Measuring bias in self-reported data
Open accessAbstract
Response bias shows up in many fields of behavioural and healthcare research where self-reported data are used. We demonstrate how to use stochastic frontier estimation (SFE) to identify response bias and its covariates. In our application to a family intervention, we examine the effects of participant demographics on response bias before and after participation; gender and race/ethnicity are related to magnitude of bias and to changes in bias across time, and bias is lower at post-test than at pre-test. We discuss how SFE may be used to address the problem of 'response shift bias' - that is, a shift in metric from before to after an intervention which is caused by the intervention itself and may lead to underestimates of programme effects.
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The study used a self-report survey with potential method biases ranging from misunderstanding of measures' purposes to social-desirability bias.
“First, the study used a self-report survey with its well-known potential method biases ranging from a misunderstanding of measures' purposes to social-desirability bias (Rosenman, Tennekoon, & Hill, 2011).”
From Adolescents’ Body Shame and Social Networking Sites: The Mediating Effect of Body Image Control in Photos (2020) · cites this paper as Rosenman, Tennekoon, & Hill, 2011
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Formulation and estimation of stochastic frontier production function models
Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977) · Journal of Econometrics · doi:10.1016/0304-4076(77)90052-5 · Cited by 10,135 · see citing works
Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
Meeusen, W., & van Den Broeck, J. (1977) · International Economic Review · doi:10.2307/2525757 · Cited by 6,247 · see citing works
Battese, G. E., & Coelli, T. J. (1995) · Empirical Economics · doi:10.1007/bf01205442 · Cited by 5,978 · see citing works
Schwartz, C. E., & Sprangers, M. A. G. (1999) · Social Science & Medicine · doi:10.1016/s0277-9536(99)00047-7 · Cited by 829 · see citing works
Response-shift bias: A source of contamination of self-report measures.
Howard, G. S., & Dailey, P. R. (1979) · Journal of Applied Psychology · doi:10.1037/0021-9010.64.2.144 · Cited by 565 · cited 2× · see citing works
“Based on previous literature (Howard and Dailey, 1979), we hypothesised that the one-sided errors (response bias) would be downward, and preliminary analysis supported that hypothesis.3 Additional preliminary analysis of which variables to include among zi (including a model using all the…”
BackgroundResultMeasuring Program Outcomes: Using Retrospective Pretest Methodology
Pratt, C. C., McGuigan, W. M., & Katzev, A. R. (2000) · American Journal of Evaluation · doi:10.1177/109821400002100305 · Cited by 554 · cited 2× · see citing works
“…potential for recalibration of self-rating bias as a function of material or skills learned in an intervention has long been a concern to programme evaluators as it may result in underestimates of programme effectiveness (Howard and Dailey, 1979; Norman, 2003; Pratt et al., 2000; Sprangers, 1989).”
BackgroundHoward (1980) · doi:10.1177/0193841x8000400105 · Cited by 531 · see citing works
Spoth, R. L., Redmond, C. R., & Shin, C. (1998) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.66.2.385 · Cited by 310 · see citing works
Using structural equation modeling to detect response shifts and true change
Oort, F. J. (2005) · Quality of Life Research · doi:10.1007/s11136-004-0830-y · Cited by 289 · see citing works
The Strengthening Families Program for the Prevention of Delinquency and Drug Use
Kumpfer, K. L., Molgaard, V. K., & Spoth, R. L. (1996) · Sage eBooks · doi:10.4135/9781483327679.n11 · Cited by 224 · see citing works
Spoth, R. L., Redmond, C. R., & Shin, C. (1998) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.66.2.385 · Cited by 222 · see citing works
Hi! How are you? Response shift, implicit theories and differing epistemologies
Norman, G. R. (2003) · Quality of Life Research · doi:10.1023/a:1023211129926 · Cited by 172 · see citing works
Oort, F. J., Visser, M. R. M., & Sprangers, M. A. G. (2005) · Quality of Life Research · doi:10.1007/s11136-004-0831-x · Cited by 162 · see citing works
A Controlled Parenting Skills Outcome Study Examining Individual Difference and Attendance Effects
Spoth, R. L., Redmond, C. R., Haggerty, K. P., & Ward, T. (1995) · Journal of Marriage and the Family · doi:10.2307/353698 · Cited by 113 · see citing works
Pretesting effects in retrospective pretest^posttest designs.
