Colleagues:
Below is a final reminder email about our upcoming CARMA Research Methods Short Courses at Virginia Commonwealth University May 16-21. We have special rates for students and the deadline for advance registration is this Friday, April 15. Thanks, and with apologies for cross listings. Dr. Larry J. Williams, CARMA Director and Professor of Management.
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CARMA Summer Short Courses Plus Program- Research Methods for Management and Organization Studies
Dear Colleagues:
I am pleased to send you information about our upcoming Summer Short Courses Plus Program on management and organizational research methods topics being hosted in May of 2011 by the Center for the Advancement of Research Methods and Analysis (CARMA) at Wayne State University. These courses will be offered at one of our partner schools, Virginia Commonwealth University in Richmond, Virginia. As you will see below, the topics of these nine Short Courses include introductory and advanced structural equation methods, multilevel analysis, multilevel theory and measurement, meta-analysis, social network analysis, survey design/data collection using the internet, testing interactions with linear regression, and grounded theory methods and analysis. And, this year our Short Courses Plus Program will also include panel sessions, tutorials and Ask the Expert sessions.
CARMA is an interdisciplinary center with a management/organizational emphasis that is now celebrating its thirteenth year of operation. More than 1,000 faculty and students from universities throughout the world have attended CARMA Short Courses since the summer of 2004. Also, nearly 300 different universities have participated in the CARMA Consortium Webcast and International Video Library Programs since 2005. More information about CARMA and the events below can be found at our website:
http://carma.wayne.edu
Overview of Courses and Instructors
Each short course in the Short Courses Plus Program will last two and a half days. They include an equal balance of lecture and hands-on experience with an emphasis on the application of the method. We have a very talented set of instructors for our Short Courses who will help you not only learn the technical details of the research method or analysis technique you will be studying, but they will also help you understand how it is being applied in management and organizational research. Our instructors include several former editors and current editorial board members of top management journals.
We will be hosting two sessions of Short Courses Plus in Richmond, Virginia. Please note that you can register for only one short course in each session. These courses are held in-person and DO NOT use distance learning technology. The short course topics and instructors for each session are:
Session One: May 16 – May 18, 2011
“Meta-Analysis: Models & Processes”
Dr. Mike McDaniel, Virginia Commonwealth University
“Grounded Theory Method & Analysis”
Dr. Karen Locke, College of William & Mary
“Introduction to Structural Equation Methods”
Dr. Larry J. Williams, Wayne State University
“Multi-Level Analysis”
Dr. Paul Bliese, Walter Reed Army Institute of Research
Session Two: May 19 – May 21, 2011
“Survey Design/Data Collection Using the Internet”
Dr. Jeff Stanton, Syracuse University
“Testing Interactions with Linear Regression”
Dr. Herman Aguinis, Indiana University
“Advanced Topics in Structural Equation Methods”
Dr. Robert Vandenberg, University of Georgia
“Social Network Analysis”
Dr. Rich DeJordy, Northeastern University
“Multi-Level Theory & Measurement”
Dr. James LeBreton, Purdue University
Course summaries and instructor biographies are on the CARMA website and are included below.
Cost for Attending
The full price per course is $550 for students or $750 for faculty or professionals. This price includes two lunches, a dinner, and all program materials. However, students and faculty/professionals from a member organization of either our Consortium Webcast Program or International Video Library Program receive a 50% discount. The price per course for a student from a member organization is $275 and the price per course for a faculty/professional from a member organization is $375.
In addition, all participants (from member organizations and non-member organizations) are eligible for a $75 discount on the total price if you register a course each session. To receive this discount, a participant must register for a short course in the first session and a short course in the second session.
Venue: Virginia Commonwealth University School of Business
We are very happy to be hosting our Short Courses Plus event this year at Snead Hall of the Virginia Commonwealth University School of Business in Richmond, Virginia. Courses will be held on-site at the VCU School of Business. For more information about the VCU School of Business, please visit:
http://www.business.vcu.edu.
