Research Methods Workshops (SWARM)
Coller's Summer Workshops in Advanced Research Methods (SWARM) are 3 to 4-day state-of-the-art methodological workshops designed for junior faculty and PhD students in business and management and related fields. Attracting participants from the US, Europe and the Far East, each workshop consists of 30 contact hours, with transfer credit available.
SWARM has partnered with the CARMA (The Consortium for the Advancement of Research Methods and Analysis) to offer M-Plus and Multi-level courses back-to-back, live and on-line. Session 1: July 13-16 | Session 2: July 20-23
Course 1: “Introduction to Multilevel Analysis” – July 13-16 (1 PM- 6 PM Tel Aviv Local Time)
The purpose of this Short Course is to develop the theoretical/conceptual background and methodological/statistical skills required for conducting multilevel research in the areas of Organizational Behavior, Human Resource Management, and related fields (e.g., Strategy, Behavioral Marketing). Topic areas to be covered include: (1) multilevel construct and measurement development and aggregation, (2) basics of multilevel modeling, and (3) advanced topics in multilevel modeling (growth modeling, 3-level models, & multilevel moderated-mediation models). The Short Course assumes participants have basic background in scientific principles, psychometrics (e.g., classical test theory, reliability & validity), and general linear model methods (e.g., ANOVA, regression). Participants are expected to have access to MPlus (Base Program and Multilevel Add-On; see http://www.statmodel.com/) as well as the R program for SPlus (see http://www.r-project.org/). We will use both programs during the Short Course, for some overlapping as well as unique purposes and capabilities. If you cannot gain access to MPlus, you can still participate in this Short Course, but will not be able to perform some of the analyses we will conduct.
Course 2: “Introduction to Structural Equation Methods” - July 20-23 (1 PM- 6 PM Tel Aviv Local Time)
Prof. Larry Williams, Texas Tech University
The Introduction to Structural Equation Methods Short Course provides (a) introductory coverage of latent variable techniques, including confirmatory factor analysis and structural equation methods with latent variables, (b) discussion of special issues related to the application of these techniques in organizational research, and (c) a comparison of these techniques with traditional analytical approaches. This Short Course will contain a balance of lecture and hands-on data analysis with examples and assignments, and emphasis will be placed on the application of SEM techniques to organizational research problems. Participants will:
- develop skills required to conduct confirmatory latent variable data analysis, based on currently accepted practices, involving topics and research issues common to organizational research.
- learn the conceptual and statistical assumptions underlying confirmatory latent variable analysis.
- learn how to implement data analysis techniques using software programs for confirmatory modeling. Special emphasis will also be placed on the generation and interpretation of results using LAVAAN and LISREL.
- learn how latent variable techniques can be applied to contemporary research issues in organizational research.
- learn how the application of current latent variable techniques in organizational research differs from traditional techniques used in this literature
- complete in-class exercises using LAVAAN and LISREL.
Registration & Pricing
ALL PARTICIPANTS RECEIVE CARMA MEMBER 50 % DISCOUNT!
$325 FOR STUDENTS, $425 FOR FACULTY and ADDITIONAL $100 DISCOUNT FOR 2 COURSES (SEE BELOW)
To register for 2020 Live Online Short Courses, you must first log in to your CARMA account (If you do not already have an account, please sign-up as a website user). Once you have logged in, and you are in the User Area, select “Purchase Short Course” on the right side of the page. You will then be brought to a page in which you can select your course(s) and continue on to pay for them.