U.S.Renal Data System: USRDS 2006 Annual Data Report: Atlas of End-Stage Renal Disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD; 2007.
Google Scholar
Korevaar JC, Merkus MP, Jansen MA, Dekker FW, Boeschoten EW, Krediet RT, et al.: Validation of the KDQOL-SF: a dialysis-targeted health measure. Qual Life Res 2002, 11: 437–447. 10.1023/A:1015631411960
Article
CAS
PubMed
Google Scholar
Berlim MT, Mattevi BS, Duarte AP, Thome FS, Barros EJ, Fleck MP: Quality of life and depressive symptoms in patients with major depression and end-stage renal disease: a matched-pair study. J Psychosom Res 2006, 61: 731–734. 10.1016/j.jpsychores.2006.04.011
Article
PubMed
Google Scholar
Guerini RD, Mercieri A, Yavuzer G: Multidimensional health-status assessment of chronic hemodialysis patients: the impact on quality of life. Europa Medicophysica 2006, 42: 113–119.
Google Scholar
Al-Arabi S: Quality of life: subjective descriptions of challenges to patients with end stage renal disease. Nephrology Nursing Journal: Journal of the American Nephrology Nurses' Association 2006, 33: 285–292.
Google Scholar
Drayer RA, Piraino B, Reynolds CF III, Houck PR, Mazumdar S, Bernardini J, et al.: Characteristics of depression in hemodialysis patients: symptoms, quality of life and mortality risk. Gen Hosp Psychiatry 2006, 28: 306–312. 10.1016/j.genhosppsych.2006.03.008
Article
PubMed
Google Scholar
Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH: Association among SF-36 quality of life measures and nutrition, hospitalization, and mortality in hemodialysis. J Am Soc Nephrol 2001, 12: 2797–2806.
CAS
PubMed
Google Scholar
Meredith W, Teresi JA: An essay on measurement and factorial invariance. Med Care 2006,44(Suppl):77. 10.1097/01.mlr.0000245438.73837.89
Google Scholar
Angoff WH: Perspective on differential item functioning. In Differential item functioning. Edited by: Holland PW, Wainer H. Hillsdale, NJ: Lawerence Erlbaum; 1993:3–24.
Google Scholar
Camilli G, Shepard LA: Methods for identifying biased test items. Thousand Oaks, CA: Sage; 1994.
Google Scholar
Oshima TC, Miller MD: Multidimensionality and item bias in item response theory. Applied Psychological Measurement 1992, 237–248. 10.1177/014662169201600304
Google Scholar
Mora PA, Contrada RJ, Berkowitz A, Musumeci-Szabo T, Wisnivesky J, Halm EA: Measurement invariance of the Mini Asthma Quality of Life Questionnaire across African-American and Latino adult asthma patients. Qual Life Res 2009, 18: 371–380. 10.1007/s11136-009-9443-9
Article
PubMed
Google Scholar
Petersen S, Haggloff B, Stenlund H, Bergstrom E: Psychometric properties of the Swedish PedsQL, Pediatric Quality of Life Inventory 4.0 generic core scales. Acta Paediatr 2009, 98: 1504–1512. 10.1111/j.1651-2227.2009.01360.x
Article
PubMed
Google Scholar
Theuns P, Hofmans J, Mazaheri M, Van Acker F, Bernheim JL: Cross-national comparability of the WHOQOL-BREF: A measurement invariance approach. Qual Life Res 2010, 19: 219–224. 10.1007/s11136-009-9577-9
Article
PubMed
Google Scholar
Slof-Op 't Landt MC, van Furth EF, Rebollo-Mesa I, Bartels M, van Beijsterveldt CE, Slagboom PE, et al.: Sex differences in sum scores may be hard to interpret: the importance of measurement invariance. Assessment 2009, 16: 415–423. 10.1177/1073191109344827
Article
PubMed
Google Scholar
Scott NW, Fayers PM, Aaronson NK, Bottomley A, de Graeff A, Groenvold M, et al.: Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression. Health & Quality of Life Outcomes 2010, 8: 81.
