The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.
Abstract
In order to facilitate comparisons across follow-up studies that have used different measures of effect size, we provide a table of effect size equivalencies for the three most common measures: ROC area (AUC), Cohen's d, and r. We outline why AUC is the preferred measure of predictive or diagnostic accuracy in forensic psychology or psychiatry, and we urge researchers and practitioners to use numbers rather than verbal labels to characterize effect sizes.
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“The magnitude of the effects of these risk domains ranged from small (i.e., r= 0.099 for “low IQ/learning difficulties”) to large (i.e., r= 0.553 for “having a negative school attitude”) based on the criteria of Rice and Harris (2005) for interpreting effect sizes.”
From Risk Factors for School Absenteeism and Dropout: A Meta-Analytic Review (2019) · cites this paper as Rice and Harris (2005)
In the citing paper
“The AUC of 0.62 is also a moderate effect size [14], but is less than that for deadly violence (but this difference was not statistically significant).”
From The Domestic Abuse, Stalking and Harassment and Honour-Based Violence (DASH) Risk Assessment Instrument in Predicting Deadly or Persistent Domestic Abuse (2025) · cites this paper as [14]
In the citing paper
“The AUC of 0.67 for deadly violence is regarded as a “moderate” effect size [14].”
From The Domestic Abuse, Stalking and Harassment and Honour-Based Violence (DASH) Risk Assessment Instrument in Predicting Deadly or Persistent Domestic Abuse (2025) · cites this paper as [14]
In the citing paper
“AUC values of 0.56, 0.64, and 0.71 indicate small, medium, and large effects (Rice & Harris, 2005).”
From Strategies for monitoring mentoring relationship quality to predict early program dropout (2022) · cites this paper as Rice & Harris, 2005
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“AUC also has a plain language interpretation because it is conceptually and mathematically similar to the common language effect size or CL ( McGraw & Wong, 1992; see also Delaney & Vargha, 2002).”
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Items 701–800 of 1,001
Peterson, Z. D. (2022) · Journal of Sex Research · doi:10.1080/00224499.2022.2130856 · Cited by 12
“…p < 001.2 For other measures of convergent validity, given that the analyses involved point-biserial correlations with an expected base rate of 25% or less for sexual coercion/assault, .086, .212, and .327, were treated as low, medium, and high effect sizes, respectively (Rice & Harris, 2005).”
BackgroundInfluentialFeng, J., Chen, Y.-Y., Feng, Q., Ran, Z., & Shen, J. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.678424 · Cited by 12
“9, it was considered an outstanding discrimination (19).”
BackgroundYang, J., Shafran, R., Bennett, S., & Jolly, A. (2021) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045211028539 · Cited by 12
“Post-hoc pairwise comparisons using the Bonferroni correction and Cohen’s d effect sizes (Rice & Harris, 2005) were conducted on data for the PedsQL subscales to further examine whether there was a statistically significant difference between pre-camp scores and post-camp 1 scores, and between…”
MethodAge as a determining variable in the practice or abandonment of physical exercise among young people
Portela-Pino, I., Esteve, T. V., & Martínez‐Patiño, M. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253750 · Cited by 17
Deception and lie detection in the courtroom: The effect of defendants wearing medical face masks.
Vrij, A., & Hartwig, M. (2021) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2021.06.002 · Cited by 19
“Small effects are the equivalent of the difference in height between a 15- and 16-year old girl (about an inch) which is barely visible with the naked eye (Cohen, 1992; Rice & Harris, 2005).”
BackgroundHamilton, Z. K., Duwe, G., Kigerl, A., Gwinn, J. D., Langan, N. P., & Dollar, C. W. (2021) · Justice quarterly · doi:10.1080/07418825.2021.1906930 · Cited by 12
“The AUC is the industry standard for predictive accuracy and established effect-size range magnitudes are, negligible (<0.55), small (0.55–0.63), moderate (0.64–0.71), and strong (>0.71) (Rice & Harris, 2005).”
