The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Intraclass correlations: Uses in assessing rater reliability.
Abstract
Reliability coefficients often take the form of intraclass correlation coefficients. In this article, guidelines are given for choosing among six different forms of the intraclass correlation for reliability studies in which n target are rated by k judges. Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be made of the reliability results. Confidence intervals for each of the forms are reviewed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“As a result, the inter-rater agreement was quite high for categorical variables (mean Cohen's kappa = 0.73, SD = 0.13) and for continuous variables (mean intraclass correlation [26] = 0.80, SD = .14).”
From Social Relationships and Mortality Risk: A Meta-analytic Review (2010) · cites this paper as [26]
In the citing paper
“we used the methodology Shrout and Fleiss (1979) describe and computed the Shrout-Fleiss single ICC score agreement of .998, which is considered quite high (Koo and Li 2016).”
From Driving Brand Engagement Through Online Social Influencers: An Empirical Investigation of Sponsored Blogging Campaigns (2019) · cites this paper as Shrout and Fleiss (1979)
In the citing paper
“In contrast, Cohen's quadratically weighted kappa converges to two-factor intraclass correlation coefficients with random and fixed raters (i.e., the so-called ICC (2,1) and ICC(3,1) coefficients), where the items and raters are the two factors (Carrasco, 2010;Fleiss & Cohen, 1973;Janson & Olsson, 2001;Schuster, 2004;Schuster & Smith, 2005;Shrout & Fleiss, 1979;Warrens, 2014).”
From Quadratically Weighted Agreement Coefficients: Interpretations and Connections (2026) · cites this paper as Shrout & Fleiss, 1979
In the citing paper
“A sample of 11% of video data was double coded by the researcher and an experienced coder (the developer of CHIPPA). Inter‐rater reliability was based on intra‐class correlation (ICC) statistics from the mean rating for the two coders (k = 2) using a two‐way mixed effects consistency model (see Table 2 below) and resulted in good to excellent reliability across the CHIPPA subscales (Koo & Li, 2016”
From A plausible role of imagination in pretend play, counterfactual reasoning, and executive functions (2023) · cites this paper as Shrout & Fleiss, 1979
In the citing paper
“The results suggest that coders showed high agreement (intraclass correlation [2, 1] = 0.85; Shrout & Fleiss, 1979).”
From Respiratory and cognitive mediators of treatment change in panic disorder: Evidence for intervention specificity. (2010) · cites this paper as Shrout & Fleiss, 1979
In the citing paper
“Interrater reliability of the pre- and posttreatment assessments was excellent (intraclass correlations [2, 1] = 0.97 and 0.96, respectively; Shrout & Fleiss, 1979).”
From Respiratory and cognitive mediators of treatment change in panic disorder: Evidence for intervention specificity. (2010) · cites this paper as Shrout & Fleiss, 1979
In the citing paper
“ICC decomposes observed variance into between-query variance (task difficulty) and within-query variance (agent inconsistency), highlighting whether reported results reflect true capability or measurement noise.”
From Stochasticity in Agentic Evaluations: Quantifying Inconsistency with Intraclass Correlation (2025) · cites this paper as Shrout and Fleiss 1979
In the citing paper
“The ICC quantifies the proportion of total variance attributable to differences between tasks and can be understood as a function of both the difficulty of the dataset (variance between tasks) and the consistency of the agent (variance within tasks).”
From Stochasticity in Agentic Evaluations: Quantifying Inconsistency with Intraclass Correlation (2025) · cites this paper as Shrout and Fleiss 1979
In the citing paper
“Reproducibility of the final placenta, fetus and amniotic fluid volume in millilitres was assessed using the ICC (2,1) [37], [38] for inter-observer repeatability between the semi-automated Random Walker results, regarded as the ground-truth used for performance evaluation, and the newly generated FCNN outputs.”
From Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment (2021) · cites this paper as [37]
Citations
Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.3102/00028312006001112 · Cited by 8,013
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012
Snedecor, G. W., & Cochran, W. G. (1967) · Cited by 6,573
Scheffé, H. (1960) · Soil Science · doi:10.1097/00010694-196006000-00016 · Cited by 5,625
An Approximate Distribution of Estimates of Variance Components
Satterthwaite, F. E. (1946) · Biometrics Bulletin · doi:10.2307/3002019 · Cited by 4,373
The Intraclass Correlation Coefficient as a Measure of Reliability
Bartko, J. (1966) · Psychological Reports · doi:10.2466/pr0.1966.19.1.3 · Cited by 2,206
Statistics for the social sciences
Hays, W. L. (1973) · Medical Entomology and Zoology · Cited by 2,081
The theory of the estimation of test reliability
Kuder, G. F., & Richardson, M. W. (1937) · Psychometrika · doi:10.1007/bf02288391 · Cited by 1,953
Cited by
Sorted by citations
Items 22,701–22,800 of 23,883
Effectiveness of team-building and teamwork in real and virtual worlds
Ranade, R. S. (2009) · TigerPrints (Clemson University)
Schizophrenia-spectrum Behavior and Peer Responses to Individuals with Social Anhedonia
Baker, B. R. (2012) · University Libraries (University of Maryland)
Crotty, K. (2014) · University of Hertfordshire Research Archive (University of Hertfordshire) · doi:10.18745/th.15431
Influence of Scan Duration on the Reliability of Resting-State fMRI Regional Homogeneity
Xiao-tang, L., Zhou, J., & Liu, X. (2014) · Communications in computer and information science · doi:10.1007/978-3-662-45643-9_42
Mason, A. E. (2012) · UA Campus Repository (The University of Arizona)
Abrazado, M. (2012) · eScholarship (California Digital Library)
Ruqual: A System for Assessing Post-Editing
Housley, J. (2012) · ScholarsArchive (Brigham Young University)
Over structurering van beoordelingsmethoden voor open vragen
Frijns, P. H. A. M. (1993) · doi:10.26481/dis.19930304pf
Yorio, P. L. (2014) · D-Scholarship@Pitt (University of Pittsburgh)
Mayo-Wilson, E., Grant, S., Supplee, L. H., Kianersi, S., Amin, A., DeHaven, A., & Mellor, D. (2021) · Figshare · doi:10.6084/m9.figshare.14722173
Watanabe-Fujinuma, E., Origasa, H., Bamber, L., Roessig, L., Toyoda, T., Haga, Y., Gwaltney, C. J., & Pieske, B. M. (2020) · Figshare · doi:10.6084/m9.figshare.12671459
Vogt, A., Stiel, S., Heckel, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12992081
Klute, M., Laekeman, M., Kuss, K., Petzke, F. W., Dieterich, A. V., Leha, A., Neblett, R., Ehrhardt, S., Ulma, J., & Schäfer, A. G. M. (2021) · Figshare · doi:10.6084/m9.figshare.15253866
Laukkanen, A., Aunola, K., Korhonen, E., Barnett, L. M., & Sääkslahti, A. (2021) · Figshare · doi:10.6084/m9.figshare.14545111
Peter, K. A., Golz, C., Bürgin, R. A., Nübling, M., Voirol, C., Zürcher, S. J., & Hahn, S. (2022) · Figshare · doi:10.6084/m9.figshare.19726760
Wang, J.-C., Fu, R., Tao, X.-W., Mao, Y.-F., Wang, F., Zhang, Z.-C., Yu, W.-W., Chen, J., He, J., & Sun, B.-C. (2020) · Figshare · doi:10.6084/m9.figshare.12972268
Luu, J. M., Gebhard, C., Ramasundarahettige, C. F., et al. (2022) · Figshare · doi:10.6084/m9.figshare.17799861
Pavic, M., Bogowicz, M., Kraft, J., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12650314
Mokkink, L. B., Boers, M., van der Vleuten, C. P. M., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B. (2020) · Figshare · doi:10.6084/m9.figshare.13323854
