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.
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“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 101–200 of 1,005
Owens, M. M., Potter, A., Hyatt, C. S., Albaugh, M. D., Thompson, W. K., Jernigan, T. L., Yuan, D., Hahn, S., Allgaier, N. A., & Garavan, H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257535 · Cited by 157
The influence of deliberate practice on musical achievement: a meta-analysis.
Platz, F., Kopiez, R., Lehmann, A. C., & Wolf, A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00646 · Cited by 152
Aram, D., Fine, Y. H., & Ziv, M. (2012) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2012.03.005 · Cited by 172
Himmelstein, J., Ares, A., Gallagher, D., & Myers, J. (2016) · International Journal of Agricultural Sustainability · doi:10.1080/14735903.2016.1242332 · Cited by 162
Scharfen, H., & Memmert, D. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00817 · Cited by 176
Haller, H., Lauche, R., Sundberg, T., Dobos, G. J., & Cramer, H. (2019) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-019-3017-y · Cited by 155
Boutoleau-Bretonnière, C., Pouclet-Courtemanche, H., Gillet, A., Bernard, A., Deruet, A. L., Gouraud, I., Mazoue, A., Lamy, E., Rocher, L., Kapogiannis, D., et al. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-200604 · Cited by 151
Ghosh, R. (2014) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2014.02.009 · Cited by 155
Birds living near airports advance their dawn chorus and reduce overlap with aircraft noise
Gil, D., Honarmand, M., Pascual, J., Pérez-Mena, E., & Garcı́a, C. M. (2014) · Behavioral Ecology · doi:10.1093/beheco/aru207 · Cited by 153
Komatsu, H., & Rappleye, J. (2017) · Comparative Education · doi:10.1080/03050068.2017.1300008 · Cited by 164
Weissberger, G. H., Strong, J. V., Stefanidis, K. B., Summers, M. J., Bondi, M. W., & Stricker, N. H. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9360-6 · Cited by 169
Estimation for Better Inference in Neuroscience
Calin-Jageman, R. J., & Cumming, G. (2019) · eNeuro · doi:10.1523/eneuro.0205-19.2019 · Cited by 147
Olson, J. S., & Kellogg, W. A. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0378-8 · Cited by 171
Post-mortem analysis of neuroinflammatory changes in human Alzheimer’s disease
Gomez-Nicola, D., & Boche, D. (2015) · Alzheimer's Research & Therapy · doi:10.1186/s13195-015-0126-1 · Cited by 147
Homberg, F., & Bui, H. (2013) · Group & Organization Management · doi:10.1177/1059601113493925 · Cited by 168
Statistical inference as severe testing how to get beyond the statistics wars
Mayo, D. G. (2018) · Cited by 152
Mayer, R. E., & Pilegard, C. (2014) · The Cambridge Handbook of Multimedia Learning · doi:10.1017/cbo9781139547369.016 · Cited by 212
Schiavon, S., & Altomonte, S. (2014) · Building and Environment · doi:10.1016/j.buildenv.2014.03.028 · Cited by 144
Mohebbian, M. R., Marateb, H. R., Mansourian, M., Mañanas, M. Á., & Mokarian, F. (2016) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2016.11.004 · Cited by 142
Makovac, E., Thayer, J. F., & Ottaviani, C. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.001 · Cited by 136
Wallace, E. J., Mathias, J. L., & Ward, L. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9823-2 · Cited by 144
Haj, M. E., Altıntaş, E., Chapelet, G., Kapogiannis, D., & Gallouj, K. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113294 · Cited by 138
Artificial intelligence in marketing: A meta‐analytic review
Mehta, P., Jebarajakirthy, C., Maseeh, H. I., Anubha, A., Saha, R., & Dhanda, K. (2022) · Psychology and Marketing · doi:10.1002/mar.21716 · Cited by 138
Lefaucheur, J. P., André‐Obadia, N., Poulet, E., Devanne, H., Haffen, É., Londero, A., Cretin, B., Leroi, A., Radtchenko, A., Saba, G., et al. (2011) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2011.10.062 · Cited by 138
Bernardi, F., Chakhaia, L., & Leopold, L. (2016) · European Sociological Review · doi:10.1093/esr/jcw047 · Cited by 147
Espírito‐Santo, H., & Daniel, F. (2015) · Revista Portuguesa de Investigação Comportamental e Social · doi:10.7342/ismt.rpics.2015.1.1.14 · Cited by 143
Crossover Designs in Software Engineering Experiments: Benefits and Perils
