Handbook of Modern Item Response Theory

Short screening scales to monitor population prevalences and trends in non-specific psychological distress

KESSLER, R. C., ANDREWS, G., COLPE, L. J., HIRIPI, E., MROCZEK, D. K., NORMAND, S.-L. T., WALTERS, E. E., & ZASLAVSKY, A. M. (2002) · Psychological Medicine · doi:10.1017/s0033291702006074 · Cited by 10,327

Screening for serious mental illness in the general population

Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., Howes, M. J., Normand, S.-L. T., Manderscheid, R. W., Walters, E. E., et al. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.2.184 · Cited by 5,692

The Insomnia Severity Index: Psychometric Indicators to Detect Insomnia Cases and Evaluate Treatment Response

Morin, C. M., Belleville, G., Bélanger, L., & Ivers, H. (2011) · Sleep · doi:10.1093/sleep/34.5.601 · Cited by 4,620

The 16-item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression

Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01866-8 · Cited by 3,829

Testing the ruler with item response theory: Increasing precision of measurement for relationship satisfaction with the Couples Satisfaction Index.

Funk, J. L., & Rogge, R. D. (2007) · Journal of Family Psychology · doi:10.1037/0893-3200.21.4.572 · Cited by 1,806

The performance of the Japanese version of the K6 and K10 in the World Mental Health Survey Japan

Furukawa, T. A., Kawakami, N., Saitoh, M., Ono, Y., Nakane, Y., Nakamura, Y., Tachimori, H., Iwata, N., Uda, H., Nakane, H., et al. (2008) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.257 · Cited by 1,478

Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative

Kessler, R. C., Green, J. G., Gruber, M. J., Sampson, N. A., Bromet, E., Cuitan, M., Furukawa, T. A., Gureje, O., Hinkov, H., Hu, C., et al. (2010) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.310 · Cited by 1,434

Validity: on the meaningful interpretation of assessment data

Downing, S. M. (2003) · Medical Education · doi:10.1046/j.1365-2923.2003.01594.x · Cited by 1,434

The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population

Müllensiefen, D., Gingras, B., Musil, J., & Stewart, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089642 · Cited by 1,155

Birds of the Same Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data

Barbera, P. (2012) · doi:10.2139/ssrn.2108098 · Cited by 983

Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data

Barberá, P. (2015) · Political Analysis · doi:10.1093/pan/mpu011 · Cited by 982

Psychometric qualities of a brief self-rated fatigue measure

Michielsen, H. J., De Vries, J., & Van Heck, G. L. (2003) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(02)00392-6 · Cited by 860

Ordinal Regression Models in Psychology: A Tutorial

Bürkner, P.-C., & Vuorre, M. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245918823199 · Cited by 689

The curiosity and exploration inventory-II: Development, factor structure, and psychometrics

Kashdan, T. B., Gallagher, M. W., Silvia, P. J., Winterstein, B. P., Breen, W. E., Terhar, D., & Steger, M. F. (2009) · Journal of Research in Personality · doi:10.1016/j.jrp.2009.04.011 · Cited by 674

Arbitrary metrics in psychology

Blanton, H., & Jaccard, J. (2006) · American Psychologist · doi:10.1037/0003-066x.61.1.27 · Cited by 681

An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales

Irwin, D. E., Stucky, B., Langer, M. M., Thissen, D., DeWitt, E. M., Lai, J.-S., Varni, J. W., Yeatts, K., & DeWalt, D. A. (2010) · Quality of Life Research · doi:10.1007/s11136-010-9619-3 · Cited by 537

More information from fewer questions: the factor structure and item properties of the original and brief fear of negative evaluation scale

Rodebaugh, T. L., Woods, C. M., Thissen, D. M., Heimberg, R. G., Chambless, D. L., & Rapee, R. M. (2004) · Psychological Assessment · doi:10.1037/1040-3590.16.2.169 · Cited by 477

Evaluating the Impact of Partial Factorial Invariance on Selection in Two Populations

Millsap, R. E., & Kwok, O.-M. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.1.93 · Cited by 414

An Evaluation of the Quick Inventory of Depressive Symptomatology and the Hamilton Rating Scale for Depression: A Sequenced Treatment Alternatives to Relieve Depression Trial Report

