The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
Abstract
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric, (b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.
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
“Hedges g is viewed as more conservative than ES calculations that have previously been recommended for within-participant data.12,28,39”
In the citing paper
“The advantages of using Hedges g for correlated data (cf.39) include the fact that it controls for small sample size bias9 and does not risk inflation of the overall treatment effect when the data are correlated across time in excess of .50.28”
In the citing paper
“We selected Hedges’ g as our ES based on recent guidelines that indicate it is more conservative than previously recommended ES for use in correlated data, particularly for bias associated with small sample size.12,28,39”
In the citing paper
“Effect sizes from pre-post designs are generally less reliable and less informative about the effects of the intervention because they are likely to be influenced by confounding variables (Morris and DeShon, 2002).”
From The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research (2020) · cites this paper as Morris and DeShon, 2002
In the citing paper
“Generally, and conform to expectations (Light and Pillemer, 1986; Morris and DeShon, 2002), the average effect of feedback as reported in pre-post design studies is higher than in controlled studies and higher reported in published journal articles than in dissertations.”
From The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research (2020) · cites this paper as Morris and DeShon, 2002
In the citing paper
“Effect sizes computed for repeated measures designs and independent groups designs are not directly comparable because different degrees of freedom are used to calculate each [62,63].”
From Menstrual cycle effects on cognitive performance: A meta-analysis (2025) · cites this paper as [63]
In the citing paper
“When computing effect sizes, we did not correct for the correlation between the pre- and post-treatment means despite the within-subjects design (Morris and DeShon 2002); given that we used the LOCF method to deal with missing data, this would have artificially inflated the pre- to post-treatment mean correlations leading to less conservative estimates of effect size.”
From The Effectiveness of Mindfulness-Based Cognitive Therapy (MBCT) in Real-World Healthcare Services (2020) · cites this paper as Morris and DeShon 2002
In the citing paper
“The estimation of treatment effects on the dependent variables, for each study, was based on the calculation of the standardized mean change using raw score standardization (SMCR; see Appendix A), taking the standard deviations of the pretest [33,34].”
From Mindfulness-Based Interventions for People with Schizophrenia: A Systematic Review and Meta-Analysis (2020) · cites this paper as [34]
In the citing paper
“Letting φ() denote the cumulative density function of a standard normal distribution, the interpretation of the standardized mean change can also be facilitated by noting that φ(d) estimates the proportion of individuals for which the difference or change scores reflect a preferable outcome [31].”
From How to boost positive interpretations? A Meta-Analysis of the effectiveness of cognitive bias modification for interpretation (2014) · cites this paper as [31]
In the citing paper
“For an effect size of 0.2 (a “small” effect), the positive interpretation bias is expected to increase (and negative mood is expected to decrease) for φ(0.2) = .58 (i.e., 58%) of individuals.”
From How to boost positive interpretations? A Meta-Analysis of the effectiveness of cognitive bias modification for interpretation (2014) · cites this paper as [31]
In the citing paper
“Effect sizes of 0.5 (a “medium” effect) and 0.8 (a “large” effect) correspond to an increase in positive interpretation bias (and a decrease in negative mood) in 69% and 79% of individuals, respectively [31].”
From How to boost positive interpretations? A Meta-Analysis of the effectiveness of cognitive bias modification for interpretation (2014) · cites this paper as [31]
In the citing paper
“as there was no indication for publication bias [31], we cautiously suggest that even had there been other unpublished data, these would not have changed the results.”
From How to boost positive interpretations? A Meta-Analysis of the effectiveness of cognitive bias modification for interpretation (2014) · cites this paper as [31]
In the citing paper
“Based on the premise for comparing ES previously utilized [58-60], for each of the measures of interest based on the therapeutic intervention (Figure 1).”
