICAL MODEL; QUESTIONNAIRE;

ADOLESCENT; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MALE; MODELS, PSYCHOLOGICAL; QUESTIONNAIRES; SUBSTANCE-RELATED DISORDERS;

EID: 34247276596     PISSN: 15297713     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (44)

1. Alexander, J. E., and Davidoff, D. A. (1990). Psychological testing, computers and aging. Journal of Technology and Aging, 3, 47-56.
2. th ed.). Washington DC: Author.
3. th rev. ed.). Washington DC: Author.
4. nd ed.). Chevy Chase, MD: Author.
5. Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 45, 561-573.
6. Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee's ability. In F. M. Lord and M. R. Novick, (Eds.), Statistical theories of mental test score. London: Addison-Wesley.
7. Borland, R., Balmford, J., and Hunt, D. (2004). The effectiveness of personally tailored computer-generated advice letters for smoking cessation. Addiction, 99, 369-377.
8. Carr, A. C., and Ghash, A. (1983). Response of phobic patients to direct computer assessments. British Journal of Psychiatry, 142, 60-65.
9. Chang, C. H., and Gehlert, S. (2003). The Washington psychosocial seizure inventory (WPSI): psychometric evaluation and future applications. Seizure, 12(5), 261-267.
10. Cory, C. H., and Rimland, B. (1977). Using computerized tests to measure new dimensions of abilities: An exploratory study. Applied Psychological Measurement, 1(1), 101-110.
11. Dennis, M. L., Godley, S. H., Diamond, G., Tims, F. M., Babor, T., Donaldson, J., et al. (2004). The cannabis youth treatment (CYT) study: Main findings from two randomized trials. Journal of Substance Abuse Treatment, 27, 197-213.
12. Dennis, M. L., Scott, C. K., and Funk, R. (2003). An experimental evaluation of recovery management checkups (RC) for people with chronic substance use disorders. Evaluation and Program Planning, 26, 339-352.
13. Dennis, M. L., Titus, J. C., Diamond, G., Donaldson, J., Godley, S. H., Tims, F. M., et al. (2002). The cannabis youth treatment (CYT)experiment: Rationale, study design and analysis plans. Addiction, 97(Suppl 1), 16-34.
14. Dennis, M. L., Titus, J. C., White, M. K., Unsicker, J., and Hodgkins, D. (2003). Global appraisal of individual needs: Administration guide for the GAIN and related measures. BIoomington, IL: Chestnut Health Systems. Retrieved September 29, 2005, from www. chestnut.org/li/gain
15. DeWitt, L. J. (1974). A computer software system for adaptive ability measurement. Minneapolis, MN: University of Minnesota.
16. Dijkers, M. P. (2003). A computerized adaptive testing simulation applied to the FIM instrument motor component. Archives of Physical Medicine and Rehabilitation, 84(3), 384-393.
17. Eggen, T. J. H. M., and Straetmans, G. J. J. M. (2000). Computerized adaptive testing for classifying examinees into three categories. Educational and Psychological Measurement, 60(5), 713-734.
18. Halberg, K. J., Duncan, L. E., Mitchell, N. Z., Hendrick, F. T., and Jones, D. B. (1986). Use of computers in assessment: A potential solution to the documentation dilemma of the archives coordinator. Archives, Adaptation and Aging, 8, 69-80.
19. Halkitis, P. N. (1998). The effect of item pool restriction on the precision of ability measurement for a Rasch-based CAT: comparisons to traditional fixed length examinations. Journal of Outcome Measurement, 2(2), 97-122.
20. Hambleton, R., Swainatban, H., and Rogers, H. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.
21. Hornke, L. F. (1999). Benefits from computerized adaptive testing as seen in simulation studies. European Journal of Psychological Assessment, 15(2), 91-98.
22. Kreiter, C. D., Ferguson, K., and Gruppen, L. D. (1999). Evaluating the usefulness of computerized adaptive testing for medical in-course assessment. Academic Medicine, 74(10), 1125-1128.
23. Lai, J. S., Cella, D., Chang, C. H., Bode, R. K., and Heinemann, A. W. (2003). Item banking to improve, shorten and computerize self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale. Quality of Life Research, 12(5), 485-501.
24. Lai, J. S., Cella, D., Dineen, K., Bode, R., Von Roenn, J., Gershon, R. C., et al. (2005). An item bank was created to improve the measurement of cancer-related fatigue. Journal of Clinical Epidemiology, 58(2), 190-197.
25. Lewis, G., Pelosi, A. J., Glover, E., Wilinson, G., Stanfield, S. A., and P., W. (1988). The development of a computerized assessment for minor psychiatric disorder. Psychological Medicine, 18, 737-745.
26. Linacre, J. M. (1998). Estimating measures with known polytomous item difficulties. Rasch Measurement Transactions, 12(2) 638.
27. Linacre, J. M. (2002). WINSTEPS [Computer program]. Chicago: MESA Press.
28. Lord, F. M. (1980). Application of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum.
29. Lord, F. M., and Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
30. Lunz, M. E., and Bergstrom, B. A. (1994). An empirical study of computerized adaptive test administration conditions. Journal of Educational Measurement, 31(3), 251-263.
31. Lunz, M. E., and Deville, C. W. (1996). Validity of item selection: A comparison of automated computerized adaptive and manual paper and pencil examinations. Teaching and Learning in Medicine, 8(3), 152-157.
32. McKinley, R. L., and Recase, M. D. (1980). Computer applications to ability testing. Association for Educational Data Systems Journal, 13, 193-203.
33. McLellan, A. T., Carise, D., and Kleber, H. D. (2003). Can the national addiction treatment infastructure support the public's demand for quality care? Journal of Substance Abuse Treatment, 25, 117-121.
34. Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen, Denmark: Danish Institute for Educational Research. (Expanded edition, 1980. Chicago: University of Chicago Press.)
35. Reich, W., Cottler, L., McCallum, K., Corwin, D., and VanEerdewegh, M. (1995). Computerized interviews as a method of assessing psychopathology in children. Comprehensive Psychology, 36, 40-45.
36. Simms, L. J., and Clark, L. J. (2005). Validation of a computerized adaptive version of the Schedule of Non-Adaptive and Adaptive Personality (SNAP). Psychological Assessment, 17(1), 28-43.
37. nd ed.). Mahwah, NJ: Lawrence Erlbaum.
38. Weiss, D. J. (1985). Adaptive testing by computer. Journal of Consulting and Clinical Psychology, 53(6), 774-789.
39. Weiss, D. J., and Kingsbury, G. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361-375.
40. Wendt, A., and Surges Tatum, D. (2005) Credentialing health care professions. In N. Bezruczko (Ed.), Rasch measurement in health sciences. Maple Grove, MN: JAM Press.
41. Wilson, M. (2005). Constructing measures: An item response modeling approach. Mahwah, NJ: Lawrence Erlbaum.
42. Wisniewski, D. R. (1986). An application of the Rasch model to computerized adaptive testing: The binary search method (Doctoral dissertation, Wayne State University, 1985). Dissertation Abstracts International, 47(1-A), 159.
43. Wright, B. D., and Masters, G. N. (1982). Rating scale analysis. Chicago: MESA Press.
44. Wright, B. D., and Stone, M. H. (1979). Best test design. Chicago: MESA Press.