Discounted Accommodations
Discounted hotel rooms are available for out-of-town Short Course Plus attendees at the DoubleTree Richmond. This hotel is located conveniently one block from the VCU School of Business. To complete a hotel room reservation:
http://doubletree.hilton.com/en/dt/groups/personalized/R/RICFSDT-WCM-20110515/index.jhtml?WT.mc_id=POG
Advanced Registration Deadline & Registration Information
The Advanced Registration Deadline for the CARMA 2011 Summer Short Course Plus Program in Richmond, Virginia is April 15, 2011. Please note that a $75 late fee will be added to the total price after this date. We encourage you to register as soon as possible as some of our short courses fill up quickly! To register, please visit:
http://carma.wayne.edu/ShortCourses.asp
To register, you must be a CARMA Website User. To become a CARMA Website User, please visit:
http://carma.wayne.edu/AddPerson.asp
We hope you will find our Short Course Plus offerings to be of interest and we would be very happy to have you participate in our instructional program. Please let us know if you have any questions or if we can help in any way. Hope to see you in May!
Sincerely,
Dr. Larry J. Williams
Professor of Management
Wayne State University
CARMA Director
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Session One: May 16 - May 18, 2011
"Meta-Analysis: Models & Processes"
Instructor: Dr. Mike McDaniel, Virginia Commonwealth University
Course Summary
The purpose of the course is to make participants aware of methods for integrating empirical research. Participants will leave the course with sufficient understanding to conduct a meta-analysis. The course provides hands-on experience in conducting a meta-analysis and the participants learn the major issues in conducting and interpreting a meta-analysis. The course covers both psychometric meta-analysis (Hunter & Schmidt) and meta-analysis in the Hedges and Olkin tradition. Steps in conducting a meta-analysis are reviewed. Typical challenges in conducting a meta-analysis are addressed. The most popular methods of meta-analysis are compared and contrasted. The role of random sampling error in distorting research literatures is emphasized. Other distorting artifacts such as measurement error and range restriction are also reviewed. Fixed and random effect models are considered. Exercises illustrate methods of meta-analyzing correlation coefficients and standardized mean differences as well as methods to detect publication bias. An addition exercise concerns estimating effect sizes from various types of statistics. Software is demonstrated in the course and participants gain experience in using the software.
"Grounded Theory Method & Analysis"
Dr. Karen Locke, College of William & Mary
Course Summary
This workshop will introduce researchers to the grounded theory approach by outlining its key operational processes and the distinguishing characteristics of the theory these processes generate. Workshop participants will take from it a) a general understanding of the logic underlying this foundational approach to qualitative research, b) a specific understanding of and practice with its operational procedures (e.g. theoretical sampling, coding forms, constant comparison, memoing etc.), c) familiarity with the grounded theory methodological literature. Participants are invited to bring samples of their own data to the session. No software is required for this course.
"Introduction to Structural Equation Methods"
Dr. Larry J. Williams, Wayne State University
Course Summary
The Introduction to Structural Equation Methods Short Course provides (a) introductory coverage of confirmatory 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.
Course Outline & Objectives
a. 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.
b. Participants will learn the conceptual and statistical assumptions underlying confirmatory latent variable analysis.
c. Participants will 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 the contemporary software programs LISREL and MPlus.
d. Participants will learn how latent variable techniques can be applied to contemporary research issues in organizational research.
e. Participants will learn how the application of current latent variable techniques in organizational research differs from traditional techniques used in this literature
"Multi-Level Analysis"
Dr. Paul Bliese, Walter Reed Army Institute of Research
Course Summary
The CARMA Multilevel Analysis short course 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. Participants are encouraged to bring datasets to the course and apply the principles to their specific areas of research.
