Data Analysis Presentation Interpretation
Data Analysis, Presentation &
Interpretation
Prof. Dr. Md. Nazrul Islam Ph.D
1
Data Analysis Plan
The appropriate methods of data analysis are determined by your data types and variables of interest, the actual distribution of the variables, and the number of cases.
2
Data Management
3
Why prepare a plan for processing and analysis of data?
All information has been collected in a standardized way
Not collected unnecessary data which will never be analyzed A statistical analysis plan should clearly state your objectives and list the most important tasks
Also provide you with a detailed description of exactly what you want to do and why
4
What should the plan include?
Sorting data
Performing quality-control checks
Data processing and
Data analysis
5
Sorting Data
An appropriate system for sorting the data is important for facilitating subsequent processing and analysis.
For example, in a study concerning the reasons for low acceptance of family planning services, users and non-users would be basic categories.
6
Data Cleaning
Data cleaning is extremely important when the data collection method allows inconsistencies. All data cleaning work must be carefully documented and available in a report. Data cleaning includes the following activities as needed:
• Removal of outliers: Invalid, impossible, or extreme values may be removed from the dataset.
• Labeling missing values: It may be necessary to label each missing value.
7
Data Processing
The data can be processed in 7 steps:
• Step 1: List all answers for a particular question you can use the questionnaire number, so that you can place each answer in its original context, if required.
• Step 2: To establish your categories, you first read carefully through the whole list of answers. Then you start giving codes for the answers
• Step 3: List the answers again, grouping those with the same code together.
8
Data Processing contd…
• Step 4: Then interpret each category of answers and try to give it a
Interpretation
Prof. Dr. Md. Nazrul Islam Ph.D
1
Data Analysis Plan
The appropriate methods of data analysis are determined by your data types and variables of interest, the actual distribution of the variables, and the number of cases.
2
Data Management
3
Why prepare a plan for processing and analysis of data?
All information has been collected in a standardized way
Not collected unnecessary data which will never be analyzed A statistical analysis plan should clearly state your objectives and list the most important tasks
Also provide you with a detailed description of exactly what you want to do and why
4
What should the plan include?
Sorting data
Performing quality-control checks
Data processing and
Data analysis
5
Sorting Data
An appropriate system for sorting the data is important for facilitating subsequent processing and analysis.
For example, in a study concerning the reasons for low acceptance of family planning services, users and non-users would be basic categories.
6
Data Cleaning
Data cleaning is extremely important when the data collection method allows inconsistencies. All data cleaning work must be carefully documented and available in a report. Data cleaning includes the following activities as needed:
• Removal of outliers: Invalid, impossible, or extreme values may be removed from the dataset.
• Labeling missing values: It may be necessary to label each missing value.
7
Data Processing
The data can be processed in 7 steps:
• Step 1: List all answers for a particular question you can use the questionnaire number, so that you can place each answer in its original context, if required.
• Step 2: To establish your categories, you first read carefully through the whole list of answers. Then you start giving codes for the answers
• Step 3: List the answers again, grouping those with the same code together.
8
Data Processing contd…
• Step 4: Then interpret each category of answers and try to give it a