Curtailment and Stochastic Curtailment to Shorten the CES-D

Applied Psychological Measurement

Volumn 36, Issue 8, 2012, Pages 632-658

  Finkelman, Matthew D ^a   Smits, Niels ^b   Kim, Wonsuk ^c   Riley, Barth ^d  

^a TUFTS UNIVERSITY SCHOOL OF DENTAL MEDICINE   (United States)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

^c Measured Progress   (United States)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

CES D; computerized adaptive testing; curtailment; respondent burden; stochastic curtailment

Indexed keywords

EID: 84867355056     PISSN: 01466216     EISSN: 15523497     Source Type: Journal    
DOI: 10.1177/0146621612451647     Document Type: Article

References (84)

1. Adams L. M.,Gale D.Solving the quandary between questionnaire length and response rate in educational research.Research in Higher Education. 1982;17:231-240.
2. Diagnostic and statistical manual of mental disorders. 1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.Washington, DC: Author; 1994:.
3. Bartroff J.,Finkelman M.,Lai T. L.Modern sequential analysis and its applications to computerized adaptive testing.Psychometrika. 2008;73:473-486.
4. Breslau N.Depressive symptoms, major depression, and generalized anxiety: A comparison of self-reports on CES-D and results from diagnostic interviews.Psychiatry Research. 1985;15:219-229.
5. Carpenter J. S.,Andrykowski M. A.,Wilson J.,Hall L. A.,Rayens M. K.,Sachs B.,Cunningham L. L.Psychometrics for two short forms of the Center for Epidemiologic Studies-Depression Scale.Issues in Mental Health Nursing. 1998;19:481-494.
6. Chabrol H.,Montovany A.,Chouicha K.,Duconge E.Study of the CES-D on a sample of 1,953 adolescent students.Encephale. 2002;28:429-432.
7. Chang H.-H.,Mazzeo J.,Roussos L.Detecting DIF for polytomously scored items: An adaptation of the SIBTEST procedure.Journal of Educational Measurement. 1996;33:333-353.
8. Chang H.-H.,Ying Z.A global information approach to computerized adaptive testing.Applied Psychological Measurement. 1996;20:213-229.
9. Chang Y.-C. I.Application of sequential interval estimation to adaptive mastery testing.Psychometrika. 2005;70:685-713.
10. Choi S. W.,Reise S. P.,Pilkonis P. A.,Hays R. D.,Cella D.Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms.Quality of Life Research. 2010;19:125-136.
11. Cole J. C.,Rabin A. S.,Smith T. L.,Kaufman A. S.Development and validation of a Rasch-derived CES-D short form.Psychological Assessment. 2004;16:360-372.
12. Compton W. M.,Conway K. P.,Stinson F. S.,Grant B. F.Changes in the prevalence of major depression and comorbid substance use disorders in the United States between 1991-1992 and 2001-2002.American Journal of Psychiatry. 2006;163:2141-2147.
13. Crane P. K.,Gibbons L. E.,Jolley L.,van Belle G.Differential item functioning analysis with ordinal logistic regression techniques: DIFdetect and difwithpar.Medical Care. 2006;44:S115-S123.
14. Cuijpers P.,Boluijt P.,van Straten A.Screening of depression in adolescents through the Internet: Sensitivity and specificity of two screening questionnaires.European Child & Adolescent Psychiatry. 2008;17:32-38.
15. Davis B. R.,Hardy R. J.Data monitoring in clinical trials: The case for stochastic curtailment.Journal of Clinical Epidemiology. 1994;47:1033-1042.
16. Dodd B. G.,De Ayala R. J.,Koch W. R.Computerized adaptive testing with polytomous items.Applied Psychological Measurement. 1995;19:5-22.
17. Eggen T. J. H. M.Item selection in adaptive testing with the sequential probability ratio test.Applied Psychological Measurement. 1999;23:249-261.
