In undertaking a quantitative research study, a researcher seeks to highlight the relationship between two variables, i.e. a dependent and an independent variable. The four kinds of quantitative research designs, according to Burns and Grove (2010), are “descriptive, correlational, quasi-experimental, experimental” designs (p. 34).
Grant, J.S., Weaver, M., Elliott, T.R., Bartolucci, A.A. & Giger, J.N. (2004). Family Caregivers of Stroke Survivors: Characteristics of Caregivers at Risk for Depression. Rehabilitation Psychology, 49(2), 172-179.
The authors in this article make use of a correlational research design. Correlational research, in the words of Burns and Grove (2010), “involves the systematic investigation of relationships between or among variables” (p. 35). In this case, the authors of this particular article make use of statistical analyses to highlight various predictors of stroke survivors’ family caregiver depression risk. In essence, the research piece is largely observational as far as the collection of data is concerned as it does not aim to identify cause and effect. In my opinion, the research design the authors adopt is appropriate for a research of this nature, especially given that the researchers set about to highlight the most valid factors predicting the status of ‘at-risk’ against a backdrop of other predictor factors...
References
Burns, N. & Grove, S.K. (2010). Understanding Nursing Research: Building an Evidence-Based Practice (5th ed.). Maryland Heights, MO: Elsevier Health Sciences
Taylor, B.J. (2006). Research in Nursing and Health Care: Evidence for Practice (3rd ed.). Belmont, CA: Cengage Learning
Weil, J. (2017). Research Design in Aging and Social Gerontology: Quantitative, Qualitative, and Mixed Methods. New York, NY: Taylor and Francis.
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