Research Methods: DIKW and CRAAP Frameworks for GRIT Analysis

This report utilizes the DIKW (Data, Information, Knowledge, Wisdom) and CRAAP (Currency, Relevance, Authority, Accuracy, Purpose) frameworks to analyze GRIT test results, comparing primary data collected with secondary data from UWTSD. The DIKW model is used to structure the analysis, starting with raw data, transforming it into information through processing and visualization, then deriving knowledge by comparing primary and secondary sources, and finally reaching wisdom by evaluating the role of GRIT in academic achievement and personal growth. The CRAAP framework is applied to assess the reliability and validity of the secondary data. The report highlights discrepancies between primary and secondary data, particularly concerning academic levels and GRIT scores, and discusses the implications of these findings for understanding the relationship between GRIT, academic level, and growth mindset. The study emphasizes the importance of perseverance and passion in achieving long-term goals and suggests strategies for cultivating a growth mindset.