Skip to main content

A request from the blogger

I am going up for both Rank and Tenure this fall.

Within my applications for both, I will argue that this blog constitutes service to my profession.

I have evidence of this: The blog has 50,000+ page views from 115 countries. I have 271 Twitter followers. So, I can successfully argue that someone other than my dad is reading the blog (Hi, Dad!).

However, I think that more compelling evidence of service to my profession would come in the form of brief testimonials from its readers. If you have a few free moments, please consider writing a brief email that describes, maybe, your favorite blog post, why you enjoy this blog, how you think this blog contributes to the teaching of statistics and research methods, or mention a specific blog post or two that you've integrated into your own class. Do you students seem to enjoy any of the materials I've shared here? Have you recommended the blog to peers? You get the idea.

Think you can help me out? If so, please shoot me an email to hartnett004@gannon.edu. You will be rewarded in...Rank and Tenure karma? My gratitude? Definitely my gratitude.

Thanks for reading,

Jess
Labels:

Comments

  1. MehfilJune 13, 2015 at 3:26 PM

    Hi Jessica,
    Actually this is my first time on your blog. I'll skim through your posts and surely help you once I have some free time. Congrats on achieving those stats.
    Cheers!

    ReplyDelete
    Replies
    1. Jessica HartnettJuly 9, 2015 at 8:26 AM

      Thanks for the kind offer. I hope you find this blog useful in your teaching!

      Delete

Post a Comment

Popular posts from this blog

Ways to use funny meme scales in your stats classes

Have you ever heard of the theory that there are multiple people worldwide thinking about the same novel thing at the same time? It is the multiple discovery hypothesis of invention . Like, multiple great minds around the world were working on calculus at the same time. Well, I think a bunch of super-duper psychology professors were all thinking about scale memes and pedagogy at the same time. Clearly, this is just as impressive as calculus. Who were some of these great minds? 1) Dr.  Molly Metz maintains a curated list of hilarious "How you doing?" scales.  2) Dr. Esther Lindenström posted about using these scales as student check-ins. 3) I was working on a blog post about using such scales to teach the basics of variables.  So, I decided to create a post about three ways to use these scales in your stats classes:  1) Teaching the basics of variables. 2) Nominal vs. ordinal scales.  3) Daily check-in with your students.  1. Teach your students the basics...
Post a Comment
Read more

Using pulse rates to determine the scariest of scary movies

  The Science of Scare project, conducted by MoneySuperMarket.com, recorded heart rates in participants watching fifty horror movies to determine the scariest of scary movies. Below is a screenshot of the original variables and data for 12 of the 50 movies provided by MoneySuperMarket.com: https://www.moneysupermarket.com/broadband/features/science-of-scare/ https://www.moneysupermarket.com/broadband/features/science-of-scare/ Here is my version of the data in Excel format . It includes the original data plus four additional columns (so you can run more analyses on the data): -Year of Release -Rotten Tomato rating -Does this movie have a sequel (yes or no)? -Is this movie a sequel (yes or no)? Here are some ways you could use this in class: 1. Correlation : Rotten Tomato rating does not correlate with the overall scare score ( r = 0.13, p = 0.36).   2. Within-subject research design : Baseline, average, and maximum heart rates are reported for each film.   3. ...
Post a Comment
Read more

If your students get the joke, they get statistics.

Gleaned from multiple sources (FB, Pinterest, Twitter, none of these belong to me, etc.). Remember, if your students can explain why a stats funny is funny, they are demonstrating statistical knowledge. I like to ask students to explain the humor in such examples for extra credit points (see below for an example from my FA14 final exam). Using xkcd.com for bonus points/assessing if students understand that correlation =/= causation What are the numerical thresholds for probability?  How does this refer to alpha? What type of error is being described, Type I or Type II? What measure of central tendency is being described? Dilbert: http://search.dilbert.com/comic/Kill%20Anyone Sampling, CLT http://foulmouthedbaker.com/2013/10/03/graphs-belong-on-cakes/ Because control vs. sample, standard deviations, normal curves. Also,"skewed" pun. If you go to the original website , the story behind this cakes has to do w...
1 comment
Read more