Sprangers, M. A. G., & Hoogstraten, J. (1989) · Journal of Applied Psychology · doi:10.1037//0021-9010.74.2.265 · Cited by 107 · see citing works
Pretesting effects in retrospective pretest-posttest designs.
Sprangers, M. A. G., & Hoogstraten, J. (1989) · Journal of Applied Psychology · doi:10.1037/0021-9010.74.2.265 · Cited by 88 · see citing works
Subject bias and the retrospective pretest in retrospect
Sprangers, M. A. G. (1989) · Bulletin of the Psychonomic Society · doi:10.3758/bf03329883 · Cited by 23 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Grit, self-efficacy, achievement orientation goals, and academic performance in University students
Alhadabi, A., & Karpinski, A. C. (2019) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1679202 · Cited by 488 · see citing works
Coping Strategies and Self-Efficacy in University Students: A Person-Centered Approach
Freire, C., Ferradás, M. D. M., Regueiro, B., Rodríguez, S., Valle, A., & Núñez, J. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00841 · Cited by 333 · see citing works
Coping with the forced swim stressor: Current state-of-the-art
Molendijk, M. L., & de Kloet, E. R. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.02.005 · Cited by 231 · see citing works
Zhang, L., Tan, P. Y., & Richards, D. R. (2021) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2021.104131 · Cited by 160 · see citing works
Helbich, M., Klein, N., Roberts, H., Hagedoorn, P., & Groenewegen, P. (2018) · Environmental Research · doi:10.1016/j.envres.2018.06.010 · Cited by 124 · see citing works
Understanding child and parent perceptions of barriers influencing children’s active school travel
Wilson, K., Clark, A. F., & Gilliland, J. (2018) · BMC Public Health · doi:10.1186/s12889-018-5874-y · Cited by 119 · see citing works
COVID-19-Related Fear and Anxiety: Spiritual-Religious Coping in Healthcare Workers in Portugal
Prazeres, F., Passos, L., Simões, J. A., Simões, P. A., Martins, C., & Teixeira, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18010220 · Cited by 118 · see citing works
Fragkos, K. C., & Crampton, P. E. S. (2019) · Academic Medicine · doi:10.1097/acm.0000000000003058 · Cited by 106 · see citing works
Useche, S. A., Montoro, L. V., Sanmartín, J., & Alonso, F. (2019) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.02.014 · Cited by 103 · see citing works
Li, L., & Peng, W. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.03.011 · Cited by 92 · see citing works
Zhang, L., & Tan, P. Y. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040578 · Cited by 99 · see citing works
Cheang, R., Gillions, A., & Sparkes, E. (2019) · Journal of Child and Family Studies · doi:10.1007/s10826-019-01413-9 · Cited by 95 · see citing works
Facebook Social Media for Depression Detection in the Thai Community
Katchapakirin, K., Wongpatikaseree, K., Yomaboot, P., & Kaewpitakkun, Y. (2018) · International Joint Conference on Computer Science and Software Engineering · doi:10.1109/jcsse.2018.8457362 · Cited by 94 · see citing works
Liu, Y., Zhang, Y., Jin, S. T., & Liu, Y. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101806 · Cited by 94 · see citing works
Intention to use Medical Apps Among Older Adults in the Netherlands: Cross-Sectional Study
Askari, M., Klaver, N. S., van Gestel, T. J., & van de Klundert, J. J. (2020) · Journal of Medical Internet Research · doi:10.2196/18080 · Cited by 89 · see citing works
Association of opioid misuse with anxiety and depression: A systematic review of the literature
Rogers, A. H., Zvolensky, M. J., Ditre, J. W., Buckner, J. D., & Asmundson, G. J. G. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.101978 · Cited by 85 · see citing works
Toward improved methods in social media research.
Griffioen, N., van Rooij, M. M. J. W., Lichtwarck‐Aschoff, A., & Granic, I. (2020) · Technology Mind and Behavior · doi:10.1037/tmb0000005 · Cited by 94 · see citing works
Siani, A., & Marley, S. A. (2021) · Health and Technology · doi:10.1007/s12553-021-00528-8 · Cited by 86 · see citing works
Denervaud, S., Knebel, J.-F., Hagmann, P., & Gentaz, E. (2019) · PLOS ONE · doi:10.1371/journal.pone.0225319 · Cited by 79 · see citing works
Gkargkavouzi, A., Halkos, G., & Matsiori, S. (2019) · Ecological Economics · doi:10.1016/j.ecolecon.2019.106394 · Cited by 82 · see citing works
Gioia, F., Griffiths, M. D., & Boursier, V. (2020) · Sex Roles · doi:10.1007/s11199-020-01142-0 · Cited by 81 · see citing works
Fang, Z., Tang, T., Zheng, Z., Zhou, X., Liu, W., & Zhang, Y. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102705 · Cited by 81 · see citing works
Głąbska, D., Skolmowska, D., & Guzek, D. (2020) · Sustainability · doi:10.3390/su12124930 · Cited by 76 · see citing works
Distraction of cyclists: how does it influence their risky behaviors and traffic crashes?