BackgroundInfluentialYoon, D., Eher, R., & Mokros, A. (2021) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2020.101780 · Cited by 12
de Ruigh, E. L., Kleeven, A. T. H., Jansen, L. M. C., Robbé, M. D. V., Vermeiren, R. R. J. M., Mulder, E. A., de Paauw, B., van de Ven, P. M., & Popma, A. (2020) · Journal of Forensic Psychiatry and Psychology · doi:10.1080/14789949.2020.1860250 · Cited by 20
“In a review conducted by Borum and colleagues (Bartel et al., 2000), the area under the curve (AUC) for the SAVRY total risk scores ranged from .74 to .80 across studies (these can be perceived as large effect sizes) (Rice & Harris, 2005).”
BackgroundLukács, G., & Specker, E. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240259 · Cited by 16
“The diagnostic efficiencies of these two devices (A and B) can then be statistically compared, for example, using DeLong’s test to compare the two AUCs [12, 13].”
MethodMr-ResNeXt: A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea
Chen, Q.-R., Yue, H.-J., Pang, X.-W., Lei, W.-B., Zhao, G.-S., Liao, E.-H., & Wang, Y.-Q. (2020) · NCAA · doi:10.1007/978-981-15-7670-6_35 · Cited by 12
Psychopathy, emotionality, and offending
Mossière, A., Olver, M., & Marche, T. (2020) · Journal of Forensic Psychiatry & Psychology · doi:10.1080/14789949.2020.1772341 · Cited by 12
“ROC generates an area under the curve (AUC) statistic whereby values of .56, .64, and .71 correspond to small, medium, and large effects, respectively (Rice & Harris, 2005).”
BackgroundConsidine, J., Street, M., Hutchinson, A. M., Mohebbi, M., Rawson, H., Dunning, T., Botti, M., Duke, M., Hutchison, A. F., & Bucknall, T. (2020) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2020.103612 · Cited by 12
Validity of Risk Assessment Instruments Among Juveniles Who Sexually Offended: Victim Age Matters
Krause, C., Roth, A., Landolt, M., Bessler, C., & Aebi, M. (2020) · Sexual abuse. A Journal of Research and Treatment · doi:10.1177/1079063220910719 · Cited by 12
“Others (Rice & Harris, 2005) suggest interpreting AUC values analogously to Cohen’s effect size d as small (AUC = .556–.639; d = .20–.50), moderate (AUC = .639–.714; 386 Sexual Abuse 33(4) d = .50–.80), and large (AUC ≥ .714; d ≥ .80).”
BackgroundMethodde Jong, Y., Mulder, C., Boon, A., Coenders, E., & van der Gaag, M. (2020) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgaa033 · Cited by 12
Developing a risk/need assessment tool for women offenders: a gender-informed approach
Wardrop, K., Wanamaker, K. A., & Derkzen, D. (2019) · doi:10.1108/jcrpp-03-2019-0017 · Cited by 12
Proof-of-concept study of a multi-gene risk score in adolescent bipolar disorder
Dimick, M. K., Cazes, J., Fıksenbaum, L., Zai, C. C. H., Tampakeras, M., Freeman, N., Youngstrom, E. A., Kennedy, J. L., & Goldstein, B. I. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.009 · Cited by 14
Generating actionable predictions regarding MOOC learners’ engagement in peer reviews
Er, E., Gómez-Sánchez, E., Bote-Lorenzo, M., Dimitriadis, Y., & Asensio-Pérez, J. (2019) · Behavior and Information Technology · doi:10.1080/0144929x.2019.1669222 · Cited by 12
Radatz, D. L., & Hilton, N. Z. (2019) · Partner Abuse · doi:10.1891/1946-6560.10.3.269 · Cited by 12
“In ID:p0120 cross-validations of the ODARA’s predictive accuracy for domestic violence recidivism in samples overlapping with the present study sample, area under the curves (AUCs) ranged from .65 to .74, considered medium to large effects (Rice & Harris, 2005).”
MethodValidity and Reliability of the Violence Risk Scale–Youth Sexual Offense Version
Rojas, E. Y., & Olver, M. (2019) · Sexual abuse. A Journal of Research and Treatment · doi:10.1177/1079063219858064 · Cited by 12
“A value of .50 represents chance-level predictive accuracy; values of .56, .64, and .71 represent small, medium, and large effects, respectively (Rice & Harris, 2005).”