Citations
Cites
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
(1979) · Medical Entomology and Zoology · Cited by 11,252
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
Quasi-experimentation: Design and analysis issues for field settings
Shrout, P. E. (1980) · Evaluation and Program Planning · doi:10.1016/0149-7189(80)90063-4 · Cited by 6,091
Beaton, A. E., & Keppel, G. (1975) · American Educational Research Journal · doi:10.2307/1162588 · Cited by 5,857
Distribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,840
Meta-Analytic Procedures for Social Research
Rosenthal, R. (1991) · doi:10.4135/9781412984997 · Cited by 4,635
Meta-Analytic Procedures for Social Research.
Metcalfe, A., & Rosenthal, R. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348600 · Cited by 4,249
Research works printed but not linked: 2
- Keppel, 1982, Design and analysis: A researcher's handbook
- 10.1037/0022-006X.63.1.79 · DOI · Paper page
Cited by
Sorted by citations
Items 101–200 of 1,033
White, S. W., Ollendick, T. H., Albano, A. M., Oswald, D. P., Johnson, C. R., Southam‐Gerow, M. A., Kim, I., & Scahill, L. D. (2012) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1577-x · Cited by 330
Mishara, A. L., & Goldberg, T. E. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.01.027 · Cited by 308
Knittle, K. P., Nurmi, J., Crutzen, R., Hankonen, N. E., Beattie, M. M., & Dombrowski, S. U. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1435299 · Cited by 349
RHOADES, G. K., Dush, C. M. K., Atkins, D. C., Stanley, S. M., & Markman, H. J. (2011) · Journal of Family Psychology · doi:10.1037/a0023627 · Cited by 302
Varotto, A., & Spagnolli, A. (2017) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2017.03.011 · Cited by 334
A Meta-Analysis of Negative Feedback on Intrinsic Motivation
Fong, C. J., Patall, E. A., Vasquez, A. C., & Stautberg, S. (2019) · Educational Psychology Review · doi:10.1007/s10648-018-9446-6 · Cited by 299
Kaiser, T., Herzog, P., Voderholzer, U., & Brakemeier, E. (2021) · Depression and Anxiety · doi:10.1002/da.23136 · Cited by 296
The role of familiarity in correcting inaccurate information.
Swire‐Thompson, B., Ecker, U. K. H., & Lewandowsky, S. (2017) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000422 · Cited by 315
Sheridan, S. M., Bovaird, J. A., Glover, T. A., Garbacz, S. A., Witte, A. L., & Kwon, K. (2012) · School Psychology Review · doi:10.1080/02796015.2012.12087374 · Cited by 313
A meta‐analytic evaluation of diversity training outcomes
Kalinoski, Z. T., Steele‐Johnson, D., Peyton, E. J., Leas, K. A., Steinke, J. A., & Bowling, N. A. (2012) · Journal of Organizational Behavior · doi:10.1002/job.1839 · Cited by 295
Examining the Effectiveness of Solution-Focused Brief Therapy: A Meta-Analysis
Kim, J. S. (2008) · Research on Social Work Practice · doi:10.1177/1049731507307807 · Cited by 317
Villinger, K., Wahl, D. R., Boeing, H., Schupp, H. T., & Renner, B. (2019) · Obesity Reviews · doi:10.1111/obr.12903 · Cited by 310
Efficacy of biofeedback for migraine: A meta-analysis
Nestoriuc, Y., & Martin, A. (2007) · Pain · doi:10.1016/j.pain.2006.09.007 · Cited by 292
Thompson, T., Terhune, D. B., Oram, C., Sharangparni, J., Rouf, R., Solmi, M., Veronese, N., & Stubbs, B. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.013 · Cited by 285
Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias
Schmidt, J., & Bijmolt, T. H. A. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00666-6 · Cited by 340
Arenas, D. J., Thomas, A., Wang, J., & DeLisser, H. M. (2019) · Journal of General Internal Medicine · doi:10.1007/s11606-019-05202-4 · Cited by 293
Mindfulness training affects attention—Or is it attentional effort?
