The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Modern robust statistical methods: An easy way to maximize the accuracy and power of your research.
Open accessAbstract
Classic parametric statistical significance tests, such as analysis of variance and least squares regression, are widely used by researchers in many disciplines, including psychology. For classic parametric tests to produce accurate results, the assumptions underlying them (e.g., normality and homoscedasticity) must be satisfied. These assumptions are rarely met when analyzing real data. The use of classic parametric methods with violated assumptions can result in the inaccurate computation of p values, effect sizes, and confidence intervals. This may lead to substantive errors in the interpretation of data. Many modern robust statistical methods alleviate the problems inherent in using parametric methods with violated assumptions, yet modern methods are rarely used by researchers. The authors examine why this is the case, arguing that most researchers are unaware of the serious limitations of classic methods and are unfamiliar with modern alternatives. A range of modern robust and rank-based significance tests suitable for analyzing a wide range of designs is introduced. Practical advice on conducting modern analyses using software such as SPSS, SAS, and R is provided. The authors conclude by discussing robust effect size indices.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“We examined the total, direct, and indirect effects of each predictor variable on outcomes using bias-corrected bootstrapped estimates (Efron & Tibshirani, 1993) based on 10,000 bootstrapped samples, which provides a powerful test of mediation (Fritz & MacKinnon, 2007) and is robust to small departures from normality (Erceg-Hurn & Mirosevich, 2008).”
From Five Facets of Mindfulness and Psychological Health: Evaluating a Psychological Model of the Mechanisms of Mindfulness (2015) · cites this paper as Erceg-Hurn & Mirosevich, 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Beaton, A. E., & Keppel, G. (1975) · American Educational Research Journal · doi:10.2307/1162588 · Cited by 5,857
Rank transformations as a bridge between parametric and nonparametric statistics
Conover, W. J., & Iman, R. L. (1981) · The American Statistician · doi:10.1080/00031305.1981.10479327 · Cited by 3,922
Design and Analysis of Experiments in Psychology and Education.
Ehrenberg, A. S. C., & Lindquist, E. F. (1954) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2342775 · Cited by 2,634
Design and Analysis: A Researcher's Handbook
Morgan, J. P. (2005) · Technometrics · doi:10.1198/tech.2005.s329 · Cited by 2,416
Introduction to Robust Estimation and Hypothesis Testing
Wilcox, R. R. (2012) · Elsevier eBooks · doi:10.1016/c2010-0-67044-1 · Cited by 2,086
Glass, G. V., Peckham, P. D., & Sanders, J. R. (1972) · Review of Educational Research · doi:10.3102/00346543042003237 · Cited by 1,826
The unicorn, the normal curve, and other improbable creatures.
Micceri, T. (1989) · Psychological Bulletin · doi:10.1037/0033-2909.105.1.156 · Cited by 1,487
Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics
Conover, W. J., & Iman, R. L. (1981) · The American Statistician · doi:10.2307/2683975 · Cited by 1,481
NON-NORMALITY AND TESTS ON VARIANCES
BOX, G. E. P. (1953) · Biometrika · doi:10.1093/biomet/40.3-4.318 · Cited by 1,302
King, T., D'Agostino, R., & Stephens, M. A. (1987) · Technometrics · doi:10.2307/1269472 · Cited by 1,256
Research works printed but not linked: 1
- Bradley, J. V. (1978). Robustness? British Journal of Mathematical and Statistical Psychology, 31, 144-152.
Cited by
Sorted by citations
Items 301–400 of 965
Single-case research designs and the scientist-practitioner ideal in applied psychology.
