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2010 CARMA Winter Short Courses
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Make a Reservation for the 2010 CARMA Winter Short Courses
COURSE 1
Topic:Intermediate Structural Equation Methods: Model Evaluation
Instructor: Dr. Larry J. Williams, Virginia Commonwealth University
Date: January 7 – 9, 2010
Location: Hosted by Wayne State University, Detroit, Michigan
| Course Summary (top) |
This course is aimed at faculty and students with an introductory understanding of structural equation methods who seek a better understanding of the challenging process of making judgments about the adequacy of their models. Those who attend should have experience in fitting structural equation models with software such as LISREL, MPlus, EQS, or AMOS. Attendees will be expected to bring their own laptop computers installed with their SEM software, and they should also know how to import data from an SPSS save file into their SEM software program. Attendees will learn out to interpret and report results from SEM analyses, and how to conduct model comparisons to obtain information relevant to inferences about their models, as advantages and disadvantages of different approaches to model evaluation are considered. |
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| Course Outline (top) |
The course will consist of five sections, with each section having a lecture and lab component using exercises and data provided by the instructor:
Review of model specification and parameter estimation
Overview of model evaluation
Logic and computations for goodness-of-fit measures
Analysis of residuals and latent variables
Model comparison strategies
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| Instructor Biography (top) |
Dr. Larry J. Williams joined the faculty of Virginia Commonwealth University (V.C.U.) as University Professor of Management in August of 1997, and previously he was an Associate Professor and Jay Ross Young Faculty Scholar at the Krannert School of Management of Purdue University (1987-1996) and the Fisher Distinguished Scholar in the Industrial/Organizational Psychology program at the University of Tennessee (1996-1997). Dr. Williams served as the Founding Editor of Organizational Research Methods (ORM), a journal sponsored by the Research Methods Division (RMD) of the Academy of Management, and he previously served as Consulting Editor for the Research Methods and Analysis section of the Journal of Management (1993-1996). Dr. Williams also has served as Chairperson for the Research Methods Division (RMD) of the Academy of Management and he established and currently serves as Director of the Center for the Advancement of Research Methods and Analysis (CARMA).
Among his recent accomplishments, in 2004 Dr. Williams was recognized by the Southern Management Association as an author of 2 of the 6 most highly cited articles in the 30 year history of the Journal of Management. He was also elected in 2004 to be a member of the Society for Organizational Behavior, an international group of approximately 80 leading scholars from the field of organizational behavior. In 2005, Dr. Williams was selected to be the recipient of the 2005 Distinguished Career Contributions Award by the Academy of Management’s Research Methods Division. In 2008, Professor Williams was recognized as one of the 150 most-cited authors in the field of management (1981-2004) in an article published in the Journal of Management. |
COURSE 2
Topic: Multi-Level Analysis
Instructor: Dr. Paul Bliese, Walter Reed Army Institute of Research
Date: January 7 – 9, 2010
Location: Hosted by Wayne State University, Detroit, Michigan
| Course Summary (top) |
The CARMA Short Course on Multi-Level Analysis Methods provides both (1) the theoretical foundation, and (2) the resources and skills necessary to conduct a wide range of multilevel analyses. The course covers within-group agreement, nested 2-level multilevel modeling and growth modeling. All practical exercises are conducted in R. Software for this course is R Software and the Multilevel package.
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| Course Outline (top) |
Day 1
1. Introduction and overview to Multilevel Models (PowerPoint)
2. Introduction to R (PowerPoint)
a. Exercise 1: Installing R and the multilevel package
b. Exercise 2: A Sample Session
c. Exercise 3: Importing Data from EXCEL and SPSS
3. Composition Models, Agreement and Reliability (PowerPoint)
a. Exercise 4: Estimating Within-Group Agreement and Reliability
Day 2
4. Analytic Methods for multilevel modeling (PowerPoint)
a. Exercise 5: Data manipulation Functions for Multilevel Models
b. Exercise 6: Contextual Models
c. Exercise 7: Covariance Theorem Decomposition of Correlations
d. Exercises 8-10: Multilevel Random Coefficient Models
Day 3
5. Growth Modeling (PowerPoint)
a. Exercise 11: Growth Modeling Data Set Up
b. Exercise 12: Growth Modeling Example
6. Participant Examples
a. Bring data to work analytic problems as a group |
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| Instructor Biography (top) |
Dr. Paul Bliese has published a number of theoretical and methodological papers about applying mixed-effects models to occupational health research, sleep research and leadership research. Dr. Bliese has served on the editorial boards of the Journal of Applied Psychology, Personnel Psychology, and Organizational Research Methods. Dr. Bliese maintains the multilevel library for the open-source statistical language R http://www.r-project.org/. R is a full-featured program with effective data handling facilities, a large collection of tools for data analysis, and publication quality graphical capabilities. The R platform along with the nlme, MASS, lme4, and multilevel libraries offers an extensive array of multi-level modeling tools.
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Price: (After December 1, a $75 late fee is applied).
(top)
Faculty/Professional: $750.00 |
CARMA Consortium Webcast Members Faculty/Professional: $375.00 |
Students: $550.00 |
CARMA Consortium Webcast Members Students: $275.00 |
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