Rush, A. J., Bernstein, I. H., Trivedi, M. H., Carmody, T. J., Wisniewski, S., Mundt, J. C., Shores-Wilson, K., Biggs, M. M., Woo, A., Nierenberg, A. A., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.08.022 · Cited by 385

A Multidimensional Tool Based on the eHealth Literacy Framework: Development and Initial Validity Testing of the eHealth Literacy Questionnaire (eHLQ)

Kayser, L., Karnoe, A., Furstrand, D., Batterham, R., Christensen, K. B., Elsworth, G., & Osborne, R. H. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8371 · Cited by 340

New English and Spanish social health measures will facilitate evaluating health determinants

Hahn, E. A., PROMIS Cooperative Group, DeWalt, D. A., Bode, R. K., Garcia, S. F., DeVellis, R. F., Correia, H., & Cella, D. (2014) · Health Psychology · doi:10.1037/hea0000055 · Cited by 368

The Short Mood and Feelings Questionnaire (SMFQ): A Unidimensional Item Response Theory and Categorical Data Factor Analysis of Self-Report Ratings from a Community Sample of 7-through 11-Year-Old Children

Sharp, C., Goodyer, I. M., & Croudace, T. J. (2006) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-006-9027-x · Cited by 358

Assessing Asset Indices

Filmer, D., & Scott, K. (2012) · Demography · doi:10.1007/s13524-011-0077-5 · Cited by 343

Validation of a Preparation for Decision Making scale

Bennett, C., Graham, I. D., Kristjansson, E., Kearing, S. A., Clay, K. F., & O’Connor, A. M. (2010) · Patient Education and Counseling · doi:10.1016/j.pec.2009.05.012 · Cited by 305

Short-term temporal stability and factor structure of the revised experiences in close relationships (ECR-R) measure of adult attachment

Sibley, C. G., & Liu, J. H. (2004) · Personality and Individual Differences · doi:10.1016/s0191-8869(03)00165-x · Cited by 285

Tests of Data Quality, Scaling Assumptions, and Reliability of the Danish SF-36

Bjorner, J. B., Damsgaard, M. T., Watt, T., & Groenvold, M. (1998) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(98)00092-4 · Cited by 253

Investigating Validity Evidence of the Satisfaction with Life Scale Adapted for Children

Gadermann, A. M., Schonert-Reichl, K. A., & Zumbo, B. D. (2010) · Social Indicators Research · doi:10.1007/s11205-009-9474-1 · Cited by 258

Specific relationships between psychosocial job conditions and job-related stress: A three-level analytic approach

Veldhoven, M. V., Jonge, J. D., Broersen, S., Kompier, M., & Meijman, T. (2002) · Work & Stress · doi:10.1080/02678370210166399 · Cited by 246

A Quantitative Assessment of Lareau’s Qualitative Conclusions About Class, Race, and Parenting

Cheadle, J. E., & Amato, P. R. (2011) · Journal of Family Issues · doi:10.1177/0192513x10386305 · Cited by 224

The bidirectional relation between positive mental health and psychopathology in a longitudinal representative panel study

Lamers, S. M. A., Westerhof, G. J., Glas, C. A. W., & Bohlmeijer, E. T. (2015) · The Journal of Positive Psychology · doi:10.1080/17439760.2015.1015156 · Cited by 207

Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience

Borsci, S., Federici, S., Bacci, S., Gnaldi, M., & Bartolucci, F. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2015.1064648 · Cited by 180

Private school effects in urban and rural india: Panel estimates at primary and secondary school ages

Singh, A. (2015) · Journal of Development Economics · doi:10.1016/j.jdeveco.2014.10.004 · Cited by 187

A brief case-finding questionnaire for common mental disorders: the CMDQ

Christensen, K. S., Fink, P., Toft, T., Frostholm, L., Ørnbøl, E., & Olesen, F. (2005) · Family Practice · doi:10.1093/fampra/cmi025 · Cited by 181

A Handbook of Research Methods for Clinical and Health Psychology (DRAFT)

(2005) · doi:10.1093/med:psych/9780198527565.001.0001 · Cited by 176

Dimensionality and norms of the Rosenberg Self-Esteem Scale in a German general population sample

Roth, M., Decker, O., Herzberg, P. Y., & Brähler, E. (2008) · European Journal of Psychological Assessment · doi:10.1027/1015-5759.24.3.190 · Cited by 166

