Healthcare access: A sequence-sensitive approach - ScienceDirect
•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.
Graphics Principles Cheat Sheet v1.0 (pdf)
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.
Time to Scale Psycho-Behavioral Segmentation in Global Development
Why 51% in a survey isn't necessarily a 'majority' | Pew Research Center
If You Say Something Is “Likely,” How Likely Do People Think It Is?
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.
Using a cascade approach to assess condom uptake in female sex workers inIndia
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...
When to Use Which User-Experience Research Methods
User Research: is more the merrier? – UX Collective
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?
Webinar - Identifying and Dealing with "Bad" Survey Respondents: the Role of Attention Check Questions | QualtricsWebinar - Identifying and Dealing with "Bad" Survey Respondents: the Role of Attention Check Questions | Qualtrics
Lesson: Use "commitment" question instead of attention check questions.
MTurk Tutorials for Researchers and Academics
Using Attention Checks in Your Surveys May Harm Data Quality | Qualtrics
Potential Requestor here...what are your reactions to seeing "attention checks"? : mturk
0.05 or 0.005? P-value Wars Continue – Science-Based Medicine
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.”
Inferring App Demand from Publicly Available Data by Rajiv Garg, Rahul Telang :: SSRN
Why Not to Trust Statistics | Math with Bad Drawings
How One Little Number Erodes Trust in Science - Pacific Standard
Behavioral Design: When to Fire a Cannon and When to Use a Precision Knife | Nicolae NAUMOF | LinkedIn
How to Craft an Engaging Narrative with Data | Matt Cooper | LinkedIn
How nonprofits can measure what matters in Google Analytics
How Data Science Shaped This Teen-Counseling-By-Text Service | Co.Exist | ideas impact
How to Conduct a Pretest | The Health COMpass
UNDERSTANDING METRICS Guides - Media Impact Project
Web Metrics, YouTube Basics and Mobile Metrics Guides
The End of Theory: The Data Deluge Makes the Scientific Method Obsolete
Anscombe's quartet - Wikipedia, the free encyclopedia
Anscombe's quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed.
How Wikipedia Data Is Revolutionizing Flu Forecasting | MIT Technology Review
How to Analyze Your Social Media Activities With Excel | Social Media Examiner
The Heart and Soul of Lean Impact: A/B Testing Experiments and Validated Learning | Beth’s Blog
Getting Started With A/B Testing: A Beginner's Guide From the Pros
When numbers can backfire on you
Paine Publishing | Standards Central
Statistical terms used in research studies; a primer for media Journalist's Resource: Research for Reporting, from Harvard Shorenstein Center
The 15 Best Behavioural Science Graphs of 2010-13
Proposing a Survey Instrument for Measuring Operational, Formal, Information, and Strategic Internet Skills
Got Surveys? Recommendations from the Trenches - Occam's Razor by Avinash Kaushik
How Do I Say It With Charts? | Beth’s Blog
A Marketer's Guide to Understanding Statistical Significance
Grammar Girl : How to Write Good Survey Questions :: Quick and Dirty Tips ™
Small ‘neural focus groups’ predict anti-smoking ad campaign success | ISR Sampler
OMG! Texting ups truthfulness, new iPhone study suggests | ISR Sampler
OBSSR e-Source - Behavioral & Social Sciences Research Methodology guide
Survey Question Bank
Metrics for Building, Scaling and Funding Social Movements
The use and abuse of bar graphs - Brendan Nyhan
Why We Need to Avoid Long Surveys
Social Math- from The Office
Also links to a great intro to social math