Logic model

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Names in other languages

  • עבריתמודל (לוגיקה מתמטית)
  • EnglishLogic model

Article bodies are English and are not machine-translated. A name in another language is not a translation of the article.

A logic model is a hypothesized description of the causal chains in certain plans, used to show social programs and the results desired from them. They lead from inputs to outputs and then outcomes. Logic models can be considered a visualization of the relationship between actions and change in the area being evaluated. A basic narrative logic model is as follows: Input: teachers trained in child asthma; Output: children develop better skills to deal with asthma; Outcome: asthmatic children are healthier. Logic models are typically used in professional settings; however, they can be relevant outside of the workplace for personal projects. Logic models usually take the form of a graphical depiction of the "if-then" causal relationships between the various elements leading to the outcome, but they are rarely presented in narrative form. The core of a logic model is the graphical or narrative depiction, but it also comprises relevant theories, evidence, assumptions, and beliefs that support the model and the various underlying processes. Logic models are implemented by administrative staff in a workplace to plan and execute interventions, schemes, and programs. They are typically employed in the public sector, but are also prevalent in private firms, where they are used to organize and conduct literature reviews or for employee training purposes.…

A logic model is a hypothesized description of the causal chains in certain plans, used to show social programs and the results desired from them. They lead from inputs to outputs and then outcomes. Logic models can be considered a visualization of the relationship between actions and change in the area being evaluated. A basic narrative logic model is as follows: Input: teachers trained in child asthma; Output: children develop better skills to deal with asthma; Outcome: asthmatic children are healthier. Logic models are typically used in professional settings; however, they can be relevant outside of the workplace for personal projects. Logic models usually take the form of a graphical depiction of the "if-then" causal relationships between the various elements leading to the outcome, but they are rarely presented in narrative form. The core of a logic model is the graphical or narrative depiction, but it also comprises relevant theories, evidence, assumptions, and beliefs that support the model and the various underlying processes. Logic models are implemented by administrative staff in a workplace to plan and execute interventions, schemes, and programs. They are typically employed in the public sector, but are also prevalent in private firms, where they are used to organize and conduct literature reviews or for employee training purposes. The domains of application for logic models are various; waste management, poultry inspection, business education, and heart disease and stroke prevention are a few common examples. Since they are used in many contexts for different purposes, the typical components, complexity, and levels of detail in logic models vary depending on the literature in which they are found (compare for example the W.K. Kellogg Foundation presentation of the logic model, mainly aimed for evaluation, with the numerous types of logic models found in the intervention mapping framework ). ===Program planning=== One of the most important uses of the logic model is for program planning. The logic model is used to focus on the intended outcomes of a particular program. The guiding questions change from "what is being done?" to "what needs to be done?" McCawley suggests that, by using this new reasoning, a logic model for a program can be built by asking the following questions in sequence: What is the current situation that we intend to impact? What will it look like when we achieve the desired situation or outcome? What behaviors need to change for that outcome to be achieved? What knowledge or skills do people need before the behavior changes? What activities need to be performed to produce the necessary learning? What resources will be required to achieve the desired outcome? By placing the focus on ultimate outcomes or results, planners can think backward through the logic model to identify how best to achieve them. Here, it helps managers to 'plan with the end in mind', rather than just consider inputs (e.g., budgets, employees) or the tasks that must be done. Testing the logic of the model is an important step in development. If there is something the program wants to include, how will it be done? This should link to an earlier step in the logic model. ===Evaluation=== The logic model is often used in government or not-for-profit organizations, where the mission and vision are not focused on achieving financial benefit. Traditionally, government programs were described only in terms of their budgets. It is easy to measure the amount of money spent on a program, but this is a poor indicator of outcomes. Likewise, it is relatively easy to measure the amount of work done (e.g. number of workers or number of years spent), but the workers may have just been 'spinning their wheels' without achieving meaningful results. However, the nature of outcomes varies. To measure progress toward outcomes, some initiatives may require an ad hoc measurement instrument. In addition, in programs such as in education or social programs, outcomes are usually long-term and may requires numerous intermediate changes (attitudes, social norm, industry practices, etc.) to advance progressively toward them. By making the intended outcomes and the causal pathways leading to them clear, a program logic model provides the basis upon which planners and evaluators can develop a measurement plan and appropriate instruments. Instead of only looking at outcome progress, planners can open the "black box" and examine whether the intermediate outcomes progress as planned. In addition, the pathways of numerous outcomes are still largely misunderstood due to their complexity, unpredictability, and lack of scientific or practical evidence. Therefore, with proper research design, one may not only assess the progress of intermediate outcomes but also evaluate whether the program theory of change is accurate, i.e., whether successful change in an intermediate outcome provokes the hypothesized subsequent effects in the causal pathway. Finally, outcomes may be achieved through processes independent of the program, and an evaluation of those outcomes may suggest program success when, in fact, external outputs were responsible. ==See also== Theory of change Backcasting Critical theory Scenario planning Thought experiment

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