BackgroundPechorro, P., Seto, M., Ray, J. V., Alberto, I., & Simões, M. (2019) · International journal of offender therapy and comparative criminology · doi:10.1177/0306624x19849569 · Cited by 12
Cheng, Z., Nakatsugawa, M., Zhou, X.-C., Hu, C., Greco, S., Kiess, A., Page, B., Alcorn, S., Haller, J., Utsunomiya, K., et al. (2019) · JCO Clinical Cancer Informatics · doi:10.1200/cci.18.00058 · Cited by 12
Shulman, E. P., Bechtold, J., Kelly, E., & Cauffman, E. (2018) · doi:10.1177/0887403416650250 · Cited by 12
“An AUC of .50, which is the AUC of the diagonal “chance performance” curve (and the equivalent of a Cohen’s d of 0.00; Rice & Harris, 2005), would indicate that a subscale was useless—no better than chance—at classifying youth with or without the criterion diagnosis.”
BackgroundMethodInfluentialPsychological Assessment of Intimate Partner Violence
Yaxley, R., Norris, K., & Haines, J. M. (2018) · Psychiatry, Psychology and Law · doi:10.1080/13218719.2017.1356211 · Cited by 12
“ROC analysis has become the preferred method of analysis in violence prediction studies because it allows scales to be compared and, unlike other statistics, is not adversely affected by the underlying recidivist rate in the target population – i.e. the base rate (Rice & Harris 2005).”
BackgroundMethodPersson, M., Sturup, J., Belfrage, H., & Kristiansson, M. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2017.12.079 · Cited by 12
Kingston, D. A., & Olver, M. (2018) · Criminal Justice and Behavior · doi:10.1177/0093854817743539 · Cited by 12
Lofthouse, R. E., Golding, L., Totsika, V., Hastings, R., & Lindsay, W. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.10.001 · Cited by 12
Liu, S., Gong, Y., Ren, H., Zhang, W., Chen, X.-N., Zhou, T., Li, X., & Chen, N. (2017) · OncoTarget · doi:10.18632/oncotarget.19051 · Cited by 12
Ortega-Campos, E., García-García, J., & Zaldívar-Basurto, F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00577 · Cited by 12
“71 are described as large effects (Rice and Harris, 2005).”
BackgroundInfluentialGuay, J.-P., Benbouriche, M., & Parent, G. (2015) · Pratiques Psychologiques · doi:10.1016/j.prps.2015.05.005 · Cited by 12
Gonsalves, V. M., McLawsen, J. E., Huss, M. T., & Scalora, M. J. (2013) · International Journal of Law and Psychiatry · doi:10.1016/j.ijlp.2013.01.010 · Cited by 12
“Other scholars discourage judging results according to absolute * p .05 ** p .01 cut-offs, and instead recommend that researchers and audiences alike interpret AUC values by comparing them to similar results in the relevant field of research (Rice & Harris, 2005).”
ResultSpeech-Based Automated Cognitive Impairment Detection From Remotely-Collected Cognitive Test Audio
Yu, B., Williamson, J., Mundt, J., & Quatieri, T. (2018) · IEEE Access · doi:10.1109/access.2018.2856478 · Cited by 12
“The effect size of these demographic variables on CI is quantified in Table 3 with Cohen’s d [30] for the age and education variables and the log odds ratio, appropriate for binary variables, for the gender variable.”
MethodMeyer, G. J., Katko, N. J., Mihura, J. L., Klag, M. J., & Meoni, L. A. (2018) · Journal of Personality Assessment · doi:10.1080/00223891.2017.1306780 · Cited by 12
“An AUC value of .7465 equates to a Cohen’s d value of 0.94 (Rice & Harris, 2005), which is large.”
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Do Cognitive Functions Belong in the Hierarchical Taxonomy of Psychopathology Model? A Meta-Analysis
Ringwald, W. R., Amitai Abramovitch, A., van Rentergem, J. A. A., & Kotov, R. (2025) · Perspectives on Psychological Science · doi:10.1177/17456916251347926 · Cited by 6
“For the current study, we converted all d values to r with a two-step procedure: We first converted d to point-biserial r (Rice & Harris, 2005); then we converted point-biserial r to biserial r (Terrell, 1982).”
