Sample Size Matters – iOS Behavior Tracking

Sample Size Matters – iOS Behavior Tracking

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When researching user behavior, one key ingredient to keep in mind is that sample size matters. If researchers want to validate their findings a lot of weight is given to sample size because it is intrinsically connected to statistical significance. In short, statistical significance tells you what the probability is, in percentages, of performing the research again and getting the exact same results as your initial research.

Track Your Happiness

Large online research projects are not new. Three years ago I participated in a research project about happiness. The project, TrackYourHappiness, set out to use modern technologies to collect masses amount of data from random panel members from around the world. On their website we read:

Track Your Happiness.org is a new scientific research project that aims to use modern technology to help answer this age-old question. Using this site in conjunction with your iPhone, you can systematically track your happiness and find out what factors – for you personally – are associated with greater happiness. Your responses, along with those from other users of trackyourhappiness.org, will also help us learn more about the causes and correlates of happiness.

The research is still open and you can sign up today.

Here are some results from my latest participation in the project.

Sample Size Matters

Sample Size Matters iconWith Dan Ariely’s latest project, Sample Size Matters, Dan is looking out to the masses of the planet to help him collect behavioral data through the use of iOS apps. On his blog, Dan explains:

By collecting a heaping amount of data (and increasing the size of our samples), we hope to unravel nuances in behavioral variations; we hope to detect the impact of minor differences that simply wouldn’t appear in smaller samples. The pursuit of this app is to collect an abundance of data from an abundance of locations all over the world, shining light on behavioral similarities and differences, from Antarctica to Zimbabwe.

Through this form of crowdsourcing is reaching out to anyone who is willing to help him discover actual behavioral insights.

Learn more about the project or download the iOS app

About Dan Ariely

The Truth about Dishonesty by Dan ArielyDan Ariely is an Israeli American professor of psychology and behavioral economics. He teaches at Duke University and is the founder of The Center for Advanced Hindsight. Ariely’s talks on TED have been watched over 4.8 million times. (source: Wikipedia)

Dan has written several best selling books. His best know book is Predictably Irrational. On June 18th, he released his latest book The Honest Truth About Dishonesty.

On Amazon we read:

From ticket-fixing in our police departments to test-score scandals in our schools, from our elected leaders’ extra-marital affairs to the Ponzi schemes undermining our economy, cheating and dishonesty are ubiquitous parts of our national news cycle—and inescapable parts of the human condition.

Drawing on original experiments and research, in the vein of FreakonomicsThe Tipping Point, and Survival of the Sickest, Ariely reveals—honestly—what motivates these irrational, but entirely human, behaviors.

Another book to add to my ever expanding reading list. Make sure you grab your copy today!

Join my Online Research Panel

Are you interested in participating in research panels? Then please take the time to sign up to my user research panel. As a panel member you will get to experience premium research tools from the participants perspective, and give your opinion during the research itself. Panel members are automatically entered into the prize giveaway which takes place after every research project. Interested? Sign up today.

About Matthew Niederberger

Matthew works as Conversion Optimisation Manager at Ziggo BV. In his free time he enjoys family life as well as digging into online user research material whilst frequently generating some of his own, which he freely shares here on actualinsights.com.

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