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Lec. 7. Data Collection, Analysis & Problem Identification PowerPoint PPT Presentation


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HETC Project University Development Grants (UDGs) Training Program for Proposal Writers. Lec. 7. Data Collection, Analysis & Problem Identification. WHAT KIND OF DATA. External. 2 Main Categories. Internal. Input. Process. Systematic Approach. Output. EXTERNAL DATA.

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Lec. 7. Data Collection, Analysis & Problem Identification

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Lec 7 data collection analysis problem identification

HETC Project

University Development Grants (UDGs)

Training Program for Proposal Writers

Lec. 7. Data Collection, Analysis & Problem Identification


What kind of data

WHAT KIND OF DATA

External

2 Main Categories

Internal

Input

Process

Systematic Approach

Output


External data

EXTERNAL DATA

  • Means for Collecting Data

    • Primary: Surveys, Tracer Studies, Interviews, Questionnaires etc.

    • Secondary: Policy Documents, Literature, Media


Internal data

INTERNAL DATA

  • Means for Collecting Data

    • University Policy Documents

    • Annual Report

    • Interviews with VC/Other Authorities


Internal data1

INTERNAL DATA

  • Governance Structure

  • Finance (Fund Allocation)

  • Staff

  • Physical Facilities (Buildings, Laboratories, Library etc.)

  • Teaching & Learning Process

  • Students

  • Graduates


Systematic approach

Entering Students

Class Interactions

Assignments & Tutorials

T & L

Library Work

Language Lab

Assessments

Student Support Services

Computer Work

Graduation

SYSTEMATIC APPROACH


Stages in data analysis

PreparingTables

Organizing

Verifying

Collecting

Summary

……………

……………

Checking Consistencyacross tables

Analyzing Each Table

Performance - Trends

Profile - Compare with Norms

Summary

……………

……………

STAGES IN DATA ANALYSIS


Situational analysis

SWOT

Analysis

CURRENT

SITUATION

Strengths Weaknesses

………… …………

………… …………

Opportunities Threats

…………. …………

…………. …………

Root-Cause

Analysis

Restraining forces

Force-Field

Analysis

DATA

Problem Statement

1. ……………………

2. ……………………

3. ……………………. etc.

Driving forces

SITUATIONAL ANALYSIS


Self evaluation se

SELF EVALUATION (SE)

  • Purpose of SE is Not To Prove, but To Improve

  • Should involve all the Stakeholders

  • Should consider both the Strengths & Weaknesses

  • Different SERs for different purposes (Institutional Review & UDG) ?????


Impact of self evaluation

SE + Teamwork+ External Support

With SE+ Own Capacity

IMPACT OF SELF EVALUATION

Quality & Relevance

Desired Situation

With SE+ Teamwork

Current Situation

Without SE

Time


Lec 7 data collection analysis problem identification

S > W

O > T

External Data

Internal Data

Strengths Weaknesses

………… …………

………… …………

Opportunities Threats

…………. …………

…………. …………

SWOT

Analysis

ImprovementStrategy

Expansion

S < W

O < T

Summary

……………

……………

Summary

……………

……………

Consolidation

SWOT ANALYSIS


Problem identification

Why?

Why?

Why?

Why?

PROBLEM IDENTIFICATION

ROOT CAUSE

Partial Solution

SYMPTOM


Root cause analysis

PoorEthnic Harmony

GoodGPA

GreatLectures

UnemployedGraduates

On-time completion

Poor IT Skills

Long waiting time

GoodStaff

Dedication

Poor

Facilities

StaffOverload

Problem 1

Problem 2

Problem 3

ROOT-CAUSE ANALYSIS


Root cause analysis1

EXAMPLE

Diagnose

Symptoms

Symptoms

Repeating Courses - High

English Proficiency - Poor

Improve English Proficiency

Cause

Root

Cross-Table Analysis

- Find Linkages

Problem Statement

1. ……………………

2. ……………………

3. ……………………. etc.

Summary

……………

……………

Summary

……………

……………

ROOT-CAUSE ANALYSIS

1. Length of Study - Higher

2. Thesis Writing - Delays


Root cause analysis2

Symptom

Cause

Root

ROOT-CAUSE ANALYSIS

EXAMPLE 2

Conflicts between students and local villagers

Clothing frequently stolen from hostels

Lack of interaction between the University & villagers


Next steps

NEXT STEPS

  • Read, understand & familiarize the Guidelines

    • If you need any clarification, do not hesitate to contact PPDU

  • Based on the Guidelines identify

    • Data Required

    • Purpose/Use of the Data

    • Where can you Collect Data

    • How to Collect Data


Lec 7 data collection analysis problem identification

Data Collection

Data Analysis

Problem Identification

Improvement Plan

- Designing Activities

Next Lecture


Lec 7 data collection analysis problem identification

Questions !


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