Heritability and polygenic load for comorbid anxiety and depression
Tabrizi, F. F., Rosén, J., Grönvall, H., William-Olsson, V. R., Arner, E., Magnusson, P. K. E., Palm, C., Larsson, H., Viktorin, A., Bernhardsson, J., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03325-3 · Cited by 18
Liu, Z.-J., Zhong, Y.-C., Chen, S., Tanaka, H., Li, Y., Katsutani, H., Okunuki, T., Yabiku, H., & Kumai, T. (2024) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-024-01003-3 · Cited by 11
“Effect sizes were interpreted as follows: > 0.80 large, 0.50–0.79 moderate, 0.20–0.49 small, and < 0.20 trivial [35].”
InfluentialLiu, Z.-J., Zhong, Y.-C., Maemichi, T., Zhou, Q., Okunuki, T., Li, Y., Kazuki, W., & Kumai, T. (2024) · Journal of sport rehabilitation · doi:10.1123/jsr.2022-0455 · Cited by 11
Aaronson, S., Sackeim, H., Jiang, M., Badejo, S., Greco, T., Bunker, M., Conway, C., Demyttenaere, K., Young, A. H., McAllister-Williams, R., et al. (2023) · Australian and New Zealand journal of psychiatry (Print) · doi:10.1177/00048674231209837 · Cited by 11
“AUC values of 0.556, 0.639 and 0.714 correspond to small ( d = 0.2), medium ( d = 0.5) and large ( d = 0.8) ES (Rice and Harris, 2005).”
InfluentialTomkins, J., Simpson, A. D. J., & Polaschek, D. L. L. (2023) · Journal of Family Violence · doi:10.1007/s10896-023-00661-0 · Cited by 11
“Most variables did not significantly predict either outcome (see Tomkins, 2020 for full correlation matrix); and the magnitude of these relationships were generally small (Cohen, 1998, as cited in Rice & Harris, 2005).”
Death is a law: Death of former colleagues and management forecasts
Kuang, Y., Li, L.-Y., Lu, L., & Qin, B. (2022) · Accounting, Organizations and Society · doi:10.1016/j.aos.2022.101350 · Cited by 11
Troger, F., Lechner, I., Reindl, M., Tiller, C., Holzknecht, M., Pamminger, M., Kremser, C., Schwaiger, J. P., Reinstadler, S., Bauer, A., et al. (2022) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-021-00838-w · Cited by 11
“Rice M, Harris G. Comparing effect sizes in follow-up studies: ROC Area, Cohen’s d, and r. Law Hum Behav.”
MethodInfluentialReindl, M., Stiermaier, T., Lechner, I., Tiller, C., Holzknecht, M., Mayr, A., Schwaiger, J. P., Brenner, C., Klug, G., Bauer, A., et al. (2021) · European Heart Journal Open · doi:10.1093/ehjopen/oeab033 · Cited by 11
Viana, R., D'Alessio, D., Grant, L., Cooper, N., Arnold, D., Morgan, M., Provan, D., Cuker, A., Hill, Q., Tomiyama, Y., et al. (2021) · Advances in Therapy · doi:10.1007/s12325-021-01934-0 · Cited by 11
Jenkins, J. L., Valacich, J., Zimbelman, A. F., & Zimbelman, M. F. (2021) · Journal of Management Information Systems · doi:10.1080/07421222.2021.1962600 · Cited by 11
“An AUC of 0.7 or higher was considered an acceptable model with a strong effect size [37, 46].”
MethodInfluentialHilton, N. Z., Ricciardelli, R., Shewmake, J., Rodrigues, N. C., Seto, M. C., & Ham, E. (2021) · Issues in Mental Health Nursing · doi:10.1080/01612840.2021.1899350 · Cited by 15
“We treated AUCs of at least .556, .639, and .714 as small, medium, and large effect sizes, respectively (Rice & Harris, 2005).”
MethodSchwartz-Mette, R., Righthand, S., Hecker, J. E., Dore, G., & Huff, R. (2020) · Sexual abuse. A Journal of Research and Treatment · doi:10.1177/1079063219825871 · Cited by 11
Barnard-Brak, L., Richman, D., & Watkins, L. (2020) · Perspectives on Behavior Science · doi:10.1007/s40614-020-00258-8 · Cited by 11
Dawson, A. E., Egan, T. E., & Wymbs, B. T. (2017) · Assessment · doi:10.1177/1073191117746502 · Cited by 13
“Although AUC classification is relative to the goal of test, a general classification may be that AUC values of .6 or lower are considered poor, .6 to .7 are sufficient, .7 to .8 are good, .8 to .9 are very good, and .9 and higher are excellent (Rice & Harris, 2005).”