Google Scholar
Geyh S, Fellinghauer B, Kirchberger I, Post M: Cross-cultural validity of four-quality of life scales in persons with spinal cord injury. Health & Quality of Life Outcomes 2010., 8:
Google Scholar
Mrus JM, Leonard AC, Yi MS, Sherman SN, Fultz SL, Justice AC, et al.: Health-related quality of life in veterans and nonveterans with HIV/AIDS. J Gen Intern Med 2006,21(Suppl):47.
Google Scholar
Kazis LE, Miller DR, Clark J, Skinner K, Lee A, Rogers W, et al.: Health-related quality of life in patients served by the Department of Veterans Affairs: results from the Veterans Health Study. Arch Intern Med 1998, 158: 626–632. 10.1001/archinte.158.6.626
Article
CAS
PubMed
Google Scholar
Hobbs K: Reflections on the culture of veterans. AAOHN J 2008, 56: 337–341. 10.3928/08910162-20080801-07
Article
PubMed
Google Scholar
Mapes DL, Bragg-Gresham JL, Bommer J, Fukuhara S, McKevitt P, Wikstrom B, et al.: Health-related quality of life in the dialysis outcomes and practice patterns study (DOPSS). Am J Kidney Dis 2004,44(Suppl):60.
Google Scholar
Hays RD, Kallich JD, Mapes DL, Coons SJ, Carter WB: Development of the kidney disease quality of life (KDQOL) instrument. Qual Life Res 1994, 3: 329–338. 10.1007/BF00451725
Article
CAS
PubMed
Google Scholar
Vandenberg RJ, Lance CE: A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods 2000, 3: 4–69. 10.1177/109442810031002
Article
Google Scholar
Bontempo DE, Hofer SM: Assessing factorial invariance in cross-sectional and longtitudinal studies. In Oxford handbook of methods in positive psychology. Edited by: Ong AD, van Dulmen MHM. New York: Oxford; 2007:153–175.
Google Scholar
Byrne BM, Shavelson RJ, Muthen B: Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychol Bull 1989, 105: 456–466. 10.1037/0033-2909.105.3.456
Article
Google Scholar
Steenkamp JB, Baumgartner H: Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research 1998, 25: 78–90. 10.1086/209528
Article
Google Scholar
Meredith W: Measurement invariance, factor analysis and factorial invariance. Volume 58. Psychometrika; 1993:525–543.
Google Scholar
Joreskog KG, Sorbom DG: LISREL 8: User's reference guide. Chicago: Scientific Software; 1996.
Google Scholar
Horn JL, McArdle JJ: A practical and theoretical guide to measurement invariance in aging research. Exp Aging Res 1992, 18: 117–144.
Article
CAS
PubMed
Google Scholar
Teresi JA: Overview of Quantitative Measurement Methods: Equivalence, Invariance, and Differential Item Functioning in Health Applications. Med Care 2006. Nov-S49
Google Scholar
Teresi JA, Fleishman JA: Differential item functioning and health assessment. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation 2007, 33–42.
Google Scholar
Kline RB: Principles and practice of structural equation modeling. 2nd edition. New York: Guilford Press; 2005.
Google Scholar
McArdle JJ: Contemporary statistical models of test bias. In Human abilities in theory and practice. Edited by: McArdle JJ, Woodcock RW. Mahwah, NJ: Lawrence Erlbaum Associates; 1998:157–195.
Google Scholar
Brown TA: Confirmatory factor analysis for applied research. New York: Guilford Press; 2006.
Google Scholar
McDonald RP: Test theory: A unified treatment. Mahwah, NJ: Erlbaum; 1999.
Google Scholar
Hynes DM, Stroupe KT, Kaufman JS, Reda DJ, Peterman A, Browning MM, et al.: Adherence to guidelines for ESRD anemia management. Am J Kidney Dis 2006, 47: 455–461. 10.1053/j.ajkd.2005.11.012
Article
PubMed
Google Scholar
Young E, Goodkin D, Mapes D: The Dialysis Outcomes and Practice Patterns Study (DOPPS): An international hemodialysis study. Kidney Int 2000, 57: S74-S81. 10.1046/j.1523-1755.2000.07413.x
Article
Google Scholar
Goodkin DA, Mapes DL, Held PJ: The dialysis outcomes and practice patterns study (DOPPS): how can we improve the care of hemodialysis patients? Seminars in Dialysis 2001, 14: 157–159. 10.1046/j.1525-139X.2001.00043.x
Article
CAS
PubMed
Google Scholar
Hays RD, Kallich JD, Mapes DL, Coons HL, Carter WB: Kidney Disease Quality of Life Short Form (KDQOL-SF). Santa Monica, CA: Rand; 1995.
