The DOI matches its Crossref record; 331 of the 332 references it cites were found in a registry or an index.
The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results
Abstract
This succinct and jargon-free introduction to effect sizes gives students and researchers the tools they need to interpret the practical significance of their results. Using a class-tested approach that includes numerous examples and step-by-step exercises, it introduces and explains three of the most important issues relating to the practical significance of research results: the reporting and interpretation of effect sizes (Part I), the analysis of statistical power (Part II), and the meta-analytic pooling of effect size estimates drawn from different studies (Part III). The book concludes with a handy list of recommendations for those actively engaged in or currently preparing research projects.
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
“All training effects were in a range of Cohen’s d = 0.240 and d = 0.295, which are conventionally labelled small effects72.”
From Voluntary upregulation of heart rate variability through biofeedback is improved by mental contemplative training (2019) · cites this paper as [72]
In the citing paper
“this may have inflated the reported effect sizes used in the power analysis (Ellis, 2010)”
From A Feasibility and Pilot Randomised Dismantling Trial of the Efficacy of Self-As-Context During Acceptance and Commitment Therapy. (2021) · cites this paper as Ellis, 2010
In the citing paper
“the use of effect sizes, such as Cohen d, is based on statistical assumptions that change is linear.”
From Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change (2018) · cites this paper as [27]
In the citing paper
“by employing effect sizes, researchers assume that the symptom change that follows treatment is average, constant, and representative of the average change experienced by any participating individual [18,27].”
From Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change (2018) · cites this paper as [27]
Citations
Cites
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Hartley, J. (2004) · Essential Guide to Qualitative Methods in Organizational Research · doi:10.4135/9781446280119.n26 · Cited by 15,461
(1963) · Medical Entomology and Zoology · Cited by 15,085
Psychometric theory (2nd ed.).
Sitgreaves, R. (1979) · Contemporary Psychology · doi:10.1037/018882 · Cited by 14,384
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
Cited by
Sorted by citations
Items 801–900 of 1,005
Tsiloni, E., Dragioti, E., Gouva, M., Vassilopoulos, S. P., & Mentis, M. N. (2023) · Gerontology & Geriatrics Education · doi:10.1080/02701960.2023.2189248 · Cited by 20
Matejun, M. (2015) · Zeszyty Naukowe. Rozprawy Naukowe / Politechnika Łódzka · Cited by 20
Wong, H. T., Lin, T.-K., & Lin, J. (2018) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2018.05.013 · Cited by 20
Khalifian, C., Leifker, F. R., Knopp, K. C., Wilks, C. R., Depp, C., Glynn, S., Bryan, C., & Morland, L. A. (2021) · Journal of Clinical Psychology · doi:10.1002/jclp.23251 · Cited by 18
The Impact of Gender Differences on Lifelong Learning Tendencies in Turkey: A Meta-Analysis
Öz, E. (2022) · SAGE Open · doi:10.1177/21582440221099528 · Cited by 22
A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation
Rade, M., Böhlen, S., Neuhaus, V., Löffler, D., Blumert, C., Merz, M., Koehl, U., Dehmel, S., Sewald, K., & Reiche, K. (2023) · Genome biology · doi:10.1186/s13059-023-03120-7 · Cited by 24
Keeton, C. P., Teetsel, R. N., Dull, N. M. S., & Ginsburg, G. S. (2015) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-015-0013-z · Cited by 21
Gravino, C., Scanniello, G., & Tortora, G. (2014) · Journal of Visual Languages & Computing · doi:10.1016/j.jvlc.2014.12.004 · Cited by 20
Negative Prospective Memory in Alzheimer’s Disease: “Do Not Perform That Action”
Haj, M. E., Coello, Y., Kapogiannis, D., Gallouj, K., & Antoine, P. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170807 · Cited by 20
EFFECTS OF LEARNING CYCLE MODELS ON SCIENCE SUCCESS: A META-ANALYSIS
Yaman, S., & ÇAKICI, Ş. K. (2018) · Journal of Baltic Science Education · doi:10.33225/jbse/18.17.65 · Cited by 20
An Experimental Study on the Effect of Visual Tasks on Discomfort Due to Peripheral Glare
Kent, M. G., Fotios, S. A., & Altomonte, S. (2018) · LEUKOS The Journal of the Illuminating Engineering Society of North America · doi:10.1080/15502724.2018.1489282 · Cited by 20
Effects of Overweight and Obesity on Postural Stability of Aging Females
Rezaeipour, M., & Apanasenko, G. L. (2018) · Middle East Journal of Rehabilitation and Health Studies · doi:10.5812/mejrh.81617 · Cited by 20
