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Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression
Open accessAbstract
Interest in measuring patient-reported outcomes has increased dramatically in recent decades. This has simultaneously produced numerous assessment options and confusion. In the case of depressive symptoms, there are many commonly used options for measuring the same or a very similar concept. Public and professional reporting of scores can be confused by multiple scale ranges, normative levels, and clinical thresholds. A common reporting metric would have great value and can be achieved when similar instruments are administered to a single sample and then linked to each other to produce cross-walk score tables (e.g., Dorans, 2007; Kolen & Brennan, 2004). Using multiple procedures based on item response theory and equipercentile methods, we produced cross-walk tables linking 3 popular "legacy" depression instruments-the Center for Epidemiologic Studies Depression Scale (Radloff, 1977; N = 747), the Beck Depression Inventory-II (Beck, Steer, & Brown, 1996; N = 748), and the 9-item Patient Health Questionnaire (Kroenke, Spitzer, & Williams, 2001; N = 1,120)-to the depression metric of the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS; Cella et al., 2010). The PROMIS Depression metric is centered on the U.S. general population, matching the marginal distributions of gender, age, race, and education in the 2000 U.S. census (Liu et al., 2010). The linking relationships were evaluated by resampling small subsets and estimating confidence intervals for the differences between the observed and linked PROMIS scores; in addition, PROMIS cutoff scores for depression severity were estimated to correspond with those commonly used with the legacy measures. Our results allow clinicians and researchers to retrofit existing data of 3 popular depression measures to the PROMIS Depression metric and vice versa.
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“There is strong evidence of construct validity for the PROMIS depression scale, which has been validated against the Center for Epidemiological Studies Depression Scale (CES-D), the Beck Depression Inventory (BDI-II), and the Patient Health Questionnaire (PHQ-9) (Choi et al., 2014; Pilkonis et al., 2014).”
From Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study (2017) · cites this paper as Choi et al., 2014
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
Cognitive Therapy for Depression
(2012) · PsycEXTRA Dataset · doi:10.1037/e675542012-001 · Cited by 9,678
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1103_2 · Cited by 6,691
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., et al. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.04.011 · Cited by 5,128
Self-citationCognitive Therapy of Depression
HOLLON, S. D., & BECK, A. T. (1979) · Cognitive-Behavioral Interventions · doi:10.1016/b978-0-12-404480-7.50012-5 · Cited by 4,685
Test Theory: A Unified Treatment
Zwick, R., & McDonald, R. P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669496 · Cited by 3,641
Depression: Causes and treatment
Beck, A. T. (1973) · Behavior Therapy · doi:10.1016/s0005-7894(73)80054-1 · Cited by 3,163
Research works printed but not linked: 1
- Quilty LC Bagby R 2008 The assessment of depressive severity: A review Directions in Psychiatry 28 135 146
Cited by
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Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016) · Depression and Anxiety · doi:10.1002/da.22466 · Cited by 1,111
Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.013 · Cited by 581
Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.03.061 · Cited by 469
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Li, H., Zheng, D., Li, Z., Wu, Z., Feng, W., Cao, X., Wang, J., Gao, Q., Li, X., Wang, W., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.16591 · Cited by 399
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Domains, B. (2015) · Cited by 299
Development and validation of a daily pain catastrophizing scale