18. Eggen T. J. H. M.,Straetmans G. J. J. M.Computerized adaptive testing for classifying examinees into three categories.Educational and Psychological Measurement. 2000;60:713-734.
19. Eisenberg B.,Ghosh B. K.Curtailed and uniformly most powerful sequential tests.Annals of Statistics. 1980;8:1123-1131.
20. Eisenberg B.,Simons G.On weak admissibility of tests.Annals of Statistics. 1978;6:319-332.
21. Embretson S. E.,Reise S. P.Item response theory for psychologists. Mahwah, NJ: Erlbaum; 2000:.
22. Fechner-Bates S.,Coyne J. C.,Schwenk T. L.The relationship of self-reported distress to depressive disorders and other psychopathology.Journal of Consulting and Clinical Psychology. 1994;62:550-559.
23. Finkelman M.On using stochastic curtailment to shorten the SPRT in sequential mastery testing.Journal of Educational and Behavioral Statistics. 2008;33:442-463.
24. Finkelman M. D.Variations on stochastic curtailment in sequential mastery testing.Applied Psychological Measurement. 2010;34:27-45.
25. Finkelman M. D.,He Y.,Kim W.,Lai A. M.Stochastic curtailment of health questionnaires: A method to reduce respondent burden.Statistics in Medicine. 2011;30:1989-2004.
26. Fries J. F.,Cella D.,Rose M.,Krishnan E.,Bruce B.Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing.Journal of Rheumatology. 2009;36:2061-2066.
27. Gibbons R. D.,Weiss D. J.,Kupfer D. J.,Frank E.,Fagiolini A.,Grochocinski V. J.,Immekus J. C.Using computerized adaptive testing to reduce the burden of mental health assessment.Psychiatric Services. 2008;59:361-368.
28. Glassman A. H.,Shapiro P. A.Depression and the course of coronary artery disease.American Journal of Psychiatry. 1998;155:4-11.
29. Grzywacz J. G.,Hovey J. D.,Seligman L. D.,Arcury T. A.,Quandt S. A.Evaluating short-form versions of the CES-D for measuring depressive symptoms among immigrants from Mexico.Hispanic Journal of Behavioral Sciences. 2006;28:404-424.
30. Hambleton R. K.,de Gruijter D. N. M.Application of item response models to criterion-referenced test item selection.Journal of Educational Measurement. 1983;20:355-367.
31. Hambleton R. K.,Swaminathan H.Item response theory: Principles and applications. Boston, MA: Kluwer; 1985:.
32. Hambleton R. K.,Swaminathan H.,Rogers H. J.Fundamentals of item response theory. Newbury Park, CA: SAGE; 1991:.
33. Herzog A. R.,Bachman J. G.Effects of questionnaire length on response quality.Public Opinion Quarterly. 1980;45:549-559.
34. Differential item functioning. Holland P. W.Wainer H., ed. Hillsdale, NJ: Erlbaum; 1993:.
35. Hosmer D. W.,Lemeshow S.Applied logistic regression. New York, NY: Wiley; 1989:.
36. Kessler R. C.,McGonagle K. A.,Zhao S.,Nelson C. B.,Hughes M.,Eshelman S.,Kendler K. S.Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: Results from the National Comorbidity Study.Archives of General Psychiatry. 1994;51:8-19.
37. 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;62:278-287.
38. Kohout F. J.,Berkman L. F.,Evans D. A.,Cornoni-Huntley J.Two shorter forms of the CES-D depression symptoms index.Journal of Aging and Health. 1993;5:179-193.
39. Lan K. K. G.,Simon R.,Halperin M.Stochastically curtailed tests in long-term clinical trials.Communications in Statistics-Sequential Analysis. 1982;1:207-219.
40. Leung D. H.-Y.,Wang Y.-G.,Amar D.Early stopping by using stochastic curtailment in a three-arm sequential trial.Applied Statistics. 2003;52:139-152.
41. Lewis C.,Sheehan K.Using Bayesian decision theory to design a computerized mastery test.Applied Psychological Measurement. 1990;14:367-386.
42. Lord F. M.Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum; 1980:.
