By explaining in detail how the data will be analyzed and interpreted within their study, a researcher proves the worth of their study. It requires abstract thought and in-depth consideration. Interpretation is the section of the proposal and research project that requires human intervention (Leedy & Ormrod 2001). The time and effort poured into preparing a research proposal is wasted if the entire proposal is rejected because the proposed data analysis is considered weak, overly general, or not consistent with the study hypothesis. According to Leedy and Ormrod (2001), one of the most common grounds for having a proposal rejected is not clearly explaining the process for analyzing and interpreting data in relation to the original stated problem. Not clearly and thoroughly analyzing and providing interpretation of data could cause the research proposal to be rejected. ![]() When drawing conclusions about research findings, it is imperative that the data support the conclusion, and in-depth analysis is what constitutes the conclusion and whether or not it supports the hypothesis (Leedy & Ormrod 2001). One issue could be the failure to interpret or a complete misinterpretation of data. By cutting corners in this section of the research proposal, researchers leave themselves open to several major issues. Leedy and Ormrod (2001) point out that research is cyclical therefore, at the end of a research project the data should lead back to the beginning of the project-the hypothesis. ![]() Analysis is at its most basic form using the data to answer the research proposal hypothesis (Leedy & Ormrod 2001). ![]() It can be easy to get caught up in organizing and displaying data for consumption and confusing this for analysis. Without interpretation, data and research fail to become applicable within the field. Interpreting the data of any research study is the ultimate end goal.
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