yabs.io

Yet Another Bookmarks Service

Search

Results

[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://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://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://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://www.nngroup.com/articles/ux-mapping-cheat-sheet/] - - public:weinreich
design, how_to, research - 3 | id:1276582 -

Empathy maps, customer journey maps, experience maps, and service blueprints depict different processes and have different goals, yet they all build common ground within an organization.

[https://www.nngroup.com/articles/cognitive-walkthrough-workshop/?utm_source=Alertbox&utm_campaign=27cc444eff-EMAIL_CAMPAIGN_2020_11_12_08_52_COPY_01&utm_medium=email&utm_term=0_7f29a2b335-27cc444eff-24361717] - - public:weinreich
design, evaluation, how_to, research - 4 | id:1080276 -

A cognitive walkthrough is a technique used to evaluate the learnability of a system. Unlike user testing, it does not involve users (and, thus, it can be relatively cheap to implement). Like heuristic evaluations, expert reviews, and PURE evaluations, it relies on the expertise of a set of reviewers to assess the interface. Although cognitive walkthroughs can be conducted by an individual, they are designed to be done as part of a group in a workshop setting where evaluators walk through a task in a highly structured manner from a new user’s point of view.

[https://ucl.scienceopen.com/hosted-document?doi=10.14324/111.444/000117.v1] - - public:weinreich
behavior_change, consulting, design, environment, how_to, inspiration, research, social_network, strategy - 9 | id:1022051 -

Method:Three participatory workshops were held with the independent Welsh residential decarbonisation advisory group(‘the Advisory Group’)to (1)maprelationships betweenactors, behavioursand influences onbehaviourwithin thehome retrofitsystem,(2)provide training in the Behaviour Change Wheel framework(3)use these to developpolicy recommendationsfor interventions. Recommendations were analysed usingthe COM-B (capability, opportunity, motivation) model of behaviourtoassesswhether they addressed these factors. Results:Twobehavioural systems mapswere produced,representing privately rented and owner-occupied housing tenures. The main causal pathways and feedback loops in each map are described.

[https://twitter.com/jeroenbosman/status/1485003119184470016/photo/1] - - public:weinreich
bibliography, how_to, research - 3 | id:999520 -

People regularly ask me how to perform a systematic *web* search. Finally found some time to organize my ad hoc tips and relate these to steps in a systematic scholarly search. Despite the options, web search will remain less controlled and a fuzzy patchwork.

[https://www.linkedin.com/pulse/want-make-impact-you-say-we-have-likelihood-tip-/?trackingId=GNCUnmVqItS2PaI%2FCeBlTg%3D%3D] - - public:weinreich
behavior_change, how_to, research, strategy - 4 | id:958747 -

That’s why we’ve developed an evidence-based approach to identifying and prioritising the most suitable behaviour(s) to address a problem: The Impact-Likelihood Matrix (ILM), developed by our very own Sarah Kneebone. By undertaking a rigorous investigation of the literature and audience research, our technique ensures that the behaviour(s) you choose to target for your intervention or policy will have the highest likelihood of driving the change you are seeking.

[https://psyarxiv.com/wr74t] - - public:weinreich
how_to, research, social_media - 3 | id:958562 -

This toolkit outlines broad concepts of branding, post design, and post management. It also provides details, suggestions, and tips on how to create an account, gain a following, increase engagement, and more on both Facebook and Instagram. . Lastly, it details the process of using paid Facebook and Instagram advertisements for research purposes (i.e., recruiting participants).

[https://www.meta-analysis-learning-information-center.com/] - - public:weinreich
evaluation, how_to, quantitative, research - 4 | id:958540 -

The Meta-Analysis Learning Information Center (MALIC) believes in equitably providing cutting-edge and up-to-date techniques in meta-analysis to researchers in the social sciences, particularly those in education and STEM education.