Blampied, N. M. (2012) · American Psychological Association eBooks · doi:10.1037/13937-008 · Cited by 22
Ye, S., Yang, J., You, Y., Cao, D., Huang, H., Wu, M. P., Chen, J., Lang, J., & Shen, K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133498 · Cited by 21
Goodman, S. G., Seymour, T. L., & Anderson, B. R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.01.006 · Cited by 21
Validation of the Short Obsessive–Compulsive Disorder Screener (SOCS) in children and adolescents
Piqueras, J. A., Rodríguez-Jiménez, T., Ortiz, A. G., Moreno, E., Lázaro, L., & Godoy, A. (2015) · BJPsych Open · doi:10.1192/bjpo.bp.115.000695 · Cited by 20
Tamaño del efecto para la U de Mann-Whitney: aportes al artículo de Valdivia-Peralta et al
Ventura‐León, J. (2016) · Revista chilena de neuro-psiquiatría · doi:10.4067/s0717-92272016000400010 · Cited by 20
The role of self-reference and personal goals in the formation of memories of the future
Jeunehomme, O., & D’Argembeau, A. (2021) · Memory & Cognition · doi:10.3758/s13421-021-01150-9 · Cited by 21
Visconti, F., Jiménez, M. G., & de Paz, J. M. (2021) · Geoderma · doi:10.1016/j.geoderma.2021.115454 · Cited by 20
Li, J., Liu, Y., & Song, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.769459 · Cited by 20
Eleftheriadis, T., Pissas, G., Remoundou, M., Filippidis, G., Antoniadi, G., Oustampasidou, N., Liakopoulos, V., & Stefanidis, I. (2013) · International Urology and Nephrology · doi:10.1007/s11255-013-0497-9 · Cited by 20
Levan, A. J., Black, G. M., Mietchen, J. J., Baxter, L. C., Kirwan, C. B., & Gale, S. D. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9472-7 · Cited by 20
A novel method for textile odor removal using engineered water nanostructures
Zhu, L., Liu, Y., Ding, X., Wu, X., Sand, W., & Zhou, H. (2019) · RSC Advances · doi:10.1039/c9ra01988j · Cited by 21
Karnberger, S., & Antoniou, C. (2019) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2019.102549 · Cited by 20
Capriola-Hall, N. N., Ollendick, T. H., & White, S. W. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10169-2 · Cited by 19
The Relationship between Internet Use and Population Health: A Cross-Sectional Survey in China
Li, L., & Ding, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031322 · Cited by 20
Short, N. A., Ennis, C. R., Oglesby, M. E., Boffa, J. W., Joiner, T. E., & Schmidt, N. B. (2015) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2015.09.004 · Cited by 20
Use of t-test and ANOVA in Career-Technical Education Research
Rojewski, J. W., Lee, I. H., & Gemici, S. (2012) · Career and Technical Education Research · doi:10.5328/cter37.3.263 · Cited by 20
Technology enhanced learning in programming courses – international perspective
Ivanović, M. D., Xinogalos, S., Pitner, T., & Savić, M. (2016) · Education and Information Technologies · doi:10.1007/s10639-016-9565-y · Cited by 22
Briere, J., Runtz, M., Rassart, C. A., Rodd, K., & Godbout, N. (2020) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2020.104421 · Cited by 20
Mbareche, H., Dumont-Leblond, N., Bilodeau, G. J., & Duchaine, C. (2020) · Life · doi:10.3390/life10090185 · Cited by 19
Pilatti, A., Bravo, A. J., Michelini, Y., Aguirre, P., & Pautassi, R. M. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100389 · Cited by 28
The theory of planned behavior and dietary behaviors in competitive women bodybuilders
Haubenstricker, J. E., Lee, J. W., Segovia‐Siapco, G., & Medina, E. (2023) · BMC Public Health · doi:10.1186/s12889-023-16568-w · Cited by 19
Liu, X., Zeng, J., Zhang, Y., Yi, Z., Chen, S., & Liu, Y. (2024) · Journal of Child and Family Studies · doi:10.1007/s10826-023-02775-x · Cited by 22
A quantification of robustness.
Walsh, M. M., Einstein, E. H., & Gluck, K. A. (2013) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2013.07.002 · Cited by 23
Can We Expect to Recruit Future Engineers among Students who have Never Repaired a Toy?