BackgroundExamination of triarchic psychopathy measure in a sample of Lithuanian juvenile offenders.
Laurinavičius, A., Sellbom, M., Klimukiene, V., Wygant, D., Laurinaitytė, I., Ustinavičiūtė, L., & Baltrūnas, M. (2019) · Psychological Assessment · doi:10.1037/pas0000793 · Cited by 11
Ross, A., Murrells, T., Kirby, T., Jaye, P., & Anderson, J. E. (2019) · doi:10.1016/j.ssci.2019.06.018 · Cited by 11
Cummings, K. D., Smolkowski, K., & Baker, D. (2019) · Learning Disability Quarterly · doi:10.1177/0731948719864408 · Cited by 11
Nelson, J. M., Phillips, C. A., McKinley, R. A., McIntire, L. K., Goodyear, C., & Monforton, L. (2019) · Military Psychology · doi:10.1080/08995605.2019.1598217 · Cited by 11
“Cohen’s d value that exceeds 0.8 represents a large effect between the two groups (Rice & Harris, 2005).”
BackgroundInfluentialvan Rooij, F. V., van der Put, C. E., Maaskant, A., Folkeringa, D., & Hermanns, J. (2019) · Children and youth services review · doi:10.1016/j.childyouth.2019.02.038 · Cited by 11
Gregório-Hertz, P., Eher, R., Etzler, S., & Rettenberger, M. (2019) · Sexual abuse. A Journal of Research and Treatment · doi:10.1177/1079063219841901 · Cited by 11
“Since AUC values are not sensitive to base rate effects (Hanley & McNeil, 1982; Rice & Harris, 2005) they allow comparisons between different scales and independent studies (Harris & Rice, 2007).”
BackgroundResultThe effect of mental countermeasures on neuroimaging‐based concealed information tests
Hsu, C., Begliomini, C., Dall’Acqua, T., & Ganis, G. (2019) · Human Brain Mapping · doi:10.1002/hbm.24567 · Cited by 15
“…meta-analysis of the CIT using skin conductance and event-related potential measures (P300 amplitude, specifically) reported effect sizes (d) of about 1.55 and 1.89, respectively (Meijer, Selle, Elber, & Ben-Shakhar, 2014), corresponding to AUCs of 0.86 and 0.91, respectively (Rice & Harris, 2005).”
MethodInfluentialHilton, N. Z., Ham, E., & Seto, M. C. (2019) · International journal of offender therapy and comparative criminology · doi:10.1177/0306624x18823621 · Cited by 11
Detecting over-reporting of symptoms: the French version of the self-report symptom inventory
Geurten, M., Meulemans, T., & Seron, X. (2018) · Clinical Neuropsychologist · doi:10.1080/13854046.2018.1524027 · Cited by 11
Olver, M., & Sewall, L. A. (2018) · doi:10.1177/0093854818762483 · Cited by 11
“…recidivist would have a higher score on a given risk tool than a randomly selected nonrecidivist. with values of .50 representing chance-level prediction, values of .56, .64, and .71 can be interpreted as corresponding to small, medium, and large effect sizes, respectively (Rice & Harris, 2005).”
BackgroundMethodHaines, A., Brown, A., Javaid, S., Khan, F., Noblett, S., Omodunbi, O., Sadiq, K., Zaman, W., & Whittington, R. (2017) · International journal of offender therapy and comparative criminology · doi:10.1177/0306624x17749449 · Cited by 11
“Rice and Harris (2005) suggest the following interpretations of AUC values: .500 to .556, small; .557 to .639, moderate; and .640 to 1.00, large.”
BackgroundInfluentialWilloughby, S., & Johnson, K. A. (2017) · American Journal of Physics · doi:10.1119/1.4979654 · Cited by 11
Fedoroff, J. P., Richards, D., Ranger, R., & Curry, S. D. (2016) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2016.06.011 · Cited by 11
Tully, R., Browne, K., & Craig, L. A. (2015) · Criminal Justice and Behavior · doi:10.1177/0093854814553096 · Cited by 11
“In this study, Thornton found a Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) of 0.78, which according to Rice and Harris (2005) can be considered a large effect size or good predictive accuracy.”