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653939
Beker, S., Foxe, J. J., Venticinque, J., Bates, J. C., Ridgeway, E. M., Schaaf, R. C., & Molholm, S. (2021) · Figshare · doi:10.6084/m9.figshare.16714073
Han, X., Xiong, X., Shi, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14685013
Mayo-Wilson, E., Grant, S., Supplee, L. H., Kianersi, S., Amin, A., DeHaven, A., & Mellor, D. T. (2021) · Figshare · doi:10.6084/m9.figshare.14722170
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653942
Speer, J. E., Conley, Q., Thurber, D., Williams, B., Wasden, M., & Jackson, B. (2024) · Figshare · doi:10.6084/m9.figshare.26555159
Ours, C., Hodges, M. B., Oden, N. L., Sapp, J. C., & Biesecker, L. G. (2022) · Figshare · doi:10.6084/m9.figshare.19646206
Clarke, N. A., Wong, B., Lawrance, R. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26777677
Injeyan, H. S., Hogg‐Johnson, S., Abdulla, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071678
Yarlas, A. S., Lovley, A., Brown, D., Vera-Llonch, M., Khella, S. L., & Karam, C. (2023) · Figshare · doi:10.6084/m9.figshare.22618571
Additional file 3 of Interrater reliability in the assessment of physiotherapy students
Gittinger, F. P., Lemos, M., Neumann, J. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19373547
Additional file 2 of Interrater reliability in the assessment of physiotherapy students
Gittinger, F. P., Lemos, M., Neumann, J. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19373544
Yarlas, A. S., Lovley, A., Brown, D., Vera-Llonch, M., Khella, S. L., & Karam, C. (2023) · Figshare · doi:10.6084/m9.figshare.22618568
Khadhraoui, E., Müller, S. J., Hansen, N., Riedel, C. H., Langer, P., Timäus, C., Wiltfang, J., Bouter, C., Lange, C., & Ernst, M. S. (2022) · Figshare · doi:10.6084/m9.figshare.19418604
Fragoso Costa, P., Jentzen, W., Brahmer, A., Mavroeidi, I.-A., Zarrad, F., Umutlu, L., Fendler, W. P., Rischpler, C., Herrmann, K., Conti, M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20506869
Mayo-Wilson, E., Grant, S., Supplee, L. H., Kianersi, S., Amin, A., DeHaven, A., & Mellor, D. (2021) · Figshare · doi:10.6084/m9.figshare.14722182
Osborne, R. H., Nelson, L. M., Fehnel, S. E., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26593310
MacDermid, J. C., & Walton, D. M. (2022) · Figshare · doi:10.6084/m9.figshare.20138353
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653915
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653912
Takemoto, Y., Ito, D., Komori, S., Kishimoto, Y., Yamada, S., Hashizume, A., Katsuno, M., & Nakatochi, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736783
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653936
Mayo-Wilson, E., Grant, S., Supplee, L. H., Kianersi, S., Amin, A., DeHaven, A., & Mellor, D. (2021) · Figshare · doi:10.6084/m9.figshare.14722176
Wang, J.-C., Fu, R., Tao, X.-W., Mao, Y.-F., Wang, F., Zhang, Z.-C., Yu, W.-W., Chen, J., He, J., & Sun, B.-C. (2020) · Figshare · doi:10.6084/m9.figshare.12972271
Oliveira, C., Amstutz, F., Vuong, D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16306024
Essiet, I. A., Lander, N., Salmon, J., Duncan, M. J., Eyre, E., Ma, J., & Barnett, L. M. (2021) · Figshare · doi:10.6084/m9.figshare.16767718
Klute, M., Laekeman, M., Kuss, K., Petzke, F. W., Dieterich, A. V., Leha, A., Neblett, R., Ehrhardt, S., Ulma, J., & Schäfer, A. G. M. (2021) · Figshare · doi:10.6084/m9.figshare.15253863
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653930
