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[https://www.genesis-analytics.com/uploads//downloads/Health-2018-BMC_Public_Health.pdf] - - public:weinreich
behavior_change, HIV_AIDS, quantitative, research - 4 | id:177126 -

Typically, cascades are based on HIV treatment moni-toring data, which focus on getting people living with HIVto a point of viral suppression. HIV prevention cascadesfocus on the steps required to prevent HIV infection andsuccessfully implement HIV prevention programs. Preven-tion cascades include demand-side interventions that focuson increasing awareness, acceptability and uptake of pre-vention interventions, supply-side interventions that makeprevention interventions more accessible and available, andadherence interventions thatsupport ongoing adoption andcompliance with prevention behaviours or products...

[https://uxdesign.cc/user-research-is-more-the-merrier-9ee4cfe46c7a?ref=uxdesignweekly] - - public:weinreich
design, qualitative, quantitative, research, target_audience - 5 | id:177113 -

Small, medium or large — what sample size of users fits your study is a composite question. The magic number of 5 users may work magic in some studies while in some it may not. It depends on the constraints put on by project requirements, assumptions about problem discoverability and implications to the design process. Assess these factors to determine the number of users for your study: What’s the nature and scope of research — is it exploratory or validatory? Who and what kind of users are you planning to study? What’s the budget and time to finish the study? Does your research involve presenting statistically significant numbers or inferring behavioural estimates for the problem statement?

[https://www.qualtrics.com/events/identifying-bad-survey-respondents-attention-check-questions/?ty=mktowr-thank-you&aliId=6002] - - public:weinreich
quantitative, research - 2 | id:168142 -

Lesson: Use "commitment" question instead of attention check questions.

[https://www.axios.com/technical-experts-peers-considered-most-credible-on-social-media-1529288419-5a791be6-9ece-4d7b-9146-196e523c1bd4.html?utm_source=linkedin&utm_medium=lisocialshare&utm_campaign=organic] - - public:weinreich
health_communication, social_media, target_audience - 3 | id:167049 -

Technical experts and their peers are considered the most credible for information on social media, according to the latest 2018 Edelman Trust Barometer survey. By comparison, celebrities, corporate executives and journalists are considered far less credible.

[http://socialmarketing.blogs.com/r_craiig_lefebvres_social/2017/04/social-cognitive-theory-for-social-marketing-research-and-practice.html] - - public:weinreich
behavior_change, theory - 2 | id:79675 -

As social marketers and change agents, our theories drive how we understand and describe problems and propose and test different solutions to them. What is a theory? In science, it is a way in which we think about how the...

[https://psychcentral.com/news/2018/04/03/persuasive-messages-couched-in-emotion-may-backfire/134343.html] - - public:weinreich
behavior_change, health_communication, theory - 3 | id:79664 -

New research finds that people tend toward appeals that aren't simply more positive or negative but are infused with emotionality, even when they're trying to sway an audience that may not be receptive to such language. The findings appear in Psychological Science, a journal of the Association for Psychological Science

[https://sciencebasedmedicine.org/0-05-or-0-005-p-value-wars-continue/] - - public:weinreich
quantitative, research - 2 | id:79662 -

For fields where the threshold for defining statistical significance for new discoveries is P < 0.05, we propose a change to P < 0.005. This simple step would immediately improve the reproducibility of scientific research in many fields. Results that would currently be called “significant” but do not meet the new threshold should instead be called “suggestive.”

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