References to Meta-Essentials

Meta-Essentials is used

  • Aboodarda, Page, and Behm (2016) use Meta-Essentials to analyze potential publication bias and to generate a funnel plot.
  • Boot, Nevicka, and Baas (2017) use Meta-Essentials to derive meta-analytic results of three studies they conducted (i.e., single paper meta-analysis).
  • Burmester, Leathem, and Merrick (2016) use Meta-Essentials to conduct a meta-analysis and publication bias analysis, and generate forest and funnel plots.
  • Dickinson, Becerra, and Coombes (2017) use Meta-Essentials to conduct a total of 18 meta-analyses.
  • Graziani, Gennai, Lillo, and Petrini (2017) use Meta-Essentials to derive (standardized) effect sizes incl. confidence intervals and to conduct a meta-analysis.
  • Jones, Dickter, Beard, Perales, and Bungle (2016) use Meta-Essentials to analyze potential publication bias.
  • Moery and Calin-Jageman (2016) use Meta-Essentials to calculate confidence intervals of effect sizes and to conduct a meta-analysis.
  • Molenmaker (2017) uses Meta-Essentials to derive (standardized) effect sizes incl. confidence intervals and to conduct two meta-analyses.
  • Mummareddy et al. (2017) use Meta-Essentials to conduct a meta-analysis and generate forest plots.
  • Richardson, McEwan, Maratos, and Sheffield (2016) use Meta-Essentials to derive effect sizes, conduct a meta-analysis and publication bias analysis, and generate forest and funnel plots.
  • Schreglmann, Krauss, Chang, Bhatia, and Kaegi  (2017) record in their research protocol the use of Meta-Essentials to derive (standardized) effect sizes incl. confidence intervals, conduct a meta-analysis, and generate a forest plot.
  • Sridharan and Sivaramakrishnan (2017) use Meta-Essentials to analyze potential publication bias and to generate a funnel plot.
  • Van Halewijn et al. (2017) use Meta-Essentials to analyze potential publication bias.
  • Vuong et al. (2017a) use Meta-Essentials to analyze potential publication-bias.
  • Vuong et al. (2017b) use Meta-Essentials to analyze potential publication-bias and generate a funnel plot.
  • Wermelinger Ávila, Lucchetti, and Lucchetti (2017) use Meta-Essentials to conduct a meta-analysis and generate a forest plot.

Meta-Essentials is recommended

  • Cumming and Calin-Jageman (2017) claim that "you may find Meta-Essentials ... most useful: It's a free, accessible Excel-based package that goes well beyond ESCI [Exploratory Software for Confidence Intervals]" (p. 250).

Other references to Meta-Essentials

  • Urlaub and Grün (2016) use our text in which we discuss the methodology applied in Meta-Essentials for meta-analysis of dichotomous data to explain how they treated odds ratios and risk ratios in their meta-analysis.

Please contact us for suggestions or additions to this list.

You can cite Meta-Essentials as follows:

Van Rhee, H.J., Suurmond, R., & Hak, T. (2015). User manual for Meta-Essentials: Workbooks for meta-analysis (Version 1.0) Rotterdam, The Netherlands: Erasmus Research Institute of Management. Retrieved from www.erim.eur.nl/research-support/meta-essentials

References

Aboodarda, S. J., Page, P. A., & Behm, D. G. (2016). Muscle activation comparisons between elastic and isoinertial resistance: A meta-analysis. Clinical Biomechanics, 39, 52–61. doi.org/10.1016/j.clinbiomech.2016.09.008

Boot, N., Nevicka, B., & Baas, M. (2017). Subclinical symptoms of attention-deficit/hyperactivity disorder (ADHD) are associated with specific creative processes. Personality and Individual Differences, 114, 73–81. doi.org/10.1016/j.paid.2017.03.050

Burmester, B., Leathem, J., & Merrick, P. (2016). Subjective cognitive complaints and objective cognitive function in aging: A systematic review and meta-analysis of recent cross-sectional findings. Neuropsychology Review, 26(4), 376–393. doi.org/10.1007/s11065-016-9332-2

Cumming, G., & Calin-Jageman, R. J. (2017). Introduction to the new statistics: Estimation, open science, and Beyond. New York, NY: Routledge Taylor & Francis.