Darnall, B. D., Sturgeon, J. A., Cook, K. F., Taub, C. J., Roy, A., Burns, J. W., Sullivan, M., & Mackey, S. C. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2017.05.003 · Cited by 264
Self-citationSchalet, B. D., Cook, K. F., Choi, S. W., & Cella, D. F. (2013) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2013.11.006 · Cited by 260
Self-citationForrest, C. B., Meltzer, L. J., Marcus, C. L., de la Motte, A., Kratchman, A. L., Buysse, D. J., Pilkonis, P. A., Becker, B. D., & Bevans, K. B. (2018) · SLEEP · doi:10.1093/sleep/zsy054 · Cited by 250
Bevans, M. F., Ross, A. C., & Cella, D. F. (2014) · Nursing Outlook · doi:10.1016/j.outlook.2014.05.009 · Cited by 242
Self-citationPreoperative PROMIS Scores Predict Postoperative Success in Foot and Ankle Patients
Ho, B. S., Houck, J. R., Flemister, A. S., Ketz, J. P., Oh, I. C., DiGiovanni, B. F., & Baumhauer, J. F. (2016) · Foot & Ankle International · doi:10.1177/1071100716665113 · Cited by 234
Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis
Shensa, A. S., Sidani, J. E., Dew, M. A., Escobar-Viera, C. G., & Primack, B. A. (2018) · American Journal of Health Behavior · doi:10.5993/ajhb.42.2.11 · Cited by 261
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Bartlett, S. J., Orbai, A., Trisha, D., Elaine, D., Ruffing, V., Katherine, C.-S., & Bingham, C. O. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138543 · Cited by 219
Kroenke, K., Yu, Z., Wu, J., Kean, J., & Monahan, P. O. (2014) · Pain Medicine · doi:10.1111/pme.12537 · Cited by 187
Functional Disability in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis
Lindbergh, C. A., Dishman, R. K., & Miller, L. S. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9321-5 · Cited by 201
Overview of the Spinal Cord Injury – Quality of Life (SCI-QOL) measurement system
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Zhang, L., Hirano, A., Hsu, P.-K., Jones, C. R., Sakai, N., Okuro, M., McMahon, T., Yamazaki, M., Xu, Y., Saigoh, N., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600039113 · Cited by 169
Deyo, R. A., Ramsey, K., Buckley, D. I., Michaels, L., Kobus, A., Eckstrom, E., Forro, V., & Morris, C. (2016) · Pain Medicine · doi:10.1093/pm/pnv046 · Cited by 170
Dadfar, M., Kalibatseva, Z., & Lester, D. (2018) · Trends in Psychiatry and Psychotherapy · doi:10.1590/2237-6089-2017-0116 · Cited by 139
A Common Metric for Self-Reported Severity of Personality Disorder
Zimmermann, J., Müller, S., Bach, B., Hutsebaut, J., Hummelen, B., & Fischer, F. H. (2020) · Psychopathology · doi:10.1159/000507377 · Cited by 130
Kroenke, K., Stump, T. E., Chen, C. X., Kean, J., Bair, M. J., Damush, T. M., Krebs, E. E., & Monahan, P. O. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.01.101 · Cited by 131
Jasso-Medrano, J. L., & López-Rosales, F. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.003 · Cited by 119
Obbarius, A., van Maasakkers, L., Baer, L., Clark, D. M., Crocker, A. G., de Beurs, E., Emmelkamp, P. M. G., Furukawa, T. A., Hedman-Lagerlöf, E., Kangas, M., et al. (2017) · Quality of Life Research · doi:10.1007/s11136-017-1659-5 · Cited by 116
Ameringer, S., Elswick, R. K., Menzies, V. S., Robins, J. L. W., Starkweather, A. R., Walter, J. M., Gentry, A. E., & Jallo, N. (2016) · Nursing Research · doi:10.1097/nnr.0000000000000162 · Cited by 126
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Katzan, I. L., & Lapin, B. R. (2017) · Stroke · doi:10.1161/strokeaha.117.018766 · Cited by 114
Mustanski, B. S., Morgan, E., D’Aquila, R. T., Birkett, M. A., Janulis, P. F., & Newcomb, M. E. (2018) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000001886 · Cited by 114
Schalet, B. D., Rothrock, N. E., Hays, R. D., Kazis, L. E., Cook, K. F., Rutsohn, J. P., & Cella, D. F. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3453-9 · Cited by 115
Self-citationGoldberg, S. B., Imhoff-Smith, T., Bolt, D. M., Wilson-Mendenhall, C. D., Dahl, C. J., Davidson, R. J., & Rosenkranz, M. A. (2020) · JMIR Mental Health · doi:10.2196/23825 · Cited by 97
“Additional information about the psychometric properties and theoretical relevance of the included measures is provided in Multimedia Appendix 1 [73-101].”
