Using R for Multivariate Meta-analysis on Educational Psychology Data: A Method Study
Gamon Savatsomboon
,
Prasert Ruannakarn
,
Phamornpun Yurayat
,
Ong-art Chanprasitchai
,
Jibon Kumar Sharma Leihaothabam
Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However,.
- Pub. date: June 15, 2024
- Pages: 55-64
- 185 Downloads
- 784 Views
- 0 Citations
Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be very challenging for most newcomers to conduct MMA using R. If this holds, this can be viewed as a practice gap. In other words, the practice gap is that researchers are not capable of using R to conduct MMA in practice. This is problematic. This paper alleviates this practice gap by illustrating how to use R (the metaSEM package) to conduct MMA on educational psychology data. Here, the metaSEM package is used to obtain the required MMA text outputs. However, the metaSEM package is not capable of producing the other required graphical outputs. As a result, the metafor package is also used as a complimentary to generate the required graphical outputs. Ultimately, we hope that our audience will be able to apply what they learn from this method paper to conduct MMA using R in their teaching, research, and publication.
Keywords: Educational psychology data, metaSEM package, multivariate meta-analysis, R, tutorial.
0
References
Ahn, E., & Kang, H. (2018). Introduction to systematic review and meta-analysis. Korean Journal of Anesthesiology, 71(2), 103-112. https://doi.org/10.4097/kjae.2018.71.2.103
Aloe, A. M., Amo, L. C., & Shanahan, M. E. (2014). Classroom management self-efficacy and burnout: A multivariate meta-analysis. Educational Psychology Review, 26, 101-126. https://doi.org/10.1007/s10648-013-9244-0
Atizinha. (2012, March 25). File:PRISMA flow diagram.jpg. Wikipedia. https://en.m.wikipedia.org/wiki/File:PRISMA_flow_diagram.jpg
Berkey, C. S., Hoaglin, D. C., Antczak-Bouckoms, A., Mosteller, F., & Colditz, G. A. (1998). Meta-analysis of multiple outcomes by regression with random effects. Statistics in Medicine, 17(22), 2537-2550. https://bit.ly/4ax0tRC
Brown, C. G. (2012). A systematic review of the relationship between self-efficacy and burnout in teachers. Educational and Child Psychology, 29(4), 47-63. https://doi.org/10.53841/bpsecp.2012.29.4.47
Cheung, M. W.-L. (2015). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in Psychology, 5, Article 1521. https://doi.org/10.3389/fpsyg.2014.01521
Dictionary.com. (n.d.). Self-efficacy In Dictionary.com dictionary. https://bit.ly/3yxOBl8
Gasparrini, A., Armstrong, B., & Kenward, M. G. (2012). Multivariate meta‐analysis for non‐linear and other multi‐parameter associations. Statistics in Medicine, 31(29), 3821-3839. https://doi.org/10.1002/sim.5471
Harrer, M., Cuijpers, P., Furukawa, T., & Ebert, D. D. (n.d.). dmetar: Doing meta-analysis in R. dmetar. http://dmetar.protectlab.org/
Hattle, M., Burke, D. L., Trikalinos, T., Schmid, C. H., Chen, Y., Jackson, D., & Riley, R. D. (2022). Multivariate meta-analysis of multiple outcomes: Characteristics and predictors of borrowing of strength from Cochrane reviews. Systematic Reviews, 11, Article 149. https://doi.org/10.1186/s13643-022-01999-0
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Systematic Reviews, 10. Article 89. https://doi.org/10.1186/s13643-021-01626-4
R Project. (n.d.). The R project for statistical computing. https://www.R-project.org/
Savas, A. C., Bozgeyik, Y., & Eser, I. (2014). A study on the relationship between teacher self efficacy and burnout. European Journal of Educational Research, 3(4), 159-166. https://doi.org/10.12973/eu-jer.3.4.159
Savatsomboon, G., Yurayat, P., Chanprasitchai, O., Narkbunnum, W., Sharma, J. K., & Svetsomboon, S. (2024). A proposed categorization of meta-analysis, their respective example conceptual frameworks, and applicable R packages for education research: A review. Journal of Practical Studies in Education, 5(3), 1-7. https://doi.org/10.46809/jpse.v5i3.83
Schiavenato, M., & Chu, F. (2021). PICO: What it is and what it is not. Nurse Education in Practice, 56, 103194. https://doi.org/10.1016/j.nepr.2021.103194
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), Article 1686. https://doi.org/10.21105/joss.01686