Food Insecurity and Its Impact on Health Status Among Homeless Individuals
- Clearly explain and discuss how to conduct data synthesis and data analysis. The data from primary sources will be ordered, coded, categorized, and summarized into a unified and integrated results. It includes the following steps as outlined by Whittemore & Knafl (2005):
- Data Reduction: the selected studies will be divided into subgroups according to a logical system to facilitate analysis (use techniques of extracting and coding data to simplify, abstract, focus, and organize the data into a manageable framework). The relevant data of each subgroup classification will be extracted from studies.
- Data Display: data will be assembled as group data and converted into a display around variables or subgroups. It will be in the form of a table (also called matrix) for comparison across all of the selected data. Data may include but not limited to: author and year; study design; study aims/objectives; conceptual framework; concepts measured; data analysis technique; results; strengths/weaknesses, etc.
- Data Comparison: it is a process of examining the data in order to identify patterns, themes, or relationships and answer the research question(s).