BackgroundMethodInfluentialAppraising the Risk Matrix 2000 Static Sex Offender Risk Assessment Tool
Tully, R., & Browne, K. (2015) · International journal of offender therapy and comparative criminology · doi:10.1177/0306624x13508928 · Cited by 11
“Table 2 offers comparisons of AUC and d alongside verbal descriptors, adapted from Rice and Harris (2005).”
MethodResultPsychopathy in Offenders with Intellectual Disabilities: A Comparison of the PCL-R and PCL:SV
Pouls, C., & Jeandarme, I. (2014) · International Journal of Forensic Mental Health · doi:10.1080/14999013.2014.922138 · Cited by 11
“Here, the authors found a median effect size (Cohen’s d) of .63 (p .001) for violent recidivism, which is comparable with an AUC of approximately .67 (Rice & Harris, 2005).”
MethodResultMills, J., & Gray, A. L. (2013) · Psychological services · doi:10.1037/a0032608 · Cited by 11
Eher, R., Schilling, F., Mönichweger, M., Haubner-Maclean, T., & Rettenberger, M. (2012) · doi:10.1515/mks-2012-950102 · Cited by 11
“Dabei ist die Vorhersageleistung des Instruments unter Verwendung nationaler wie internationaler Standards als sehr gut zu bezeichnen (Dahle 2005; Rice & Harris 2005).”
BackgroundThe Sex Offender Risk Appraisal Guide
Rice, M., & Harris, G. (2016) · doi:10.1007/978-1-4939-2416-5_21 · Cited by 11
Self-citationSepehry, A. (2015) · doi:10.14288/1.0167687 · Cited by 11
“371 and over is considered a large effect.(342) However, when we examine the specificity of the scales, specificity increases as the number of items drop (e.”
BackgroundHelmus, L. M. (2015) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2015-10835 · Cited by 11
“Consequently, the two effect size statistics will be interpreted interchangeably (with values of .56, .64, and .71 considered small, moderate, and large, following Rice & Harris, 2005).”
Post-traumatic stress disorder in peacekeepers: a systematic literature review and meta-analysis
Carmona, L., Camilo, C., Carvalho, V. S., & Chambel, M. J. (2024) · European Journal of Psychotraumatology · doi:10.1080/20008066.2024.2413735 · Cited by 14
“Effect sizes greater than r > .100 were deemed small, r > .243 as medium, and r > .371 as large, following Rice and Harris’ (2005) guidelines.”
BackgroundSheed, A., Mcewan, T., Papalia, N., Spivak, B., & Simmons, M. (2023) · Criminal Justice and Behavior · doi:10.1177/00938548231170799 · Cited by 10
“…dyad specifically. discRiminATiVe VAlidiTy of THe VP-sAfVR The VP-SAFvR demonstrated moderate discriminative validity for both same-dyad (AUC = .65; Rice & Harris, 2005) and any-dyad (AUC = .65) recidivism for youth aged 10 to 24 years, with a strong positive correlation observed between the…”
BackgroundInfluentialPredictive Bias in Juvenile Risk Assessment: Considering Race/Ethnicity and Sex
Childs, K. K., Peck, J. H., & Brady, C. M. (2022) · Crime & Delinquency · doi:10.1177/00111287221143936 · Cited by 9
“…(1) group-specific AUC values ranged from 0.56 to 0.59, (2) regardless of subgroup, the predictive accuracy of PACT risk level is relatively weak (Rice & Harris, 2005), although it does align with previous research using the PACT (e.g., Baglivio et al., 2013), and (3) confidence intervals for…”
BackgroundResultInfluentialBabchishin, K., Lee, S. C., Eke, A. W., & Seto, M. (2022) · Sexual offending · doi:10.5964/sotrap.7229 · Cited by 10
“Cohen’s ds of .20, .50, and .80 are considered small, moderate, and large effects (Rice & Harris, 2005).”
