Mixed Research. Santiago Cortez CSC 426. Quantitative Designs.
PowerPoint Slideshow about ' Mixed Research' - evette
An Image/Link below is provided (as is) to download presentation
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Quantitative Research: the investigation of phenomena using statistical, mathematical, or computational techniques. In theory specific and narrow questions are posed and data is collected. This data is analyzed using statistics and hopefully provides an unbiased result that can be generalized to a large population. The researcher seeks themes and patterns that are potentially exclusive to the phenomena.
Qualitative Research is a non-statistical method of analysis and inquiry of social phenomena. It is inductive (bottom-up) and uses interviews, observations, videotapes, and case studies. It examines and interprets social and human behavior many prior to the formulation of a hypotheses. It is also known as field research and identifies why individuals and groups think and act they way they do.
Mixed Research combines both quantitative and qualitative methods in one overall study. In some types of research there is socially and statistically relevant information that must be processed in order to understand a problem. Many computer science fields such as IS, Project Management, and Disaster Recovery rely just as much on human interaction as statistical or machine performance.
Mixed Method research uses a quantitative approach for one phase and a qualitative approach for another phase. An example would be conducting an interview with participants to gather an opinion after an experiment has been conducted. One study to would determine what happens while the other determines why it happened.
Mixed Model research mixes qualitative and quantitative approaches in the same stage or across multiple stages of the research. An example of is a survey containing closed-ended (quantitative) and open-ended (qualitative) questions.
Frequently computer science research is built on algorithms, computations, machine design, and performance parameters. There are many other facets that deal with human computer interaction, change management, education, software elicitation, and project management that cannot be adequately captured using traditional quantitative computer science methodologies.
U.S. Department of Health and Human Services, Office of Behavioral and Social Sciences Research, Best Practices for Mixed Methods Research in the Health Sciences, The Nature and Design of Mixed Methods Research, Creswell, et al.,