Qualitative research seeks to examine the interconnections in rich, complex data sources. The statistical tools of quantitative methods separate out pieces of data in a manner that defeats the purpose. But, like quantitative researchers, qualitative researchers often still find themselves overwhelmed by the amount of data and equally in need of tools to extend their human senses. This has led the development of a number of software packages designed for this purpose. An often overlooked option, however, is Microsoft Excel. Excel is generally considered a number cruncher. However, its structure and data manipulation and display features can be utilized for qualitative analysis. In this article, the authors discuss data preparation, analysis, and presentation, including discussion of lesser known features of Excel.

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Science teaching in elementary schools, or the lack thereof, continues to be an area of concern and criticism. Preservice elementary teachers' lack of confidence in teaching science is a major part of this problem. In this mixed‐methods study, we report the impacts of an inquiry‐based science course on preservice elementary teachers' self‐efficacy for science and science teaching, understanding of science, and willingness to teach it in their future careers. Our findings suggest that for some students, the inquiry‐based science course positively influenced their self‐efficacy for science and science teaching. Gains were made in a majority of students' conceptual understanding of science, understanding of the science process and scientific research, and confidence with science and science teaching. The subjects did not experience the course uniformly, however. Rather, there appeared to be two distinct groups, one on a trajectory of improving their outlook on science teaching and one worsening. The results presented here therefore provoke some interesting questions regarding preservice elementary teachers' preparation for science teaching.

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