BackgroundPezzoli, P., Babchishin, K., Pullman, L. E., & Seto, M. (2022) · Archives of Sexual Behavior · doi:10.1007/s10508-022-02324-5 · Cited by 10
“In the risk assessment literature (e.g., Rice & Harris, 2005), it has been suggested that AUC values between .50 and .55 correspond to a small effect size (Cohen’s d = .20), values between .56 and 65 correspond to a medium effect size (d = .50), and values greater than .65 to a large effect size (d…”
BackgroundMeasurement and Correlates of Zoophilic Interest in an Online Community Sample
Zidenberg, A. M., & Olver, M. (2022) · Archives of Sexual Behavior · doi:10.1007/s10508-022-02429-x · Cited by 10
“With values of 0.50 representing chance level discrimination, AUCs of 0.56, 0.64, and 0.71 represent small, medium, and large effects, respectively, and directly correspond to d values of 0.20,0.50, and 0.80, respectively (Rice & Harris, 2005).”
BackgroundInfluentialEarly assessment of the risk of child welfare involvement for preventive purposes
van der Put, C. E., Assink, M., Schmitz, D., de Jager, A., Stams, G. J. J. M., & van Dam, L. (2022) · Children and Youth Services Review · doi:10.1016/j.childyouth.2022.106654 · Cited by 12
Validation of the YLS/CMI on an Australian Juvenile Offending Population
Dellar, K., Roberts, L. D., Bullen, J., Downe, K., & Kane, R. T. (2022) · International Journal of Offender Therapy and Comparative Criminology · doi:10.1177/0306624x221086556 · Cited by 18
“The weighted average effect size across all studies (AUC = 0.640, SD = 0.042) corresponded to a medium effect size according to Rice and Harris (2005).”
ResultInfluentialNa, K., Geem, Z. W., & Cho, S.-E. (2022) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s336947 · Cited by 14
Holzknecht, M., Tiller, C., Reindl, M., Lechner, I., Fink, P., Lunger, P., Mayr, A., Henninger, B., Brenner, C., Klug, G., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10235494 · Cited by 10
Radatz, D. L., & Hilton, N. Z. (2021) · Criminal Justice and Behavior · doi:10.1177/00938548211035816 · Cited by 10
“AUC values range from 0 to 1, and values upward of .556, .639, and .714 correspond to Cohen’s d of .2 (small effect), .5 (medium effect), and .8 (large effect), respectively (Rice & Harris, 2005).”
BackgroundWho has a Choice?: Survey-Based Predictors of Volitionality in Facebook Use and Non-use
Skeba, P., Saxena, D., Guha, S., & Baumer, E. (2021) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3463935 · Cited by 10
“75 which is generally considered a high score in fields such as applied psychology [67].”
BackgroundChristopoulos, K., Neilands, T., Koester, K. A., Sauceda, J., Dilworth, S., Mugavero, M., Crane, H., Fredericksen, R., Cachay, E., Mayer, K., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1892 · Cited by 10
Battaglia, A. M., Gicas, K., Rose, A. L., Mamak, M., & Goldberg, J. O. (2020) · Journal of Forensic Psychiatry & Psychology · doi:10.1080/14789949.2020.1867225 · Cited by 10
“We used Rice and Harris (2005) effect size guidelines for point/rank-biserial correlations and AUC: rpb of .100 (small), .243 (medium), and .371 (large); and AUC of .556 (small), .639 (medium), and .714 (large).”
BackgroundMethodHuang, S., Peterson-badali, M., Jang, E., & Skilling, T. (2020) · doi:10.1177/0093854820968877 · Cited by 10
“The yLS/CMI possesses moderate to strong internal consistency for most subscales (Catchpole & gretton, 2003; Schmidt et al., 2005), and moderate to strong concurrent validity with broad and narrowband scores on the Child Behavior Checklist (Schmidt et al., 2005) and Structured Assessment of…”
BackgroundCan the triarchic model of psychopathy predict youth offender recidivism?
Pechorro, P., Quintas, J., Delisi, M., & Gonçalves, R. (2020) · Psychology, Crime and Law · doi:10.1080/1068316x.2020.1818237 · Cited by 10
“The standard benchmarks stipulate that AUC values≥ .56 represent small effect sizes, AUC values≥ .64 represent medium effect sizes, and AUC values ≥ .71 represent large effect sizes (see Rice & Harris, 2005).”
BackgroundRamírez, A. V., Hornero, G., Royo, D., Aguilar, A., & Casas, O. (2020) · IEEE Access · doi:10.1109/access.2020.3008269 · Cited by 10
“3146 could be interpreted as a small-moderate effect [38].”