43. McKinley R. L.,Mills C. N.A comparison of several goodness-of-fit statistics.Applied Psychological Measurement. 1985;9:49-57.
44. Mitchell A. J.,Coyne J. C.Do ultra-short screening instruments accurately detect depression in primary care? A pooled analysis and meta-analysis of 22 studies.British Journal of General Practice. 2007;57:144-151.
45. Mojarrad Y.,Lennings C. J.Examination of the Centre for Epidemiological Studies Depression Scale (CES-D) in an adolescent mental health sample.Journal of Applied Health Behaviour. 2002;4:1-6.
46. Mokken R. J.A theory and procedure of scale analysis. The Hague, the Netherlands: Mouton; 1971:.
47. Moreno K. E.,Wetzel C. D.,McBride J. R.,Weiss D. J.Relationship between corresponding Armed Services Vocational Aptitude Battery and computerized adaptive testing subtests.Applied Psychological Measurement. 1984;8:155-163.
48. Muraki E.A generalized partial credit model: Application of an EM algorithm.Applied Psychological Measurement. 1992;16:159-176.
49. The global burden of disease: A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Murray C. J. L.Lopez A. D., ed. Cambridge, MA: Harvard University Press; 1996:.
50. Myers J. K.,Weissman M. M.Use of a self-report symptom scale to detect depression in a community sample.American Journal of Psychiatry. 1980;137:1081-1084.
51. Pandya R.,Metz L.,Patten S. B.Predictive value of the CES-D in detecting depression among candidates for disease-modifying multiple sclerosis treatment.Psychosomatics. 2005;46:131-134.
52. Poulin C.,Hand D.,Boudreau B.Validity of a 12-item version of the CES-D used in the national longitudinal study of children and youth.Chronic Diseases in Canada. 2005;26:65-72.
53. Prescott C. A.,McArdle J. J.,Hishinuma E. S.,Johnson R. C.,Miyamoto R. H.,Andrade N. N.,Carlton B. S.Prediction of major depression and dysthymia from CES-D scores among ethnic minority adolescents.Journal of the American Academy of Child & Adolescent Psychiatry. 1998;37:495-503.
54. Radloff L. S.The CES-D Scale: A self-report depression scale for research in the general population.Applied Psychological Measurement. 1977;1:385-401.
55. R Development Core Team. (2005). R: A language and environment for statistical computing [Computer software manual]. Vienna, Austria. Available from http://www.R-project.org.
56. Reckase M. D.New horizons in testing: Latent trait test theory and computerized adaptive testing. Weiss D. J., ed. New York, NY: Academic Press; 1983:237-255.
57. Reeve B. B.,Hays R. D.,Bjorner J. B.,Cook K. F.,Crane P. K.,Teresi J. A.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.
58. Roberts R. E.,Lewinsohn P. M.,Seeley J. R.Screening for adolescent depression: A comparison of depression scales.Journal of the American Academy of Child & Adolescent Psychiatry. 1991;30:58-66.
59. Roberts R. E.,Vernon S. W.The Center for Epidemiologic Studies Depression Scale: Its use in a community sample.American Journal of Psychiatry. 1983;140:41-46.
60. RudnerL. M. (2009). Scoring and classifying examinees using measurement decision theory. Practical Assessment, Research & Evaluation, 14. Retrieved from http://pareonline.net/getvn.asp?v=14&n=8.
61. Samejima F.Estimation of latent ability using a response pattern of graded scores [Monograph Supplement No. 17].Psychometrika. 1969;:.
62. Santor D. A.,Coyne J. C.Shortening the CES-D to improve its ability to detect cases of depression.Psychological Assessment. 1997;9:233-243.
63. Assessing health status and quality-of-life instruments: Attributes and review criteria.Quality of Life Research. 2002;11:193-205.
