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Showing posts from September, 2018

The Moral Foundations Questionnaire (MFQ)

The  Moral Foundations Questionnaire  ( MFQ ) is available online and as a download. You can take the test online and get your scores. The MFQ is designed to measure the five core moral foundations derived from Moral Foundations Theory (MFT) developed by Jonathan Haidt and his colleagues. (See references at the end of this post). The MFQ evaluates moral foundations based on answers to questions. There are five moral foundations in the MFQ: Care-Harm Equality-Fairness; aka fairness/cheating Loyalty-Betrayal Authority-Respect; aka Authority/subversion Purity-Sanctity aka Sanctity/degradation I added the aka because you will find somewhat different words for the foundations in some articles. See this page for a description of Moral Foundations Theory Researchers can use the MFQ items to create their own surveys. The current version (2018) is a 30-item version known as the MFQ30. There is also a shorter version known as the MFQ20, which has 20 items, 4-items for each of the

Four Types of Measurement

Behavioral scientists commonly refer to four types of measurement or scales. Understanding the types of measurement or scales is important because some numbers have limited applications and they are misused. The four types of measurement scales are as follows: Nominal, Ordinal, Interval, and Ratio. This information is taken from Chapter 5 of Applied Statistics: Concepts for Counselors Nominal Scale This is often called the naming scale. The numbers allow researchers to classify people as belonging in a group. The numbers cannot be added or ranked. If we were studying treatment of people with depression we might form two groups simply numbers 1 and 2 for those getting treatment and those on a waiting list for treatment. All people in the study have a number but the number is just a classification. Numbers on sports team players may represent positions. Ordinal Scale The ordinal scale is a ranking scale. Performance can be ranked in order of high to low. You can r