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[http://www.bhub.org/] - - public:weinreich
behavior_change, design, professional_resource, research - 4 | id:234038 -

Innovative solutions based on how people act and make decisions in the real world are often buried in academic journals. The Behavioral Evidence Hub (B-Hub) brings them into the light of day. On the B-Hub you’ll find strategies proven to amplify the impact of programs, products, and services—and improve lives. Projects + checklists

[https://faculty.wharton.upenn.edu/wp-content/uploads/2012/04/Williams-fitzsimons-and-block-jcr.pdf] - - public:weinreich
behavior_change, research - 2 | id:234030 -

We demonstrate that the mere-measurement effect occurs because asking an intention question is not perceived as a persuasion attempt. In experiments 1 and 2, we show that when persuasive intent is attributed to an intention question, consumers adjust their behavior as long as they have sufficient cognitive capacity to permit conscious correction. In experiment 3 we demonstrate that this finding holds with product choice and consumption, and we find that persuasionknowledge mediates the effects. In experiment 4, we show that when respondents are educated that an intention question is a persuasive attempt, the behavioral impact of those questions is attenuated.

[https://www.sciencedirect.com/science/article/pii/S2352827316301537?via%3Dihub] - - public:weinreich
behavior_change, quantitative, research - 3 | id:226457 -

•Despite its sequential nature, healthcare seeking is often analysed as single event. •We demonstrate the value of sequential healthcare data analysis. •Descriptive analysis exposes otherwise neglected behavioural patterns. •Sequence-insensitive indicators can be inconsistent and misleading. •Sequence-sensitive evaluation hints at adverse behaviours of wealthy patients.

[https://medium.com/dropbox-design/breakups-space-travel-and-design-research-b0a1645724c2?ref=uxdesignweekly] - - public:weinreich
creativity, design, qualitative, research - 4 | id:226318 -

At Dropbox, we’ve found that metaphors are a powerful tool to help people explore and share their experiences in more creative and meaningful ways. We use metaphors in research so people can talk about their experiences through a different lens. We can do this simply by inviting people to make a comparison through a single question. Or we can facilitate entire interviews by using tools to symbolize and explore meaning together.

[https://www.psiweb.org/docs/default-source/2018-psi-conference-posters/48-julie-jones.pdf?sfvrsn=cb68dedb_4] - - public:weinreich
graphic_design, quantitative, research - 3 | id:226195 -

Effective visualizations communicate complex statistical and quantitative information facilitating insight, understanding, and decision making. But what is an effective graph? This cheat sheet provides general guidance and points to consider.

[https://www.news.com.au/lifestyle/food/drink/mountain-dew-just-made-an-epic-advertising-fail-in-scotland/news-story/a3a3576efdc0a0ca56c2bc5d07a0872f#.jhrhv] - - public:weinreich
health_communication, online_marketing, research, target_audience - 4 | id:186610 -

Unfortunately for Mountain Dew The Scotsman didn’t include the fact that “chug” means “masturbation” in this particular part of the UK. And now, as Vice reports, the soft drink brand is being mercilessly ripped on Twitter for inadvertently telling everyone that they’re chronic masturbators. On Monday the company tweeted a .gif of a guy madly downing a bottle of Mountain Dew, with the slogan “epic thrills start with a chug”.

[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://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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