Jensen, C. G., Vangkilde, S., Frokjaer, V., & Hasselbalch, S. G. (2012) · Journal of Experimental Psychology: General · doi:10.1037/a0024931 · Cited by 284
Does Incidental Disgust Amplify Moral Judgment? A Meta-Analytic Review of Experimental Evidence
Landy, J. F., & Goodwin, G. P. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691615583128 · Cited by 300
The efficacy of metacognitive therapy: A systematic review and meta-analysis
Normann, N., & Morina, N. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02211 · Cited by 289
Single vs. multiple sets of resistance exercise for muscle hypertrophy: a meta-analysis.
Krieger, J. W. (2010) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e3181d4d436 · Cited by 276
Transfer of test- enhanced learning: meta-analytic review and synthesis
Pan, S. C., & Rickard, T. C. (2018) · Psychological Bulletin · doi:10.1037/bul0000151 · Cited by 286
Lying takes time: A meta-analysis on reaction time measures of deception.
Suchotzki, K., Verschuère, B., Bockstaele, B. V., Ben‐Shakhar, G., & Crombez, G. (2017) · Psychological Bulletin · doi:10.1037/bul0000087 · Cited by 309
Understanding the Third-Person Perception: Evidence From a Meta-Analysis
Sun, Y., Pan, Z., & Shen, L. (2008) · Journal of Communication · doi:10.1111/j.1460-2466.2008.00385.x · Cited by 284
The effectiveness of treatment for pediatric obsessive-compulsive disorder: A meta-analysis
Abramowitz, J. S., Whiteside, S. P. H., & Deacon, B. J. (2005) · Behavior Therapy · doi:10.1016/s0005-7894(05)80054-1 · Cited by 274
Exercise Interventions for Cancer Survivors: A Meta-Analysis of Quality of Life Outcomes
Ferrer, R. A., Huedo-Medina, T. B., Johnson, B. T., Ryan, S. M., & Pescatello, L. S. (2010) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9225-1 · Cited by 282
The dread factor: how hazards and safety training influence learning and performance.
Burke, M. J., Salvador, R. O., Smith-Crowe, K., Chan‐Serafin, S., Smith, A., & Sonesh, S. (2011) · Journal of Applied Psychology · doi:10.1037/a0021838 · Cited by 264
Juvenile drug court: Enhancing outcomes by integrating evidence-based treatments.
Henggeler, S. W., Halliday‐Boykins, C. A., Cunningham, P. B., Randall, J., Shapiro, S. B., & Chapman, J. E. (2006) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.74.1.42 · Cited by 271
Salivary markers of inflammation in response to acute stress
Slavish, D. C., Graham‐Engeland, J. E., Smyth, J. M., & Engeland, C. G. (2014) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2014.08.008 · Cited by 274
Steffens, N. K., LaRue, C. J., Haslam, C., Walter, Z. C., Cruwys, T., Munt, K. A., Haslam, S. A., Jetten, J., & Tarrant, M. (2021) · Health Psychology Review · doi:10.1080/17437199.2019.1669481 · Cited by 259
Muscular adaptations in low- versus high-load resistance training: a meta-analysis.
Schoenfeld, B. J., Wilson, J. M., Lowery, R. P., & Krieger, J. W. (2016) · European Journal of Sport Science · doi:10.1080/17461391.2014.989922 · Cited by 249
Conn, V. S., Hafdahl, A. R., Brown, S. A., & Brown, L. M. (2007) · Patient Education and Counseling · doi:10.1016/j.pec.2007.10.004 · Cited by 274
Teaching Mindfulness to Teachers: a Systematic Review and Narrative Synthesis
Emerson, L.-M., Leyland, A., Hudson, K., Rowse, G., Hanley, P., & Hugh-Jones, S. (2017) · Mindfulness · doi:10.1007/s12671-017-0691-4 · Cited by 258
“Cohen’s d was calculated by extracting the mean difference and standard deviations from intervention and control groups (where appropriate; for formulae, see Higgins and Green 2011; Morris and DeShon 2002; Schmidt and Hunter 2014).”