Virtič, M. P., & Šorgo, A. (2015) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.12973/eurasia.2016.1201a · Cited by 19
Gene-environment interaction as a predictor of early adjustment in first episode psychosis
Fraguas, D., Díaz‐Caneja, C. M., Corripio, I., González-Pinto, A. M., Lobo, A., Bioque, M., Cuesta, M. J., Sanjuán, J., Rodríguez-Toscano, E., Arias, B., et al. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.02.021 · Cited by 20
Roh, S., Burnette, C. E., Lee, Y.-S., Giger, J. T., Goins, R. T., Petereit, D. G., Lawler, M. J., & Lee, K. H. (2018) · Women & Health · doi:10.1080/03630242.2018.1544965 · Cited by 19
Buckner, J. D., Neighbors, C., Walukevich‐Dienst, K., & Young, C. M. (2019) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000259 · Cited by 19
Residential insurance market responses after earthquake: A survey of Christchurch dwellers
Mumo, R., & Watt, R. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101166 · Cited by 19
Crandall, M., Bottema‐Beutel, K., McDaniel, J., Watson, L. R., & Yoder, P. J. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04041-w · Cited by 19
Quantifying individual variation in reaction norms: Mind the residual
Ramakers, J. J. C., Visser, M. E., & Gienapp, P. (2019) · Journal of Evolutionary Biology · doi:10.1111/jeb.13571 · Cited by 19
Quantile Regression Analysis and Other Alternatives to Ordinary Least Squares Regression
Haupt, H., Lösel, F. A., & Stemmler, M. (2013) · Methodology · doi:10.1027/1614-2241/a000077 · Cited by 19
Nicholson, M., Poulus, D., Johnson, D. M., Robergs, R., Kelly, V. G., & McNulty, C. R. (2024) · Journal of Electronic Gaming and Esports · doi:10.1123/jege.2024-0007 · Cited by 20
Chen, C., Zhu, Y., Sun, Y., & Que, M. (2025) · BMC Psychology · doi:10.1186/s40359-025-02418-4 · Cited by 18
Validating the eHealth Literacy Scale in Rural Adolescents
Giger, J. T., Barnhart, S., Feltner, F. J., Slone, M., Lawler, M. J., Windsor, L., & Windsor, A. J. (2020) · The Journal of Rural Health · doi:10.1111/jrh.12509 · Cited by 19
Zhang, H., Zhu, X., & Yu, X. (2021) · The British Journal of Social Work · doi:10.1093/bjsw/bcab063 · Cited by 18
Bokhari, S. A. A., & Manzoor, S. (2022) · American Journal of Industrial and Business Management · doi:10.4236/ajibm.2022.125048 · Cited by 18
Hoang, S. D., Nguyen, D. T. N., & Phạm, M. (2022) · GeoJournal of Tourism and Geosites · doi:10.30892/gtg.43314-908 · Cited by 18
Wu, W., Guo, Z., Li, S., Tu, F., Wu, X., Ma, X., Teng, Z., Chen, Y., & Zeng, Y. (2022) · Acta Psychologica · doi:10.1016/j.actpsy.2022.103739 · Cited by 21
The Dark Triad traits and suicidal ideation in Chinese adolescents: Mediation by social alienation
Wang, C., Guo, J., Zhou, X., Shen, Y., & You, J. (2022) · Journal of Research in Personality · doi:10.1016/j.jrp.2022.104332 · Cited by 18
Yoder, J. R., Hansen, J., Lobanov-Rostovsky, C., & Ruch, D. A. (2015) · Journal of Offender Rehabilitation · doi:10.1080/10509674.2015.1025177 · Cited by 19
Cognitive dysfunction associated with diabetic ketoacidosis in rats
Glaser, N. S., Anderson, S. E., Leong, W., Tancredi, D. J., & O’Donnell, M. E. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.01.014 · Cited by 18
Iijima, H., Fukutani, N., Isho, T., Yamamoto, Y., Hiraoka, M., Miyanobu, K., Jinnouchi, M., Kaneda, E., Aoyama, T., Kuroki, H., et al. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2016.12.021 · Cited by 19
Fetz, A. E., Neeli, I., Buddington, K. K., Read, R. W., Smeltzer, M. P., Radic, M. Z., & Bowlin, G. L. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00289 · Cited by 21
Price, R. B., Cummings, L. R., Gilchrist, D., Graur, S., Banihashemi, L., Kuo, S. S., & Siegle, G. J. (2018) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000309 · Cited by 18
Multi-venue exclusion program and early detection of problem gamblers: what works and what does not?
