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Data for equitable and inclusive policies

Advice needed - working on a piece on data and inclusive policies. Would you say that interventions aiming at equity and inclusiveness need a certain type of data? Experts call for more equity-weighted, disaggregated, qualitative and multi-dimensional evidence. Are there other parameters you would add? If so, which ones and why?
 

07 Jul 2018 7:42

The context and motive behind understanding the phenomenon will determine the type of data, methodology and the type of research (abduction, deduction, inductive research ) to be done. So research on inclusiveness and equity is not data static rather, depends on the focus of the study.  There are other parameters to be added.The psychometric tests are called implicit association tests (IAT). They have become very debatable, so many researchers are using the good old questionnaire but you can look around. 
Look at the data appendices of the attach paper.http://www.arec.umd.edu/sites/arec.umd.edu/files/_docs/events/Seema%20Jayachandran-Reshaping%20Adolescents%20Gender%20Attitudes-evidence%20from%20a%20school-based%20experiment%20in%20India_0.pdf 
I you need more information, plu
 Ask me. Thank you.

Emmanuel Makanjuola OGUNJEMILUA

 

Expert 08 Jul 2018 13:35

If you wish to assess the degree of equity and inclusiveness of a specific social (inclusive) policy then you need to pay attention at the level of aggregation of population data collected so as to be able to establish the degree of equity and inclusiveness.
Example. Say the policy is to provide minimum income to poor families in rural areas with the goal of enabling these families to provide their children and send them to school. To assess the degree of inclusiveness of this policy would imply you need to study a sample of the population receiving this benefit and compare it to a population with similar characteristics not receiving this benefit. If the population receiving this benefit demonstrates a higher share of children enrolled at school than the population not receiving the benefit then you could argue the policy has accomplished its goals in terms of inclusiveness.
Clearly the precise design of research / data needed is case / context specific and can only be established at the concrete level.

09 Jul 2018 11:47

Greetings.  My research advocates fully disaggregated equality data collection and analysis as a means to achieve more sustainable, inclusive, dynamic  and equitable policies. For example Advance HE's Athena Swan and Race Equality Charter Mark monitors unequal outcomes based on gender and ethnicity in higher education, and allows higher education institutions to be innovative in finding solutions. See http://www.ecu.ac.uk/ .

Community participation is another parameter illustrated by SDG 16 of the 2030 Agenda for Sustainable Development,  and is employed in my research study. Collaboration between academia, civil society and other stakeholders  can contribute to more inclusive and equitable policy development.

Expert 15 Jul 2018 0:09

It is an interesting and important question to address mainly by policymakers and analysts.  There are many approaches but I consider the application of Participatory Research Appraisal (PRA) as the real candidate for listening to the clients and giving them an opportunity to creatively present their case. This tool is more of a help to those who want a highly structured and flexible tool for information collection. 

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