Measurement of depressive symptoms in women with breast cancer and women with clinical depression: A differential item functioning analysis

Journal of Clinical Psychology in Medical Settings

Volumn 12, Issue 2, 2005, Pages 127-141

  Waller, Niels G ^a   Compas, Bruce E ^a   Hollon, Steven D ^a   Beckjord, Ellen ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Breast cancer; Depression; Measurement

Indexed keywords

PAROXETINE; PLACEBO; TAMOXIFEN;

ADULT; ARTICLE; BECK DEPRESSION INVENTORY; BEHAVIOR THERAPY; BREAST CANCER; CANCER ADJUVANT THERAPY; CLINICAL TRIAL; COGNITIVE THERAPY; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DEPRESSION; DIAGNOSTIC ACCURACY; FACTORIAL ANALYSIS; FEMALE; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; PSYCHOMETRY; RANDOMIZED CONTROLLED TRIAL; SELF REPORT; STATISTICAL ANALYSIS;

EID: 20444443942     PISSN: 10689583     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10880-005-3273-x     Document Type: Article

References (65)

1. American Cancer Society 2003 Cancer Facts and Figures 2003 American Cancer Society Atlanta, GA
2. Beck, A. T. (1991). Cognitive therapy: A 30-year retrospective. American Psychologist, 46, 368-375
3. A. T. Beck R. A. Steer & G. K. Brown 1996 Beck Depression Inventory: Manual 2nd edn. The Psychological Corporation New York
4. Bock, R. D., Gibbons, R., & Muraki, E. (1988). Full-information item factor analysis. Applied Psychological Measurement, 12, 261-280
5. G. Camilli L. A. Shepard 1994 Methods for identifying biased items Sage Thousand Oaks, CA
6. Carroll, J. B. (1961). The Nature of the data, or how to choose a correlation coefficient. Psychometrika, 26, 347-372
7. R. B. Cattell 1978 The scientific use of factor analysis in behavioral and life sciences Plenum New York
8. Clauser, B. E., & Mazor, K. M. (1998). Using statistical procedures to identify differential item functioning test items. Educational Measurement: Issues and Practices, 17, 31-44
9. Compas, B. E., & Leucken, L. (2002). Psychological adjustment to breast cancer. Current Directions in Psychological Science, 11, 111-114
10. Compas, B. E., Stoll, M. F., Thomsen, A. H., Oppedisano, G., Epping-Jordan, J. E., & Krag, D. N. (1999). Adjustment to breast cancer: Age-related differences in coping and emotional distress. Breast Cancer Research and Treatment, 1233, 1-9
11. Croyle, R. T., & Rowland, J. H. (2003). Mood disorders and cancer: A National Cancer Institute Perspective. Biological Psychiatry, 54, 192-194
12. Dausch, B., Compas, B. E., Beckford, E., Luecken, L., Anderson-Hanley, C., Sherman, M., et al. (2004). Rates and correlates of DSM-IV diagnoses in women newly diagnosed with breast cancer. Journal of Clinical Psychology in Medical Settings, 11 (3), 159-169
13. J. R. Donoghue P. W. Holland & D. T. Thayer 1993 A Monte Carlo study of factors that affect the Mantel-Haenszel and standardization measures of differential item functioning In: P. W. Holland & H. Wainer (Eds.) Differential Item Function Erlbaum Hillsdale, NJ 137-166
14. Dozois, D. J., & Covin, R. (in press). The Beck Depression Inventory-II, Beck Hopelessness Scale, and Beck Scale for Suicide Ideation. In M. Hersen (Ser. Ed.), D. L. Segal, & M. Hilsenroth (Vol. Eds.), Comprehensive handbook of psychological assessment: Vol. 2. Personality assessment and psychopathology. New York: Wiley.
15. Frasure-Smith, N., Lesperance, F., Juneau, M., Tlarijic, M., & Bourassa, M. G. (1999). Gender, depression, and one-year prognosis after myocardial infarction. Psychosomatic Medicine, 61, 26-37
16. Glinder, J., & Compas, B. E. (1999). Self-blame and psychological adjustment to breast cancer. Health Psychology, 18, 1-9
17. P. W. Holland & D. T. Thayer 1988 Differential item performance and the Mantel-Haenszel procedure In: H. Wainer & H. I. Braun (Eds.) Test validity Erlbaum Hillsdale, NJ 129-145
18. P. W. Holland & H. Wainer 1993 Differential item functioning Erlbaum Hillsdale, NJ
