SayPro Data Analysis Template

Data Analysis Template Structure

1. Spreadsheet Layout

The spreadsheet will consist of multiple tabs to organize data effectively. Here’s a suggested structure:

• Tab 1: Raw Data
• Tab 2: Summary Statistics
• Tab 3: Satisfaction Scores
• Tab 4: Trends and Visualizations

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Tab 1: Raw Data

This tab will contain the raw responses from the survey. Each row represents a respondent, and each column represents a question.

Respondent ID	Role	Grade Level	Teaching Quality	Course Content	Support Services	Overall Experience	Comments
1	Student	High School	4	5	3	4	Great teachers!
2	Educator	Middle School	5	4	4	5	Need more resources.
3	Parent	N/A	3	4	5	4	Communication can improve.
…	…	…	…	…	…	…	…

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Tab 2: Summary Statistics

This tab will calculate basic statistics for each question, including mean, median, mode, and standard deviation.

Question	Mean	Median	Mode	Standard Deviation
Teaching Quality	4.2	4	5	0.8
Course Content	4.1	4	5	0.7
Support Services	3.8	4	4	0.9
Overall Experience	4.0	4	5	0.6

Formulas to use:

• Mean: =AVERAGE(range)
• Median: =MEDIAN(range)
• Mode: =MODE(range)
• Standard Deviation: =STDEV.P(range)

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Tab 3: Satisfaction Scores

This tab will calculate satisfaction scores for each question and overall satisfaction.

Question	Total Responses	Total Score	Satisfaction Score (%)
Teaching Quality	100	420	=(Total Score / (Total Responses * 5)) * 100
Course Content	100	410	=(Total Score / (Total Responses * 5)) * 100
Support Services	100	380	=(Total Score / (Total Responses * 5)) * 100
Overall Experience	100	400	=(Total Score / (Total Responses * 5)) * 100

Note: Replace “Total Score” with the sum of scores for each question.

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Tab 4: Trends and Visualizations

This tab will include charts and graphs to visualize the data trends over time or across different demographics.

1. Bar Charts: To compare satisfaction scores for each question.
2. Pie Charts: To show the distribution of roles (students, educators, parents).
3. Line Graphs: To track changes in satisfaction scores over multiple survey iterations.

Example Chart Creation:

• Select the data range for satisfaction scores.
• Insert a bar chart to visualize the scores for each question.
• Use the chart tools to customize the appearance and labels.

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Additional Tips

• Data Validation: Use dropdown lists for roles and grade levels in the Raw Data tab to ensure consistency.
• Conditional Formatting: Apply conditional formatting to highlight low satisfaction scores (e.g., scores below 70% in red).
• Pivot Tables: Use pivot tables to analyze data by demographics, such as comparing satisfaction scores between students and educators.

Conclusion

This Data Analysis Template will help SayPro effectively organize and analyze satisfaction data, calculate scores, and identify trends. By utilizing this structured approach, stakeholders can gain valuable insights into the educational experience and make informed decisions for improvements.