BackgroundBatterham, P. J., Sunderland, M., Slade, T. N., Calear, A. L., & Carragher, N. (2017) · Psychological Medicine · doi:10.1017/s0033291717002835 · Cited by 110
Osann, K., Hsieh, S., Nelson, E. L., Monk, B. J., Chase, D. M., Cella, D. F., & Wenzel, L. B. (2014) · Gynecologic Oncology · doi:10.1016/j.ygyno.2014.08.036 · Cited by 106
Self-citationNewcomb, M. E., Macapagal, K. R., Feinstein, B. A., Bettin, E., Swann, G., & Whitton, S. W. (2017) · AIDS and Behavior · doi:10.1007/s10461-017-1674-0 · Cited by 103
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Comparative validity and responsiveness of PHQ-ADS and other composite anxiety-depression measures
Kroenke, K., Baye, F. M., & Lourens, S. G. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.12.098 · Cited by 102
The most affected health domains after ischemic stroke
Katzan, I. L., Thompson, N. R., Uchino, K., & Lapin, B. R. (2018) · Neurology · doi:10.1212/wnl.0000000000005327 · Cited by 101
Goldberg, S. B., Imhoff-Smith, T., Bolt, D. M., Wilson-Mendenhall, C. D., Dahl, C. J., Davidson, R. J., & Rosenkranz, M. A. (2020) · doi:10.2196/preprints.23825 · Cited by 97
Fischer, F. H., Sidey-Gibbons, C. J., Coste, J., Valderas, J. M., Rose, M., & Leplège, A. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1785-8 · Cited by 102
Clinical outcome assessment in clinical trials of chronic pain treatments
Patel, K. V., Amtmann, D., Jensen, M. P., Smith, S. M., Veasley, C., & Turk, D. C. (2021) · PAIN Reports · doi:10.1097/pr9.0000000000000784 · Cited by 100
Graduate Student Mental Health: Lessons from American Economics Departments
Bolotnyy, V., Basilico, M. F., & Barreira, P. J. (2022) · Journal of Economic Literature · doi:10.1257/jel.20201555 · Cited by 94
Temporal Associations Between Social Media Use and Depression
Primack, B. A., Shensa, A. S., Sidani, J. E., Escobar-Viera, C. G., & Fine, M. J. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.09.014 · Cited by 93
Purvis, T. E., Andreou, E., Neuman, B. J., Riley, L. H., & Skolasky, R. L. (2017) · Spine · doi:10.1097/brs.0000000000002347 · Cited by 92
Depression, Anxiety, and Alcohol Use in Elite Rugby League Players Over a Competitive Season
Preez, E. J. D., Graham, K. S., Gan, T. Y., Moses, B., Ball, C., & Kuah, D. (2017) · Clinical Journal of Sport Medicine · doi:10.1097/jsm.0000000000000411 · Cited by 93
Matalon, N., Dorman-Ilan, S., Hasson‐Ohayon, I., Hertz‐Palmor, N., Shani, S., Basel, D., Gross, R., Chen, W., Abramovich, A., Afek, A. B., et al. (2021) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2021.110399 · Cited by 90
Immersive Virtual Reality for the Management of Pain in Community-Dwelling Older Adults
Benham, S., Kang, M., & Grampurohit, N. (2018) · OTJR Occupational Therapy Journal of Research · doi:10.1177/1539449218817291 · Cited by 89
Salsman, J. M., Schalet, B. D., Merluzzi, T. V., Park, C. L., Hahn, E. A., Snyder, M. A., & Cella, D. F. (2019) · Quality of Life Research · doi:10.1007/s11136-019-02198-6 · Cited by 94
Self-citationAnxiety and Depression Symptoms in COVID-19 Isolated Patients and in Their Relatives
Dorman-Ilan, S., Hertz‐Palmor, N., Brand‐Gothelf, A., Hasson‐Ohayon, I., Matalon, N., Gross, R., Chen, W., Abramovich, A., Afek, A. B., Ziv, A., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.581598 · Cited by 90
