Selecting Impact Outcome Evaluation Designs: A Decision-Making Table and Checklist Approach

Table Of Content

• A bibliometric analysis of the use of the Gamification Octalysis Framework in training: evidence from Web of Science
• The principal elements involved in justifying conclusions based on evidence are:
• A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance
• Step 3: Focus the Evaluation Design
• Introduction to Randomized Evaluations
• Data Availability Statement

The feasibility standards are to ensure that the evaluation makes sense - that the steps that are planned are both viable and pragmatic. It is naive to assume that lessons learned in an evaluation will necessarily be used in decision making and subsequent action. Deliberate effort on the part of evaluators is needed to ensure that the evaluation findings will be used appropriately.

A bibliometric analysis of the use of the Gamification Octalysis Framework in training: evidence from Web of Science

Interactions between individuals are shaped by and reflect underlying and often hidden structures that shape biases and create disparate outcomes even in the absence of racist actors or racist intentions. The presence of structural racialization is evidenced by consistent differences in outcomes in education attainment, family wealth, and even life span. Authentically bringing traditionally excluded individuals and/or groups into processes, activities, and decision/policy making in a way that shares power. There is a spectrum of research design options—ranging from small-scale feasibility studies (sometimes called road tests) to larger-scale studies that use advanced scientific methodology.

The principal elements involved in justifying conclusions based on evidence are:

Field-driven design and performance evaluation of dual functionally graded triply periodic minimal surface structures ... - ScienceDirect.com

Field-driven design and performance evaluation of dual functionally graded triply periodic minimal surface structures ....

Posted: Sat, 19 Aug 2023 08:05:45 GMT [source]

This method enabled the researchers to compare and contrast differences within the data and to identify connections between categories, thereby exploring their relationships and informing data interpretation. Once you have decided on your questions and evaluation type, it is time to develop your study design. The PRC program is a national network of 24 academic research centers committed to prevention research and the ability to translate that research into programs and policies. The centers work with state health departments and members of their communities to develop and evaluate state and local interventions that address the leading causes of death and disability in the nation. Many different questions can be part of a program evaluation, depending on how long the program has been in existence, who is asking the question, and why the information is needed.

A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance

Observational or case study methods use comparisons within a group to describe and explain what happens (e.g., comparative case studies with multiple communities). Another alternative to experimental and quasi-experimental models is a goal-based evaluation model, that uses predetermined program goals and the underlying program theory as the standards for evaluation, thus holding the program accountable to prior expectations. The CDC Framework’s emphasis on program description and the construction of a logic model sets the stage for strong goal-based evaluations of programs.

Step 3: Focus the Evaluation Design

Design, synthesis and evaluation of 2-pyrimidinylindole derivatives as anti-obesity agents by regulating lipid metabolism - ScienceDirect.com

Design, synthesis and evaluation of 2-pyrimidinylindole derivatives as anti-obesity agents by regulating lipid metabolism.

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Obtaining quality data will entail tradeoffs (e.g. breadth vs. depth); stakeholders should decide together what is most important to them. Because all data have limitations, the intent of a practical evaluation is to strive for a level of quality that meets the stakeholders' threshold for credibility. Indicators can be broad-based and don't need to focus only on a program's long -term goals. They can also address intermediary factors that influence program effectiveness, including such intangible factors as service quality, community capacity, or inter -organizational relations.

NVivo (version 14, QSR International) was used to performed the qualitative data analysis. Subsequently, a conceptual framework was constructed to demonstrate emerging themes and subthemes together with their relationships. All participants were requested to rate their perceptions of teledentistry before and after participating in the gamified online role-play (Supplementary material 1). The assessment scores would inform whether or not the participants could improve their self-perceived confidence and awareness through a learning activity. The assessment consisted of two parts, which were (1) self-perceived confidence and (2) self-perceived awareness. Each part contained six items, which were similar between the pre- and post-assessments.

Introduction to Randomized Evaluations

In such cases, evaluation planning focuses on the activities; outputs; and short-term, intermediate, and long-term outcomes outlined in a program logic model to direct the measurement activities. Reducing EBLL presumes the house will be cleaned, medical care referrals will be fulfilled, and specialty medical care will be provided. These are transfers of accountability beyond the program to the housing authority, the parent, and the provider, respectively. For provider training to achieve its outcomes, it may presume completion of a three-session curriculum, which is a dosage issue. Case management results in medical referrals, but it presumes adequate access to specialty medical providers. And because lead poisoning tends to disproportionately affect children in low-income urban neighborhoods, many program activities presume cultural competence of the caregiving staff.

Evaluation is a powerful strategy for distinguishing programs and interventions that make a difference from those that don't. It is a driving force for developing and adapting sound strategies, improving existing programs, and demonstrating the results of investments in time and other resources. Depending on what you want to learn, some types of evaluation will be better suited than others.

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Thus, it makes the most sense to assign this task (or at the very least its coordination) to an individual or small group with experience in research and evaluation design. Such a person can not only help you choose among possible designs, but explain what each design entails, in time, resources, and necessary skills, so that you can judge its appropriateness and feasibility for your context. Choosing a design for evaluation presents somewhat of an exception to this policy, since scientific or evaluation partners may have a much clearer understanding of what is required to conduct research, and of the factors that may interfere with it.

The choice of methods has implications for what will count as evidence, how that evidence will be gathered, and what kind of claims can be made. Because each method option has its own biases and limitations, evaluations that mix methods are generally more robust. Drafting questions encourages stakeholders to reveal what they believe the evaluation should answer.