Vukasović, A., Asnaghi, M. A., Kostešić, P., Quasnichka, H. L., Cozzolino, C., Pušić, M. N., Hails, L. A., Trainor, N., Krause, C., Figallo, E., et al. (2019) · Cell Proliferation · doi:10.1111/cpr.12653 · Cited by 20
Vesterling, C., & Koglin, U. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.109932 · Cited by 20
Impact of selected composition and ripening conditions on CO2 solubility in semi-hard cheese
Acerbi, F., Guillard, V., Guillaume, C., & Gontard, N. (2015) · Food Chemistry · doi:10.1016/j.foodchem.2015.07.049 · Cited by 20
Consistency of report card grades and external assessments in a Canadian province
Ross, J. A., & Kostuch, L. (2011) · Educational Assessment Evaluation and Accountability · doi:10.1007/s11092-011-9117-3 · Cited by 20
Tips and Tricks for Successful Application of Statistical Methods to Biological Data
Schlenker, E. H. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-3127-9_21 · Cited by 20
Use of Confidence Intervals to Improve the Quality of Research Results Reporting and Interpretation
Kallogjeri, D., Francis, D. O., & Piccirillo, J. F. (2019) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2019.0793 · Cited by 22
Schroeder, E., Yi, H., Okech, D., Bolton, C., Aletraris, L., & Cody, A. M. (2023) · Trauma Violence & Abuse · doi:10.1177/15248380231204885 · Cited by 26
Lu, L., Ye, C., Xu, R.-A., Feng, H., & Liu, B. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06287-0 · Cited by 33
Performance of Hawley-type retainers: a systematic review of randomized clinical trials
Rahma, W. J. A., Kaklamanos, E. G., & Athanasiou, A. E. (2017) · European Journal of Orthodontics · doi:10.1093/ejo/cjx036 · Cited by 19
A method to quantify uncertainties in airtightness measurements: Zero-flow and envelope pressure
Prignon, M., Dawans, A., Altomonte, S., & Moeseke, G. V. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.02.006 · Cited by 19
Morando, A., Victor, T., & Dozza, M. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2900436 · Cited by 19
Locquiao, J., & Ives, B. (2020) · International Journal for Educational Integrity · doi:10.1007/s40979-020-00054-6 · Cited by 22
Weißmüller, K. S., & Vogel, R. (2020) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/muaa050 · Cited by 19
Busse, V., McLaren, L.-M., & Dahm, A. (2021) · Journal of Multilingual and Multicultural Development · doi:10.1080/01434632.2021.2005611 · Cited by 15
The recruit requirements of recent graduates: approaching the existing mismatch
Pujol-Jover, M., Duque, L. C., & Riera-Prunera, M.-C. (2022) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2022.2029695 · Cited by 19
Analysis of Physiological Signals for Stress Recognition with Different Car Handling Setups
Zontone, P., Affanni, A., Bernardini, R., Linz, L. D., Piras, A., & Rinaldo, R. (2022) · Electronics · doi:10.3390/electronics11060888 · Cited by 20
van Tienoven, T. P., Glorieux, A., Minnen, J., Braak, P. T., & Spruyt, B. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268923 · Cited by 19
Pompéia, S., Panjeh, S., Louzada, F., D'Almeida, V., Hipólide, D., & Cogo-Moreira, H. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1085302 · Cited by 16
Do teachers’ well-being and resilience predict their Foreign Language Teaching Enjoyment (FLTE)?
Wei, R., Yang, X., & Wang, J. (2023) · Applied Linguistics Review · doi:10.1515/applirev-2022-0115 · Cited by 24
Student and Staff Perceptions of Key Aspects of Computer Science Engineering Capstone Projects
Larrea, J. J. O., Domínguez, C., Jaime, A., & Izquierdo, F. J. G. (2015) · IEEE Transactions on Education · doi:10.1109/te.2015.2427118 · Cited by 19
Statistical power, effect size and animal welfare: recommendations for good practice
Hawkins, D. M., Gallacher, E., & Gammell, M. P. (2013) · Animal Welfare · doi:10.7120/09627286.22.3.339 · Cited by 19
Çalışkan, S., & Işık, İ. (2016) · Journal of Organizational Change Management · doi:10.1108/jocm-07-2015-0119 · Cited by 19
Vulnerability of spawning aggregations of a coastal marine fish to a small-scale fishery
Erisman, B., Cota-Nieto, J. J., Moreno‐Báez, M., & Aburto‐Oropeza, O. (2017) · Marine Biology · doi:10.1007/s00227-017-3135-8 · Cited by 19
Wu, X., She, M.-R., Li, Z., Song, F., & Sang, W. (2017) · Ergonomics · doi:10.1080/00140139.2017.1335884 · Cited by 17
Prescribed patch burnings increase thrips species richness and body size in grassland communities
Podgaiski, L. R., Cavalleri, A., Ferrando, C., Pillar, V., & Mendonça, M. D. S. (2018) · Insect Conservation and Diversity · doi:10.1111/icad.12269 · Cited by 15
Reliability & validity of the LIBRE Profile
Dore, E. C., Marino, M., Ni, P., Lomelín‐Gascón, J., Sonis, L. A., Amaya, F., Ryan, C. M., Schneider, J. C., Jette, A. M., & Kazis, L. E. (2018) · Burns · doi:10.1016/j.burns.2018.04.001 · Cited by 19
Is There a Cult of Statistical Significance in Agricultural Economics?
