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Health sciences and medicine data structure

Week 7 Assignment: Data Structure
A good statistical analysis takes proper planning. It is like building a house. You do not want to have beautiful architectural layout plans (your data analysis plan) and then shoddy framework (data structure). By the time you are moving in, you are already starting to see the flaws (Wyseure, 2005). When structuring the data, certain principles should be followed to have an organized database.
1. Data should be stored in one table.
2. Each observation should have its own record, and any replication should have a separate record.
3. Each record should have its own line or row, with fields for each variable.
4. Each variable should have its own specific field.
5. The field should always be in the same column.
6. Always start the database at the top left (Cell A1 in Excel) (Wyseure, 2005).
In order to conduct an accurate statistical analysis using SPSS or another statistical software, you should ensure that that your data are organized properly to meet the needs of the software.
As you review the secondary data set, consider whether the data structure is suitable for analysis and the steps to restructure the data if needed.
For this Assignment, use the given data set (identify data sets) and create a database in SPSS or Excel. Convert a continuous variable to a categorical variable and combine several variables. In addition, create graphs for both the original and new variables.
• Merge the data (merge two data sets together).
• Convert a continuous variable to a categorical variable.
• For both the original and new variables create a histogram for the continuous variable and a bar chart for the categorical variable.
• Manipulate the data to create a new variable (Combine two of more variables to create a new variable).
• Manipulate the data structure (Split the new data set file into 25/75).
• Submit descriptive statistics for both the original and new variables
• Submit descriptive statistics for both the original and new variables before and after splitting the new data set file.
• Explain the rationale for creating the new variables
• Interpret the results of descriptive statistics before and after of the old and new variables, merging, and splitting. The references should be less than 5 years

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