QSG this week features a talk by Minami Hattori. The abstract for the talk is given below.
A number of scales often exist for measuring complex constructs such as narcissism, and studies of such constructs may involve multiple scales. When meta-analyzing the results from these studies, not all combinations of included scales are paired. Thus, a resulting correlation matrix would be incomplete with missing elements. We adapt the iterated principal factor method for estimating exploratory factor analysis models with incomplete correlation matrices. We discuss identifiability checks and parametric bootstrap. We also conduct a Monte Carlo study to assess statistical properties of the proposed method.
All are welcome, and we hope to see you there. For a complete list of speakers for Fall 2018, please visit this link.
“The primary objective [of this course] is to provide students the opportunity to develop their critical thinking skills, presentation abilities, and knowledge of the most recent developments in quantitative and statistical methods and techniques. The seminar format of this course is designed to stimulate and foster the intellectual environment of the program and department as well as to engage students at all levels. This is one of the required courses for non-quantitative students to get their minor in quantitative psychology.”
Originally published at psychology.nd.edu.