Rommel, J., & Weltin, M. (2020) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13050 · Cited by 19
Autobiographical recall as a tool to enhance the sense of self in Alzheimer’s disease
Haj, M. E., Gallouj, K., & Antoine, P. (2019) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2019.01.011 · Cited by 19
Is deterrence approach effective in combating tax evasion? A meta-analysis
Dularif, M., Sutrisno, T., Nurkholis, N., & Saraswati, E. (2019) · Problems and Perspectives in Management · doi:10.21511/ppm.17(2).2019.07 · Cited by 20
Gil‐Llario, M. D., Castro‐Calvo, J., Fernández‐García, O., Elipe‐Miravet, M., & Ballester‐Arnal, R. (2021) · Journal of Applied Research in Intellectual Disabilities · doi:10.1111/jar.12909 · Cited by 20
YAKAR, Z. Y. (2021) · Cukurova University Faculty of Education Journal · doi:10.14812/cuefd.865337 · Cited by 19
An examination of range effects when evaluating discomfort due to glare in Singaporean buildings
Kent, M. G., & Jakubiec, J. A. (2021) · Lighting Research & Technology · doi:10.1177/14771535211047220 · Cited by 21
Nehmy, T. J., & Wade, T. D. (2014) · Mental Health & Prevention · doi:10.1016/j.mhp.2014.11.002 · Cited by 21
Healthwalks: sensing fine-grained individual health condition via mobility data
Lin, Z., Lyu, S., Cao, H., Xu, F., Wei, Y., Samet, H., & Li, Y. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3432229 · Cited by 18
Ortloff, A.-M., Martius, F., Meier, M., Sans-Raimbault, T., Geierhaas, L., & Smith, M. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713671 · Cited by 26
Temporal focus clusters differ meaningfully in terms of anxiety and depressive symptomatology
McKay, M. T., Cole, J. C., & Percy, A. (2017) · Psychiatry Research · doi:10.1016/j.psychres.2017.06.061 · Cited by 18
Oranchuk, D. J., Flattery, M. R., & Robinson, T. L. (2019) · Physical Therapy in Sport · doi:10.1016/j.ptsp.2019.10.004 · Cited by 18
Jain, M., Shisler, S., Lane, C. E., Bagai, A., Brown, E. E., Engelbert, M., Vardy, Y., Eyers, J. E., Anda, D., & Parsekar, S. S. (2022) · Campbell Systematic Reviews · doi:10.1002/cl2.1253 · Cited by 24
Domazet, I. S., Marjanović, D., & Ahmetagić, D. (2022) · Ekonomika preduzeca · doi:10.5937/ekopre2204191d · Cited by 18
A Systematic Review and Meta-Analysis of Productive Peer Talk Moves
Hu, L., & Chen, G. (2023) · Journal of Behavioral Education · doi:10.1007/s10864-023-09513-9 · Cited by 19
Belay, H. A., Hailu, F. K., & Sinshaw, G. T. (2023) · Cogent Business & Management · doi:10.1080/23311975.2023.2229099 · Cited by 28
Ye, C., Ye, B., & Zhang, Z. (2024) · BMC Psychology · doi:10.1186/s40359-024-01812-8 · Cited by 18
Carrera, P., Caballero, A., Muñoz, D., González‐Iraizoz, M., & Fernández, I. (2014) · British Journal of Social Psychology · doi:10.1111/bjso.12058 · Cited by 18
A Prorating Method for Estimating MMPI-2-RF Scores From MMPI Responses
Tarescavage, A. M., Corey, D. M., & Ben‐Porath, Y. S. (2015) · Assessment · doi:10.1177/1073191115575070 · Cited by 18
How to design a randomised controlled trial
Brocklehurst, P. R., & Hoare, Z. (2017) · BDJ · doi:10.1038/sj.bdj.2017.411 · Cited by 20
Did the shift to computer-based testing in PISA 2015 affect reading scores? A View from East Asia
Komatsu, H., & Rappleye, J. (2017) · Compare A Journal of Comparative and International Education · doi:10.1080/03057925.2017.1309864 · Cited by 18
Proxemics and Approach Evaluation by Service Robot Based on User Behavior in Domestic Environment
Bhagya, S. M., Samarakoon, S. M. B. P., Sirithunge, H. P. C., Muthugala, M. A. V. J., Muthugala, J., Buddhika, A. G., & Jayasekara, A. G. B. P. (2018) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593713 · Cited by 18
