Qualitative Comparative Analysis in Mixed Methods Research and Evaluation
Day 2 looks at the analysis and reporting of performance information and its incorporation in a number of critical management processes such as strategic planning, results based budgeting, program management and evaluation, quality improvement, performance contracting and grants management, stakeholder engagement, and the management of employees and organizations.
Poister, Maria P. This course focuses on both the practical aspects of participatory evaluation improved utilization of evaluation, enhanced decision-making relevance, etc. The course covers the principles of participatory evaluation; decision-processes in determining whether participatory evaluation is an appropriate evaluation approach; the role of the evaluator; stakeholder selection procedures; what to look for and how to build evaluation capacities of a participatory evaluation team; managing power, status differentials and conflicts; and, the advantages and disadvantages of conducting participatory evaluations.
The course emphases practical application and incorporates small group exercises, using hypothetical and actual case examples from international and U. Course participants are encouraged to submit their own participatory evaluation case examples or questions about participatory evaluation, prior to the course for inclusion in the course discussions.
It forms the foundation of every intervention, and yet the underlying assumptions and values are often not thoroughly examined in many evaluations. In this course students will explore the policy development process, study the theoretical basis of policy and examine the logical sequence by which a policy intervention is to bring about change. Participants will explore several models of policy analysis including the institutional model, process model and rational model.
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Participants will experience a range of policy evaluation methods to systematically investigate the effectiveness of policy interventions, implementation and processes, and to determine their merit, worth or value in terms of improving the social and economic conditions of different stakeholders.
The course will differentiate evaluation from monitoring and address several barriers to effective policy evaluation including: goal specification and goal change, measurement, targets, efficiency and effectiveness, values, politics, increasing expectations.
Module 10: Distinguishing Evaluation from Research
The course will present models from a range of policy domains. At the beginning of the 2-day course, participants will select a policy from their own work to apply and use as an example throughout the class. Participants will develop the components of a policy analysis and design a policy evaluation. Henry, PhD. Just as there are many types of evaluation, policy analysis is conducted in different ways and for different purposes.
Both usually involve an independent assessment of the social problem that is to be addressed through government action and an assessment of the costs and consequences of relevant policy alternatives. Another type of policy analysis is labeled professional and is intended to have more direct short-term influence on policy, often using data from previous evaluations and extrapolating results to a new setting. Advocacy policy analysis selectively uses data to make a case for pre-determined policy position. This course will explore the types of policy analysis and the types of evaluation that are most likely to be influential in the policy process.
Participants will develop major components of a professional policy analysis and design a policy evaluation. In addition, the class will focus on the development of a communication strategy for a policy evaluation. Use concerns how real people in the real world apply evaluation findings and experience the evaluation process. Therefore, the focus in utilization-focused evaluation is on intended use by intended users. Utilization-focused evaluation is a process for helping primary intended users select the most appropriate content, model, methods, theory, and uses for their particular situation.
Situational responsiveness guides the interactive process between evaluator and primary intended users. Learn More. No prerequisites are required for this one-day course. Students will be sent several articles prior to the course as a foundation for the method. Collaboration — Programs often seek to achieve both efficiency and effectiveness by improving collaboration across participating stakeholders.
Leadership — Collaborative frameworks yield new styles of leadership, the effect of which needs to be taken into account in evaluating a system. Resource Allocation — In changing systems, human and financial resources are often reallocated. Methods- Resource maps help decision-makers to identify gaps, inefficiencies, overlaps, and opportunities for collaboration with all participating partners. Each participant will receive a set of readings and current support materials.
Prerequisites: Familiarity with basic statistics. Participants will be sent materials prior to the course as a foundation for the method. Evaluating Assumptions. Evaluating Assumptions: An Applied Example. Model Ambiguity. Assessing Robustness. Evaluating Robustness: An Applied Example.
Iterative Respecification. Overview of Interpretation. Multi-value QCA. Incorporating Time in QCA. Critiques of QCA.
Reporting QCA Methods. Summarizing Findings and Limitations.
Improving Accessibility to Readers. Responding to Peer Review Critiques. Supplements Student Study Site Datasets and accompanying exercises are available for download. Elizabeth H. University of Massachusetts Amherst. James R. Creighton University. Tamar Ginossar. University of New Mexico. Raymond Blanton.
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University of the Incarnate Word. There are sufficient experts on the evaluation committee who are in a position to adequately assess the quality of the research.
Decide which evaluation method to use | Better Evaluation
The above principles are implemented by means of a smart choice of evaluation indicators and by adopting a holistic approach to peer review. Any committee or policy measure evaluating research, makes a best effort commitment to translate the above principles into practice. Related content Using indicators in the evaluation of research Portfolio of research dimensions.