Abstract
<p style="text-align:justify">Instrument design is a powerful research approach to answer questions on a unique research topic. If the design was crafted to gather demographic information, and included open-ended remarks from respondents, the instrument could gather data that could be used in primary and secondary analyses on the same topic. Further, the quantitative data could establish independent and dependent variables for statistical tests, while the open-ended questions could garner qualitative data. This researcher created a 35-question instrument on workplace bullying for American higher education and conducted a study on 142 American community colleges. The findings revealed that 64% of respondents endured workplace bullying (Hollis, 2016). This data set supported several book chapters that included descriptive statistics, chi-square analysis, and qualitative data from the respondents. Further, by using the demographic data, the researcher was able to conduct a variety of analyses regarding workplace bullying and the association in community colleges involving race, gender, and sexual orientation. This practical essay will discuss insight to instrument development including a reflection on the literature review that informed the instrument design.</p>
Highlights
Researchers often have inquiries and ideas that are outside the scope of previous studies
The instrument development should be informed by a comprehensive literature review
While the Namie and Namie (2009) study found that 37% of American employees faced workplace bullying at some point in their lifetimes, the study did not analyze workplace bullying in American higher education
Summary
Researchers often have inquiries and ideas that are outside the scope of previous studies. To address the gap in the literature, the researcher might have an opportunity to create an original instrument to analyze an original research question. One research practice to deal with unique questions is instrument development. The resulting data could answer the primary research question with descriptive statistics, and support other statistical tests such as multiple regression, correlational tests, and chi square analysis
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