Mood, anxiety and psychotic phenomena measure a common psychopathological factor

Stochl, J., Khandaker, G. M., Lewis, G., Perez, J., Goodyer, I. M., Zammit, S., Sullivan, S., Croudace, T. J., & Jones, P. B. (2015) · Psychological Medicine · doi:10.1017/s003329171400261x · Cited by 153

Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems

Pliakos, K., Joo, S.-H., Park, J. Y., Cornillie, F., Vens, C., & Van den Noortgate, W. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.009 · Cited by 149

Individual response spread in self-report scales: personality correlations and consequences

Austin, E. J., Deary, I. J., Gibson, G. J., McGregor, M. J., & Dent, J. B. (1998) · Personality and Individual Differences · doi:10.1016/s0191-8869(97)00175-x · Cited by 138

Health outcomes assessment in vulnerable populations: measurement challenges and recommendations

Hahn, E. A., & Cella, D. (2003) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2003.50245 · Cited by 133

Establishing construct validity for the thyroid-specific patient reported outcome measure (ThyPRO): an initial examination

Watt, T., Bjorner, J. B., Groenvold, M., Rasmussen, Å. K., Bonnema, S. J., Hegedüs, L., & Feldt-Rasmussen, U. (2009) · Quality of Life Research · doi:10.1007/s11136-009-9460-8 · Cited by 112

A systematic review of the psychometric properties of self-report research utilization measures used in healthcare

Squires, J. E., Estabrooks, C. A., O'Rourke, H. M., Gustavsson, P., Newburn-Cook, C. V., & Wallin, L. (2011) · Implementation Science · doi:10.1186/1748-5908-6-83 · Cited by 101

The positive mental health instrument: development and validation of a culturally relevant scale in a multi-ethnic Asian population

Vaingankar, J., Subramaniam, M., Chong, S. A., Abdin, E., Orlando Edelen, M., Picco, L., Lim, Y. W., Phua, M. Y., Chua, B. Y., Tee, J. Y., et al. (2011) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-9-92 · Cited by 89

Computerized adaptive measurement of depression: A simulation study

Gardner, W., Shear, K., Kelleher, K. J., Pajer, K. A., Mammen, O., Buysse, D., & Frank, E. (2004) · BMC Psychiatry · doi:10.1186/1471-244x-4-13 · Cited by 65

Correspondence of verbal descriptor and numeric rating scales for pain intensity: an item response theory calibration

Edelen, M. O., & Saliba, D. (2010) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glp215 · Cited by 68

A Multilevel Bayesian Item Response Theory Method for Scaling Socioeconomic Status in International Studies of Education

May, H. (2006) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986031001063 · Cited by 65

Feasibility of a Community Intervention for the Prevention of Suicide and Alcohol Abuse with Yup'ik Alaska Native Youth: The Elluam Tungiinun and Yupiucimta Asvairtuumallerkaa Studies

Mohatt, G. V., Fok, C. C. T., Henry, D., & Allen, J. (2014) · American Journal of Community Psychology · doi:10.1007/s10464-014-9646-2 · Cited by 59

An Examination of Rater Drift Within a Generalizability Theory Framework

Harik, P., Clauser, B. E., Grabovsky, I., Nungester, R. J., Swanson, D., & Nandakumar, R. (2009) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2009.01068.x · Cited by 59

Using item response theory to assess the Flynn effect in the National Longitudinal Study of Youth 79 Children and Young Adults data

Beaujean, A. A., & Osterlind, S. J. (2008) · Intelligence · doi:10.1016/j.intell.2007.10.004 · Cited by 56

Two-way imputation: a Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation

Van Ginkel, J. R., Andries Van der Ark, L., Sijtsma, K., & Vermunt, J. K. (2007) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2006.12.022 · Cited by 46

A New Digital Assessment of Mental Health and Well-being in the Workplace: Development and Validation of the Unmind Index

Sierk, A., Travers, E., Economides, M., Loe, B. S., Sun, L., & Bolton, H. (2022) · JMIR Mental Health · doi:10.2196/34103 · Cited by 21

Exploring the psychometric properties of the mind-map scoring rubric

Hua, C., & Wind, S. A. (2019) · Behaviormetrika · doi:10.1007/s41237-018-0062-z · Cited by 18

Psychometric considerations of depression symptom rating scales

McClintock, S. M., Haley, C., & Bernstein, I. H. (2011) · Neuropsychiatry · doi:10.2217/npy.11.59 · Cited by 7