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[http://journals.sagepub.com/doi/abs/10.1177/0013916511402673] - - public:weinreich
behavior_change, environment, evaluation - 3 | id:186975 -

To provide practitioners with useful information about how to promote proenvironmental behavior (PEB), a meta-analysis was performed on 87 published reports containing 253 experimental treatments that measured an observed, not self-reported, behavioral outcome. Most studies combined multiple treatments, and this confounding precluded definitive conclusions about which individual treatments are most effective. Treatments that included cognitive dissonance, goal setting, social modeling, and prompts provided the overall largest effect sizes (Hedge’s g > 0.60).

[https://www.fastcompany.com/90176846/the-magic-number-of-people-needed-to-create-social-change] - - public:weinreich
behavior_change, social_change, social_norms - 3 | id:186807 -

A new study published in Science has quantified the number of people who need to take a stand before they can affect societal change on important topics like sexual harassment and human rights. And that number? It’s a mere 25% of any group. Only 25% of people need to adopt a new social norm to create an inflection point where everyone in the group follows.

[https://www.nature.com/articles/s41746-018-0031-7%C2%A0] - - public:weinreich
advertising, behavior_change, online_marketing, social_media - 4 | id:186806 -

Our results show that 48% of people who were exposed to the ads made future searches for weight loss information, compared with 32% of those in the control group—a 50% increase. The advertisements varied in efficacy. However, the effectiveness of the advertisements may be greatly improved by targeting individuals based on their lifestyle preferences and/or sociodemographic characteristics, which together explain 49% of the variation in response to the ads. These results demonstrate that online advertisements hold promise as a mechanism for changing population health behaviors.

[https://www.alterspark.com/blog/claim-1-takes-21-days-form-habit] - - public:weinreich
behavior_change, strategy, theory - 3 | id:186802 -

From my own experience, there appears to be a scientific trend (that I have not systematically evaluated) that successful behavior change programs tend to run for approximately 2-months, and that after this point, there is a large drop in adherence and impact. The big statistical meta-analysis that I carried out a few years back (http://www.jmir.org/2011/1/e17/), showed that online programs lasting more than 4 months, all failed. So as a rule of thumb, for most general purposes, 8-weeks is not a bad approximate time duration for many programs.

[https://keeptothepath.com/2018/07/19/understanding-how-messaging-is-perceived-by-the-public-through-a-new-theoretical-model/] - - public:weinreich
behavior_change, environment, health_communication, theory - 4 | id:186788 -

The results lead to some useful messaging recommendations, such as active publics being more effectively moved to action through motivational frames, rather than diagnostic (i.e. problem-focused) or prognostic (i.e. solution-focused) frames.

[https://yougov.co.uk/news/2018/10/02/how-good-good/] - - public:weinreich
health_communication - 1 | id:186784 -

YouGov showed respondents a selection of adjectives from a list of 24 and asked them to score each on a scale from 0-10, with 0 being “very negative” and 10 being “very positive”. Compared US and UK.

[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://behavioralscientist.org/last-mile-lawyer-economist-a-marketer-behavioral-scientist-go-into-a-bar/] - - public:weinreich
behavior_change, design, policy, theory - 4 | id:177179 -

The table below provides guidance for thinking through when specific policy tools are useful and when choice architecture or nudging can be used to complement or enhance a particular strategy.

[https://hbr.org/2018/07/if-you-say-something-is-likely-how-likely-do-people-think-it-is] - - public:weinreich
health_communication, quantitative - 2 | id:177131 -

The next time you find yourself stating that a deal or other business outcome is “unlikely” or, alternatively, is “virtually certain,” stop yourself and ask: What percentage chance, in what time period, would I put on this outcome? Frame your prediction that way, and it’ll be clear to both yourself and others where you truly stand.

[http://www.impactbydesigninc.org/diffusion-of-innovation] - - public:weinreich
behavior_change, how_to, organization, social_change, theory - 5 | id:177130 -

If you or a small group of colleagues are the ones trying to bring a new practice to your organization, you are an innovator. You are inspired by a new practice you discovered, but will likely face problems getting it accepted. Consider that the challenges you experience when spreading a new practice are totally normal. It doesn’t mean you are failing, should stop trying, or there is anything “wrong” with staff and colleagues. It just means that your role is to plan how to motivate other members of the system

[https://www.inc.com/jessica-stillman/a-behavioral-scientist-explains-how-to-deal-with-people-who-believe-things-that-are-just-not-true.html?cid=sf01001&sr_share=twitter] - - public:weinreich
behavior_change, health_communication - 2 | id:177128 -

You need to show the other party that his beliefs are actually in conflict with his own values and goals, all without making him defensive. It sounds like a tall order, but Tsipurksy insists it is possible. Offering concrete examples of people who have changed their minds can help. So can suggesting that a person's previous opinion was understandable given the information he or she had at the time.

[https://www.liveworkstudio.com/monthly-magazines/nudges-arent-the-holy-grail-of-behaviour-change/] - - public:weinreich
behavior_change, design - 2 | id:177127 -

Sometimes it’s necessary to override the subconscious, and switch customers to a conscious state of having to make a decision. Rational override interventions prompt moments of reflection and stimulate customers to be active, aware and engaged. Although friction is generally perceived as a barrier, some situations require a micro moment of friction, carefully built-in at the right moment.

[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?

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