Dickinson, T., Becerra, R., & Coombes, J. (2017). Executive functioning deficits among adults with bipolar disorder (types I and II): A systematic review and meta-analysis. Journal of Affective Disorders. doi.org/10.1016/j.jad.2017.04.010

Graziani, F., Gennai, S., Lillo, L., & Petrini, M. (2017). A systematic review and meta-analysis of epidemiologic observational evidence on glycaemic control and risk of developing diabetes in healthy patients. In 18th International Congress SIdP. Rimini, Italy: Italian Society of Periodontology and Implantology. Retrieved from www.sidp.it/media/taxml2d.pdf

Jones, M. K., Dickter, B., Beard, C., Perales, R., & Bunge, E. L. (2016). Meta-analysis on cognitive behavioral treatment and behavioral intervention technologies for anxious youth: More than a BIT effective. Contemporary Behavioral Health Care, 1(2), 1–9. doi.org/10.15761/CBHC.1000115

Moery, E., & Calin-Jageman, R. J. (2016). Direct and conceptual replications of Eskine (2013): Organic food exposure has little to no effect on moral judgments and prosocial behavior. Social Psychological and Personality Science, 7(4), 312–319. doi.org/10.1177/1948550616639649

Molenmaker, W. E. (2017). The (un)willingness to reward cooperation and punish non-cooperation. Leiden University. Retrieved from openaccess.leidenuniv.nl/handle/1887/45536

Mummareddy, N., Dewan, M. C., Mercier, M. R., Naftel, R. P., Wellons, J. C., & Bonfield, C. M. (2017). Scoliosis in myelomeningocele: Epidemiology, management, and functional outcome. Journal of Neurosurgery: Pediatrics. doi.org/10.3171/2017.2.PEDS16641

Richardson, M., McEwan, K., Maratos, F., & Sheffield, D. (2016). Joy and calm: How an evolutionary functional model of affect regulation informs positive emotions in nature. Evolutionary Psychological Science, 2(4), 308–320. doi.org/10.1007/s40806-016-0065-5

Schreglmann, S. R., Krauss, J. K., Chang, J. W., Bhatia, K. P., & Kaegi, G. (2017). Functional lesional neurosurgery for tremor: A protocol for a systematic review and meta-analysis. BMJ Open, 7(5). doi.org/10.1136/bmjopen-2016-015409

Sridharan, K., & Sivaramakrishnan, G. (2017). Tranexamic acid in total hip arthroplasty: A recursive cumulative meta-analysis of randomized controlled trials and assessment of publication bias. Journal of Orthopaedics, 14(3), 323–328. doi.org/10.1016/j.jor.2017.05.004

Urlaub, S., & Grün, G. (2016). Mould and dampness in European homes and their impact on health. Stuttgart, Germany: Fraunhofer-Institut für Bauphysik IBP. Retrieved from www.ibp.fraunhofer.de/content/dam/ibp/de/documents/Presseinformationen/16112016_PM_Literaturstudie_Schimmel/Mould and dampness in European homes and their.pdf

Van Halewijn, G., Deckers, J., Tay, H. Y., Van Domburg, R., Kotseva, K., & Wood, D. (2017). Lessons from contemporary trials of cardiovascular prevention and rehabilitation: A systematic review and meta-analysis. International Journal of Cardiology, 232, 294–303. doi.org/10.1016/j.ijcard.2016.12.125

Vuong, H. G., Altibi, A. M. A., Duong, U. N. P., Ngo, H. T. T., Pham, T. Q., Fung, K.-M., & Hassell, L. (2017a). BRAF Mutation is Associated with an Improved Survival in Glioma—a Systematic Review and Meta-analysis. Molecular Neurobiology. doi.org/10.1007/s12035-017-0599-y

Vuong, H. G., Duong, U. N. P., Altibi, A. M. A., Ngo, H. T. T., Pham, T. Q., Tran, H. M., … Hassell, L. (2017b). A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma. Endocrine Connections. doi.org/10.1530/EC-17-0010

Wermelinger Ávila, M. P., Lucchetti, A. L. G., & Lucchetti, G. (2017). Association between depression and resilience in older adults: A systematic review and meta-analysis. International Journal of Geriatric Psychiatry, 32(3), 237–246. doi.org/10.1002/gps.4619