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Session Type: Paper Session
Mixed and multi-methods provide a means for researchers to address the dynamic contexts and factors that contribute to findings in research. In this session, we look at how explanatory sequential mixed methods is informed by qualitative cross case analysis, as well as the integration of profiling via latent class analysis to verify information across analytic approaches. Additionally, new uses of mixed methods is discussed in light of needs assessment methodology, arts-based mixed methods, and the reverse approach using qualitative instruments to develop quantitative ones.
More Than Picking Up Trash: An Explanatory Sequential Mixed-Methods Study on Action Civics - Kenley Bailey Ritter, Baylor University; Tori Smith, University of Alabama; Nate Scholten, Baylor University; Tony Lee Talbert, Baylor University; Brooke Blevins, Baylor University; Kevin Russel Magill, Baylor University; Karon Nicol LeCompte, Baylor University
Multiple Ways Qualitative Techniques Inform Unsupervised Computational Analysis of Video Data Applying Computational Grounded Theory - Christina Krist, University of Illinois at Urbana-Champaign; Erika David Parr, Rhodes College; Elizabeth B. Dyer, The University of Tennessee - Knoxville
Transformativist Needs Assessment Methodology: A Mixed Approach for Organizations Serving Marginalized Communities - Nicole Sankofa, University of North Texas
Two Teacher-Researchers' Reflections on a Review of Using Arts-Based Mixed Methods With Diverse Stakeholders - Peggy Shannon-Baker, Georgia Southern University; Claudia Martinez, Georgia Southern University
Using an Explanatory Sequential Design to Understand Early Childhood Special Education Teacher Well-Being - Heather Walter, George Mason University; Lionel Howard, The George Washington University; Beth Tuckwiller, The George Washington University; Elisabeth Kutscher, The George Washington University; Harriet Fox, The George Washington University