DASAR-DASAR META-ANALISIS DALAM PENELITIAN ILMU SOSIAL
Kata Kunci:
Dasar-Dasar Meta-Analisis, Penelitian Ilmu SosialSinopsis
Buku “Dasar-Dasar Meta-Analisis dalam Penelitian Ilmu Sosial” merupakan panduan komprehensif dan aplikatif bagi siapa saja yang ingin memahami serta menerapkan metode meta-analisis dalam ranah penelitian ilmu sosial. Meta-analisis, sebagai pendekatan kuantitatif untuk mensintesis hasil-hasil penelitian sebelumnya, kini menjadi salah satu metode yang semakin banyak digunakan untuk menghasilkan kesimpulan yang lebih kuat, obyektif, dan berbasis bukti.
Dalam buku ini, pembaca akan diajak memahami konsep dasar meta-analisis, tahapan-tahapan penting dalam pelaksanaannya, serta teknik-teknik statistik yang relevan, seperti pengukuran efek (effect size), uji heterogenitas, dan analisis moderator. Selain itu, buku ini juga membahas bagaimana memilih dan mengevaluasi literatur secara sistematis, serta bagaimana menyajikan hasil meta-analisis dalam format yang sesuai dengan standar akademik.
Disusun secara sistematis dan dilengkapi dengan contoh-contoh praktis, buku ini ditujukan bagi mahasiswa, dosen, peneliti, dan siapa pun yang tertarik mendalami metode sintesis penelitian kuantitatif dalam bidang sosiologi, psikologi, pendidikan, komunikasi, dan cabang ilmu sosial lainnya. Dengan pendekatan yang mudah dipahami namun tetap menjaga kedalaman akademis, buku ini diharapkan menjadi referensi penting dalam mendukung praktik penelitian yang lebih kuat dan terpercaya di era informasi saat ini.
Bab
-
KATA PENGANTAR
-
DAFTAR ISI
-
META-ANALISIS PENELITIAN SOSIAL
-
DAFTAR PUSTAKA
-
PROFIL PENULIS
Downloads
Referensi
Alumbaugh, K. M. (2015). The perceptions of elementary STEM schools in Missouri (Unpublished doctoral dissertation). Lindenwood University, Saint Charles, Missouri.
American Psychological Association (APA) Style Guide 7th edition (version 22 May 2021). (2021). file:///D:/2_REVIWER %202020/APA%20Style%20Guide%20(7th%20ed.).pdf
Ashford, V. D. (2016). STEM after school programming: The effect on student achievement and attitude (Unpublished doctoral dissertation). Wingate University, Charlotte, NC.
Becker, K., & Park, K. (2011). Effects of integrative approaches among science, technology, engineering, and mathematics (STEM) subjects on students’ learning: A preliminary meta-analysis. Journal of STEM Education, 12(5), 23-38. https://doi.org/10.1037/a0019454
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. (2005). Comprehensive meta-analysis version 3. Biostat.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to metaanalysis. Wiley.
Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education. Routledge.
Cumming, G. (2012). Understanding the new statistics effect sizes, confidence intervals, and meta-analysis. Taylor & Francis Group, LLC.
DeBiase, K. (2016). Teacher preparation in science, technology, engineering, and mathematics instruction (Unpublished doctoral dissertation). California State University, Los Angeles.
DeLuca, J. B., Mullins, M. M., Lyles, C. M., Crepaz, N., Kay, L., & Thadiparthi, S. (2008). Developing a comprehensive search strategy for evidence based systematic reviews. Evidence Based Library and Information Practice, 3, 3–32. https://doi.org/10.18438/B8KP66
Devine, E. C. (1997). Issues and challenges in coding interventions for meta-analysis of prevention research. Meta-analysis of drug abuse, 130-146.
Durlak, J. A. (1995). Reading and understanding multivariate statistics. American Psychological Association.
Ecker, E. D., & Skelly, A. C. (2010). Conducting a winning literature search. Evidence-Based Spine-Care Journal, 1(01), 9–14. https://doi.org/10.1055/s-0028-1100887
Finfgeld-Connett, D., & Johnson, E. D. (2013). Literature search strategies for conducting knowledge-building and theory-generating qualitative systematic reviews. Journal of Advanced Nursing, 69(1), 194–204. https://doi.org/ 10.1111/j.1365-2648.2012.06037.x
Fontes, I., & Menegon, L. F. (2021). The competences of the editor-in-chief of a scientific journal: Gaps and trends. Revista de Gestão, 199-213.
