Evaluation and research adds significant value to policy development, programmes and projects.

To make the best decisions, you need to know what is working, where the gaps or variations are, and understand what could be improved.

This knowledge can be the difference between a good outcome for your initiative, and a great one!

WHAT WE DO

The Evaluation and Research team carries out evaluation and research projects across the public sector, in local government, non-government organisations, and for various associations and foundations. The evaluation and research projects commonly contribute insight into how social and health outcomes for various groups in our communities might be improved. All team members are committed to improving social wellbeing outcomes.

The E + R team currently comprises very experienced qualitative and quantitative evaluators and researchers, with a diverse range of professional backgrounds and a wide range of networks across many sectors, within New Zealand’s national boundaries and internationally. The E+ R team offers evaluation and research services across the public sector, local government, and community organisations.

HOW WE CAN HELP

We work with you to provide services to support all or specific stages of your programme or initiative.

Mixed methods evaluation and research (qualitative and quantitative methods, kaupapa methodology, Māori centric design)
Employing a wide range of evaluation frameworks/plans/designs
Applying a range of research study designs (e.g., random control trials, longitudinal cohort studies, case studies, cross sectional studies)
Developing programme theory/logic models, contributing to evaluation knowledge
Contributing to new knowledge in a range of fields
Evaluation services from rapid reviews to multi-year evaluations
Data analytic services, statistical analysis, analysis of routine data, longitudinal data analysis, analysis of secondary data, big data (e.g., IDI), data linkage
Qualitative analysis: thematic analysis, full thematic analysis (application of theory), application of frameworks and models
Design of evaluations drawing on implementation science
Document analysis
Development of interview schedules, focus group guides mapped to KEQs, development of survey instruments and experience in working with a range of psychometrically validated measures
Reviews of longitudinal studies, metrics, and measures
Literature reviews including narrative reviews, systematic reviews, and meta syntheses