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Before you analyze your collected data (that are known as raw data), you must validate and process it.
Data validation aims to confirm:
1. Each piece of data is collected properly
2. Each participant was selected according to your research criteria
3. All the collected data are complete
4. And, all ethical standards are applied during data collection

Steps for processing of quantitative data include:
1. Editing
2. Coding

Editing means the processing of your raw data to confirm that it is free from incomplete and inconsistent data (clean).
Coding means ordering, classifying, and giving the row data specific codes. The coding of your data will facilitate the analysis. You can develop a codebook to save your coded data.
After you processed your quantitative data, You can classify them in either:
1. Quantitative responses
2. Categorical responses
3. Descriptive responses

Steps for processing of qualitative data include:
1. Determination of main categories (or themes).
2. Coding of the main themes
3. Grouping the data into the main themes
4. linking the main themes into your report
• After you processed your qualitative data, can analyze their content to order and classify them.
Data analysis means the process by which you will use your collected data to answer your research problem.
• To understand the relationships between variables, you will use statistical methods.
• Before you analyze your data, you can develop a frame of analysis to identify:
1. Variables that you want to analyze
2. How you plan to analyze them
3. Variables that you must join together to formulate your concept.
4. And the type of statistics required for each variable.
The analysis of your data depends on:
1. Type of data
2. Presentation of data