BackgroundCampbell, C., Barnes, A. R., Papp, J., D’Amato, C., Anderson, V. R., & Moses, N. (2020) · Criminal Justice and Behavior · doi:10.1177/0093854820924834 · Cited by 11
“For reference, AUC values of .56, .64, and .71 represent small, moderate, and large effects, respectively (Rice & Harris, 2005).”
BackgroundOrtega-Campos, E., García-García, J., Sánchez, L. D. L. F., & Zaldívar-Basurto, F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17062112 · Cited by 10
Silva, D. A., Lang, J., Petróski, E., Mello, J., Gaya, A., & Tremblay, M. (2020) · PeerJ · doi:10.7717/peerj.8651 · Cited by 10
Fields, J., Payne, D. C., Gallo, S., Busteed, D. R., & Jones, M. T. (2019) · Sports · doi:10.3390/sports7110239 · Cited by 10
Helmus, L., Johnson, S., & Harris, A. (2019) · Psychology, public policy and law · doi:10.1037/law0000201 · Cited by 10
Adjorlolo, S., & Chan, H. C. (2019) · International Journal of Law and Psychiatry · doi:10.1016/j.ijlp.2019.101458 · Cited by 24
Chesher, S. M., Netto, K., Appleby, B., Jacques, A., & Wild, C. (2019) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2018.11.019 · Cited by 10
Reverse Engineering the Behaviour of Twitter Bots
Bello, B. S., Heckel, R., & Minku, L. L. (2018) · International Conference on Social Networks Analysis, Management and Security · doi:10.1109/snams.2018.8554675 · Cited by 10
“70 or higher is considered strong [18].”
Changing Epistemological Beliefs with Nature of Science Implementations
Johnson, K. A., & Willoughby, S. (2018) · Physical Review Physics Education Research · doi:10.1103/physrevphyseducres.14.010110 · Cited by 10
Cartwright, J., Desmarais, S. L., Hazel, J., Griffith, T., & Azizian, A. (2017) · Law and Human Behavior · doi:10.1037/lhb0000263 · Cited by 10
Development of Vermont Assessment of Sex Offender Risk-2 (VASOR-2) Reoffense Risk Scale
McGrath, R., Lasher, M. P., Cumming, G. F., Langton, C. M., & Hoke, S. E. (2014) · Sexual abuse. A Journal of Research and Treatment · doi:10.1177/1079063213486936 · Cited by 10
“The AUC statistic is a recommended index of predictive accuracy for relatively low base-rate phenomena such as sexual reoffending (Rice & Harris, 2005).”
BackgroundPredicting Risk of Sexual Recidivism in Juveniles: Predictive Validity of the J‐SOAP‐II
Prentky, R., Pimental, A., Cavanaugh, D. J., & Righthand, S. (2012) · doi:10.1002/9780470714362.ch15 · Cited by 10
Effect Size as a Measure of Difference Between Two Populations
Dey, R., & Mulekar, M. (2018) · Encyclopedia of Social Network Analysis and Mining. 2nd Ed. · doi:10.1007/978-1-4939-7131-2_110195 · Cited by 10
Hukkelberg, S., Ormhaug, S., Holt, T., Wentzel-Larsen, T., & Jensen, T. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2013.11.001 · Cited by 10
Metadata
- Authors
- Rice, M. E., & Harris, G. T.
- Affiliations
- Waypoint Centre for Mental Health Care (CA)
- Venue
- Law and Human Behavior
- Published
- 2005-10
- Volume
- 29
- Issue
- 5
- Pages
- 615-620
- ISSN
- 0147-7307 (ISSN-L)
- 1573-661X
- OpenAlex
- W2060774914
- Cited by
- 1,608
- References
- 0
- Citations by year
- 2026: 60 · 2025: 84 · 2024: 90 · 2023: 121 · 2022: 151 · 2021: 150 · 2020: 174 · 2019: 137 · 2018: 112 · 2017: 80 · 2016: 88 · 2015: 65 · 2014: 64 · 2013: 58 · 2012: 51
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Law and Human Behavior (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- effect size, Cohen's d, diagnostic accuracy, prediction accuracy, forensic psychology, follow-up study
- MeSH terms
- Forecasting, Humans, ROC Curve, Risk Assessment
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