with apologies for cross-listings
Dear Colleagues: I would like to make sure you know that CARMA at Wayne State University will be offering three research methods short courses May 11-19 that may be of special interest to those who conduct business policy/strategy research. These courses and instructors include: introduction to structural equation methods (Larry Williams), analysis of limited dependent variables: logit, tobit, and related models (Harry Bowen), and software for text analysis (Jeremy Short). More information can be found on the CARMA website http://carma.wayne.edu/, and course summaries and instructor bios are provided below. Thanks. Larry
2012 CARMA Summer Short Courses
Hosted by CARMA at Wayne State University (WSU)
May 11 – May 19, 2012
Session One: May 11 – May 13, 2012
Short Course: "Introduction to Structural Equation Methods"
Instructor: 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
Biography
Dr. Larry J. Williams joined the faculty of Wayne State University as Professor of Management in January of 2010, and previously he was an Associate Professor and Jay Ross Young Faculty Scholar at the Krannert School of Management of Purdue University (1987-1996), the Fisher Distinguished Scholar in the Industrial/Organizational Psychology program at the University of Tennessee (1996-1997), and a University Professor in the Department of Management at Virginia Commonwealth University (1997-2009). 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 the Southern Management Association recognized Dr. Williams 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. He was elected Fellow of the Society for Industrial Organizational Psychology in 2010.
Session Two: May 14 – May 16, 2012
Short Course: "Analysis of Limited Dependent Variables: Logit, Tobit, and Related Models"
Instructor: Dr. Harry Bowen, Queens University of Charlotte
Course Summary
This short course will expose researchers to the theory and application of techniques designed to model a dependent variable that takes a limited number of (usually) discrete outcomes. Such techniques encompass the common binary logit and probit models, as well as models for censored dependent variables such as the Tobit, and models for truncated dependent variables including the Heckman "self-selection" model. The emphasis of the course will be on gaining an understanding of when and how the various models should be applied, their basic statistical foundations, and how to analyze and interpret the results obtained from such models. The course is aimed at students and faculty who have only a cursory exposure to limited dependent models and techniques.
Instructor Biography
Dr. Bowen is Associate Professor and W.R. Holland Chair of International Business and Finance at the McColl Graduate School of Business, Queens University of Charlotte. Previously, he was Professor of Management and International Business at the Vlerick Leuven Gent Management School (Belgium), Associate Professor (Adjunct) of Economics at University of California, Irvine, Associate Professor of Management (visiting) at Merage Graduate School of Business, University of California, Irvine, and Assistant/Associate Professor of Economics and International Business at the Stern School of Business, New York University. He is a former U.S. Fulbright Scholar (to Madagascar), and has held the titles 'Faculty Research Fellow' and 'Research Economist' with the National Bureau of Economic Research, and 'Expert' to the European Commission. He holds a B.A. degree in Economics from University of California, San Diego and M.A. and Ph.D. degrees in Economics from University of California, Los Angeles.
Dr. Bowen's research spans corporate strategy/business policy, entrepreneurship, international business/economics, and applied research methods. He is internationally recognized for his research on the determinants of international trade patterns, measurement of trade performance and international competitiveness. His research is published in leading academic journals including American Economic Review, Corporate Governance, Journal of International Business Studies, Strategic Management Journal, and Quarterly Journal of Economics. He is also co-author of the graduate level text Applied International Trade Analysis (Palgrave).
Dr. Bowen has lectured to students at all levels including Executive M.B.A, M.B.A., Ph.D. and Undergraduate on a wide range of subjects including Economics, Finance, Global Strategy, International Business, and Statistics. He has lectured at several foreign universities including Erasmus University Rotterdam (Netherlands) and Bocconi University (Italy). He received the Order of Omega's "Outstanding Faculty Member" award while at University of California, Irvine.
Dr. Bowen has served as adviser to various corporations, government agencies, and private non-profit institutions. These include American Chamber of Commerce (Belgium), 3M Corporation, Chrysler Corporation, US National Science Foundation, United Nations Development Program and the New York Society of Security Analysts.
Session Three: May 14 – May 16, 2012
Short Course: "Measuring and Validating Constructs Using Content Analysis"
Instructor: Dr. Jeremy Short, University of Oklahoma
Course Summary
Content analysis is a research method that uses a set of procedures to classify or categorize communication from organizationally produced texts and narratives such as CEO shareholder letters, annual reports, and mission statements. This course focuses on using content analysis to measure multidimensional constructs and assess their content, external, discriminant, and predictive validity. A particular focus will include computer-aided text analysis (CATA). The use of CATA as a content analytic method is particularly attractive because of the ability to process large samples with high speeds and reliabilities. Participants will be expected to have DICTION 6.0 Software for use during the course. Example data sets and exercises will be provided, and participants are encouraged to bring a dataset of organizational narratives with some idea of constructs that may be gleaned from such texts.
Instructor Biography
Jeremy C. Short is the Rath Chair in Strategic Management at the University of Oklahoma. His research focuses on multilevel determinants of firm performance, strategic decision processes, entrepreneurship, research methods, franchising and family business. He currently serves as an Associate Editor for the Journal of Management and Family Business Review, and he is also on the review boards for Journal of Business Venturing and Organizational Research Methods. His research has appeared in a number of journals including the Strategic Entrepreneurship Journal, Strategic Management Journal, Organization Science, Organizational Research Methods, Organizational Behavior and Human Decision Processes, the Journal of Management, Personnel Psychology, Entrepreneurship Theory & Practice, Academy of Management Learning and Education, the Journal of Management Education, the Journal of Vocational Behavior, Business Ethics Quarterly, and Family Business Review. He has published a strategic management textbook titled Mastering Strategy. He has also authored a graphic novel focusing on management and entrepreneurship (Atlas Black: The Complete Adventure), and a graphic novel focusing on franchising and family business (Tales of Garcón: The Franchise Players). In addition, he co-wrote the first Harvard Business Case in graphic novel format, as well as short graphic novel works for journals such as Journal of Management Inquiry and Business Horizons.