Igwesi-Chidobe, C. N., Kitchen, S. S., Sorinola, I. O., & Godfrey, E. L. (2020) · Figshare · doi:10.6084/m9.figshare.13250886
de Pereira, A. R. Q., Loray, J. S. P., Moreno‐Poyato, A. R., Roldán-Merino, J. F., Botero, C., Bongiardino, L., Aufenacker, S. I., Stanley, S. K., Costa, T. F. O., Luís, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26711564
Schmidt, A. M., Stockton, D. J., Hunt, M. A., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13310434
Bo, K., Xie, X., Liu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26507215
Nikl, A., Janssen, M. F., Brodszky, V., & Rencz, F. (2023) · Figshare · doi:10.6084/m9.figshare.22606741
Khadhraoui, E., Müller, S. J., Hansen, N., Riedel, C. H., Langer, P., Timäus, C., Wiltfang, J., Bouter, C., Lange, C., & Ernst, M. S. (2022) · Figshare · doi:10.6084/m9.figshare.19418601
Potashman, M. H., Pang, M., Tahir, M., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22625293
Klute, M., Laekeman, M., Kuss, K., Petzke, F. W., Dieterich, A. V., Leha, A., Neblett, R., Ehrhardt, S., Ulma, J., & Schäfer, A. G. M. (2021) · Figshare · doi:10.6084/m9.figshare.15253857
Yeung, A., Iaboni, A., Rochon, E. A., Lavoie, M., Santiago, C., Yancheva, M., Novikova, J., Xu, M., Robin, J., Kaufman, L. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14737112
Igwesi-Chidobe, C. N., Sorinola, I. O., & Godfrey, E. L. (2021) · Figshare · doi:10.6084/m9.figshare.16590377
Nyirö, L., Potthoff, T., Siegenthaler, M. H., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16435978
Pavic, M., Bogowicz, M., Kraft, J., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12650317
Wang, H., Cao, C., Guo, C., He, Y., Li, F., Xu, R., Liu, M., Liu, Z., Pan, Y., Liu, F., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12650463
Ripping, T. M., Westhoff, E., Aaronson, N. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650032
Naberezhneva, N., Uleberg, O., Dahlhaug, M., Giil-Jensen, V., Ringdal, K. G., & Røise, O. (2024) · Figshare · doi:10.6084/m9.figshare.26619934
Xie, Z., Canalda-Baltrons, A., d’Enfert, C., & Manichanh, C. (2024) · Figshare · doi:10.6084/m9.figshare.26653921
Fan, M., Liu, A., Lu, T., Zhou, X., Tian, C., Liu, B., Xie, Q., Cai, J., Yin, L., Ge, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26690812
Beker, S., Foxe, J. J., Venticinque, J., Bates, J. C., Ridgeway, E. M., Schaaf, R. C., & Molholm, S. (2021) · Figshare · doi:10.6084/m9.figshare.16714070
Additional file 4 of Interrater reliability in the assessment of physiotherapy students
Gittinger, F. P., Lemos, M., Neumann, J. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19373550
Laukkanen, A., Aunola, K., Korhonen, E., Barnett, L. M., & Sääkslahti, A. (2021) · Figshare · doi:10.6084/m9.figshare.14545108
Desebbe, O., Vallier, S., Gergelé, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26605924
Clarke, N. A., Wong, B., Lawrance, R. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26777674
Desebbe, O., Vallier, S., Gergelé, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26605930
Opsommer, E., Chevalley, O., Pegito, I., & Demeulenaere, P. (2021) · Figshare · doi:10.6084/m9.figshare.16584561
Desebbe, O., Vallier, S., Gergelé, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26605921
Speer, J. E., Conley, Q., Thurber, D., Williams, B., Wasden, M., & Jackson, B. (2024) · Figshare · doi:10.6084/m9.figshare.26555156
Forrester, J. A., Vandenberg, N. J., & McHugh, J. V. (2009) · INFM-OAR (INFN Catania) · doi:10.5281/zenodo.187896
