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[https://www.linkedin.com/pulse/behaviour-change-101-how-do-rapid-review-peter-slattery/?trackingId=8W1tltMFgBAVWsXDraHUHw%3D%3D] - - public:weinreich
academia, quantitative, research - 3 | 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://conjointly.com/kb/nonequivalent-groups-analysis/] - - public:weinreich
quantitative, research - 2 | id:350192 -

The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory undergraduate or graduate course in social research methods. It covers the entire research process including: formulating research questions; sampling (probability and nonprobability); measurement (surveys, scaling, qualitative, unobtrusive); research design (experimental and quasi-experimental); data analysis; and, writing the research paper. It also addresses the major theoretical and philosophical underpinnings of research including: the idea of validity in research; reliability of measures; and ethics.

[https://docs.google.com/document/d/1clGjGABB2h2qbduTgfqribHmog9B6P0NvMgVuiHZCl8/mobilebasic?fbclid=IwAR2CvGMxxgs8GV9ACTquyG0TRAc_0XB6Tolf4FHnW-wCQ_ADZhqtx5pGZVg] - - public:weinreich
ethics, research - 2 | id:309996 -

Isolation measures to contain the spread of COVID-19 means that social researchers who have for doing fieldwork in a pandemic - specifically, ideas for avoiding in-person interactions by using mediated forms that will achieve similar ends. Social research has been conducted online for many years, of course. There are many examples of using online survey tools or doing content analyses or ethnographies using existing online interactions as research materials. Interviews have been conducted by phone or Skype for a long time. This document was initially directed at ways for how to turn fieldwork that was initially planned as using face-to-face methods into a more ‘hands-off’ mode. However, people have added useful material about ‘born digital’ research (content already generated on the internet by online interactions), which provides an alternative source of social research materials if researchers decide to go down that path.

[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

[https://www.fsnnetwork.org/behavior-bank] - - public:weinreich
behavior_change, nutrition, qualitative, research - 4 | id:293007 -

The Food Security and Nutrition Network Behavior Bank features results from Barrier Analysis and Doer/NonDoer Studies conducted by food security and other practitioners globally. (Click here for a description of Barrier Analysis.) You can browse the database by country, region, and behavior studied to look for results for a particular area/behavior, or to look for patterns of barrier and enablers for a particular behavior or set of behaviors.

[https://ethn.io/incentives/calculator?ref=uxdesignweekly] - - public:weinreich
research - 1 | id:283091 -

Calculate appropriate amount of incentives for research participants by country, cost of living, type of research, time to complete, etc.

[https://www.nature.com/articles/s41562-020-0818-9?WT.ec_id=NATHUMBEHAV-202001&mkt-key=005056B0331B1ED782F5E028C8C89C2C&sap-outbound-id=DE998B2EB6C2788D6E52B117E719376B45B763A0] - - public:weinreich
research, storytelling - 2 | id:279081 -

Every research paper tells a story, but the pressure to provide ‘clean’ narratives is harmful for the scientific endeavour.

[https://hxldash.com/] - - public:weinreich
graphic_design, international, quantitative, research - 4 | id:277148 -

HXLDash is a dashboard and online mapping tool designed for humanitarians and humanitarian contexts. HXLDash's aim is to make creating dashboards possible in less than 2 minutes by leveraging the power of the Humanitarian Exchange Language and linking to the common operation datasets.

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