MethodTolin, D. F., Frost, R. O., Steketee, G., & Muroff, J. (2015) · Depression and Anxiety · doi:10.1002/da.22327 · Cited by 259
THE EFFICACY OF METACOGNITIVE THERAPY FOR ANXIETY AND DEPRESSION: A META-ANALYTIC REVIEW
Normann, N., van Emmerik, A., & Nexhmedin Morina, B. (2014) · Depression and Anxiety · doi:10.1002/da.22273 · Cited by 266
Working memory training and transfer in older adults.
Richmond, L. L., Morrison, A. B., Chein, J. M., & Olson, I. R. (2011) · Psychology and Aging · doi:10.1037/a0023631 · Cited by 277
Video Feedback in Education and Training: Putting Learning in the Picture
Fukkink, R. G., Trienekens, N., & Kramer, L. J. C. (2010) · Educational Psychology Review · doi:10.1007/s10648-010-9144-5 · Cited by 281
Waters, L. E., Barsky, A. P., Ridd, A., & Allen, K. (2014) · Educational Psychology Review · doi:10.1007/s10648-014-9258-2 · Cited by 298
Using tests to enhance 8th grade students' retention of U.S. history facts
Carpenter, S. K., Pashler, H., & Cepeda, N. J. (2009) · Applied Cognitive Psychology · doi:10.1002/acp.1507 · Cited by 254
EEG power spectral measures of cognitive workload: A meta‐analysis
Chikhi, S., Matton, N., & Blanchet, S. (2022) · Psychophysiology · doi:10.1111/psyp.14009 · Cited by 258
Busch, V., Magerl, W., Kern, U., Haas, J., Hajak, G., & Eichhammer, P. (2011) · Pain Medicine · doi:10.1111/j.1526-4637.2011.01243.x · Cited by 277
Scherrer, V., & Preckel, F. (2019) · Review of Educational Research · doi:10.3102/0034654318819127 · Cited by 251
Carey, K. B., Scott‐Sheldon, L. A. J., Elliott, J. C., Garey, L., & Carey, M. P. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.08.001 · Cited by 250
Effects of Sesame Street: A meta-analysis of children’s learning in 15 countries
Mares, M.-L., & Pan, Z. (2013) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2013.01.001 · Cited by 245
Effects of stress on decisions under uncertainty: A meta-analysis.
Starcke, K., & Brand, M. (2016) · Psychological Bulletin · doi:10.1037/bul0000060 · Cited by 273
Öst, L., Riise, E. N., Wergeland, G., Hansen, B., & Kvale, G. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.08.003 · Cited by 220
Gradisar, M., Dohnt, H., Gardner, G., Paine, S., Starkey, K., Menne, A., Slater, A., Wright, H., Hudson, J. L., Weaver, E., et al. (2011) · SLEEP · doi:10.5665/sleep.1432 · Cited by 249
Hedman, E., Ljótsson, B., Kaldo, V., Hesser, H., El Alaoui, S., Kraepelien, M., Andersson, E., Rück, C., Svanborg, C., Andersson, G., et al. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.10.023 · Cited by 224
A Guide to Conducting a Meta-Analysis
Cheung, M. W.-L., & Vijayakumar, R. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9319-z · Cited by 239
Meta-analysis in Second Language Research: Choices and Challenges
Oswald, F. L., & Plonsky, L. (2010) · Annual Review of Applied Linguistics · doi:10.1017/s0267190510000115 · Cited by 237
The TEACCH program for children and adults with autism: A meta-analysis of intervention studies
Ortega, J. V., Julio, F., & Pastor‐Barriuso, R. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.07.005 · Cited by 278
Smith, T. E., Sheridan, S. M., Kim, E. M., Park, S., & Beretvas, S. N. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09509-w · Cited by 319
Menne-Lothmann, C., Viechtbauer, W., Höhn, P., Kasanova, Z., Haller, S. P., Drukker, M., van Os, J., Wichers, M., & Lau, J. Y. F. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100925 · Cited by 235
Garzón, J., Kinshuk, Baldiris, S., Gutiérrez, J., & Pavón, J. (2020) · Educational Research Review · doi:10.1016/j.edurev.2020.100334 · Cited by 291