Useche, S. A., Alonso, F., Montoro, L. V., & Estéban, C. (2018) · PeerJ · doi:10.7717/peerj.5616 · Cited by 76 · see citing works
Useche, S. A., Montoro, L. V., Alonso, F., & Pastor, J. C. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01531 · Cited by 74 · see citing works
Ma, L., Ou, W., & Lee, C. S. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101179 · Cited by 83 · see citing works
Understanding the impact of information sources on COVID-19 related preventive measures in Finland
Farooq, A., Laato, S., Islam, A. K. M. N., & Isoaho, J. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101573 · Cited by 73 · see citing works
Hiselius, L. W., & Arnfalk, P. (2021) · European Transport Research Review · doi:10.1186/s12544-021-00471-9 · Cited by 70 · see citing works
van Elburg, F. R. T., Klaver, N. S., Nieboer, A. P., & Askari, M. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03130-3 · Cited by 73 · see citing works
Malvaso, A., & Kang, W. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.894610 · Cited by 68 · see citing works
Zadro, J. R., O’Keeffe, M., Allison, J. L., Lembke, K., Forbes, J., & Maher, C. G. (2020) · Physical Therapy · doi:10.1093/ptj/pzaa101 · Cited by 62 · see citing works
Xie, W., & Karan, K. (2019) · Journal of Interactive Advertising · doi:10.1080/15252019.2019.1651681 · Cited by 64 · see citing works
Wang, C., Zhang, W., Feng, Z., Wang, K., & Gao, Y. (2020) · Risk Analysis · doi:10.1111/risa.13499 · Cited by 61 · see citing works
Furness, K., Sarkies, M., Huggins, C. E., Croagh, D. G., & Haines, T. P. (2020) · Journal of Medical Internet Research · doi:10.2196/16112 · Cited by 61 · see citing works
Comparison of Cellulite Severity Scales and Imaging Methods
Young, V. L., & DiBernardo, B. E. (2020) · Aesthetic Surgery Journal · doi:10.1093/asj/sjaa226 · Cited by 61 · see citing works
Yu, B., Bao, S., Zhang, Y., Sullivan, J., & Flannagan, M. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102957 · Cited by 59 · see citing works
Bahji, A., Pierce, M., Wong, J., Roberge, J. N., Ortega, I., & Patten, S. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.6614 · Cited by 60 · see citing works
Richardson, D. L., Duncan, M. J., Clarke, N. D., Myers, T., & Tallis, J. A. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1850984 · Cited by 60 · see citing works
Lee, H. E., Kim, J. Y., & Kim, C. (2022) · Children · doi:10.3390/children9010037 · Cited by 69 · see citing works
Lavoie, K., Gosselin-Boucher, V., Stojanovic, J., Gupta, S., Gagné, M., Joyal-Desmarais, K., Séguin, K., Gorin, S. S., Ribeiro, P., Voisard, B., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059411 · Cited by 59 · see citing works
Instrumental Activities of Daily Living (iADL) Limitations in Europe: An Assessment of SHARE Data
Portela, D., Almada, M., Midão, L., & Costa, E. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17207387 · Cited by 58 · see citing works
Kids eat free: School feeding and family spending on education
Wang, H., & Cheng, Z. (2021) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2021.11.023 · Cited by 58 · see citing works
Useche, S. A., Alonso, F., Cendales, B., & Llamazares, F. J. (2021) · Psychology Research and Behavior Management · doi:10.2147/prbm.s305687 · Cited by 56 · see citing works
Wong, J. T., Bui, N. N., Fields, D. T., & Hughes, B. S. (2022) · Journal of Science Teacher Education · doi:10.1080/1046560x.2022.2112552 · Cited by 54 · see citing works
Traumatic Events and Substance Use Disorders in Adolescents
Basedow, L. A., Kuitunen‐Paul, S., Roessner, V., & Golub, Y. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00559 · Cited by 54 · see citing works
Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students
Huckins, J. F., daSilva, A. W., Wang, R., Wang, W., Hedlund, E. L., Murphy, E. I., Lopez, R. B., Rogers, C., Holtzheimer, P. E., Kelley, W. M., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00248 · Cited by 51 · see citing works
Karstoft, K., & Armour, C. (2022) · Journal of Traumatic Stress · doi:10.1002/jts.22880 · Cited by 52 · see citing works
Predictors of Emergency Preparedness Among Older Adults in the United States