Google Scholar
Ware J, Sherbourne C: The MOS 36 -item -short-form health survey (SF-36). Med Care 1992, 30: 473–483. 10.1097/00005650-199206000-00002
Article
PubMed
Google Scholar
Paniagua R, Amato D, Vonesh E, Guo A, Mujais S, Mexican Nephrology Collaborative Study Group: Health-related quality of life predicts outcomes but is not affected by peritoneal clearance: the ademex trial. Kidney International 2005, 67: 1093–1104. 10.1111/j.1523-1755.2005.00175.x
Article
PubMed
Google Scholar
Lopes AA, Bragg-Gresham JL, Satayathum S, McCullough K, Pifer T, Goodkin DA, et al.: Health-related quality of life and associated outcomes among hemodialysis patients of different ethnicities in the United States: The dialysis outcomes and practice patterns study (DOPPS). American Journal of Kidney Diseases 2003, 41: 605–615. 10.1053/ajkd.2003.50122
Article
PubMed
Google Scholar
van Doorn KJ, Heylen M, Mets T, Verbeelen D: Evaluation of functional and mental state and quality of life in chronic haemodialysis patients. International Urology & Nephrology 2004, 36: 263–267.
Article
Google Scholar
Saban KL, Stroupe KT, Bryant FB, Reda DJ, Browning MM, Hynes DM: Comparison of health-related quality of life measures for chronic renal failure: quality of well-being scale, short-form-6D, and the kidney disease quality of life instrument. Qual Life Res 2008, 17: 1103–1115. 10.1007/s11136-008-9387-5
Article
PubMed
Google Scholar
Bakewell AB, Higgins RM, Edmunds ME: Quality of life in peritoneal dialysis patients: decline over time and association with clinical outcomes. Kidney Int 2002, 61: 239–248. 10.1046/j.1523-1755.2002.00096.x
Article
PubMed
Google Scholar
Kawauchi A, Inoue Y, Hashimoto T, Tachibana N, Shirakawa S, Mizutani Y, et al.: Restless legs syndrome in hemodialysis patients: health-related quality of life and laboratory data analysis. Clin Nephrol 2006, 66: 440–446.
Article
CAS
PubMed
Google Scholar
Vazquez I, Valderrabano F, Fort J, Jofre R, Lopez-Gomez JM, Moreno F, et al.: Psychosocial factors and health-related quality of life in hemodialysis patients. Qual Life Res 2005, 14: 179–190. 10.1007/s11136-004-3919-4
Article
PubMed
Google Scholar
Manns B, Johnson JA, Taub K, Mortis G, Ghali WA, Donaldson C: Quality of life in patients treated with hemodialysis or peritoneal dialysis: what are the important determinants? Clin Nephrol 2003, 60: 341–351.
Article
CAS
PubMed
Google Scholar
Lopes AA, Bragg-Gresham JL, Goodkin DA, Fukuhara S, Mapes DL, Young EW, et al.: Factors associated with health-related quality of life among hemodialysis patients in the DOPPS. Qual Life Res 2007, 16: 545–557. 10.1007/s11136-006-9143-7
Article
PubMed
Google Scholar
Arbor Research Collaborative for Health: Dialysis Outcomes and Practice Patterns Study.
2007. [http://www.dopps.org/Dopps_Default.aspx]
Google Scholar
Yuan Y: Multiple imputation for missing data: Concepts and new developments. Rockville, MD, SAS Institute; 2000:P267–25.
Google Scholar
Rubin DB: Multiple Imputation for Nonresponse Surveys. New York: John Wiley & Sons, Inc; 1987.