Course Outline
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. Work analytic problems based on participant data
Session Two: May 19 - May 21, 2011
"Survey Design/Data Collection Using the Internet"
Dr. Jeff Stanton, Syracuse University
Course Summary
Thousands of researchers around the world have taken advantage of the flexibility and reach of email and the web to deliver research materials to participants and collect their responses. Additionally, web-based services such as Skype, Facebook, Twitter, Blogger, Doodle, and a variety of other online tools have opened a range of new data collection possibilities for conducting research using the Internet. Yet there are numerous pitfalls in Internet-based research and many studies have ended up with small samples, poor response rates, low quality data, and research ethics disasters. This three day Short Course provides introductions to tools and techniques, as well as guidance and advice for conducting a worthwhile, methodologically sound research study using the Internet. Most tools for the course will be web-based free or open source packages. Most students will develop a pilot research instrument or materials. Quantitative, qualitative, and mixed methods research orientations will be incorporated into discussions.
"Testing Interactions with Linear Regression"
Dr. Herman Aguinis, Indiana University
Course Summary
The goal of this workshop is to provide a review and update regarding the estimation of moderating (i.e., interaction) effects using multiple regression. The workshop will include theoretical/conceptual issues and hands-on demonstrations on the following topics: (a) a review of multiple regression, (b) definition of moderating effect, (c) interpretation of moderating effects, (c) a review of the latest research on factors known to affect the power of multiple regression to estimate moderating effects (e.g., range restriction, heterogeneity of error variance). The hands-on/demonstration portion of the workshop will include the following topics: (a) how to use computer programs (with an emphasis on SPSS and EXCEL) to estimate moderating effects with multiple regression, (b) how to use computer programs (provided at the workshop and available on-line) to assess violation of assumptions that bias the moderator test, to obtain alternative statistics to the F-test when assumptions are violated, and to estimate the statistical power of a moderator test. Software required for this course is Excel, SPSS, and JAVA.
"Advanced Topics in Structural Equation Methods"
Dr. Robert Vandenberg, University of Georgia
Course Summary
The focus of my workshop is on SEM topics that are outside the boundaries of introductory SEM courses and workshops. Thus, participants should have some grounding in basic CFA and SEM analyses. Further, I use the Mplus program in my workshop (Muthén & Muthén, 1998-2006).
However, no prior experience with the latter program is needed. Many of my examples entail multi-group comparisons such as intervention vs. control conditions. All topics will be approximately half lecture and half hands-on experience where you will actually conduct the analyses. Data for the hands on portion will be provided. However, I highly encourage participants to bring their own data and attempt the exercises using them. Among the advanced topics to be discussed are: (a) measurement invariance; (b) latent growth modeling; (c) multilevel SEM; (d) latent interaction terms; (e) latent class analysis; and (f) missing data procedures in SEM. Software required for this course is MPlus.
"Social Network Analysis"
Dr. Rich DeJordy, Northeastern University
Course Summary
A beginner's tutorial on the concepts, methods and data analysis techniques of social network analysis. The course begins with a general introduction to the distinct goals and perspectives of network analysis, followed by a practical discussion of network data, covering issues of collection, validity, visualization, and mathematical/computer representation. We then take up the methods of detection and description of structural properties such as centrality, cohesion, subgroups, cores, roles, etc. Finally, we consider how to frame and test network hypotheses. An important element of this workshop is that all participants learn to use the UCINET 6 and NetDraw network analysis software packages. Software required for this course is Ucinet.
"Multi-Level Theory & Measurement"
Dr. James LeBreton, Purdue University
Course Summary
This course is aimed at faculty and students who are relatively new to multilevel theory, measurement, and analysis. It will review basic issues associated with the development and testing of multilevel theories. Although the focus will be on issues pertaining to multilevel measurement (e.g., multilevel constructs, multilevel construct validation, aggregation and composition models), we will also discuss general issues associated with multilevel theory and multilevel analysis. Specific topics will include:
1) Multilevel Theory: Constructs, Inferences, and Composition Models
2) Multilevel Measurement: Aggregation, Aggregation Bias, & Cross-Level Inference
3) Multilevel Measurement: Estimating Interrater Agreement & Reliability
4) Multilevel Measurement and Multilevel Modeling: A Simple Illustration of Analyzing Composite Variables in Hierarchical Linear Models
-----Examples using HLM Software
-----Examples using SPSS Software