Bell, S. A., Singer, D., Solway, E. S., Kirch, M., Kullgren, J. T., & Malani, P. (2020) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2020.80 · Cited by 50 · see citing works
Examination of students' willingness to change behaviour regarding meat consumption
Arnaudova, M., Brunner, T. A., & Götze, F. (2021) · Meat Science · doi:10.1016/j.meatsci.2021.108695 · Cited by 50 · see citing works
Enticott, J., Gill, J., Bacon, S., Lavoie, K., Epstein, D. S., Dawadi, S., Teede, H. J., & Boyle, J. A. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-057127 · Cited by 50 · see citing works
Shorey, S., Law, E. C. N., Thilagamangai, Mathews, J., Lim, S. H., Shi, L., Chua, J. S., Du, R., Chan, Y. H., Tan, T. C., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/41859 · Cited by 54 · see citing works
The impact of Big Data Analytics on firm sustainable performance
Ertz, M., Latrous, I., Dakhlaoui, A., & Sun, S. (2024) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.2990 · Cited by 61 · see citing works
Nguyen, H., Chua, K., Dregan, A., Vitoratou, S., Bayes‐Marin, I., Olaya, B., & Prina, M. A. (2019) · Journal of Aging and Health · doi:10.1177/0898264319891026 · Cited by 50 · see citing works
Elbejjani, M., Ahad, M. A. A., Simon, M., Ausserhofer, D., Dumit, N. Y., Abu‐Saad, H. H., & Dhaini, S. (2020) · BMC Nursing · doi:10.1186/s12912-020-00485-z · Cited by 50 · see citing works
Krols, J., Aerts, R., Vanlessen, N., Dewaelheyns, V., Dujardin, S., & Somers, B. (2022) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2022.104414 · Cited by 51 · see citing works
Active lifestyles moderate clinical outcomes in autosomal dominant frontotemporal degeneration
Casaletto, K. B., Staffaroni, A. M., Wolf, A., Appleby, B., Brushaber, D., Coppola, G., Dickerson, B., Domoto‐Reilly, K., Elahi, F. M., Fields, J., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12001 · Cited by 48 · see citing works
Liao, C.-H. (2023) · Behavioral Sciences · doi:10.3390/bs13080621 · Cited by 48 · see citing works
Shih, D.-P., Wen, C.-T., Kuo, H., Liang, W.-M., Liu, L., Su, C., & Wang, J. (2020) · Nutrients · doi:10.3390/nu12113332 · Cited by 47 · see citing works
Chen, L., & Khuangga, D. L. (2020) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.2056 · Cited by 47 · see citing works
Eryılmaz, N., Kennedy, A., Strietholt, R., & Johansson, S. (2025) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2025.101474 · Cited by 78 · see citing works
Rowe, A. C., Gold, E. R., & Carnelley, K. B. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17030968 · Cited by 46 · see citing works
Bradley, C. S., Dreifuerst, K. T., Johnson, B. K., & Loomis, A. (2022) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2022.02.010 · Cited by 45 · see citing works
A systematic review of school-based positive psychology interventions to foster teacher wellbeing
Vo, D. T., & Allen, K. (2022) · Teachers and Teaching · doi:10.1080/13540602.2022.2137138 · Cited by 45 · see citing works
Barriers and Facilitators of Healthcare Access for Autistic Children in the UK: a Systematic Review
Babalola, T. T., Sanguedolce, G., Dipper, L. T., & Botting, N. (2024) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-023-00420-3 · Cited by 59 · see citing works
What is Cyberstalking? A Review of Measurements
Wilson, C., Sheridan, L., & Garratt-Reed, D. (2021) · Journal of Interpersonal Violence · doi:10.1177/0886260520985489 · Cited by 46 · see citing works
Davison, J., Stewart-Knox, B. J., Connolly, P., Lloyd, K., Dunne, L., & Bunting, B. P. (2020) · Appetite · doi:10.1016/j.appet.2020.105020 · Cited by 45 · see citing works
Leniency Bias in Performance Ratings: The Big-Five Correlates
Cheng, K. H. C., Hui, C.-C. H., & Cascio, W. F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00521 · Cited by 43 · see citing works
Hesselink, G., Straten, L., Gallée, L., Brants, A., Holkenborg, J., Barten, D. G., & Schoon, Y. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06555-5 · Cited by 44 · see citing works
Did Wine Consumption Change During the COVID-19 Lockdown in France, Italy, Spain, and Portugal?
