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?
29 videos of sessions on behavior change
Lesson: Use "commitment" question instead of attention check questions.
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.
A 'one size fits all' approach is often the fundamental flaw of these programs, say Wharton and Penn researchers.
Podplays that you listen to while riding the NYC subway
Start - Stop - Continue
The Viral Video Toolkit for Nonprofits A Step-by-Step Guide to Creating Contagious Content for Social Good
Spiderman sketch in 10 min, 1 min, 10 sec
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...
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
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.”
By eliminating just one word from your writing you can automatically avoid a major communication pitfall. The word? Not. Cut the Not!