The authors demonstrate how collecting quantitative data via psychometrically sound quantitative instruments during the qualitative interview process enhances interpretations by helping researchers better contextualize qualitative findings, specifically through qualitative dominant crossover mixed analyses. They provide an example of this strategy, whereby a baseline was established using a quantitative scale and normative data to help interpret qualitative interviews, resulting in what they call a mixed methods interview. Philosophical and practical implications are discussed.Keywords: qualitative interviews, qualitative dominant mixed analysis, crossover mixed analysis, mixed methods research, mixed research

<p>Onwuegbuzie and Frels (2014) provided a step-by-step guide illustrating how discourse analysis can be used to analyze literature. However, more works of this type are needed to address the way that counselor researchers conduct literature reviews. Therefore, we present a typology for coding and analyzing information extracted for literature reviews based on Saldaňa’s (2012) coding methods. We present stages for conducting these analyses using an actual body of published works and illustrate how to use a computer-assisted qualitative data analysis software program, namely, QDA Miner. Finally, we delineate how using this systematic approach promotes counselor identity and addresses the call for ethical, transparent research and evidence-based practices.</p>

<p>Because of the mixed research-based nature of literature reviews, it is surprising, then, that insufficient information has been provided as to how reviewers can incorporate mixed research approaches into their literature reviews. Thus, in this article, we provide a mixed methods research approach—Q methodology—for analyzing information extracted from literature reviews. Specifically, after describing the history and characteristic of Q methodology, we show how this approach can be mapped onto the literature review process—a process that we call a Q Methodology Research Synthesis (QMRS). In particular, we outline the steps involved in a QMRS. We contend that our framework represents a first step in an attempt to help literature reviewers analyze and interpret information extracted from literature reviews in an optimally rigorous way.</p>

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