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EDTC 810 Statistics for Educational Research
This course focuses of student developing competence in applying, synthesizing, and evaluating statistics from sources including dissertations, journals, and technical reports. The student will apply the fundamental concepts and procedures of descriptive and inferential statistics to real-world applications.
Professor: Dr. Mark Connolly
Spring 2020
The review included five scholarly peer-reviewed journal articles on gamification and wrote an analysis of the methods used. The paper explored the research methodologies, compared and contrasted the similarities and differences among the methods used, and included discussion of participants, sample size, data collection instrument, data analysis technique conducted, validity, and generalizability.
The assignment was the continual use of the same journal articles from project one to discuss data analysis and the findings based on the data collection methods. Quantitative data collection and analysis techniques involved inferential statistics, included correlations, independent sample t-test, and Friedman tests, comparable to one-way ANOVA. Qualitative data collection was through interviews and focus groups involved coding via thematic analysis to find emergent themes.
The final paper was a research proposal consisted of three chapters: Introduction, Literature Review, and Methodology. The topic was on the impact of a gamified orientation program on underrepresented minority STEM students through a qualitative case study research approach. Lave and Wenger’s (1991) Theory of Situated Learning referenced in the paper, where the participants in the gamified orientation became involved in the community and therefore were more active and engaged with the university program Wenger's communities of practices involved individuals engaged in the process of collective learning of a shared realm. The building of the community aspect came through the learning process.
The presentation supported the research proposal included the following sections: research problem, the significance of the research problem, research questions, literature review, research methodology, and data analysis procedures.
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