Ten Item Personality Inventory (TIPI) and Results Interpretation

This is meant to be a quick assessment for the Big Five personality traits currently favoured by academic psychology (Conscientiousness, Agreeableness, Neuroticism, Openness, and Extraversion – CANOE or OCEAN). Supposedly, it has excellent reliability and validity to measure someone’s Big Five results compared to the 240 question Revised NEO Personality Inventory (NEO PI-R), developed by Paul Costa and Robert R. McCrae. Of course, the TIPI is more prone to error than the NEO PI-R, but it is ideal for those who don’t have the time or the resource to do the NEO PI-R, and might be a good introduction for the CANOE theory and how you fare with it.

Continue reading

NAVA New American City Flags Survey Results Visualization

A few days ago, the North American Vexillological Association (NAVA) released results from their New (since 2015) American City Flags Survey to media in the 312 cities who had flags in the survey. They also released the results to select other media outlets they have relationships with for decades. Supporting this news release was a data visualization I did to show the full results in an interactive way, including images of the flags discussed.

NAVA New American City Flags Survey Results Viz

Continue reading

March Madness Drove Me Mad This Year

https://digitalcitizen.ca/category/writing/Back on March 19th, I wrote about some ways which I processed some NCAA Men’s Basketball data to make predictions for the crazy March Madness tournament, bragging about how well I had done with my analysis most years, beating former President Obama’s Barackets almost all the time, and all. Well, it seems I had really jinxed myself because this year’s March Madness results were so unpredictable that just picking by tournament seedings exactly as they were landed you in the top ten percentile! In other years, you’d be about middle of the pack. That’s because the upsets this year were so generally unpredictable that those looking to find upsets often got stung by getting many wrong, but then also stung by getting many expected winners wrong! Double-whammy, if you will!

Continue reading

I Had a Dream

For more writings on this blogSupposedly, we dream four to six times per night. Remembering, them, though, is a different matter. I’m not talking about remembering them in super details, or a long time. I’m just talking about realizing you had a dream when you wake up, whether you could only say a few words about it like something that was involved, or describe it in detail. For dream memory, the going rate seems to be one or twice a week, though the distribution is rather diverse, which is why the rate is once or twice, a 100% margin of error essentially. That’s all great to know, but it has no context for the individual, like me. As a result, with my daily activities tracker that I use to track my performance towards my many resolutions, I had decided to track my dreaming as well.

Continue reading