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In-Conference Sessions
In addition to all of the great paper sessions, poster sessions, symposia, keynotes, and networking opportunities for which NERA is known, we are pleased to offer three in-conference training sessions that will run on Thursday and Friday at various times during the conference. These are great opportunities to get an introduction to a topic taught by experts in the field at no charge! Pre-registration is not required. IN-CONFERENCE SESSION A Mixed Method Design and Analysis with Validity Presenter: Dr. Burke Johnson, University of South Alabama This workshop will cover some of the nuts and bolts of mixed methods research. Current thinking on the following topics will be briefly examined: appropriate research questions, sample methods, typologies of mixed method research designs, data collection and analysis strategies. Special attention, throughout the workshop, will be given to “legitimating” mixed methods studies using the nine Onwuegbuzie and Johnson validity criteria. Exemplary studies will be addressed as models of practice. Participants’ insights and questions will be discussed as time permits, and sources for additional information will be provided. Dr. Johnson also will provide a copy of his Primer of Mixed Methodology, so bring your jump drive to receive a copy.
IN-CONFERENCE SESSION B An Introduction to Structural Equation Modeling Presenter: Dr. Sara Finney, James Madison University The purpose of the training session is to provide attendees with a general overview of structural equation modeling (SEM) by introducing path analysis, confirmatory factor analysis (CFA), and full structural equation modeling. Dr. Finney will start with path analysis, which models relationships among measured variables, then move to CFA, which is simply an extension of exploratory factor analysis, and finish with full structural models involving latent variables, which essentially merges path analysis and CFA. The advantage of the latter is that theories may be tested by estimating relationships between the underlying constructs of interest, rather than estimating relationships between observed variables that are contaminated by measurement error. Links will be made between these techniques and other more familiar techniques such as multiple regression and exploratory factor analysis. For each SEM technique, the following steps in the analysis process will be explained: model specification, model identification, model-data fit evaluation, and parameter estimate interpretation. This 1.5 hour workshop requires no prior experience with SEM.
IN-CONFERENCE SESSION C Collaboration for Scholarship Results: Guidelines for Maximizing Outcomes, Enjoyment and Learning Presenters: Dr. Jan Stivers, Marist College, and Dr. Sharon Cramer, Buffalo State College This interactive workshop will enable participants to gain new insights into how they work with others throughout the writing process. The presenters, who have collaborated long distance on two joint articles and a research project resulting in a book, have also served as informal resources to each other on independent projects. This session will enable participants to develop new skills and enthusiasm for transforming the solitary scholarship experience into one that (when shared) can include candor and celebration.
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