Skip to main content

Public Religion Research Institute's “I Know What You Did Last Sunday” Finds Americans Significantly Inflate Religious Participation"

A study performed by The Public Religion Research Institute used either a) a telephone survey or b) an anonymous web survey to question people about their religious beliefs and religious service habits. The researchers found that the telephone participants reported higher rates of religious behaviors and greater theistic beliefs.

The figure below, from a New York Times summary of the study, visualizes the main findings. The NYT summary also provides figures illustrating the data broken down by religious denomination.

Property of the New York Times
Participants also vary in their reported religious beliefs based on how they are surveyed (below, the secular are more likely to report that they don't believe in God when completing an anonymous online survey).

Property of Public Religion Research Institute

 This report could be used in class to discuss psychometrics, sampling, motivation to lie on surveys, social desirability, etc. Additionally, the source article provides a good literature review on various ways to "count" religious behavior, including going to churches and counting the people in the pews as well as framing such questions as to take the focus away from religion (ironically, in hopes of prompting more honest answers).

It might also be interesting to ask students to generate a list of other sensitive topics about which people are inclined to lie, ways in which telephone and online respondents may differ demographically, or to think of ways to encourage more honest responses.

Also, The Onion weighed in on the report:

Property of The Onion

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...

Leo DiCaprio Romantic Age Gap Data: UPDATE

Does anyone else teach correlation and regression together at the end of the semester? Here is a treat for you: Updated data on Leonardo DiCaprio, his age, and his romantic partner's age when they started dating. A few years ago, there was a dust-up when a clever Redditor r/TrustLittleBrother realized that DiCaprio had never dated anyone over 25. I blogged about this when it happened. But the old data was from 2022. Inspired by this sleuthing,  I created a wee data set, including up-to-date information on his current relationship with Vittoria Ceretti, so your students can suss out the patterns that exist in this data.

Tyler Vigen's Spurious Correlations

Tyler Vigen has has created  a long list of easy-to-paste-into-a-powerpoint graphs that illustrate that correlation does not equal causation. For instance, while per capita consumption of cheese and number of people who die by become tangled in their bed sheets may have a strong relationship (r = 0.947091), no one is saying that cheese consumption leads to bed sheet-related death. Although, you could pose The Third Variable question to your students for some of these relationships). Property of Tyler Vigens, http://i.imgur.com/OfQYQW8.png Vigen has also provided a menu of frequently used variables (deaths by tripping, sunlight by state) to help you look for specific examples. This portion is interactive, as you and your students can generate your own graphs. Below, I generated a graph of marriage rates in Pennsylvania and consumption of high fructose corn syrup. Generated at http://www.tylervigen.com/