Data Overview

1.1 Data Collection Method

• Survey
• Interviews
• Focus Groups

1.2 Sample Size

• Total Number of Responses: ________
• Survey Responses: ________
• Interview Responses: ________
• Focus Group Responses: ________

1.3 Demographic Breakdown

• Age Group Distribution:
  ☐ Under 18: ________
  ☐ 18-24: ________
  ☐ 25-30: ________
  ☐ 31-40: ________
  ☐ 41+: ________
• Year of Study:
  ☐ First Year: ________
  ☐ Second Year: ________
  ☐ Third Year: ________
  ☐ Final Year: ________
  ☐ Graduate: ________
• Program of Study:
  ☐ STEM: ________
  ☐ Humanities: ________
  ☐ Social Sciences: ________
  ☐ Business: ________
  ☐ Arts: ________
  ☐ Other: ________

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2. Quantitative Data Analysis

2.1 Frequency Analysis

• Objective: To identify the most common educational needs and their frequency of occurrence across the student population.

Need Category	Frequency (Count)	Percentage (%)
Academic Support	________	________%
Technological Support	________	________%
Social Support	________	________%
Mental Health Support	________	________%
Accessibility Needs	________	________%
Other Needs	________	________%

2.2 Intensity Analysis

• Objective: To analyze the urgency or intensity of each educational need reported by students. This analysis will help prioritize needs based on perceived severity.

Need Category	Intensity (Scale: 1 = Low, 5 = High)	Average Intensity Score
Academic Support	________	________
Technological Support	________	________
Social Support	________	________
Mental Health Support	________	________
Accessibility Needs	________	________
Other Needs	________	________

2.3 Need Importance Rating

• Objective: To rank the needs in terms of their perceived importance by students. This can be based on student ratings of how critical the need is for their academic success.

Need Category	Importance Rating (1 = Low, 5 = High)	Average Importance Score
Academic Support	________	________
Technological Support	________	________
Social Support	________	________
Mental Health Support	________	________
Accessibility Needs	________	________
Other Needs	________	________

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3. Qualitative Data Analysis

3.1 Thematic Analysis

• Objective: To identify recurring themes and categories within the open-ended responses from surveys, interviews, and focus groups.

Theme Category	Description of Theme	Frequency (Number of Mentions)
Academic Challenges	E.g., difficulties with coursework, need for tutoring	________
Technology Access Issues	E.g., lack of devices or internet access	________
Mental Health Concerns	E.g., stress, anxiety, or lack of mental health resources	________
Social Support Needs	E.g., desire for peer groups or extracurricular activities	________
Accessibility Issues	E.g., physical access to campus or need for accommodations	________
Other Needs	E.g., career advice, financial aid, etc.	________

3.2 Codebook Development

• Objective: To develop a codebook for categorizing qualitative data, ensuring consistency in theme identification across the dataset.

Code	Description	Example	Frequency
ACADSUP	Academic Support	“I need more tutoring help for calculus.”	________
TECHSUP	Technological Support	“I don’t have access to a laptop for online classes.”	________
SOCSUP	Social Support	“I would like more student meetups to build community.”	________
MHSUP	Mental Health Support	“There should be more counseling services available.”	________
ACCISSUE	Accessibility Issues	“The campus lacks accessible ramps for students in wheelchairs.”	________
OTHERS	Other Needs	“More career services are needed to help us find jobs after graduation.”	________

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4. Identifying Trends and Patterns

4.1 Cross-Tabulation Analysis

• Objective: To identify trends and relationships between demographic factors and student needs (e.g., academic needs by year of study, technological needs by program).

Need Category	Age Group 18-24	Age Group 25-30	STEM Students	Humanities Students	First Year Students	Final Year Students
Academic Support	________	________	________	________	________	________
Technological Support	________	________	________	________	________	________
Social Support	________	________	________	________	________	________
Mental Health Support	________	________	________	________	________	________
Accessibility Needs	________	________	________	________	________	________

4.2 Heat Map Analysis (Optional)

• Objective: To visually represent the intensity of needs across different groups, which can help highlight priority areas for intervention.
• Tool: Use Excel, Google Sheets, or a data visualization tool like Tableau to create heat maps based on the frequency and intensity of needs.

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5. Student Need Index (SNI) Calculation

5.1 Weighting of Needs

• Based on the frequency, intensity, and importance scores, assign weights to each need category. For example:
  • Academic Support: 40%
  • Technological Support: 20%
  • Social Support: 15%
  • Mental Health Support: 10%
  • Accessibility Needs: 10%
  • Other Needs: 5%

5.2 Composite Need Score

• Use the following formula to calculate a Composite Need Score (CNS) for each need category: CNS=(Frequency×0.3)+(Intensity×0.4)+(Importance×0.3)\text{CNS} = (\text{Frequency} \times 0.3) + (\text{Intensity} \times 0.4) + (\text{Importance} \times 0.3)CNS=(Frequency×0.3)+(Intensity×0.4)+(Importance×0.3)
• Example:
  • Academic Support:
    CNS=(Frequency of 80×0.3)+(Intensity of 4×0.4)+(Importance of 5×0.3)\text{CNS} = (Frequency \, \text{of 80} \times 0.3) + (Intensity \, \text{of 4} \times 0.4) + (Importance \, \text{of 5} \times 0.3)CNS=(Frequencyof 80×0.3)+(Intensityof 4×0.4)+(Importanceof 5×0.3)

5.3 Rank Needs Based on CNS

• Rank the needs based on the calculated Composite Need Score from highest to lowest. This will form the basis of the Student Need Index (SNI).

Need Category	CNS Score	Rank
Academic Support	________	1
Technological Support	________	2
Social Support	________	3
Mental Health Support	________	4
Accessibility Needs	________	5
Other Needs	________	6

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6. Reporting Insights

6.1 Key Insights Summary

• Summarize the most significant findings, focusing on high-priority needs and trends, as well as any unexpected patterns in the data.

6.2 Actionable Recommendations

• Based on the data, provide recommendations for SayPro’s programs, interventions, or resource allocation to address the identified needs.