ISSR Summer Methodology Workshops | Latent Variable Measurement in R | Justin Gross

Event date/time: 

Wednesday, June 28, 2017 - 9:00am to 4:00pm
Thursday, June 29, 2017 - 9:00am to 4:00pm
University of Massachusetts, Amherst | 107 Bartlett Hall

REGISTRATION IS NOW CLOSED FOR THIS WORKSHOP.

Description: Many—perhaps most—of the concepts of interest in the social and behavioral sciences are difficult to operationalize and measure. Often, we take for granted composite scores and indices popular in our fields without understanding the techniques that produced them or having an opportunity to determine if they are appropriate for our particular research questions. If we collect our own data, we may resort to rudimentary means of aggregating items without justification or else use a popular data reduction technique without having a solid grasp of how it works. In this workshop, participants will learn the fundamentals of three popular approaches to measurement and scaling of latent variables using R software. This two-day short course will introduce exploratory factor analysis (FA), item response (latent trait) theory (IRT), and latent class analysis (LCA) using the R statistical computing environment. Our focus will be on understanding the assumptions of each family of models, learning how to prepare data to be analyzed in R, and interpreting results. We will also consider workflows that make use of multiple methods in constructing, evaluating and validating a scale or index. Participants should have had some previous experience working with data in R, e.g. at the level of the two-hour ISSR workshop "Introduction to R" and exposure to multiple regression.

Instructor: Justin Gross is Assistant Professor of Political Science and a core faculty member of the Computational Social Science Institute at the University of Massachusetts Amherst. He has Master's degrees in Mathematics, Public Policy and Statistics, and received his PhD in Statistics and Public Policy from Carnegie Mellon University in 2010. He served as Assistant Professor of Methodology in the Department of Political Science at UNC-Chapel Hill from January 2010 until June 2015. Dr. Gross develops and applies measurement models for text, networks and surveys. He has also created predictive and visualization tools for voter turnout and group electoral influence while serving as chief statistician for Latino Decisions, a leading source of polling and analysis for Latino politics and opinion. Recently, he has been collaborating with computer scientists to analyze the framing of policy issues and measure expressed ideology within large corpora of text.

Questions? For more information about this or any of the ISSR Summer Methodology Workshops, please contact ISSR Methodologist Jessica Pearlman (jpearlman@issr.umass.edu).


REGISTRATION IS NOW CLOSED FOR THIS WORKSHOP.

Five College Students and Faculty (UMass-Amherst, Hampshire College, Smith College, Mt. Holyoke College, and Amherst College only)

Five College Undergraduate and Graduate Students…………………………..$100 / person

Five College Faculty………………………………………………………………....$200 / person

Non-Five College Students and Faculty

Non-Five College Undergraduate and Graduate Students…………………………..$225 / person

Non-Five College Faculty………………………………………………………………....$325 / person

Registration note: Registration closes for each workshop 2 full business days prior to the start date. Payment of registration does not guarantee a spot in these space-limited workshops. ISSR will offer you the choice of placement on a wait-list or a refund for any workshops that are over-subscribed. If paying with departmental funds or personal checks, contact Karen Mason (mason@issr.umass.edu).

Cancellation note: In cases where enrollment is 5 or less, we reserve the right to cancel the workshop.  In cases where the registrant cancels prior to the workshop, a full refund will be given with two weeks notice, and 50% refund will be given with one week notice.  We will not be able to refund in cases where registrant does not notify us of cancellation at least one week prior to the beginning date of the workshop.