Measuring Social Impact: Part 1

The not-for-profit (NFP) sector plays a vital role in fostering and maintaining a healthy, vibrant society. The programs that NFP organisations deliver provide a critical foundation for promoting human rights, protecting our environment and giving a voice to the disadvantaged. But how do you measure the impact of these programs?

About this course

This is a free, self-paced online course.

The NFP sector is significant, with many businesses offering life-changing services. But how do we know whether these programs are successful? What’s the impact of these programs and how do we measure their impact and success?

In this taster course, you will be empowered with the knowledge of what to measure and how to measure your social impact. You will be equipped with all the tools needed to conduct evidence-based and methodologically-rigorous program evaluation. You may even walk away challenging the way you think about measuring program outcomes!

Associate Professor, Dr Bronwen Dalton of UTS Business School will share her expertise, helping you navigate your way towards evaluation best practice.

You will develop a theory of change and complete a logic model outlining best approaches to the intervention and details regarding resources, activities, outputs, short & long-term outcomes and impact in the logic model template provided.

You will walk away with a practical logic model that describes the sequence of activities to bring about change and how these activities are linked to the results of the program connecting the planned work and intended results.

Course structure

Introduction to measuring social impact
Why measure social impact?
How do we implement it?
Evaluating impact.

Why you should do this course?

Find out about the rationale for evaluation of the not-for-profit sectors’ social impact
Understand the need to adopt an evidence-based approach to program development and apply this approach to your own program
Apply the two main methodologies used in measuring social impact - theory of change and logic model
Gain some of the critical knowledge for the Master of Not-for-Profit and Social Enterprise Management, offered by the UTS Business School.

Who is this course for?

This course is for anyone who wants to ensure their not-for-profit programs are creating an impact in local communities, or on broader society.

Meet the Expert

Professor Bronwen Dalton

Management Discipline Group, UTS Business School

Bronwen is the Director of the Masters of Not-for-Profit and Community Management Program at the University of Technology. In 2015, she was Co-Director of the UTS Centre for Cosmopolitan Civil Societies and in 2012, the National Manager, Research, at Mission Australia.

Bronwen completed her PhD at the University of Oxford, where she was awarded the Oxford University Larkinson Award for Social Studies and was the recipient of the British Vice-Chancellors Committee Overseas Research Scholarship and the Korea Foundation Scholarship. She also has a BA from the Australian National University and a MA from Yonsei University, Korea. Bronwen has conducted extensive research in the field of not-for-profit sector studies and has authored book chapters and journal articles on NFP childcare, NFP business venturing, social enterprises and advocacy.

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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Measuring Social Impact: Part 1

About this course

Course structure

Why you should do this course?

Who is this course for?

Meet the Expert

Related Courses

Modern Slavery in the Home

Human Rights and Emerging Technologies: Research and Capacity Building

Human Rights and Emerging Technologies: an Interdisciplinary Approach

Statistical Thinking

Forecasting NBN Broadband Service Demand

Machine Learning in Train Network Operations

Acknowledgement of Country

START DATE	Start anytime
MODE	Online
DURATION	Self paced