19. Hollon, S. D. (1992). Cognitive models of depression from a psychobiological perspective. Psychological Inquiry, 3, 243-250
20. Ihaka, R., & Gentleman, R. (1996). R: A Language for Data Analysis and Graphics. Journal of Computational and Graphical Statistics, 5, 299-314
21. Jacobson, N. S., Follette, W. C., & Revenstorf, D. (1984). Psychotherapy outcome research: Methods for reporting variability and evaluating clinical significance. Behavior Therapy, 15, 336-352
22. Jodoin, M. G., & Gierl, M. J. (2001). Evaluating Type I error and power rates using an effect size measure with the logistic regression procedure for DIF detection. Applied Measurement in Education, 14, 329-349
23. Kessler, R. C., McGonagle, K. A., Zhao, S., Nelson, C. B., Hughes, M., Esheman, S., et al. (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Archives of General Psychiatry, 51, 8-19
24. Kim, Y., Pilkonis, P. A., Frank, E., Thase, M. E., & Reynolds, C. F. (2002). Differential functioning of the Beck Depression Inventory in late-life patients: Use of item response theory. Psychology and Aging, 17, 379-391
25. Knol, D. L., & Berger, M. P. F. (1991). Empirical comparison between factor analysis and multidimensional item response models. Multivariate Behavioral Research, 26, 457-477
26. MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19-40
27. Malcarne, V. L., Compas, B. E., Epping-Jordan, J. E., & Howell, D. C. (1995). Cognitive factors in adjustment to cancer: Attributions of self-blame and perceptions of control. Journal of Behavioral Medicine, 18, 401-417
28. McDaniel, J. S., Musselman, D. L., Porter, M. R., Reed, D. A., & Nemeroff, C. B. (1995). Depression in patients with cancer: Diagnosis, biology, and treatment. Archives of General Psychiatry, 52, 89-99
29. R. P. McDonald 1985 Factor analysis and related methods Erlbaum Hillsdale, New Jersey
30. McDonald, R. P., & Ahlawat, K. S. (1974). Difficulty factors in binary data. British Journal of Mathematical and Statistical Psychology, 27, 82-99
31. Meredith, W., & Millsap, R. E. (1992). On the misuse of manifest variables in the detection of measurement bias. Psychometrika, 57, 289-311
32. Millsap, R. E., & Everson, H. T. (1993). Methodology review: Statistical approaches for assessing measurement bias. Applied Psychological Measurement, 17, 297-334
33. Potenza, M. T., & Dorans, N. J. (1995). DIF assessment for polytomously scored items: A framework for classification and evaluation. Applied Psychological Measurement, 19, 23-37
34. Raison, C. L., & Miller, A. H. (2003). Depression in cancer: New developments regarding diagnosis and treatment. Biological Psychiatry, 54, 283-294
35. Raju, N. S. (1988). The area between two item characteristic curves. Psychometrika, 53, 495-502
36. Raju, N. S., van der Linden, W. J., & Fleer, P. F. (1995). IRT-based internal measures for differential functioning of items and tests. Applied Psychological Measurement, 19, 353-368
37. Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance. Psychological Bulletin, 114, 552-566
38. Ritterband, L. M., & Spielberger, C. D. (2001). Depression in a cancer patient population. Journal of Clinical Psychology in Medical Settings, 8, 85-93
39. Rogers, H. J., & Swaminathan, H. (1993). A comparison of the logistic regression and Mantel-Haenszel procedures for detecting differential item functioning. Applied Psychological Measurement, 17, 105-116
40. Rosenberg, S. D., Goodman, L. A., Osher, F. C., Swartz, M. S., Essock, S. M., Butterfield, M. L., et al. (2001). Prevalence of HIV, hepatitis B, and hepatitis C in people with severe mental illness. American Journal of Public Health, 91, 31-37
41. Roth, P. L. (1994). Missing data: A conceptual review for applied psychologists. Personnel Psychology, 47, 537-560
42. Santor, D. A., & Coyne, J. C. (2001). Examining symptom expression as a function of symptom severity: Item performance on the Hamilton Rating Scale for Depression. Psychological Assessment, 13, 127-139
