Charles Ungerleider, Professor Emeritus, The University of British Columbia
[permission to reproduce granted if authorship is acknowledged]
To avoid making egregious mistakes and embarrassing myself, I have several respected colleagues who read my blogs before I post them. A reader of last week’s blog suggested that I devote an entire blog to the reasons why comparative analyses are helpful and to whom.
Comparative analysis involves examining and interpreting data from different schools, districts, or educational systems to identify patterns, trends, and areas in need of improvement. Such analyses are valuable for many stakeholders, including parents, educators, policymakers, advocacy groups, researchers, and others.
Benchmarking and performance evaluation are the primary reasons why Canadian provinces and territories cooperate under the ambit of the Council of Ministers of Education, Canada (CMEC) in the Pan-Canadian Assessment Program (PCAP) and in the Organisation for Economic Co-operation and Development (OECD) Programme for International Student Assessment (PISA). PCAP and PISA data are useful starting places for answering the question how are we doing in comparison with other jurisdictions now and over time.
Benchmarking performance is the first step in the process of performance evaluation which, if done well, will help inform policy and decision making. Governments and policymakers use comparative data to evaluate the effectiveness of educational policies and programs. By comparing data across different jurisdictions, they can identify best practices and areas needing improvement. This information can guide the development of more effective educational strategies and policies.
Comparative analyses are also essential in educational research. Researchers use data to study various aspects of the education system. Comparative data contribute to understanding the effectiveness of education changes and the relationship between education and socio-economic outcomes.
From my perspective, among the most important contributions of comparative analyses is understanding educational inequities. Comparative data analysis can reveal disparities in educational outcomes across different regions, socio-economic groups, or ethnic backgrounds, indicating where policy interventions to promote equity in education are needed. Without comparing data overtime, it would be impossible to know if efforts to reduce inequalities and produce more equitable outcomes were successful.
Comparative data can inform us about where resources are most needed, and they can help in allocating efficiently to where they are most needed. Comparative data analysis helps reveal disparities and needs across different regions or demographics and is helpful to decision-makers in evaluating their budgetary allocations, leading, one hopes, to allocations that are economical, efficient, and effective. Regular comparative analysis fosters accountability. Monitoring and reporting on performance metrics is a key responsibility of boards and ministries of education.
Comparative analysis is a tool for strategic planning. It helps the governors of systems to set long-term goals and administrators to establish objectives based on empirical evidence. Comparative data analysis is essential for advocacy organizations that wish changes. Organizations focused on education use comparative data to highlight disparities in access to programs or outcomes.
Comparative data analysis in elementary and secondary education is a powerful tool for improving educational outcomes. It helps us understand how distinct factors contribute to student success and helps decision-makers make informed decisions to enhance the quality of education.
For
all these reasons it is important and valuable for Canada and its provinces and
territories to further their efforts to produce consistent, reliable and
comparable education statistics