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Vesco, K. K., KARANJA, N. M., King, J. C., Gillman, M. W., Leo, M. C., Perrin, N., McEvoy, C. T., Eckhardt, C. L., Smith, K., & Stevens, V. J. (2014) · Obesity · doi:10.1002/oby.20831 · Cited by 142
The invisible eye? Electronic performance monitoring and employee job performance
Bhave, D. P. (2013) · Personnel Psychology · doi:10.1111/peps.12046 · Cited by 124
Cameron, J. J., & Granger, S. (2018) · Personality and Social Psychology Review · doi:10.1177/1088868318756532 · Cited by 165
Warren, B. B., Thornhill, D., Stein, J. M., Fadell, M., Ingram, J. D., Funk, S. M., Norton, K. L., Lane, H. D., Bennett, C. M., Dunn, A. L., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2019001311 · Cited by 131
Converting between effect sizes
Polanin, J. R., & Snilstveit, B. (2016) · Campbell Systematic Reviews · doi:10.4073/cmpn.2016.3 · Cited by 130
Does My Device Leak Information? An a priori Statistical Power Analysis of Leakage Detection Tests
Mather, L., Oswald, E., Bandenburg, J., & Wójcik, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-42033-7_25 · Cited by 129
Schwab, A., Abrahamson, E., Starbuck, W. H., & Fidler, F. M. (2010) · Organization Science · doi:10.1287/orsc.1100.0557 · Cited by 129
Sex Offender Recidivism Revisited
Kim, B., Benekos, P. J., & Merlo, A. V. (2015) · Trauma Violence & Abuse · doi:10.1177/1524838014566719 · Cited by 129
Evaluation of the effect of landscape distance seen in window views on visual satisfaction
Kent, M. G., & Schiavon, S. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.107160 · Cited by 137
Riopel, M., Nenciovici, L., Potvin, P., Chastenay, P., Charland, P., Sarrasin, J. B., & Masson, S. (2019) · Studies in Science Education · doi:10.1080/03057267.2019.1722420 · Cited by 127
Exploring “Flow” in young Chinese EFL learners' online English learning activities
Liu, H., & Song, X. (2021) · System · doi:10.1016/j.system.2020.102425 · Cited by 126
Plant phenological responses to experimental warming—A synthesis
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Passive social network site use and subjective well-being: A moderated mediation model
Wu, C., Fan, C., Liu, Q., Zhou, Z., & Xie, X. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.038 · Cited by 148
Haller, H., Breilmann, P., Schröter, M., Dobos, G., & Cramer, H. (2021) · Scientific Reports · doi:10.1038/s41598-021-99882-w · Cited by 126
Covert retrieval practice benefits retention as much as overt retrieval practice.
Smith, M. A., Roediger, H. L., III, & Karpicke, J. D. (2013) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0033569 · Cited by 132
de Haan, E., & Nilsson, V. O. (2023) · Academy of Management Learning and Education · doi:10.5465/amle.2022.0107 · Cited by 150
The role of coping strategy and experience in predicting music performance anxiety
Biasutti, M., & Concina, E. (2014) · Musicae Scientiae · doi:10.1177/1029864914523282 · Cited by 122
A Research Methodology to Conduct Effective Research Syntheses: Meta-Analysis
Üstün, U., & Eryılmaz, A. (2014) · TED EĞİTİM VE BİLİM · doi:10.15390/eb.2014.3379 · Cited by 135
How to run an experimental auction: a review of recent advances
Canavari, M., Drichoutis, A. C., Lusk, J. L., & Nayga, R. M. (2019) · European Review of Agricultural Economics · doi:10.1093/erae/jbz038 · Cited by 130
Schneider, H., Krieger, J., & Bayraktar, A. (2011) · Journal of Business Ethics · doi:10.1007/s10551-011-0816-y · Cited by 128
Attallah, O. (2020) · Diagnostics · doi:10.3390/diagnostics10050292 · Cited by 118
Heilmann, F., Weinberg, H., & Wollny, R. (2022) · Brain Sciences · doi:10.3390/brainsci12081071 · Cited by 118
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Lee, Y.-R., & Enright, R. D. (2019) · Psychology and Health · doi:10.1080/08870446.2018.1554185 · Cited by 125
Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers
LeRouge, C., Slyke, C. V., Seale, D. E., & Wright, K. B. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3049 · Cited by 114
Zhang, K., Thapa, B., Ross, M. S., & Gann, D. (2016) · Ecosphere · doi:10.1002/ecs2.1366 · Cited by 121
Effect sizes and the interpretation of research results in international business
