Education Commons^™

Value Added By Using Joint Displays In Mixed Methods Research, Elizabeth Svoboda

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Mixed methods research collects, analyzes, and integrates rigorous qualitative and quantitative methods to gain a deeper understanding of a phenomenon than would be gained by using either method alone. Integration is one of the key features of mixed methods research and consists of mixing qualitative and quantitative research in a systematic way to generate new inferences or follow-up studies. However, the process of integration can be challenging to draw on expertise in both qualitative and quantitative methods, decide when and how to integrate qualitative and quantitative research, and combine multiple data sources in a coherent way to generate new inferences. …

Practical Recommendations For Mixed Methods Sampling In Psychological Intervention Research: A Mixed Methods Case Study, Analay Perez

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Sampling is integral to the research process and, if not appropriately addressed, can affect the meta-inferences of the mixed methods study. Sampling is also closely related to recruitment, retention, and additional methodological components. Sampling issues are magnified in social and health sciences intervention research due to the temporal placement of data collection and analysis. Limited research has examined sampling based on researchers’ rationales and decision-making across mixed methods psychological intervention research. This study explored this phenomenon to develop and refine a list of practical recommendations for sampling in mixed methods that were tested using content validity.

Using an exploratory sequential …

The Examination Of Nonparametric Person-Fit Statistics As Appropriate Measures Of Response Bias In Ordered Polytomous Items, Mark F. Beck

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Survey research is ubiquitous within the social sciences; however, surveys are vulnerable to response biases. Response biases introduce construct-irrelevant variance into survey responses, which degrades the accuracy of conclusions drawn through the use of surveys. Nonparametric person-fit statistics have been shown to accurately identify response biases in dichotomous response data but are not well studied in polytomous response data. This study examines the accuracy of nonparametric person-fit statistics in polytomous response data. A 6 x 4 x 4 x 2 simulation study was conducted, with type of aberrancy (6), number of response options (4), dimensionality (4), and test length (2) …