Book
Google Scholar
Saban KL, Stroupe KT, Bryant FB, Reda DJ, Browning MM, Hynes DM: Comparison of health-related quality of life measures for chronic renal failure: quality of well-being scale, short-form-6D, and the kidney disease quality of life instrument. Qual Life Res 2008, 17: 1103–1115. 10.1007/s11136-008-9387-5
Article
PubMed
Google Scholar
Patrick DL, Deyo RA: Generic and disease-specific measures in assessing health status and quality of life. Med Care 1989,27(Suppl):32. 10.1097/00005650-198903001-00018
Google Scholar
Bombardier C, Melfi CA, Paul J, Green R, Hawker G, Wright J, et al.: Comparison of a generic and a disease-specific measure of pain and physical function after knee replacement surgery. Med Care 1995,33(Suppl):44.
Google Scholar
Terreehorst I, Duivenvoorden HJ, Tempels-Pavlica Z, Oosting AJ, de Monchy JG, Bruijnzeel-Koomen CA, et al.: Comparison of a generic and a rhinitis-specific quality-of-life (QOL) instrument in patients with house dust mite allergy: relationship between the SF-36 and Rhinitis QOL Questionnaire. Clinical & Experimental Allergy 2004, 34: 1673–1677.
Article
CAS
Google Scholar
Vickrey BG, Hays RD, Genovese BJ, Myers LW, Ellison GW: Comparison of a generic to disease-targeted health-related quality-of-life measures for multiple sclerosis. J Clin Epidemiol 1997, 50: 557–569. 10.1016/S0895-4356(97)00001-2
Article
CAS
PubMed
Google Scholar
Damiano AM, Steinberg EP, Cassard SD, Bass EB, Diener-West M, Legro MW, et al.: Comparison of generic versus disease-specific measures of functional impairment in patients with cataract. Med Care 1995,33(Suppl):30.
Google Scholar
Satorra A, Bentler PM: A scaled difference chi-square test statistic for moment structure analysis. Psychometrika 2001, 507–514. 10.1007/BF02296192
Google Scholar
French BF, Finch WH: Multigroup confirmatory factor analysis: Locating the invariant referent sets. Structural Equation Modeling 2008, 96–113.
Google Scholar
Browne MW, Cudeck R: Alternative ways of assessing model fit. In Testing structural equation models. Edited by: Bollen KA, Long JS. Newbury Park, CA: Sage; 1993:136–162.
Google Scholar
Hu LT, Bentler PM: Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychological Methods 1998, 3: 424–453. 10.1037/1082-989X.3.4.424
Article
Google Scholar
Bentler PM, Bonett DG: Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull 1980, 88: 588–606. 10.1037/0033-2909.88.3.588
Article
Google Scholar
Hu LT, Bentler PM: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 1999, 6: 1–55. 10.1080/10705519909540118
Article
Google Scholar
Marsh HW, Hau KT, Wen Z: In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling 2004, 320–341. 10.1207/s15328007sem1103_2
Google Scholar
Bollen KA: Structural equationswith latent variables. New York: Wiley; 1989.
Google Scholar
Cheung GW, Rensvold RB: Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling 2002, 9: 233–255. 10.1207/S15328007SEM0902_5
Article
Google Scholar
Cohen J: Statistical power analysis for the behavioral sciences. 2nd edition. Hillsdale, NJ: Erblaum; 1988.
Google Scholar
Cribbie RA: Multiplicity control in structural equation modeling. Structural Equation Modeling 2007, 14: 98–112. 10.1207/s15328007sem1401_5
Article
Google Scholar
Klockars AJ, Hancock GR, McAweeney MJ: Power of unweighted and weighted versions of simultaneous and sequential multiple-comparison procedures. Psychol Bull 1995, 118: 300–307. 10.1037/0033-2909.118.2.300
Article
Google Scholar
Holland BS, Copenhaver MD: An improved sequentially rejective Bonferroni test procedure. Biometrics 1987, 43: 417–423. 10.2307/2531823
Article
Google Scholar
Sidak Z: Rectangular confidence regions for the means of multivariate normal distributions. Journal of the American Statistical Association 1967, 62: 626–633. 10.2307/2283989
Google Scholar
Wu AD, Li Z, Zumbo BD: Decoding the meaning of factorial invariance and updating the practice of multi-group confirmatory factor analysis: A demonstration with TIMSS data. Practical Assessment, Research and Evaluation 2007, 12: 1–26.