43. Santor, D. A., & Ramsay, J. O. (1998). Progress in the technology of measurement: Applications of item response models. Psychological Assessment, 10, 345-359
44. Santor, D. A., Ramsay, J. O., & Zuroff, D. C. (1994a). Nonparametric item analyses of the Beck Depression Inventory: Evaluating gender item bias and response option weights. Psychological Assessment, 6, 255-270
45. Santor, D. A., Ramsay, J. O., & Zuroff, D. C. (1994b). Nonparametric item analysis of the Beck Depression Inventory: Examining item bias and response option weights in clinical and nonclinical samples, Psychological Assessment, 6, 255-270
46. Santor, D. A., Zuroff, D. C., Cervantes, P., Palacios, J., & Ramsay, J. O. (1995). Examining scale discriminability in the BDI and CES-D as a function of depressive severity. Psychological Assessment, 7, 131-139
47. Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177
48. Schmid, J., & Leiman, J. M. (1957). The development of hierarchical factor solutions. Psychometrika, 22, 53-61
49. R. Shealy & W. Stout 1993 An item response theory model for test bias In: P. W. Holland & H. Wainer (Eds.) Differential item functioning Erlbaum Hillsdale, NJ 197-239
50. Spijker, A. V., Trijsburg, R. W., & Duivenvoorder, H. J. (1997). Psychological sequelae of cancer diagnosis: A meta-analytic review of 58 studies after 1980. Psychosomatic Medicine, 59, 280-293
51. Steer, R. A., Ball, R., Ranieri, W. F., & Beck, A. T. (1999). Dimensions of the Beck Depression Inventory-II in clinically depressed outpatients. Journal of Clinical Psychology, 55, 117-128
52. Steer, R. A., Kumar, G., Ranieri, W. F., & Beck, A. T. (1998). Use of the Beck Depression Inventory-II with adolescent psychiatric outpatients. Journal of Psychopathology and Behavioral Assessment, 20, 127-137
53. Swaminathan, H., & Rogers, H. J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27, 361-370
54. Tellegen, A., & Waller, N. G. (1987). Reexamining basic dimensions of natural language trait descriptors. Paper presented at the 95th annual meeting of the American Psychological Association, New York, New York.
55. D. Thissen 1991 Multilog user's guide: Multiple, categorical item analysis and test scoring using item response theory [Computer program] Scientific Software International Chicago
56. Thissen, D., Steinberg, L., & Gerrard, M. (1986). Beyond group differences: The concept of item bias. Psychological Bulletin, 99, 118-128
57. D. Thissen L. Steinberg & H. Wainer 1993 Detection of differential item functioning using the parameters of item response models In: P. Holland H. Wainer (Eds.) Differential item functioning Erlbaum Hillsdale, NJ 67-113
58. Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., et al. (2001). Missing value estimation methods for DNA microarrays. Bioinformatics, 17, 520-525
59. Waller, N. G. (1998a). LINKDIF: An S-Plus routine for linking item parameters and calculating IRT measures of differential functioning of items and tests. Applied Psychological Measurement, 22, 392.
60. Waller, N. G. (1998b). EZDIF: A program for the analysis of uniform and nonuniform differential item functioning. Applied Psychological Measurement, 22, 391.
61. N. G. Waller 1999 Evaluating the structure of personality In: C. Robert Cloninger (Ed.) Personality and psychopathology American Psychiatric Press Washington, DC 155-200
62. N. G. Waller 2003 WinMicroFACT 2.1: A microcomputer factor analysis program for ordered polytomous data and mainframe sized problems Assessment Systems Corporation St. Paul, MN
63. Waller, N. G., Thompson, J., & Wenk, E. (2000). Black-White differences on the MMPI: Using IRT to separate measurement bias from true group differences on homogeneous and heterogeneous scales. Psychological Methods, 5, f25-f46
64. Waller, N. G., & Zavala, J. (1993). Evaluating the Big Five. Psychological Inquiry, 4, 131-134
65. Wherry, R. J., & Gaylord, R. H. (1944). Factor Pattern of test items and tests as a function of the correlation coefficient: Content, difficulty, and constant error factors. Psychometrika, 9, 237-244