# How to Use the Liquify Tool in Photoshop Thurstone’s Linear Analysis After the Second World War the interest in the science of geometry diminished, but in 1950 Thurstone developed an interesting methodological tool for measuring the degree of consensus in a collection of survey responses. Thurstone’s Linear Analysis Linear Analysis developed from Thurstone’s search for a typology of human personality. He used a battery of measurements or traits and some of these traits were devised to be “dominant.” The dominants formed several groups, the first of which he called Type A. The Type A person, while normally intelligent and outgoing, was aggressive and demonstrative. This led to an obsession with taking over the world, along with feelings of depression and anxiety. Another trait was developed for people who had an exaggerated sense of self, to distinguish them from people who are humble and modest. In order to test the accuracy and the probability of an individual’s membership in a type the method called Linear Analysis, or stepwise regression, was used. The type probabilities then were written in the form of a table. This table was a linear approximation of the probability that a respondent would be A, not A, or B, not B. It determined the likely probabilities given by the other respondents. One of the skills of Linear Analysis is that it allows for the possibility that a respondent will disagree with others. In Linear Analysis the respondent is given an additive score for each respondent. Each has a fixed value for the traits. The main variables are the following. The Point Value for a personality trait is determined by how many other respondents that trait. The Severity indicates how strongly the trait is felt in the respondent. The correlation is the correlation between two traits. The Sum of all correlations is the covariance. There are other aspects to Linear Analysis, but the one reviewed here is sufficient to understand. Thurstone’s Linear Analysis Exercise Your job as a professor is to design a course that uses Linear Analysis as its design of analysis. You want to know why the course will be successful. You assume that the data has the following characteristics. The points scored for the A characteristics have a mean of 10, a standard deviation of 2, the points for the Not A characteristics have a mean of 3 and a standard deviation of 2. You would like to know if Linear Analysis is a useful tool to uncover the type, or not. Linear Analysis Question 1. Use Linear Analysis to draw a table that