Hayer, T., Brosowski, T., & Meyer, G. (2020) · International Gambling Studies · doi:10.1080/14459795.2020.1766096 · Cited by 18
Zhang, J., Li, D., Ahemaitijiang, N., Peng, W., Zhai, B., & Wang, Y. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105253 · Cited by 21
La influencia del «engagement» en las trayectorias formativas de los estudiantes de Bachillerato
Pérez, P. R. Á., Aguilar, D. L., & Valladares-Hernández, R.-A. (2021) · Estudios sobre Educación · doi:10.15581/004.40.27-50 · Cited by 18
Gorrell, S., Hughes, E. K., Sawyer, S. M., Roberts, S. R., Nagata, J. M., Yeo, M., Lock, J., & Grange, D. L. (2021) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-021-01257-7 · Cited by 18
Critical success factors for configuration management implementation
Ali, U., & Kidd, C. (2013) · Industrial Management & Data Systems · doi:10.1108/02635571311303569 · Cited by 18
Projecting educational psychology’s future from its past and present: A trend analysis.
Alexander, P. A., Murphy, P. K., & Greene, J. A. (2011) · American Psychological Association eBooks · doi:10.1037/13273-001 · Cited by 18
Špur, N., Pokorny, B., & Šorgo, A. (2016) · Anthrozoös · doi:10.1080/08927936.2016.1228766 · Cited by 18
Sheetal, A., & Savani, K. (2021) · American Psychologist · doi:10.1037/amp0000868 · Cited by 17
Karim, S., Iqbal, M. S., Ahmad, N., Ansari, M. S., Mirza, Z., Merdad, A. A., Jastaniah, S. D., & Kumar, S. (2022) · Journal of King Saud University - Science · doi:10.1016/j.jksus.2022.102447 · Cited by 18
Attachment Disruptions, IQ, and PTSD in African American Adolescents: A Traumatology Perspective
Kira, I. A., Somers, C. L., Lewandowski, L., & Chiodo, L. M. (2012) · Journal of Aggression Maltreatment & Trauma · doi:10.1080/10926771.2012.698377 · Cited by 21
Regulating privacy in interpersonal online communication: The role of self-disclosure
Thon, F. M., & Jucks, R. (2014) · Studies in Communication Sciences · doi:10.1016/j.scoms.2014.03.012 · Cited by 17
Orihuela, C. A., Mrug, S., & Boggiano, M. M. (2017) · Appetite · doi:10.1016/j.appet.2017.07.008 · Cited by 17
Elliffe, D. M., & Elliffe, M. (2019) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.502 · Cited by 17
Anderson, J. D., Wagovich, S. A., & Brown, B. T. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-s-18-0039 · Cited by 18
Tacikowski, P., Freiburghaus, T., & Ehrsson, H. H. (2016) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2016.05.007 · Cited by 16
Caregiver Strain Questionnaire–Short Form 11 (CGSQ-SF11): A Validation Study
Brennan, G. M., Babinski, D. E., & Waschbusch, D. A. (2021) · Assessment · doi:10.1177/10731911211015360 · Cited by 17
Liu, X., Jing, Y., & Sheng, Y. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1139013 · Cited by 16
Incidencia del Género en el Estrés Laboral y Burnout del Profesorado Universitario
Delgado, Y. G., García-Álvarez, E., Aguilar, D. L., & Pérez, P. R. Á. (2023) · REICE Revista Iberoamericana sobre Calidad Eficacia y Cambio en Educación · doi:10.15366/reice2023.21.3.003 · Cited by 16
Chen, C., Zhu, Y., & Xiao, F. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1507075 · Cited by 23
Constrained Physical Space Constrains Hedonism
Xu, A. J., & Albarracín, D. (2016) · Journal of the Association for Consumer Research · doi:10.1086/688222 · Cited by 16