Schalet, B. D., Revicki, D. A., Cook, K. F., Krishnan, E., Fries, J. F., & Cella, D. F. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3360-0 · Cited by 87
Self-citationJuengst, S. B., Graham, K. M., Pulantara, I. W., McCue, M. P., Whyte, E. M., Dicianno, B. E., Parmanto, B., Arenth, P. M., Skidmore, E. R., & Wagner, A. K. (2015) · Brain Injury · doi:10.3109/02699052.2015.1045031 · Cited by 86
Cook, K. F., Victorson, D. E., Cella, D. F., Schalet, B. D., & Miller, D. M. (2014) · Quality of Life Research · doi:10.1007/s11136-014-0790-9 · Cited by 88
Self-citationAkeman, E., Kirlic, N., Clausen, A. N., Cosgrove, K. T., McDermott, T. J., Cromer, L. D., Paulus, M. P., Yeh, H., & Aupperle, R. L. (2020) · Depression and Anxiety · doi:10.1002/da.22969 · Cited by 85
Dunne, J. P., Flores, M. W., Gawande, R., & Schuman‐Olivier, Z. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.12.092 · Cited by 99
van der Aa, H. P. A., Margrain, T. H., van Rens, G. H. M. B., Heymans, M. W., & van Nispen, R. M. A. (2016) · Ophthalmic and Physiological Optics · doi:10.1111/opo.12313 · Cited by 84
Self-reported cognitive biases in depression: A meta-analysis
Nieto, I., Robles, E., & Vázquez, C. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101934 · Cited by 93
Establishing Crosswalks Between Common Measures of Burnout in US Physicians
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Goldberg, S. B., Baldwin, S. A., Riordan, K. M., Torous, J., Dahl, C. J., Davidson, R. J., & Hirshberg, M. J. (2022) · Assessment · doi:10.1177/10731911211015310 · Cited by 74
Purvis, T. E., Neuman, B. J., Riley, L. H., & Skolasky, R. L. (2018) · Spine · doi:10.1097/brs.0000000000002661 · Cited by 91
Guattery, J. M., Dardas, A. Z., Kelly, M. A., Chamberlain, A. M., McAndrew, C. M., & Calfee, R. P. (2018) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999.0000000000000076 · Cited by 76
An Empirical Crosswalk for the PTSD Checklist: Translating DSM‐IV to DSM‐5 Using a Veteran Sample
Moshier, S. J., Lee, D. J., Bovin, M. J., Gauthier, G. M., Zax, A., Rosen, R. C., Keane, T. M., & Marx, B. P. (2019) · Journal of Traumatic Stress · doi:10.1002/jts.22438 · Cited by 75
Reise, S. P., & Rodriguez, A. (2016) · Psychological Medicine · doi:10.1017/s0033291716000520 · Cited by 79
Salsman, J., Schalet, B., Park, C. L., George, L. S., Steger, M., Hahn, E., Snyder, M. A., & Cella, D. (2020) · Quality of Life Research · doi:10.1007/s11136-020-02489-3 · Cited by 66
Self-citationCook, K. F., Schalet, B. D., Kallen, M. A., Rutsohn, J. P., & Cella, D. (2015) · Quality of Life Research · doi:10.1007/s11136-015-0987-6 · Cited by 79
Self-citationSamara, M. T., Engel, R. R., Millier, A., Kandenwein, J. A., Toumi, M., & Leucht, S. (2014) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2014.08.009 · Cited by 70
Karin, E., Dear, B. F., Heller, G. Z., Gandy, M., & Titov, N. (2018) · JMIR Mental Health · doi:10.2196/10200 · Cited by 69
Swann, G., Stephens, J., Newcomb, M. E., & Whitton, S. W. (2019) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/cdp0000292 · Cited by 69
Wright, M. A., Beleckas, C. M., & Calfee, R. P. (2018) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2018.05.019 · Cited by 68
Health-related quality of life measurement in oncology: Advances and opportunities.