Luna, D., García-Reyes, S., Soria-González, E. A., Avila-Rojas, M., Ramírez-Molina, V., García-Hernández, B., & Meneses-González, F. (2020) · Investigación en Educación Médica · doi:10.22201/facmed.20075057e.2020.35.20205 · Cited by 18
Xu, F., Lin, Z., Xia, T., Guo, D., & Li, Y. (2020) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3411807 · Cited by 18
Senf, B., Bender, B., & Fettel, J. (2021) · Supportive Care in Cancer · doi:10.1007/s00520-021-06429-w · Cited by 21
Lwamba, E., Ridlehoover, W., Kupfer, M., Shisler, S., Sonnenfeld, A., Langer, L., Eyers, J. E., Grant, S., & Barooah, B. (2021) · Campbell Systematic Reviews · doi:10.1002/cl2.1180 · Cited by 24
Roundtable: What's Next in Software Analytics
Hassan, A. E., Hindle, A., Runeson, P., Shepperd, M., Dévanbu, P., & Kim, S. (2013) · IEEE Software · doi:10.1109/ms.2013.85 · Cited by 18
Rohlfing, I. (2018) · Political Analysis · doi:10.1017/pan.2017.30 · Cited by 18
Development and Validation of the Musical Ear Training Assessment (META)
Wolf, A. D., & Kopiez, R. (2018) · Journal of Research in Music Education · doi:10.1177/0022429418754845 · Cited by 20
Mennig, M., Tennie, S., & Barke, A. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02702-0 · Cited by 21
da Silva, T. R., Sohn, J. M. B., Andreatini, R., & Stern, C. A. J. (2020) · Learning & Memory · doi:10.1101/lm.051615.120 · Cited by 19
Chiu, W., Badu‐Baiden, F., & Cho, H. (2024) · International Journal of Consumer Studies · doi:10.1111/ijcs.13052 · Cited by 27
Parental involvement and student creativity: a three-level meta-analysis
Fan, H., Feng, Y., & Zhang, Y. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1407279 · Cited by 28
Robelski, S., Mette, J., Wirth, T., Kiepe, N., Nienhaus, A., Harth, V., & Mache, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17020601 · Cited by 20
Powell, L., Edwards, K. M., Bauman, A. E., McGreevy, P. D., Podberscek, A. L., Neilly, B., Sherrington, C., & Stamatakis, E. A. (2020) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2019-000703 · Cited by 18
Feldmann, L., Landes, I., Kohls, G., Bakos, S., Bartling, J., Schulte‐Körne, G., & Greimel, E. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100896 · Cited by 18
High‐flow nasal cannula oxygen in children with bronchiolitis: A randomized controlled trial
Eşki, A., Öztürk, G. K., Turan, C., Özgül, S., Gülen, F., & Demir, E. (2022) · Pediatric Pulmonology · doi:10.1002/ppul.25893 · Cited by 17
Platz, L., & Jüttler, M. (2022) · Citizenship Social and Economics Education · doi:10.1177/14788047221135343 · Cited by 17
Verbeek, M. C., Weeland, J., Luijk, M. P. C. M., & van de Bongardt, D. (2023) · Archives of Sexual Behavior · doi:10.1007/s10508-023-02596-5 · Cited by 22
Designing Test Collections for Comparing Many Systems
Sakai, T. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2661893 · Cited by 17
Pires, R., Araújo-Pedrosa, A., Pereira, J., & Canavarro, M. C. (2014) · The Journal of Primary Prevention · doi:10.1007/s10935-014-0344-5 · Cited by 19
Integrating non-parametric models with linear components for producing software cost estimations
Mittas, N., Papatheocharous, E., Angelis, L., & Andreou, A. S. (2014) · Journal of Systems and Software · doi:10.1016/j.jss.2014.09.025 · Cited by 17
Kramer, L., Hirsch, O., Schloessler, K., Träger, S., Baum, E., & Donner‐Banzhoff, N. (2012) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-10-78 · Cited by 17
Anestis, M. D., & Capron, D. W. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.12.014 · Cited by 18
Test Case Prioritization Using Extended Digraphs
Emam, S., & Miller, J. (2015) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/2789209 · Cited by 17
Hadidi, Y. N. E., Kassaby, M. E., Fattah, S. A. E., & Khamis, N. S. (2016) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2016.03.021 · Cited by 17
Destination memory in schizophrenia: “Did I told Elvis Presley about the thief?”
