Abstract
Quantitative research is the foundation for evidence-based global health practice and interventions. Preparing health research starts with a clear research question to initiate the study, careful planning using sound methodology as well as the development and management of the capacity and resources to complete the whole research cycle. Good planning will also ensure valid research outcomes. Quantitative research emphasizes a clear target population, proper sampling techniques, adequate sample size, detailed planning for data collection, and proper statistical analysis. This chapter provides an overview of quantitative research methods, explains relevant study designs, and presents considerations on all aspect of the research cycle along four phases: initiation, planning, data collection, and reporting phase.
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References
Bourque LB, Clark VA (1992) Quantitative applications in the social sciences: processing data. Hist Soc Res. https://doi.org/10.4135/9781412985499
Ford I, Blauw GJ, Murphy MB, Shepherd J, Cobbe SM, Bollen ELEM et al (2002) A prospective study of pravastatin in the elderly at risk (PROSPER): screening experience and baseline characteristics. Curr Control Trials Cardiovasc Med 3(1):8–8. https://doi.org/10.1186/1468-6708-3-8
Fricker R (2017) Sampling methods for online surveys. In: The SAGE handbook of online research methods, pp 162–183. https://doi.org/10.4135/9781473957992
Hennessy S, Bilker WB, Berlin JA, Strom BL (1999) Factors influencing the optimal control-to-case ratio in matched case-control studies. Am J Epidemiol 149(2):195–197
Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (2019) Cochrane handbook for systematic reviews of interventions. Wiley, Hoboken
Hill AB (1965) The environment and disease: association or causation? Proc R Soc Med 58(5):295–300. Retrieved from https://pubmed.ncbi.nlm.nih.gov/14283879. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1898525/
Hu FB, Willett WC, Manson JE, Colditz GA, Rimm EB, Speizer FE et al (2000) Snoring and risk of cardiovascular disease in women. J Am Coll Cardiol 35(2):308–313. https://doi.org/10.1016/S0735-1097(99)00540-9
Koplan JP, Bond TC, Merson MH, Reddy KS, Rodriguez MH, Sewankambo NK, Wasserheit JN (2009) Towards a common definition of global health. Lancet 373(9679):1993–1995. https://doi.org/10.1016/s0140-6736(09)60332-9
Luk JW, Wang J, Simons-Morton BG (2010) Bullying victimisation and substance use among U.S. adolescents: mediation by depression. Prev Sci: The Off J Soc Prev Res 11(4):355–359. https://doi.org/10.1007/s11121-010-0179-0
O’Donnell MJ, Chin SL, Rangarajan S, Xavier D, Liu L, Zhang H et al (2016) Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet 388(10046):761–775. https://doi.org/10.1016/s0140-6736(16)30506-2
Palipudi KM, Morton J, Hsia J, Andes L, Asma S, Talley B et al (2016) Methodology of the global adult tobacco survey – 2008–2010. Global Heal Prom 23(2_suppl):3–23. https://doi.org/10.1177/1757975913499800
Preece DA (1987) Good statistical practice. J Roy Stat Soc Ser D (The Statistician) 36(4):397–408. https://doi.org/10.2307/2348838
Sajedinejad S, Majdzadeh R, Vedadhir A, Tabatabaei MG, Mohammad K (2015) Maternal mortality: a cross-sectional study in global health. Glob Health 11:4. https://doi.org/10.1186/s12992-015-0087-y
Scandinavian Simvastatin Survival Study, G (1994) Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S). Lancet 344(8934):1383–1389. https://doi.org/10.1016/S0140-6736(94)90566-5
Shepherd J, Blauw GJ, Murphy MB, Bollen EL, Buckley BM, Cobbe SM et al (2002) Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet 360(9346):1623–1630. https://doi.org/10.1016/s0140-6736(02)11600-x
Souza JP, Betran AP, Dumont A, de Mucio B, Gibbs Pickens CM, Deneux-Tharaux C et al (2016) A global reference for caesarean section rates (C-Model): a multicountry cross-sectional study. BJOG 123(3):427–436. https://doi.org/10.1111/1471-0528.13509
Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A et al (2016) The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3(1):1–9
Worthington R (2016) Best practices for designing data collection forms. Retrieved from http://www.kwantu.net/blog/2016/12/26/best-practices-for-designing-data-collection-forms
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Ab Rahman, J. (2021). Quantitative Methods in Global Health Research. In: Kickbusch, I., Ganten, D., Moeti, M. (eds) Handbook of Global Health. Springer, Cham. https://doi.org/10.1007/978-3-030-45009-0_9
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DOI: https://doi.org/10.1007/978-3-030-45009-0_9
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