Tsang, H. W. H., Leung, A. Y., Chung, R. C. K., Bell, M. D., & Cheung, W. M. (2010) · PubMed · doi:10.3109/00048671003785716 · Cited by 232
Giumetti, G. W., Hatfield, A. L., Scisco, J. L., Schroeder, A. N., Muth, E. R., & Kowalski, R. M. (2013) · Journal of Occupational Health Psychology · doi:10.1037/a0032851 · Cited by 230
Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis
Scott‐Sheldon, L. A. J., Lantini, R., Jennings, E., Thind, H. K., Rosen, R. K., Salmoirago‐Blotcher, E., & Bock, B. C. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5436 · Cited by 235
Promoting memory consolidation during sleep: A meta-analysis of targeted memory reactivation
Hu, X., Cheng, L. Y., Chiu, M. H., & Paller, K. A. (2020) · Psychological Bulletin · doi:10.1037/bul0000223 · Cited by 232
Stability and change in work values: A meta-analysis of longitudinal studies
Jin, J., & Rounds, J. (2011) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2011.10.007 · Cited by 265
Lindsay, E. K., Chin, B., Greco, C. M., Young, S., Brown, K. W., Wright, A. G. C., Smyth, J. M., Burkett, D., & Creswell, J. D. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000134 · Cited by 218
“…Cohen’s d effect sizes were calculated by dividing the pre-post mean difference in each condition by that condition’s pre-intervention SD (Morris, 2008) adjusted to account for the overall pre-post correlation for each outcome (see Equation 8 in Morris & DeShon, 2002; Wiseheart, 2013).”
Räsänen, P., Lappalainen, P., Muotka, J., Tolvanen, A., & Lappalainen, R. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.01.001 · Cited by 221
Hou, Y., Benner, A. D., Kim, S. Y., Chen, S., Siddiqi, S. S., Shi, Y., & Beretvas, S. N. (2019) · American Psychologist · doi:10.1037/amp0000463 · Cited by 229
Forgetting as a consequence of retrieval: A meta-analytic review of retrieval-induced forgetting.
Murayama, K., Miyatsu, T., Buchli, D. R., & Storm, B. C. (2014) · Psychological Bulletin · doi:10.1037/a0037505 · Cited by 229
Robbins, S. B., Oh, I., Le, H., & Button, C. (2009) · Journal of Applied Psychology · doi:10.1037/a0015738 · Cited by 236
Bryck, R. L., & Fisher, P. A. (2011) · American Psychologist · doi:10.1037/a0024657 · Cited by 245
Linking sounds to meanings: Infant statistical learning in a natural language
Hay, J. F., Pelucchi, B., Estes, K. G., & Saffran, J. R. (2011) · Cognitive Psychology · doi:10.1016/j.cogpsych.2011.06.002 · Cited by 222
Jonasson, L. S., Nyberg, L. H., Kramer, A. F., Lundquist, A., Riklund, K., & Boraxbekk, C. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00336 · Cited by 245
Dignath, C., Rimm‐Kaufman, S. E., van Ewijk, R. J. G., & Kunter, M. (2022) · Educational Psychology Review · doi:10.1007/s10648-022-09695-0 · Cited by 411
The robust reliability of neuropsychological measures: meta-analyses of test-retest correlations
Calamia, M., Markon, K., & Tranel, D. (2013) · The Clinical Neuropsychologist · doi:10.1080/13854046.2013.809795 · Cited by 207
Haselton, M. G., & Gildersleeve, K. A. (2011) · Current Directions in Psychological Science · doi:10.1177/0963721411402668 · Cited by 219
A systematic review of enhanced cognitive behavioral therapy (CBT‐E) for eating disorders
Atwood, M. E., & Friedman, A. (2019) · International Journal of Eating Disorders · doi:10.1002/eat.23206 · Cited by 224
Strength Training Improves Upper-Limb Function in Individuals With Stroke
Harris, J. E., & Eng, J. J. (2009) · Stroke · doi:10.1161/strokeaha.109.567438 · Cited by 221
The manipulation of affect: A meta-analysis of affect induction procedures.