Ganann, R., Ciliska, D., and Thomas, H. (2010). Expediting systematic reviews: Methods and implications of rapid reviews. Implementation Science, 5, 56–56. https://doi.org/10.1186/1748-5908-5-56
Glavich, C. (2016). Growing strong STEMs reflections of a beginning teacher’s preservice program. Issues in Teacher Education, 25(2), 89-102.
Glonti, K., Boutron, I., Moher, D., & Hren, D. (2019). Journal editors’ perspectives on the roles and tasks of peer reviewers in biomedical journals: A qualitative study. BMJ open, 9(11), e033421.
Guzey, S. S., Harwell, M., Moreno, M., Peralta, Y., & Moore, T. J. (2016). The impact of design-based STEM integration curricula on student achievement in engineering, science, and mathematics. Journal of Science Education and Technology, 26(2), 207-222. https://doi.org/10.1007/ s10956-016-9673-x
Haby, M. M., Chapman, E., Clark, R., Barreto, J., Reveiz, L., & Lavis, J. N. (2016). What are the best methodologies for rapid reviews of the research evidence for evidence-informed decision making in health policy and practice: A rapid review. Health Research Policy and Systems, 14(1), 1-12. https://doi.org/10.1186/s12961-016- 0155-7
Han, S., Rosli, R., Capraro, M. M., & Capraro, R. M. (2016). The effect of science, technology, engineering and mathematics (STEM) project based learning (PBL) on students’ achievement in four mathematics topics. Journal of Turkish Science Education, 13, 3-29. https://doi.org/10.12973/ tused.10168a
Hansen, M., & Gonzalez, T. (2014). Investigating the relationship between STEM learning principles and student achievement in math and science. American Journal of Education, 120(2), 139-171. https://doi.org/10.1086/ 674376
Harper, S. R. (2010). An anti-deficit achievement framework for research on students of color in STEM. New Directions for Institutional Research, 2010(148), 63-74. https://doi.org/10.1002/ir.362
Havránek, T., Stanley, T. D., Doucouliagos, H., Bom, P., Geyer‐Klingeberg, J., Iwasaki, I., ... & van Aert, R. C. (2020). Reporting guidelines for meta‐analysis in economics. Journal of Economic Surveys, 34(3), 469-475.
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press.
Higgins, J. P. T., & Green, S. (2006). Cochrane handbook for systematic reviews of interventions. John Wiley & Sons.
Hutton, B., Catala-Lopez, F., & Moher, D. (2016). The PRISMA statement extension for systematic reviews incorporating network meta-analysis: PRISMA-NMA. Medicina Clínica (English Edition), 147(6), 262-266.
Ing, M. (2013). Gender differences in the influence of early perceived parental support on student mathematics and science achievement and STEM career attainment. International Journal of Science & Mathematics Education, 12(5), 1221-1239. https://doi.org/10.1007/s10763-013-9447-3
Ing, M. (2014). Can parents influence children’s mathematics achievement and persistence in STEM careers. Journal of Career Development, 41(2), 87-103. https://doi.org/ 10.1177/0894845313481672
James, J. S. (2014). Science, technology, engineering, and mathematics (STEM) curriculum and seventh grade mathematics and science achievement (Unpublished doctoral dissertation). Grand Canyon University, Phoenix, Arizona.
Judson, E. (2014). Effects of transferring to STEM-focused charter and magnet schools on student achievement. The Journal of Educational Research, 107(4), 255-266. https://doi.org/1 0.1080/00220671.2013.823367
Karadag, E. (2015). Leadership and organizational outcomes meta-analysis of empirical studies. Springer International Publishing Switzerland.
Kraker, P., Kittel, C., & Enkhbayar, A. (2016). Open knowledge maps: Creating a visual interface to the world’s scientific knowledge based on natural language processing. 027.7 Zeitschrift für Bibliothekskultur, 4(2), 98-103.
Kutch, M. (2011). Integrating science and mathematics instruction in a middle school STEM course: The impact on attitudes, career aspirations and academic achievement in science and mathematics (Unpublished doctoral dissertation). Wilmington University, DE.
Lau, J. C. H., Schmid, & T. C. Chalmers. (1995). Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care. Journal of Clinical Epidemiology, 48, 45–57.
Leuwerke, W. C., Robbins, S., Sawyer, R., & Hovland, M. (2004). Predicting engineering major status from mathematics achievement and interest congruence. Journal of Career Assessment, 12(2), 135-149. https://doi.org/10.1177 /1069072703257756
Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Sage Publications, Inc.
Littel, H. J., Corcoran, J., & Pillai, V. (2008). Systematic reviews and meta-analysis. Oxford University Press.
Marcus, G. E., & Fischer, M. M. (2014). Anthropology as cultural critique: An experimental moment in the human sciences. University of Chicago press.
