The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Meta-analysis: integrating accumulated knowledge
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Cites
A basic introduction to fixed-effect and random-effects models for meta-analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.12 · Cited by 6,793
Primary, Secondary, and Meta-Analysis of Research
GLASS, G. V. (1976) · Educational Researcher · doi:10.3102/0013189x005010003 · Cited by 4,890
Meta-Analytic Procedures for Social Research
Rosenthal, R. (1991) · doi:10.4135/9781412984997 · Cited by 4,635
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988) · Journal of Consumer Research · doi:10.1086/209170 · Cited by 3,867
Hunter, J., & Schmidt, F. (2004) · doi:10.4135/9781412985031 · Cited by 3,023
Kirca, A. H., Jayachandran, S., & Bearden, W. O. (2005) · Journal of Marketing · doi:10.1509/jmkg.69.2.24.60761 · Cited by 2,182
A Fail-Safe N for Effect Size in Meta-Analysis
Orwin, R. G. (1983) · Journal of Educational Statistics · doi:10.2307/1164923 · Cited by 2,064 · cited 1×
“Orwin fail safe N procedure The Orwin Fail Safe N procedure identifys how many missing effects are needed to bring the overall effect size to a specific non-zero value (Orwin 1983).”
MethodCustomer Satisfaction: A Meta-Analysis of the Empirical Evidence
Szymanski, D. M., & Henard, D. H. (2001) · Journal of the Academy of Marketing Science · doi:10.1177/0092070301291002 · Cited by 2,002
Basics of meta‐analysis: I 2 is not an absolute measure of heterogeneity
Borenstein, M., Higgins, J. P. T., Hedges, L. V., & Rothstein, H. R. (2017) · Research Synthesis Methods · doi:10.1002/jrsm.1230 · Cited by 1,848 · cited 1×
“The prediction interval addresses the extent of dispersion, by revealing the expected range of estimated effects (formulas for computing this interval are available from Borenstein et al. 2017).”
BackgroundMeta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews
Rosenthal, R., & DiMatteo, M. R. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.59 · Cited by 1,780
Cited by
Mende, M., Scott, M. L., van Doorn, J., Grewal, D., & Shanks, I. (2019) · Journal of Marketing Research · doi:10.1177/0022243718822827 · Cited by 1,197
Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00762-y · Cited by 1,194
Customer engagement in social media: a framework and meta-analysis
de Oliveira Santini, F., Ladeira, W. J., Pinto, D. C., Herter, M. M., Sampaio, C. H., & Babin, B. J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00731-5 · Cited by 523
Bouncken, R. B., Kraus, S., & Roig-Tierno, N. (2021) · Review of Managerial Science · doi:10.1007/s11846-019-00366-z · Cited by 396
Klarin, A. (2024) · International Journal of Consumer Studies · doi:10.1111/ijcs.13031 · Cited by 292
Metadata
- Authors
- Grewal, D., Puccinelli, N., & Monroe, K. B.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2017-11-07
- Volume
- 46
- Issue
- 1
- Pages
- 9-30
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2767584250
- Cited by
- 227
- References
- 23
- FWCI
- 12.04
- Type
- journal article
- Language
- en
- Open access
- green
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- Grewal, D., Puccinelli, N., & Monroe, K. B. (2018). Meta-analysis: integrating accumulated knowledge. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-017-0570-5
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