Joseph, D. L., Chan, M. Y., Heintzelman, S. J., Tay, L., Diener, E., & Scotney, V. S. (2020) · Psychological Bulletin · doi:10.1037/bul0000224 · Cited by 251
Donnellan, M. B., Conger, R. D., & Burzette, R. G. (2007) · Journal of Personality · doi:10.1111/j.1467-6494.2007.00438.x · Cited by 237
Nye, C. D., & Drasgow, F. (2011) · Journal of Applied Psychology · doi:10.1037/a0022955 · Cited by 232
Díaz-García, A., González-Robles, A., Mor, S., Mira, A., Quero, S., García-Palacios, A., Baños, R. M., & Botella, C. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-2472-1 · Cited by 207
A meta-analysis of exercise interventions among people treated for cancer
Conn, V. S., Hafdahl, A. R., Porock, D. C., McDaniel, R. W., & Nielsen, P. J. (2006) · Supportive Care in Cancer · doi:10.1007/s00520-005-0905-5 · Cited by 209
Thompson, T., Oram, C., Correll, C. U., Tsermentseli, S., & Stubbs, B. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2016.11.009 · Cited by 202
Hatala, R. A., Cook, D. A., Zendejas, B., Hamstra, S. J., & Brydges, R. (2013) · Advances in Health Sciences Education · doi:10.1007/s10459-013-9462-8 · Cited by 221
The effect of protein timing on muscle strength and hypertrophy: a meta-analysis
Schoenfeld, B. J., Aragon, A. A., & Krieger, J. W. (2013) · Journal of the International Society of Sports Nutrition · doi:10.1186/1550-2783-10-53 · Cited by 201
The efficacy of exercise in reducing depressive symptoms among cancer survivors: a meta-analysis
Brown, J. C., Huedo-Medina, T. B., Pescatello, L. S., Ryan, S. M., Pescatello, S. M., Moker, E., LaCroix, J. M., Ferrer, R. A., & Johnson, B. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030955 · Cited by 201
Anderson, T., Crowley, M. E. J., Himawan, L. K., Holmberg, J. K., & Uhlin, B. D. (2015) · Psychotherapy Research · doi:10.1080/10503307.2015.1049671 · Cited by 203
Greater neural adaptations following high- vs. low-load resistance training
Jenkins, N. D. M., Miramonti, A. A., Hill, E. C., Smith, C. M., Cochrane-Snyman, K. C., Housh, T. J., & Cramer, J. T. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00331 · Cited by 197
Technology‐enhanced Simulation in Emergency Medicine: A Systematic Review and Meta‐Analysis
Ilgen, J. S., Sherbino, J., & Cook, D. A. (2013) · Academic Emergency Medicine · doi:10.1111/acem.12076 · Cited by 199
A Regression Framework for Effect Size Assessments in Longitudinal Modeling of Group Differences
Feingold, A. (2012) · Review of General Psychology · doi:10.1037/a0030048 · Cited by 205
Moving from cognition to behavior: What the research says.