Robust Methods for Moderation Analysis with a Two-Level Regression Model
Yang, M., & Yuan, K. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2016.1235965 · Cited by 19
Kuhlman, K. R., Urizar, G. G., Robles, T. F., Yim, I. S., & Schetter, C. D. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.05.017 · Cited by 18
del Bío-Bío, U., Botello, C. M. S., Mendoza-Llanos, R., del Bío-Bío, U., Jara, Y. A. M., & del Bío-Bío, U. (2020) · Propósitos y Representaciones · doi:10.20511/pyr2020.v8n2.416 · Cited by 16
Holmer, E., Rudner, M., Schönström, K., & Andin, J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.534741 · Cited by 16
Ulfhake, B., Lerat, H., Honetschlager, J., Pernold, K., Rynekrová, M., Escot, K., Recordati, C., Kuiper, R., Rosati, G., Rigamonti, M., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267281 · Cited by 16
Okajima, I., Honda, Y., Semba, O., Kiyota, Y., & Tani, Y. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.918417 · Cited by 16
Nakić, J., Kosović, I. N., & Franić, A. (2022) · Applied Sciences · doi:10.3390/app12178754 · Cited by 16
Šorgo, A., Špur, N., & Škornik, S. (2016) · Journal of Environmental Management · doi:10.1016/j.jenvman.2016.09.024 · Cited by 17
Company social networks: customer communities or supplementary services?
Martins, C., & Patrício, L. (2018) · Journal of Services Marketing · doi:10.1108/jsm-07-2016-0250 · Cited by 16
Robinson, M. D., & Sedikides, C. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.031 · Cited by 18
Qian, J., & Yu, J. (2023) · Psychology Research and Behavior Management · doi:10.2147/prbm.s414837 · Cited by 15
The Impact of Health Anxiety in Multiple Sclerosis: A Replication and Treatment Case Series
Carrigan, N., Dysch, L., & Salkovskis, P. M. (2017) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s135246581700056x · Cited by 16
Ignatyev, Y., Mundt, A. P., von Peter, S., & Heinze, M. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5165 · Cited by 15
The Five-Factor Model of Personality: Consensus and Controversy
McCrae, R. R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.013 · Cited by 20
He, N., Houmei, H., Wang, M., & Li, H. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-021-00675-z · Cited by 16
Wang, F., Liu, H., & Fan, M. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104444 · Cited by 30
Iijima, H., Aoyama, T., Nishitani, K., Ito, H., Fukutani, N., Isho, T., Kaneda, E., Kuroki, H., & Matsuda, S. (2017) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2017.02.801 · Cited by 15
Gao, M., Shao, R., Huang, C., Liu, H., Chen, Y.-L., Lee, S., Lin, C., & Lee, T. M. C. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112776 · Cited by 16
Membership, Neighborhood Social Identification, Well-Being, and Health for the Elderly in Chile
Moyano‐Díaz, E., & Mendoza-Llanos, R. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.608482 · Cited by 17
Yu, W., Yang, S., Chen, M., Zhu, Y., Meng, Q., Yao, W., & Bu, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.851912 · Cited by 17
Lin, Y., Han, W., Kim, C. J., Jiang, L., & Xia, N. (2022) · Engineering Construction & Architectural Management · doi:10.1108/ecam-12-2021-1116 · Cited by 15
Sandborgh, M., Johansson, A., & Söderlund, A. (2016) · Pain Research and Management · doi:10.1155/2016/8281926 · Cited by 15
