to view detailed Course Outlines and - CARMA - Wayne State by 7Ee5b68B

VIEWS: 10 PAGES: 6

									                         2012 CARMA Short Courses in Australia
                     In Partnership with the University of Melbourne
                   Venue: University of Melbourne Alan Gilbert Building
                                    April 11 – 13, 2012

Short Course: “Regression Analysis: Simple Regression, Multiple Regression, Moderated
Regression, and Logistic regression”
Instructor: Dr. Jose Cortina, George Mason University

Course Summary

The purpose of this short course is to provide information and supervised hands-on exercises
relating to several different approaches to regression analysis. First, we will cover single-
predictor or simple regression and multiple-predictor or multiple regression. Next we will cover
moderated multiple regression, which allows one to investigate statistical interaction. All three
of these topics will be covered in the context of ordinary least squares estimation. Finally, we
will cover logistic regression, which allows one to predictor dichotomous dependent variables.
 This last topic will be covered within the context of maximum likelihood estimation. For each
of these topics, attendees will have an opportunity to analyze and interpret results for multiple
data sets.

Instructor Biography

Jose M. Cortina is a Professor in the I/O Psychology program at George Mason University.
Professor Cortina received his Ph.D. in 1994 from Michigan State University. His recent
research has involved topics in meta-analysis, structural equation modeling, and the use of
personality to predict job performance. His work has been published in journals such as the
Journal of Applied Psychology, Personnel Psychology, Psychological Bulletin, Organizational
Research Methods, and Psychological Methods. He currently serves as the Editor of
Organizational Research Methods. Dr. Cortina was honored by SIOP with the 2001 Ernest J.
McCormick Award for Distinguished Early Career Contributions and by the Research Methods
Division of the Academy of Management with the 2004 Robert O. McDonald Best Paper Award.
He was also the proud recipient of a 2010 George Mason University Teaching Excellence
Award.


Short Course: “Qualitative Research Methods for Cross-Cultural Research”
Instructor: Dr. Tine Köhler, University of Melbourne

Course Summary

Qualitative methods for data collection and data analysis have unique strengths when it comes to
cross-cultural research. They are highly suitable to capture the complexity of issues underlying
cross-cultural differences, study dynamic processes and changes over time, and distinguish the
influence of culture from the influence of external events and personal differences on outcome
variables of interest. These methods help researchers move away from using the rather coarse
descriptors of cultural differences developed at the national level (such as cultural dimension
systems) to arrive at a richer, more complex, and thus, more accurate, understanding of how
cultural differences affect individual and group behaviors. The current workshop will introduce
several qualitative approaches to collecting and analyzing cross-cultural data including, but not
limited to, ethnography, case study research, interviews, observations, and grounded theory. It
will give an overview of general challenges and opportunities of cross-cultural research, while
providing hands on examples of how to use the different methods effectively. Furthermore, the
workshop will provide specific examples of practical challenges and strategies to manage them.

Instructor Biography

Dr. Tine Köhler is Lecturer for International Business in the Department of Management and
Marketing at the University of Melbourne, Australia. Her research focuses on Global Teamwork
and Research Methods and Statistics. Her main research interests are in the area of cross-cultural
management, cross-cultural communication and coordination, group processes, trust, and
motivation, qualitative research methods, meta-analysis and regression. She received her Pre-
Diploma from the Philipps-University Marburg in Germany and her MA and PhD degrees from
George Mason University in the US. Before joining the University of Melbourne, she worked at
the International Finance Corporation (World Bank Group, USA) as a consultant for leadership
development.

Dr. Köhler is an editorial board member of Organizational Research Methods, Academy of
Management Learning and Education, and Small Group Research. She further reviews for the
Academy of Management Journal, Journal of International Business Studies, Journal of
Organizational Behavior, Journal of Management Studies, and the Canadian Journal of
Administrative Science. She has published book chapters, journal articles, and papers in
conference proceedings on global teamwork and research methods and statistics and has
presented at various international conferences and workshops. Dr. Köhler serves on the
International Advisory Board of the Consortium for the Advancement of Research Methods and
Analysis (CARMA) and is a member of the Melbourne International Business Research Unit
(MIBRU).