Cella, D. F., & Stone, A. A. (2015) · American Psychologist · doi:10.1037/a0037821 · Cited by 75
Self-citationSchalet, B. D., Lim, S., Cella, D. F., & Choi, S. W. (2021) · Psychometrika · doi:10.1007/s11336-021-09776-z · Cited by 70
Self-citationMeasures of Depression and Depressive Symptoms
Smarr, K. L., & Keefer, A. L. (2020) · Arthritis Care & Research · doi:10.1002/acr.24191 · Cited by 66
Hawari, F. I., Obeidat, N. A., Dodin, Y., Albtoosh, A. S., Manasrah, R. M., Alaqeel, I. O., & Mansour, A. H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248741 · Cited by 61
Kroenke, K., Krebs, E. E., Turk, D. C., Korff, M. V., Bair, M. J., Allen, K. D., Sandbrink, F., Cheville, A. L., DeBar, L., Lorenz, K., et al. (2018) · Pain Medicine · doi:10.1093/pm/pny279 · Cited by 60
Iyer, A. S., Dionne-Odom, J. N., Ford, S. M., Tims, S., Sockwell, E., Ivankova, N. V., Brown, C. J., Tucker, R. O., Dransfield, M. T., & Bakitas, M. A. (2019) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201902-112oc · Cited by 58
From Big Data to Knowledge in the Social Sciences
Hesse, B., Moser, R., & Riley, W. (2015) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716215570007 · Cited by 50
Loneliness and Psychotic Symptoms: The Mediating Role of Depression
Jaya, E. S., Hillmann, T. E., Reininger, K. M., Gollwitzer, A., & Lincoln, T. M. (2016) · Cognitive Therapy and Research · doi:10.1007/s10608-016-9799-4 · Cited by 60
The association between valence of social media experiences and depressive symptoms
Primack, B. A., Bisbey, M. A., Shensa, A. S., Bowman, N. D., Karim, S. A., Knight, J. M., & Sidani, J. E. (2018) · Depression and Anxiety · doi:10.1002/da.22779 · Cited by 54
Effect of a Self-management Support Intervention on Asthma Outcomes in Older Adults
Federman, A. D., O’Conor, R. M., Mindlis, I., Hoy‐Rosas, J., Hauser, D., Lurio, J., Shroff, N., Lopez, R., Erblich, J., Wolf, M. S., et al. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.1201 · Cited by 53
Purvis, T. E., Neuman, B. J., Riley, L. H., & Skolasky, R. L. (2019) · Journal of Neurosurgery Spine · doi:10.3171/2018.9.spine18521 · Cited by 54
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Tulsky, D. S., Kisala, P. A., Victorson, D. E., Choi, S. W., Gershon, R. C., Heinemann, A. W., & Cella, D. F. (2015) · Journal of Spinal Cord Medicine · doi:10.1179/2045772315y.0000000034 · Cited by 51
Self-citationQuality of Life after Face Transplantation: Outcomes, Assessment Tools, and Future Directions
Aycart, M. A., Kiwanuka, H., Krezdorn, N., Alhefzi, M. M., Bueno, E. M., Pomahač, B., & Oser, M. L. (2016) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000002890 · Cited by 51
Bernstein, D. N., Atkinson, J. D., Fear, K., Baumhauer, J. F., Mesfin, A., Rubery, P. T., & Hammert, W. C. (2019) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000000782 · Cited by 52
Katzan, I. L., Thompson, N. R., & Uchino, K. (2016) · Stroke · doi:10.1161/strokeaha.115.011377 · Cited by 50
Luk, J. W., Patock‐Peckham, J. A., Medina, M., Terrell, N., Belton, D. A., & King, K. M. (2016) · Substance Use & Misuse · doi:10.3109/10826084.2015.1090453 · Cited by 50
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Kaat, A. J., Newcomb, M. E., Ryan, D. T., & Mustanski, B. S. (2016) · Quality of Life Research · doi:10.1007/s11136-016-1450-z · Cited by 47
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Self-citation
Metadata
- Authors
- Choi, S. W., Schalet, B., Cook, K. F., & Cella, D.
- Affiliations
- Northwestern University (US)
- Venue
- Psychological Assessment
- Published
- 2014
- Volume
- 26
- Issue
- 2
- Pages
- 513-527
- ISSN
- 1040-3590 (ISSN-L)
- 1939-134X
- PMC
- PMC5515387
- OpenAlex
- W2069518888
- Cited by
- 480
- References
- 74
- Citations by year
- 2026: 25 · 2025: 36 · 2024: 42 · 2023: 44 · 2022: 52 · 2021: 61 · 2020: 48 · 2019: 53 · 2018: 43 · 2017: 22 · 2016: 24 · 2015: 21 · 2014: 7
- FWCI
- 31.16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychological Assessment (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Cancer (1RC4CA157236-01)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- depressive symptoms, scale linking, Beck Depression Inventory-II, CES-D, PHQ-9, patient-reported outcomes, item response theory, equipercentile linking
- MeSH terms
- Depressive Disorder, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Psychometrics, Surveys and Questionnaires, Reproducibility of Results
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