Dubois, M., Agnoli, L., Cardebat, J., Compés, R., Faye, B., Frick, B., Gaeta, D. N. V., Giraud-Heraud, E. E., Fur, E. L., Livat, F., et al. (2021) · Journal of Wine Economics · doi:10.1017/jwe.2021.19 · Cited by 45 · see citing works
Li, X., Useche, S. A., Zhang, Y., Wang, Y., Oviedo-Trespalacios, Ó., & Haworth, N. L. (2021) · Accident Analysis & Prevention · doi:10.1016/j.aap.2021.106471 · Cited by 42 · see citing works
Sezen-Gültekin, G., Bayrakçı, M., & LİMON, İ. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.648404 · Cited by 45 · see citing works
Badaghi, N., Buskbjerg, C. R., Kwakkenbos, L., Bosman, S. J. E., Zachariae, R. H., & Speckens, A. E. M. (2024) · Clinical Psychology Review · doi:10.1016/j.cpr.2024.102505 · Cited by 42 · see citing works
Almodaires, A. A., Alayyar, G. M., Almsaud, T. E. A., & Almutairi, F. M. (2018) · International Education Studies · doi:10.5539/ies.v12n1p10 · Cited by 40 · see citing works
Cohen‐Vogel, L., Sadler, J., Little, M., & Merrill, B. (2020) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2019.11.001 · Cited by 40 · see citing works
Dufour, M., Bergeron, N., Rabasa, A., Guay, S., & Geoffrion, S. (2021) · The Canadian Journal of Psychiatry · doi:10.1177/07067437211025217 · Cited by 40 · see citing works
Smoking is significantly associated with increased risk of COVID-19 and other respiratory infections
Rosoff, D. B., Yoo, J., & Lohoff, F. W. (2021) · Communications Biology · doi:10.1038/s42003-021-02685-y · Cited by 45 · see citing works
Neves, A. L., van Dael, J., O’Brien, N., Flott, K., Ghafur, S., Darzi, A. W., & Mayer, E. K. (2021) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x211066235 · Cited by 38 · see citing works
Hossian, M., Mielke, G. I., Nisar, M., Tremblay, M. S., & Khan, A. (2025) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-025-01809-5 · Cited by 39 · see citing works
McFadden, P., Neill, R. D., Mallett, J., Manthorpe, J., Gillen, P. A., Moriarty, J., Currie, D., Schroder, H. S., Ravalier, J. M., Nicholl, P., et al. (2021) · The British Journal of Social Work · doi:10.1093/bjsw/bcab198 · Cited by 39 · see citing works
Griffiths, M., Creedy, D. K., Carter, A. G., & Donnellan-Fernandez, R. E. (2022) · Nurse Education in Practice · doi:10.1016/j.nepr.2022.103349 · Cited by 38 · see citing works
Development and Validation of a Critical Thinking Assessment-Scale Short Form
Payan‐Carreira, R., Sacau, A., Rebelo, H., Sebastião, L., & Pnevmatikos, D. (2022) · Education Sciences · doi:10.3390/educsci12120938 · Cited by 38 · see citing works
Gillman, J. C., Turner, M. J., & Slater, M. J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288563 · Cited by 38 · see citing works
Karbownik, M. S., Paul, E., Nowicka, M., Nowicka, Z., Kowalczyk, R. P., Kowalczyk, E., & Pietras, T. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218398 · Cited by 42 · see citing works
Accuracy of Wearable Transdermal Alcohol Sensors: Systematic Review
Brobbin, E., Deluca, P., Hemrage, S., & Drummond, C. (2022) · Journal of Medical Internet Research · doi:10.2196/35178 · Cited by 37 · see citing works
Sazmand, A., Alipoor, G., Zafari, S., Zolhavarieh, S. M., Alanazi, A. D., & Sargison, N. D. (2020) · Frontiers in Veterinary Science · doi:10.3389/fvets.2020.584323 · Cited by 37 · see citing works
Psychological effects of green experiences in a virtual environment: a systematic review
Lee, M., Kim, E., Choe, J., Choi, S., Ha, S., & Kim, G. (2022) · Forests · doi:10.3390/f13101625 · Cited by 36 · see citing works
Back to the future: Considerations in use and reporting of the retrospective pretest
Hill, L. G. (2019) · International Journal of Behavioral Development · doi:10.1177/0165025419870245 · Cited by 39 · see citing works
Self-citationChubar, V., Leeuwen, K. G. V., Bijttebier, P., Assche, E. V., Bosmans, G., Noortgate, W. V. D., van Winkel, R., Goossens, L., & Claes, S. J. (2020) · European Psychiatry · doi:10.1192/j.eurpsy.2020.62 · Cited by 38 · see citing works
Extracting medicinal chemistry intuition via preference machine learning
Choung, O.-H., Vianello, R., Segler, M., Stiefl, N., & Jiménez-Luna, J. (2023) · Nature Communications · doi:10.1038/s41467-023-42242-1 · Cited by 33 · see citing works
Development of an AI literacy assessment for non-technical individuals: What do teachers know?