[https://bootcamp.uxdesign.cc/com-b-experience-mapping-a-design-thinking-love-story-f09e3403495] - - public:weinreich
behavior_change, design, how_to, research, strategy - 5 | id:802634 -

In their maturity, the fields of experience strategy and behavior change design are moving past the casual flirtations of two complementary knowledge domains into a full fledged partnership: when we marry the design of behavioral interventions and the design of experiences, there’s a special power in combining the myriad frameworks from both domains. This becomes especially effective when the goal is not just to identify pain points in an existing experience journey or illustrate an ideal future one — but to make actionable recommendations that will help clients make the leap from actual to ideal.

[https://osf.io/m25qp/] - - public:weinreich
government, how_to, policy, research - 4 | id:802625 -

Effective communication between academics and policy makers plays an important role in informing political decision making and creating impact for researchers. Policy briefs are short evidence summaries written by researchers to inform the development or implementation of policy. This guide has been developed to support researchers to write effective policy briefs. It is jointly produced by the NIHR Policy Research Unit in Behavioural Science (BehSciPRU) and the UCL Centre for Behaviour Change (CBC). It has been written in consultation with policy advisers and synthesises current evidence and expert opinion on what makes an effective policy brief. It is for any researcher who wishes to increase the impact of their work by activity that may influence the process of policy formation, implementation or evaluation. Whilst the guide has been written primarily for a UK audience, it is hoped that it will be useful to researchers in other countries.

[https://rightquestion.org/what-is-the-qft/] - - public:weinreich
how_to, research, strategy - 3 | id:788307 -

Developed by the Right Question Institute, the Question Formulation Technique, or QFT, is a structured method for generating and improving questions. It distills sophisticated forms of divergent, convergent, and metacognitive thinking into a deceptively simple, accessible, and reproducible technique. The QFT builds the skill of asking questions, an essential — yet often overlooked — lifelong learning skill that allows people to think critically, feel greater power and self-efficacy, and become more confident and ready to participate in civic life.

[https://www.linkedin.com/pulse/behaviour-change-101-how-do-rapid-review-peter-slattery/?trackingId=8W1tltMFgBAVWsXDraHUHw%3D%3D] - - public:weinreich
academia, how_to, quantitative, research - 4 | id:351907 -

In our work at BehaviourWorks Australia (BWA) we are frequently asked ‘What does the research say about getting audience Y to do behaviour X?’. When our partners need an urgent answer we often provide it using a Rapid Review. In this article I explain Rapid Reviews, why you should do them, and a process that you can follow to conduct one. What is a Rapid Review? Rapid Reviews are “a form of knowledge synthesis in which components of the systematic review process are simplified or omitted to produce information in a timely manner” [1]. Indeed, with sufficient resources (e.g., multiple staff working simultaneously) you can do a Rapid Review in less than a day. The outputs of these reviews are, of course, brief and descriptive, but they can be very useful where rapid evidence is needed, for example, in addressing COVID-19. Rapid Reviews can therefore provide detailed research within reduced timeframes and also meet most academic requirements by being standardised and reproducible. They are often, but not always, publishable in peer-reviewed academic journals.

[https://www.comminit.com/health/content/facilitation-guide-integrated-evaluation-methodology-most-significant-change-and-photovo?utm_medium=email&utm_campaign=drumbeat784&utm_content=facilitation-guide-integrated-evaluation-methodology-most-significant-ch] - - public:weinreich
behavior_change, evaluation, how_to, research - 4 | id:350257 -

[https://cbail.github.io/textasdata/Text_as_Data.html?fbclid=IwAR1Nl93wTvZlhmVdifK_-I91viDfkH1R69rGwSzE2wM__OOVT_w3mJatgvI] - - public:weinreich
how_to, qualitative, quantitative, research, social_media, twitter - 6 | id:309754 -

This class covers a range of different topics that build on top of each other. For example, in the first tutorial, you will learn how to collect data from Twitter, and in subsequent tutorials you will learn how to analyze those data using automated text analysis techniques. For this reason, you may find it difficult to jump towards one of the most advanced issues before covering the basics. Introduction: Strengths and Weaknesses of Text as Data Application Programming Interfaces Screen-Scraping Basic Text Analysis Dictionary-Based Text Analysis Topic Modeling Text Networks Word Embeddings

Follow Tags


Export:

JSONXMLRSS