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EREZ, A., BLOOM, M. C., & WELLS, M. T. (1996) · Personnel Psychology · doi:10.1111/j.1744-6570.1996.tb01801.x · Cited by 161
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Kumkale, G. T., Albarracín, D., & Seignourel, P. J. (2010) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2010.00620.x · Cited by 160
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Pearl, S. B., & Norton, P. J. (2017) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.07.004 · Cited by 156
Vos, J., & Vitali, D. (2018) · Palliative and Supportive Care · doi:10.1017/s1478951517000931 · Cited by 154
Carl, E., Witcraft, S. M., Kauffman, B. Y., Gillespie, E. M., Becker, E. S., Cuijpers, P., Van Ameringen, M., Smits, J. A. J., & Powers, M. B. (2020) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2018.1560358 · Cited by 151
Christensen, A., & Heavey, C. L. (1999) · Annual Review of Psychology · doi:10.1146/annurev.psych.50.1.165 · Cited by 156
Akbari, M., Seydavi, M., Hosseini, Z. S., Krafft, J., & Levin, M. E. (2022) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2022.03.007 · Cited by 155
Farahmand, F. K., Grant, K. E., Polo, A. J., Duffy, S. N., & DuBois, D. L. (2011) · Clinical Psychology Science and Practice · doi:10.1111/j.1468-2850.2011.01265.x · Cited by 154
Lee, Y.-C., Yang, H.-J., Chen, V. C.-H., Lee, W.-T., Teng, M.-J., Lin, C.-H., & Gossop, M. (2016) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2015.11.009 · Cited by 153
Shakoor, A., Arif, M. S., Shahzad, S. M., Farooq, T. H., Ashraf, F., Altaf, M. M., Ahmed, W., Tufail, M. A., & Ashraf, M. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111789 · Cited by 151
Cuijpers, P., Cristea, I. A., Karyotaki, E., Reijnders, M., & Hollon, S. D. (2019) · Psychotherapy Research · doi:10.1080/10503307.2017.1395922 · Cited by 140
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Metadata
- Authors
- Freeman, P. R., Hedges, L. V., & Olkin, I.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1986-06
- Volume
- 42
- Issue
- 2
- Pages
- 454
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2797884775
- Cited by
- 4,784
- References
- 0
- FWCI
- 72.78
- Type
- journal article
- Language
- en
- Open access
- closed
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