Analysis of high structural class coupling in object-oriented software systems
Savić, M., Ivanović, M. D., & Radovanović, M. (2017) · Computing · doi:10.1007/s00607-017-0549-6 · Cited by 15
Classifiers as a model-free group comparison test
Kim, B., & von Oertzen, T. (2017) · Behavior Research Methods · doi:10.3758/s13428-017-0880-z · Cited by 15
Effects of Self-Controlled Knowledge of Results on Learning a Taekwondo Serial Skill
Januário, M. S., Figueiredo, L. S., Portes, L. L., & Benda, R. N. (2019) · Perceptual and Motor Skills · doi:10.1177/0031512519869086 · Cited by 15
Medical education research: the application of robust statistical methods
Tavakol, M., & Wilcox, R. R. (2013) · International Journal of Medical Education · doi:10.5116/ijme.5181.5fe8 · Cited by 15
Chen, Q., Lu, Z., Liu, B., Xiao, Q., & Chan, K. L. (2025) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2025.107293 · Cited by 16
Buckner, J. D., Morris, P. E., Ferrie, M. L., & Scherzer, C. R. (2022) · Substance Use & Misuse · doi:10.1080/10826084.2022.2137813 · Cited by 14
Means to valuable exploration II: How to explore data to modify existing claims and create new ones
Höfler, M., McDonald, B., Kanske, P., & Miller, R. E. (2023) · Meta-Psychology · doi:10.15626/mp.2022.3270 · Cited by 15
Which robust regression technique is appropriate under violated assumptions? A simulation study
Kim, J., & Li, J. C. (2023) · Methodology · doi:10.5964/meth.8285 · Cited by 14
Yu, X., Yang, Y., & Bo, H. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1409757 · Cited by 14
Avcı, S., Özgenel, M., & Avcu, A. (2024) · Social Psychology of Education · doi:10.1007/s11218-024-09964-6 · Cited by 19
Spiritual Growth and Decline Among Patients With Cancer
Allmon, A. L., Tallman, B. A., & ALTMAIER, E. M. (2013) · Oncology nursing forum · doi:10.1188/13.onf.559-565 · Cited by 14
Bravo, A. J., Kelley, M. L., & Hollis, B. F. (2016) · Stress and Health · doi:10.1002/smi.2712 · Cited by 14
What's next? Disentangling availability from representativeness using binary decision tasks
Braga, J. N., Ferreira, M. B., Sherman, S. J., Mata, A., Jacinto, S., & Ferreira, M. S. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.03.006 · Cited by 14
Keshmiri, S., Sumioka, H., Yamazaki, R., & Ishiguro, H. (2018) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2018.00033 · Cited by 14
Metadata
- Authors
- Erceg-Hurn, D. M., & Mirosevich, V. M.
- Affiliations
- Government of Western Australia (AU)
- ORCID
- Erceg-Hurn, David M.
- Venue
- American Psychologist
- Published
- 2008
- Volume
- 63
- Issue
- 7
- Pages
- 591-601
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- OpenAlex
- W2102493402
- Cited by
- 959
- References
- 76
- Citations by year
- 2026: 38 · 2025: 59 · 2024: 55 · 2023: 54 · 2022: 81 · 2021: 54 · 2020: 94 · 2019: 77 · 2018: 61 · 2017: 66 · 2016: 73 · 2015: 59 · 2014: 45 · 2013: 36 · 2012: 41
- FWCI
- 20.78
- Type
- journal article
- Language
- en
- Open access
- Locations
- American Psychologist (publishedVersion)
- PubMed (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- robust statistics, rank tests, nonparametric tests, normality, homoscedasticity, statistical power, significance testing
- MeSH terms
- Data Interpretation, Statistical, Humans, Research, Software, Statistics, Nonparametric
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review