Ding, L., Kim, S., & Allday, R. A. (2024) · Contemporary Educational Technology · doi:10.30935/cedtech/14619 · Cited by 50 · see citing works
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Disclosure and health-related outcomes among children living with HIV and their caregivers
Amankwah‐Poku, M., Klutsey, D. A., & Asante, K. O. (2021) · AIDS Research and Therapy · doi:10.1186/s12981-021-00337-z · Cited by 35 · see citing works
Educating nursing students for cultural competence in emergencies: a randomized controlled trial
Kula, Y., Cohen, O., Clempert, N., Grinstein‐Cohen, O., & Slobodin, O. (2021) · BMC Nursing · doi:10.1186/s12912-021-00704-1 · Cited by 35 · see citing works
Sagen, J. S., Kjeken, I., Habberstad, A., Linge, A. D., Simonsen, A. E., Lyken, A. D., Irgens, E. L., Framstad, H., Lyby, P. S., Klokkerud, M., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13020320 · Cited by 35 · see citing works
Lima, F., Sims, S. A., & O’Donnell, M. (2020) · Australian and New Zealand Journal of Public Health · doi:10.1111/1753-6405.12978 · Cited by 35 · see citing works
Dorsman, K. A., Weiner‐Light, S., Staffaroni, A. M., Brown, J. A., Wolf, A. A., Cobigo, Y., Walters, S. M., Kramer, J. H., & Casaletto, K. B. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00104 · Cited by 35 · see citing works
Romeo, A., Edney, S. M., Plotnikoff, R. C., Olds, T., Vandelanotte, C., Ryan, J. C., Curtis, R., & Maher, C. A. (2021) · BMC Public Health · doi:10.1186/s12889-020-10100-0 · Cited by 35 · see citing works
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Senff, J. R., Tack, R. W. P., Mallick, A., Gutiérrez-Martínez, L., Duskin, J. A., Kimball, T. N., Tan, B. Y., Chemali, Z. N., Newhouse, A. L., Kourkoulis, C. E., et al. (2025) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2024-334925 · Cited by 34 · see citing works
- Authors
- Rosenman, R., Tennekoon, V., & Hill, L. G.
- Affiliations
- Washington State University (US)
- Corresponding author
- Rosenman, Robert
- Venue
- International Journal of Behavioural and Healthcare Research
- Publisher
- Inderscience Publishers
- Published
- 2011
- Volume
- 2
- Issue
- 4
- Pages
- 320
- ISSN
- 1755-3539 (ISSN-L)
- 1755-3547
- PMC
- PMC4224297
- OpenAlex
- W2078684842
- Cited by
- 1,050
- References
- 15
- Citations by year
- 2026: 131 · 2025: 200 · 2024: 126 · 2023: 123 · 2022: 147 · 2021: 121 · 2020: 104 · 2019: 73 · 2018: 16 · 2017: 3 · 2015: 1 · 2014: 2 · 2013: 1
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Behavioural and Healthcare Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R21DA025139, R21DA019758)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- response bias, self-reported data, response-shift bias, family intervention, gender differences, race and ethnicity, measurement bias, program evaluation
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