Haj, M. E., Altman, R. A. E., Bortolon, C., Capdevielle, D., & Raffard, S. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.12.023 · Cited by 16
Lee, D. M., Duesbery, L., Han, P. P., Tashi, T., Her, C. S., & Pang, V. O. (2017) · Journal of Southeast Asian American Education and Advancement · doi:10.7771/2153-8999.1154 · Cited by 17
Köhler, A., Becker-Hébly, I., Richter‐Appelt, H., Cerwenka, S. C., Kreukels, B. P. C., van de Grift, T. C., Elaut, E., Heylens, G., & Nieder, T. O. (2019) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-0806-6892 · Cited by 20
Adamczyk, W. M., Buglewicz, E., Szikszay, T. M., Luedtke, K., & Bąbel, P. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.01.009 · Cited by 17
Feng, Y., Harrison, J. P., & Bozorgzadeh, N. (2019) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-019-01891-9 · Cited by 17
Mira‐Iglesias, A., López‐Labrador, F. X., Baselga-Moreno, V., Tortajada‐Girbés, M., Mollar‐Maseres, J., Carballido‐Fernández, M., Schwarz‐Chavarri, G., Puig‐Barberà, J., & Díez‐Domingo, J. (2019) · Eurosurveillance · doi:10.2807/1560-7917.es.2019.24.31.1800461 · Cited by 17
Campelo, F., & Wanner, E. F. (2020) · Journal of Heuristics · doi:10.1007/s10732-020-09454-w · Cited by 18
How Scary Are Threat Appeals? Evaluating the Intensity of Fear in Experimental Research
Dillard, J. P., & Li, S. S. (2019) · Human Communication Research · doi:10.1093/hcr/hqz008 · Cited by 17
Hall-Mills, S. S., & Marante, L. M. (2020) · Learning Disability Quarterly · doi:10.1177/0731948720906490 · Cited by 17
Farewell to Bright-Line: A Guide to Reporting Quantitative Results Without the S-Word
Cummins, K. M., & Marks, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00815 · Cited by 17
Ruiz-Castañeda, P., Molina, E. S., Aguirre-Loaiza, H., & Daza, M. T. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.571271 · Cited by 19
When personality gets under the skin: Need for uniqueness and body modifications
Weiler, S. M., Tetzlaff, B.-O., Herzberg, P. Y., & Jacobsen, T. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245158 · Cited by 17
Adicción a las redes sociales en estudiantes mexicanos: percepciones de discentes y docentes
Valencia-Ortíz, R., Almenara, J. C., & Ruíz, U. G. (2021) · Revista Tecnología Ciencia y Educación · doi:10.51302/tce.2021.616 · Cited by 27
Nam, B., Kim, J., Ryu, W., Kim, D. I., Frey, J. J., & DeVylder, J. (2021) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12805 · Cited by 18
Anestis, J. C., Anestis, M. D., Preston, O. C., & Rodriguez, T. R. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114408 · Cited by 17
Analysis of MLPA Data Using Novel Software Coffalyser.NET by MRC-Holland
Coffa, J., & van den Berg, J. (2011) · InTech eBooks · doi:10.5772/21898 · Cited by 17
Loring, D. W., Marino, S. E., Drane, D. L., Parfitt, D. B., Finney, G. R., & Meador, K. J. (2011) · The Clinical Neuropsychologist · doi:10.1080/13854046.2011.583279 · Cited by 17
Metadata
- Authors
- Ellis, P. D.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Corresponding author
- Ellis, Paul D.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2010-07-01
- OpenAlex
- W578092267
- Cited by
- 2,461
- References
- 332
- Citations by year
- 2026: 114 · 2025: 161 · 2024: 170 · 2023: 178 · 2022: 187 · 2021: 269 · 2020: 248 · 2019: 204 · 2018: 188 · 2017: 147 · 2016: 143 · 2015: 137 · 2014: 133 · 2013: 83 · 2012: 57
- FWCI
- 33.44
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- effect size, practical significance, statistical power, meta-analysis, effect size reporting, interpretation of research results
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
