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[https://indiyoung.com/explanations-thinking-styles/] - - public:weinreich
behavior_change, design, how_to, research, target_audience - 5 | id:1489368 -

Thinking Styles are the archetypes that you would base characters on, like characters in TV episodes. (Try writing your scenarios like TV episodes, with constant characters.) Characters think, react, and made decisions based on their thinking style archetype. BUT they also switch thinking styles depending on context. For example, if you take a flight as a single traveler versus bringing a young child along–you’ll probably change your thinking style for that flight, including getting to the gate, boarding, and deplaning.

[https://courses.aimforbehavior.com/free-behavior-and-innovation-frameworks] - - public:weinreich
theory, strategy, design, behavior_change, how_to - 5 | id:1489294 -

Free Behavior Design, Innovation and Change Tools These frameworks started out as internal tools we would use on client projects at Aim For Behavior, that would help us save time and create better outcomes for the customers and the companies we were working with. We are always adding more frameworks or iterating the current ones based on the feedback.

[https://towardsdatascience.com/ditch-statistical-significance-8b6532c175cb] - - public:weinreich
campaign_effects, evaluation, health_communication, how_to, quantitative, research - 6 | id:1484440 -

“significant” p-value ≠ “significant” finding: The significance of statistical evidence for the true X (i.e., statistical significance of the p-value for the estimate of the true X) says absolutely nothing about the practical/scientific significance of the true X. That is, significance of evidence is not evidence of significance. Increasing your sample size in no way increases the practical/scientific significance of your practical/scientific hypothesis. “significant” p-value = “discernible” finding: The significance of statistical evidence for the true X does tell us how well the estimate can discern the true X. That is, significance of evidence is evidence of discernibility. Increasing your sample size does increase how well your finding can discern your practical/scientific hypothesis.

[https://www.mdpi.com/2227-7080/10/6/110] - - public:weinreich
behavior_change, design, how_to - 3 | id:1484414 -

Nudging provides a way to gently influence people to change behavior towards a desired goal, e.g., by moving towards a healthier or more environmentally friendly lifestyle. Personalized and context-aware digital nudging (named smart nudging) can be a powerful tool for efficient nudging by tailoring nudges to the current situation of each individual user. However, designing smart nudges is challenging, as different users may need different supports to improve their behavior. Determining the next nudge for a specific user must be done based on the user’s current situation, abilities, and potential for improvement. In this paper, we focus on the challenge of designing the next nudge by presenting a novel classification of nudges that distinguishes between (i) nudges that are impossible for the user to follow, (ii) nudges that are unlikely to be followed, and (iii) probable nudges that the user can follow. The classification is tailored to individual users based on user profiles, current situations, and knowledge of previous behaviors. This paper describes steps in the nudge design process and a novel set of principles for designing smart nudges.

[https://sparck.io/journal/how-content-design-can-serve-international-or-mixed-language-groups] - - public:weinreich
health_communication, how_to, international, target_audience - 4 | id:1484402 -

Linguistic accessibility is important because people in a group often speak more than one language with various degrees of confidence. People also use different varieties of the same language or create their own variety. The way a language develops in a multilingual group reflects what people need and want to communicate.

[https://www.oecd.org/gov/regulatory-policy/BASIC-Toolkit-web.pdf] - - public:weinreich
behavior_change, ethics, how_to - 3 | id:1484400 -

The toolkit presented here guides the policy maker through a methodology that looks at Behaviours, Analysis, Strategies, Interventions, and Change (abbreviated “BASIC”). It starts with a BASIC guide that serves as an indispensable and practical introduction to the BASIC manual.

[https://universaldesignguide.com/] - - public:weinreich
consulting, design, how_to, research - 4 | id:1483993 -

This Universal Design Playbook was created with the purpose of providing easy access to planning and facilitating universal design development work, whether it is short workshops or longer work sessions. That comes entirely down to what the user selects using the sorting functions on the page. The Playbook contains a collection of methods that can be used in any design process. Each method contains useful information so the user can be certain that they are selecting the most appropriate method to fulfil their purpose. The methods also include tips for how to accommodate participants with diverse abilities to ensure that everyone feels included in a workshop setting no matter what they are capable of.

[https://www.who.int/publications/i/item/9789240075658] - - public:weinreich
health_communication, how_to, research, social_media - 4 | id:1477340 -

This manual provides a quick overview of the steps required to develop an infodemic insights report that can be used during an emergency response or for routine health programming (where so-called low-level infodemics may be more common). The steps are: 1. Choose the question that infodemic management insights could help to answer 2. Identify and select the data sources and develop an analysis plan for each data source 3. Conduct an integrated analysis across those data sources 4. Develop strategies and recommendations 5. Develop an infodemic insights report 6. Disseminate the infodemic insights report and track the actions taken.

[https://journals.sagepub.com/doi/10.1177/1090198106297855?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed] - - public:weinreich
behavior_change, how_to, social_norms, strategy, target_audience - 5 | id:1461410 -

This article reviews 10 techniques used to identify opinion leaders to promote behavior change. Opinion leaders can act as gatekeepers for interventions, help change social norms, and accelerate behavior change. Few studies document the manner in which opinion leaders are identified, recruited, and trained to promote health. The authors categorize close to 200 studies that have studied or used opinion leaders to promote behavior change into 10 different methods. They present the advantages and disadvantages of the 10 opinion leader identification methods and provide sample instruments for each. Factors that might influence programs to select one or another method are then discussed, and the article closes with a discussion of combining and comparing methods.

[https://medium.com/uxr-content/your-personas-probably-suck-heres-how-you-can-build-them-better-b2b32a45c93b] - - public:weinreich
design, how_to, research, target_audience - 4 | id:1414218 -

A five-step framework In summary, the five steps that we will walk you through are: Ask rich questions, not dumb questions Write a codebook Code your data Map your data Form your personas

[https://journals.sagepub.com/doi/full/10.1177/0022242919825649] - - public:weinreich
behavior_change, design, environment, how_to - 4 | id:1378000 -

Highlighting the important role of marketing in encouraging sustainable consumption, the current research presents a review of the academic literature from marketing and behavioral science that examines the most effective ways to shift consumer behaviors to be more sustainable. In the process of the review, the authors develop a comprehensive framework for conceptualizing and encouraging sustainable consumer behavior change. The framework is represented by the acronym SHIFT, and it proposes that consumers are more inclined to engage in pro-environmental behaviors when the message or context leverages the following psychological factors: Social influence, Habit formation, Individual self, Feelings and cognition, and Tangibility. The authors also identify five broad challenges to encouraging sustainable behaviors and use these to develop novel theoretical propositions and directions for future research. Finally, the authors outline how practitioners aiming to encourage sustainable consumer behaviors can use this framework.

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