TRACK -3 STUDIES ON DIABETES 10TH UCG EDITION ON DIABETES & ENDOCRINOLOGY CONFERENCE DECEMBER 21–22, 2022 | DUBAI, UAE

10TH UCG EDITION ON DIABETES & ENDOCRINOLOGY CONFERENCE DECEMBER 21–22, 2022 | DUBAI, UAE

Case studies on diabetes

There are various definitions of case studies, which may emphasise the number of observations a small N, the method qualitative, the depth of the research a thorough examination of a phenomenon and its context, and the naturalism a “real-life context” is being investigated involved in the research. Scholars generally agree that a case study does not have to include a single observation, but can include many observations within a single case or across multiple cases. A case study of the French Revolution, for example, would be a comparison of two observations: France before and after the revolution. According to John Gering, the research design is so uncommon in practise that it has become a “myth.”

The term cross-case research refers to studies of multiple cases, whereas within-case research refers to a single case study. John Gering defines the case study approach as “an intensive study of a single unit or a small number of units the cases for the purpose of understanding a larger class of similar units” a population of cases.” Case studies, according to Gering, lend themselves to idiographic analysis, whereas quantitative work lends itself to a nomothetic style of analysis.

He continues, “the distinguishing feature of qualitative work is the absence of comparable observations-observations that pertain to different aspects of a causal or descriptive question,” whereas quantitative observations are. Case studies are distinguished by their “reliance on evidence drawn from a single case and its attempts, at the same time, to illuminate features of a broader set of cases,” according to John Gering. Academics use case studies to shed light on a “class” of phenomena.

10TH UCG EDITION ON DIABETES & ENDOCRINOLOGY EVENT DECEMBER 21–22, 2022 | DUBAI, UAE

Case selection and structure

In case study research, case selection is generally intended to find cases that are both a representative sample and have variations on the dimensions of theoretical interest. Using only representative data, such as an average or typical case, is not always the most informative. Selecting subjects that offer an interesting, unusual, or particularly revealing set of circumstances is more useful in clarifying lines of history and causation. A case selection based on representativeness is unlikely to yield these kinds of insights.

While random case selection is a valid case selection strategy in large-N research, scholars agree that it risks introducing serious biases in small-N research.

We cordially invite you to the 10th UCG Edition on Diabetes and Endocrinology Conference set up during December 21–22, 2022 in Dubai, UAE. The theme of the conference is “Deliberate the important research & ongoing practices to reduce Diabetes”. Diabetes conferences includes Keynote lectures and workshops. Meet the experts from all over the world to discuss various sessions on connecting, interacting and transforming the innovations in Diabetes and Endocrinology and to promote international collaboration in clinical and research practice. Delegates, poster sessions are from all around the world to present this exciting program.

10TH UCG EDITION ON DIABETES & ENDOCRINOLOGY EXPO DECEMBER 21–22, 2022 | DUBAI, UAE

Uses

Case studies are widely regarded as a fruitful method for developing hypotheses and theories. Case studies can help you understand outliers and deviant cases. Darwin’s theory of evolution derived from his travels to Easter Island, and Douglass North’s theories of economic development derived from case studies of early developing states such as England, are two classic examples of case studies that generated theories.