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Self-citationChai, H., Niu, G., Lian, S.-L., Chu, X., Liu, S., & Sun, X. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.05.005 · Cited by 128
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Determinants of Islamic banking adoption in Tunisia: empirical analysis
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Sweetened drink and snacking cues in adolescents. A study using ecological momentary assessment
Grenard, J. L., Stacy, A. W., Shiffman, S. S., Baraldi, A. N., MacKinnon, D. P., Lockhart, G., Kisbu‐Sakarya, Y., Boyle, S. C., Beleva, Y., Koprowski, C., et al. (2013) · Appetite · doi:10.1016/j.appet.2013.03.016 · Cited by 119
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Martin, P., & Tannenbaum, C. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-015959 · Cited by 118
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Yao, J., & Shepperd, M. (2020) · International Conference on Evaluation and Assessment in Software Engineering (EASE) · doi:10.1145/3383219.3383232 · Cited by 108
Ballester‐Arnal, R., García-Barba, M., Castro‐Calvo, J., Giménez‐García, C., & Gil‐Llario, M. D. (2022) · Sexuality Research and Social Policy · doi:10.1007/s13178-022-00720-z · Cited by 108
Buckland, N. J., Swinnerton, L. F., Ng, K., Price, M., Wilkinson, L. L., Myers, A., & Dalton, M. (2021) · Appetite · doi:10.1016/j.appet.2020.105017 · Cited by 106
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Gene flow analysis method, the D-statistic, is robust in a wide parameter space
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Schlicker, N., Langer, M., Ötting, S. K., Baum, K., König, C. J., & Wallach, D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106837 · Cited by 106
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Larner, A. J. (2014) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000363735 · Cited by 104
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Plunkett, M., & Kronborg, L. (2011) · Gifted and Talented International · doi:10.1080/15332276.2011.11673587 · Cited by 103
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Takeda, S., & Homberg, F. (2013) · British Educational Research Journal · doi:10.1002/berj.3088 · Cited by 93
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Fucci, D., Erdogmus, H., Turhan, B., Oivo, M., & Juristo, N. (2016) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2616877 · Cited by 90
Foley, S., & Hughes, C. H. (2018) · Developmental Review · doi:10.1016/j.dr.2018.03.007 · Cited by 90
Palm‐Forster, L. H., Ferraro, P. J., Janusch, N., Vossler, C. A., & Messer, K. D. (2019) · Environmental and Resource Economics · doi:10.1007/s10640-019-00342-x · Cited by 90
Niven, A. G., Laird, Y., Saunders, D. H., & Phillips, S. (2020) · Health Psychology Review · doi:10.1080/17437199.2020.1728564 · Cited by 104
Goagoses, N., Bolz, T., Eilts, J., Schipper, N., Wilke, J., Rademacher, A., Vesterling, C., & Koglin, U. (2022) · Current Psychology · doi:10.1007/s12144-022-03037-7 · Cited by 155
Practical Significance: Ordinal Scale Data and Effect Size in Zooarchaeology
Wolverton, S., Dombrosky, J., & Lyman, R. L. (2014) · International Journal of Osteoarchaeology · doi:10.1002/oa.2416 · Cited by 90
Statistical reform in information retrieval?
Sakai, T. (2014) · ACM SIGIR Forum · doi:10.1145/2641383.2641385 · Cited by 90
Recent and robust query auto-completion
Whiting, S., & Jose, J. M. (2014) · International World Wide Web Conference (WWW) · doi:10.1145/2566486.2568009 · Cited by 89
Demidenko, E. (2015) · The American Statistician · doi:10.1080/00031305.2015.1069760 · Cited by 96
Deslauriers, S., Raymond, M., Laliberté, M., Lavoie, A., Desmeules, F., Feldman, D. E., & Perreault, K. (2016) · Disability and Rehabilitation · doi:10.1080/09638288.2016.1238967 · Cited by 90
Vaessen, J., Rivas, A., Duvendack, M., Jones, R. P., Leeuw, F. L., Gils, G. H. C. V., Lukach, R., Holvoet, N., Bastiaensen, J., Hombrados, J. G., et al. (2014) · Campbell Systematic Reviews · doi:10.4073/csr.2014.8 · Cited by 90
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
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