64. Sephton S. E.,Dhabhar F. S.,Keuroghlian A. S.,Giese-Davis J.,McEwen B. S.,Ionan A. C.,Spiegel D.Depression, cortisol, and suppressed cell-mediated immunity in metastatic breast cancer.Brain, Behavior, and Immunity. 2009;23:1148-1155.
65. Sheehan D. V.,Lecrubier Y.,Sheehan K. H.,Amorim P.,Janavs J.,Weiller E.,Dunbar G. C.The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10.Journal of Clinical Psychiatry. 1998;59:22-57.
66. Smits N.,Cuijpers P.,van Straten A.Applying computerized adaptive testing to the CES-D scale: A simulation study.Psychiatry Research. 2011;188:147-155.
67. SmitsN.ZitmanF. G.CuijpersP.den Hollander-GijsmanM. E.CarlierI. V. E. (2012). A proof of principle for using adaptive testing in routine outcome monitoring: The efficiency of the Mood and Anxiety Symptoms Questionnaire-Anhedonic Depression CAT. BMC Medical Research Methodology, 12. Retrieved form http://www.biomedcentral.com/1471-2288/12/4.
68. Snapinn S.,Chen M.-G.,Jiang Q.,Koutsoukos T.Assessment of futility in clinical trials.Pharmaceutical Statistics. 2006;5:273-281.
69. Spitzer R. L.,Kroenke K.,Linzer M.,Hahn S. R.,Williams J. B. W.,DeGruy F. V.,Davies M.Health-related quality of life in primary care patients with mental disorders. Results from the PRIME-MD 1000 study.Journal of the American Medical Association. 1995;274:1511-1517.
70. Spray J. A.,Reckase M. D.Comparison of SPRT and sequential Bayes procedures for classifying examinees into two categories using a computerized test.Journal of Educational and Behavioral Statistics. 1996;21:405-414.
71. Thissen D.,Mislevy R. J.Computerized adaptive testing: A primer. 2000). Testing algorithms. In WainerH. (Ed.), Computerized adaptive testing: A primer (2nd ed., pp. 101-133). Mahwah, NJ: Erlbaum.Wainer H., ed. Mahwah, NJ: Erlbaum; 2000:101-133.
72. ThompsonN. A. (2007). A practitioner's guide for variable-length computerized classification testing. Practical Assessment, Research & Evaluation, 12. Retrieved from http://pareonline.net/getvn.asp?v=12&n=1.
73. ThompsonN. A. (2011). Termination criteria for computerized classification testing. Practical Assessment, Research & Evaluation, 16. Retrieved from http://pareonline.net/getvn.asp?v=16&n=4.
74. Screening for depression: Recommendations and rationale.Annals of Internal Medicine. 2002;136:760-764.
75. Veldkamp B. P.Multiple objective test assembly problems.Journal of Educational Measurement. 1999;36:253-266.
76. Vos H. J.A Bayesian procedure in the context of sequential mastery testing.Psicológica. 2000;21:191-211.
77. Wald A.Sequential analysis. New York, NY: Wiley; 1947:.
78. Weiss D. J.Improving measurement quality and efficiency with adaptive testing.Applied Psychological Measurement. 1982;6:473-492.
79. Weiss D. J.,Kingsbury G. G.Application of computerized adaptive testing to educational problems.Journal of Educational Measurement. 1984;21:361-375.
80. Weissman A.Mutual information item selection in adaptive classification testing.Educational and Psychological Measurement. 2007;67:41-58.
81. Weissman M. M.,Sholomskas D.,Pottenger M.,Prusoff B. A.,Locke B. Z.Assessing depressive symptoms in five psychiatric populations: A validation study.American Journal of Epidemiology. 1977;106:203-214.
82. Wells K. B.,Sturm R.,Sherbourne C. D.,Meredith L. S.Caring for depression. Cambridge, MA: Harvard University Press; 1996:.
83. Mental health: New understanding, new hope. Geneva, Switzerland: Author; 2001:.
84. Yang H. J.,Soong W. T.,Kuo P. H.,Chang H. L.,Chen W. J.Using the CES-D in a two-phase survey for depressive disorders among nonreferred adolescents in Taipei: A stratum-specific likelihood ratio analysis.Journal of Affective Disorders. 2004;82:419-430.