McCaslin, S. D. (2015). The influence of stem initiative programs for middle and high school students on female STEM college majors (Unpublished doctoral dissertation). Capella University, Minnesota, US.
McGowan, J., & Sampson, M. (2005). Systematic reviews need systematic searchers. Journal of the Medical Library Association, 93(1), 74–80.
Melguizo, T., & Wolniak, G. C. (2011). The earnings benefits of majoring in STEM fields among high achieving minority students. Research in Higher Education, 53(4), 383-405. https://doi.org/10.1007/s11162-011-9238-z
Mikolajewicz, N. & Komarova, S. V. (2019). Meta-analytic methodology for basic research: A practical guide. Frontiers in Physiology, 10(203), 1-20. https://doi.org/ 10.3389/ fphys.2019.00203
Moher, D., Stewart, L., & Shekelle, P. (2016). Implementing PRISMA-P: recommendations for prospective authors. Systematic reviews, 5, 1-2.
Nasarudin, A, Halim, L., & Zakaria, E. (2014). VStops: A thinking strategy and visual representation approach in mathematical word problem solving toward enhancing STEM literacy. Eurasia Journal of Mathematics, Science & Technology Education, 10(3), 165-174. https://doi.org/ 10.12973/eurasia.2014. 1073a
Nurlia, N., Suar, A., Bastian, A., & Santosa, T. A. (2023). Kajian Meta-Analisis: Pengaruh Kebijakan Fiskal Terhadap Ekonomi Makro Di Indonesia. Innovative: Journal Of Social Science Research, 3(4), 4358-4366.
Olivarez, N. (2012). The impact of a STEM program on academic achievement of eighth grade students in a south Texas middle school (Unpublished doctoral dissertation). Texas A&M University, Corpus Christi, Texas.
Open Knowledge Maps (2019). Open Knowledge Maps: A Visual Interface to the World's Scientific Knowledge. https://openknowledgemaps.org
Petersen, A. M. (2014). Females and STEM: Determining the K-12 experiences that influenced women to pursue STEM fields (Unpublished doctoral dissertation). The College of William and Mary, Williamsburg, Virginia.
Pigott, T. D., & Polanin, J. R. (2020). Methodological guidance paper: High-quality meta-analysis in a systematic review. Review of Educational Research, 90(1), 24-46.
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of documentation, 25, 348.
Richardson, S. S. (2016). The effect of an integrated STEM course on middle school students’ interest and career aspirations in STEM Fields (Unpublished doctoral dissertation). The University of Kansas, Lawrence, Kansas.
Robinson, A., Dailey, D., Hughes, G., & Cotabish, A. (2014). The effects of a science-focused STEM intervention on gifted elementary students’ science knowledge and skills. Journal of Advanced Academics, 25(3), 189-213. https:// doi.org/10.1177/1932202X14533799
Röver, C., Knapp, G., & Friede, T. (2015). Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC medical research methodology, 15, 1-7.
Scopus. https://www.scopus.com/
Shepherd, A. A. W. (2016). The effect of middle school STEM curriculum on science and math achievement (Unpublished doctoral dissertation). Union University, Tennessee, US.
Siregar, N. C., Rosli, R., Maat, S. M., & Capraro, M. M. (2019). The effect of science, technology, engineering and mathematics (STEM) program on students’ achievement in mathematics: A meta-analysis. International Electronic Journal of Mathematics Education, 15(1), em0549.
Thomas, M. E. (2013). The effects of an integrated S.T.E.M. curriculum in fourth grade students’ mathematics achievement and attitudes (Unpublished doctoral dissertation). Trevecca Nazarene University, Tennessee, US.
Tolliver, E. R. (2016). The effects of science, technology, engineering and mathematics (STEM) education on elementary student achievement in urban schools (Unpublished doctoral dissertation). Grand Canyon University, Arizona, US.
Uttal, D. H., Miller, D. I., & Newcombe, N. S. (2013). Exploring and enhancing spatial thinking: Links to achievement in science, technology, engineering, and mathematics?. Current Directions in Psychological Science, 22(5), 367-373. https://doi.org/10.1177/0963721413484756
van Eck N. J., Waltman L. (2023). VOSviewer: A Computer Program for Bibliometric Mapping. https://www.vosviewer.com/
Viechtbauer, W. O. L. F. G. A. N. G. (2008). Analysis of moderator effects in meta-analysis. Best practices in quantitative methods, 471-487.
Walker, L. H., & Sherman, H. J. (2017). Common core and STEM opportunities. The Mathematics Enthusiast, 14(1-3), 413-434.
