Structural Equation Modeling Seminar
Five-day seminar - from May 6 to 10, 2019
Course description
The sessions are in English. This five-day seminar introduces structural equation modeling (SEM). Core SEM techniques, such as path analysis and confirmatory factor analysis (CFA), are covered, and examples of applying SEM to actual research problems are considered. The presentation will be conceptually rather than mathematically oriented. Basic familiarity with multiple regression and exploratory factor analysis (EFA) is assumed. There is also an opportunity for those with no prior experience using a computer tool for SEM to practice on-site with the student version of LISREL. Even if participants eventually use a different SEM computer tool in their own work, principles learned from working with LISREL will generalize to related applications.
Trainer
Rex Kline, PhD, is Professor of Psychology at Concordia University in Montréal. Since earning a doctorate in clinical psychology, he has conducted research on the psychometric evaluation of cognitive abilities, behavioral and scholastic assessment of children, structural equation modeling, training of researchers, statistics reform in the behavioral sciences, and usability engineering in computer science. Dr. Kline has published a number of books, chapters, and journal articles in these areas. His website is http://tinyurl.com/rexkline.
Registration fees
$300 - Student or postdoctoral fellow
(user of QICSS data**)
$400 - Student or postdoctoral fellow
(from a QICSS member institution*)
$600 - Student or postdoctoral fellow
(registered at other institutions)
$600 - University professor and/or researcher
(from a QICSS member institution*)
$800 - Any other category
(other institutions)
Registration fees must be paid by credit card. Federal and Provincial taxes are not included.
Registration
A minimum of 15 participants is required to run the workshop (maximum 20). Registered participants will be refunded if the minimum enrolment is not met.
Notes:
* QICSS’ member institutions: Université de Montréal, McGill University, Concordia University, UQAM, INRS-UCS, Université de Sherbrooke, Université Laval, l'Université du Québec à Montréal and l'Université du Québec.
** QICSS users have a project to access data in one of the six QICSS laboratories or have submitted a proposal for microdata access to the SSHRC.