Johnson, R. E., Chang, C.-H., & Lord, R. G. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.3.381 · Cited by 193
Scott-Sheldon, L. A. J., Carey, K. B., Elliott, J. C., Garey, L., & Carey, M. P. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0035192 · Cited by 198
Navarro-Haro, M. V., Modrego-Alarcón, M., Hoffman, H. G., López-Montoyo, A., Navarro-Gil, M., Montero-Marin, J., García-Palacios, A., Borao, L., & García-Campayo, J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00055 · Cited by 189
Technology-Enhanced Simulation and Pediatric Education: A Meta-analysis
Cheng, A., Lang, T. R., Starr, S. R., Pusic, M. V., & Cook, D. A. (2014) · PEDIATRICS · doi:10.1542/peds.2013-2139 · Cited by 197
Casement, M. D., & Swanson, L. M. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.06.002 · Cited by 192
Meta-analysis of the effects of intranasal oxytocin on interpretation and expression of emotions
Leppanen, J., Ng, K. W., Tchanturia, K., & Treasure, J. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.010 · Cited by 188
Carayol, M., Bernard, P., Boiché, J. C. S., Riou, F., Mercier, B., Cousson‐Gélie, F., Romain, A. J., Delpierre, C., & Ninot, G. (2012) · Annals of Oncology · doi:10.1093/annonc/mds342 · Cited by 189
Booth, A., Buizer, A. I., Meyns, P., Lansink, I. L. B. O., Steenbrink, F., & van der Krogt, M. M. (2018) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.13708 · Cited by 196
Byrne, J., Hauck, Y., Fisher, C., Bayes, S., & Schutze, R. (2014) · Journal of Midwifery & Women's Health · doi:10.1111/jmwh.12075 · Cited by 190
Tellegen, C. L., & Sanders, M. R. (2013) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2013.01.022 · Cited by 200
Linetzky, M., Pergamin-Hight, L., Pine, D. S., & Bar-Haim, Y. (2015) · Depression and Anxiety · doi:10.1002/da.22344 · Cited by 185
Eliciting mixed emotions: a meta-analysis comparing models, types, and measures
Berríos, R., Totterdell, P., & Kellett, S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00428 · Cited by 182
Wang, S., Jiao, H., Young, M. J., Brooks, T., & Olson, J. (2008) · Educational and Psychological Measurement · doi:10.1177/0013164407305592 · Cited by 186
Magaña, S., Lopez, K., & Machalicek, W. (2015) · Family Process · doi:10.1111/famp.12169 · Cited by 204
Extending self-regulated learning to include self-regulated emotion strategies
Ben‐Eliyahu, A., & Linnenbrink‐Garcia, L. (2012) · Motivation and Emotion · doi:10.1007/s11031-012-9332-3 · Cited by 199
Schoenfeld, B. J., Ogborn, D. I., & Krieger, J. W. (2015) · Sports Medicine · doi:10.1007/s40279-015-0304-0 · Cited by 207
Metadata
- Authors
- Morris, S. B., & DeShon, R. P.
- Affiliations
- Illinois Institute of Technology (US)
- Michigan State University (US)
- Venue
- Psychological Methods
- Published
- 2002
- Volume
- 7
- Issue
- 1
- Pages
- 105-125
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2076029586
- Semantic Scholar
- d88e7804b7df89d229fd5db7a1c567b94ff18f33
- Cited by
- 2,502
- References
- 54
- Citations by year
- 2026: 182 · 2025: 116 · 2024: 90 · 2023: 138 · 2022: 137 · 2021: 148 · 2020: 180 · 2019: 211 · 2018: 219 · 2017: 190 · 2016: 135 · 2015: 147 · 2014: 148 · 2013: 124 · 2012: 81
- FWCI
- 13.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Methods (publishedVersion)
- PubMed (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 and Bayesian Inference
- Keywords
- meta-analysis, repeated measures designs, treatment effect estimation, experimental design
- MeSH terms
- Humans, Models, Psychological, Meta-Analysis as Topic
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