CAS
Google Scholar
Bagozzi RPYY: On the evaluation of structural equation models. Journal of the Academy of Marketing Science 1988, 16: 74–94. 10.1007/BF02723327
Article
Google Scholar
Rock DA, Werts CE, Flaugher RL: The use of analysis of covariance structures for comparing the psychometric properties of multiple variables across populations. Multivariate Behavioral Research 1978, 13: 403–418. 10.1207/s15327906mbr1304_3
Article
Google Scholar
Byrne BM: Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum; 1998.
Google Scholar
Banks P, Martin CR: The factor structure of the SF-36 in Parkinson's disease. Journal of Evaluation in Clinical Practice 2009, 15: 460–463. 10.1111/j.1365-2753.2008.01036.x
Article
PubMed
Google Scholar
Taft C, Karlsson J, Sullivan M: Do SF-36 summary component scores accurately summarize subscale scores? Qual Life Res 2001, 10: 395–404. 10.1023/A:1012552211996
Article
CAS
PubMed
Google Scholar
Guthlin C, Walach H: MOS-SF 36: Structural equation modeling to test the construct validity of the second-order factor structure. European Journal of Psychological Assessment 2007, 23: 15–23. 10.1027/1015-5759.23.1.15
Article
Google Scholar
Ren XS, Kazis L, Lee A, Miller DR, Clark JA, Skinner K, et al.: Comparing generic and disease-specific measures of physical and role functioning: results from the Veterans Health Study. Med Care 1998, 36: 155–166. 10.1097/00005650-199802000-00005
Article
CAS
PubMed
Google Scholar
Velanovich V: Comparison of generic (SF-36) vs. disease-specific (GERD-HRQL) quality-of-life scales for gastroesophageal reflux disease. J Gastrointest Surg 1998, 2: 141–145. 10.1016/S1091-255X(98)80004-8
Article
CAS
PubMed
Google Scholar
Ren XS, Kazis LE, Lee A, Rogers WH: The role of generic and disease-specific measures of physical and role functioning in assessing patient outcomes: a longitudinal study. J Ambulatory Care Manage 2005, 28: 157–166.
Article
PubMed
Google Scholar
Millsap RE: Group differences in regression intercepts: Implications for factorial invariance. Multivariate Behavioral Research 1998,33(3):403–424. 10.1207/s15327906mbr3303_5
Article
Google Scholar
Humphreys LG: An analysis and evaluation of test and item bias in the prediction context. Journal of Applied Psychology 1986,71(2):327–333. 10.1037/0021-9010.71.2.327
Article
Google Scholar
Linn RL: Selection bias: Multiple meanings. Journal of Educational Measurement 1984,21(1):33–47. 10.1111/j.1745-3984.1984.tb00219.x
Article
Google Scholar
Jang EE, Roussos L: Integrative analytic approach to detecting and interpreting L2 vocabulary DIF. International Journal of Testing 2009, 9: 238–259. 10.1080/15305050903107022
Article
Google Scholar
Gundy CM, Aaronson NK: Effects of mode of administration (MOA) on the measurement properties of the EORTC QLQ-C30: a randomized study. Health & Quality of Life Outcomes 2010, 8: 35.
Article
Google Scholar
Aitken JF, Youl PH, Janda M, Elwood M, Ring IT, Lowe JB: Comparability of skin screening histories obtained by telephone interviews and mailed questionnaires: a randomized crossover study. Am J Epidemiol 2004, 160: 598–604. 10.1093/aje/kwh263
Article
PubMed
Google Scholar
Clark MA, Rogers ML, Armstrong GF, Rakowski W, Kviz FJ: Differential response effects of data collection mode in a cancer screening study of unmarried women ages 40–75 years: a randomized trial. BMC Medical Research Methodology 2008, 8: 10. 10.1186/1471-2288-8-10
Article
PubMed Central
PubMed
Google Scholar
Raju NS, Laffitte LJ, Byrne BM: Measurement equivalence: a comparison of methods based on confirmatory factor analysis and item response theory. J Appl Psychol 2002, 87: 517–529. 10.1037/0021-9010.87.3.517
Article
PubMed
Google Scholar