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Research Design Overview

The selection of an appropriate design serves as the foundation for any research project. The quality of a research design will convey the transparency and truthfulness of the eventual results. Statisticians with a high level of technical skills and professional skepticism can anticipate challenges to a given project’s research design and render improvements to satisfy potential skeptics.

Quantitative research is all about quantifying relationships between variables. Variables can come in a variety of different forms and include the following: weight, performance, time, and treatment. Variables are often tested on a sample of subjects, which can be tissues, cells, animals, or humans. The designs used to quantify relationships are descriptive, quasi-experimental, and experimental.

These various designs differ in whether they seek to show causality (i.e. school achievement is caused by parents’ income levels). Researchers must determine whether they are attempting to ‘prove’ or ‘explore’ some phenomenon. Experimental and quasi-experimental studies are typically used to show causality. They are tested over time and include the elements to prove cause and effect. Descriptive studies are not used to show causality, but aim to explore some phenomenon or lay the groundwork for future research.

StatsBusters approach to Research Designs addresses the most appropriate design for your research needs. A multidisciplinary approach means our statistics consultants can develop Research Designs in fields such as psychology, business, sociology, political science, biology, anthropology, education, and many others.

StatsBusters believes ethics are the most important part of conducting research. Our consultants always strive to meet or exceed ethics standards that have been adopted by the American Psychological Association and British Psychological Society. StatsBusters consultants know that the success of our company depends on promoting honest and transparent research.


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