Pavic, M., Bogowicz, M., Kraft, J., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12650311
Cselényi, Z., Jučaitė, A., Kristensson, C., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12422435
Han, X., Xiong, X., Shi, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14685007
Ori, A. P. S., Lu, A. T., Horvath, S., & Ophoff, R. A. (2022) · Figshare · doi:10.6084/m9.figshare.21393661
Schmidt, A. M., Stockton, D. J., Hunt, M. A., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13310422
Speer, J. E., Conley, Q., Thurber, D., Williams, B., Wasden, M., & Jackson, B. (2024) · Figshare · doi:10.6084/m9.figshare.26555153
Wang, H., Cao, C., Guo, C., He, Y., Li, F., Xu, R., Liu, M., Liu, Z., Pan, Y., Liu, F., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12650466
Luu, J. M., Gebhard, C., Ramasundarahettige, C. F., et al. (2022) · Figshare · doi:10.6084/m9.figshare.17799867
Nyirö, L., Potthoff, T., Siegenthaler, M. H., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16435981
Yang, H., Chen, L., Cheng, Z., Yang, M., Wang, J., Lin, C., Wang, Y., Huang, L., Chen, Y., Peng, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14331657
Santos, J. A., Bolton, D. K., Rosewarne, E., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21564153
Olsson, H., Åhlund, K., Alfredsson, J., Andersson, D., Boström, A.-M., Guidetti, S. G. E., Prytz, M., & Ekerstad, N. (2023) · Figshare · doi:10.6084/m9.figshare.24751382
He, W., Fang, T., Fu, X., Lao, M., & Xiao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26676803
Vaz, J., Bartley, A., & Hunt, J. (2022) · Figshare · doi:10.6084/m9.figshare.19973323
Additional file 1 of Interrater reliability in the assessment of physiotherapy students
Gittinger, F. P., Lemos, M., Neumann, J. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19373541
Han, X., Xiong, X., Shi, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14685001
Olsson, H., Åhlund, K., Alfredsson, J., Andersson, D., Boström, A.-M., Guidetti, S. G. E., Prytz, M., & Ekerstad, N. (2024) · Figshare · doi:10.6084/m9.figshare.26649615
Han, X., Xiong, X., Shi, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14685019
Igwesi-Chidobe, C. N., Muomah, R. C., Sorinola, I. O., & Godfrey, E. L. (2021) · Figshare · doi:10.6084/m9.figshare.14558927
Brighi, C., Puttick, S. G., Li, S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19128739
Watanabe-Fujinuma, E., Origasa, H., Bamber, L., Roessig, L., Toyoda, T., Haga, Y., Gwaltney, C. J., & Pieske, B. M. (2020) · Figshare · doi:10.6084/m9.figshare.12671456
Metadata
- Authors
- Shrout, P. E., & Fleiss, J. L.
- Affiliations
- Columbia University (US)
- ORCID
- Shrout, Patrick E.
- Venue
- Psychological Bulletin
- Published
- 1979
- Volume
- 86
- Issue
- 2
- Pages
- 420-428
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2141403362
- Cited by
- 24,532
- References
- 20
- Citations by year
- 2026: 1452 · 2025: 1085 · 2024: 998 · 2023: 1023 · 2022: 1083 · 2021: 1379 · 2020: 1189 · 2019: 1116 · 2018: 1178 · 2017: 1113 · 2016: 1106 · 2015: 1057 · 2014: 1172 · 2013: 1044 · 2012: 914
- FWCI
- 13.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Multidisciplinary Science and Engineering Research
- Keywords
- intraclass correlation coefficient, rater reliability, inter-rater reliability, reliability coefficients, confidence intervals, multiple raters
- MeSH terms
- Humans, Reproducibility of Results, Models, Statistical
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