Short Course: “Advanced Topics in Structural Equation Methods”
Instructor: Dr. Bob 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.

Instructor Biography

Robert (Bob) Vandenberg is a Professor of Management in the Terry College of Business at the
University of Georgia, Athens, GA (USA). He belongs to the organizational behavior group. He
teaches in the undergraduate, MBA and Ph.D. programs including courses in organizational
behavior, leadership, change management, introductory research methods, introduction to
structural equation modeling, and advanced structural equation modeling. Bob's primary
substantive research focuses are on organizational commitment, and high involvement work
processes. His methodological research stream includes measurement invariance, latent growth
modeling, and multilevel structural equation modeling. Bob's articles on these topics have
appeared in the Journal of Applied Psychology, Journal of Management, Journal of
Organizational Behavior, Human Resource Management, Organization Sciences, Group and
Organization Management, Organizational Behavior and Human Decision Processes, and
Organizational Research Methods.

Bob's measurement invariance article co-authored with Charles Lance received the 2005 Robert
McDonald Award for the Best Published Article to Advance Research Methods given by the
Research Methods Division of the Academy of Management. He has served on the editorial
boards of the Journal of Applied Psychology, Journal of Management, Organizational Behavior
and Human Decision Processes, and Organizational Research Methods. Bob was editor-in-chief
of Organizational Research Methods from 2007-2010. He is past division chair of the Research
Methods Division of the Academy of Management. Bob also received the division’s 2010
Lifetime Achievement Award. In addition, he is a Fellow of the Society for Industrial and
Organizational Psychology, the American Psychological Association, and the Southern
Management Association. He is also a Fellow in the Center for the Advancement of Research
Methods and Analysis at Virginia Commonwealth University in which he conducts annual
workshops, and a Fellow of the Institute for Behavioral Research at the University of Georgia.
Further, he was recently accepted as a member of S.O.B. Finally, and vastly more important,
Bob is married to Carole, has three children, Drew, Kaity and Jackson, and rides his Harley with
a passion every day.


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.
Short Course: Advanced Case Study Methods
Instructor: Dr. Catherine Welch, University of Sydney

Course Summary

The purpose of this short course is to provide an overview of recent trends and debates on the
case study in management and organization research. Introductory-level issues for qualitative
researchers, such as how to formulate interview questions and how to code data using software
tools, will be briefly reviewed. Next, this course will focus on issues that are often left out of
methodology courses and training, notably: What are the different views on the theoretical
contribution that a case study can make, and what lies behind these differences? As researchers,
how can we theorize from case studies? How do ontological and epistemological assumptions
affect views about case study quality and design? What is the ‘disciplinary convention’ regarding
the case study in your own field of research, and why does it matter? What are your options
when writing up your case study for publication? What are the current trends in case research in
top management journals? What can management researchers learn from case study trends in
other fields, such as political science? Detailed course notes will be provided and examples from
top journals will be collectively analyzed by course participants.

Instructor Biography

Catherine Welch is a Senior Lecturer in International Business at the University of Sydney. She
has a longstanding interest in qualitative research methods, and at the moment her research lies
in applying process approaches to the study of firm internationalization. Together with Rebecca
Piekkari, she has edited two volumes on qualitative research published by Edward Elgar:
Handbook of Qualitative Research Methods for International Business (2004) and Rethinking the
Case Study in International Business and Management Research (2011). She has published on
numerous aspects of doing qualitative research, including interviewing, writing up and the case
study. She and her co-authors have published their work on the case study in Organizational
Research Methods, Journal of International Business Studies and Industrial Marketing
Management. She has taught PhD-level courses on the case study in five countries.


Short Course: “Multilevel Analysis”
Instructor: Mark Griffin, University of Western Australia (mark.griffin@uwa.edu.au)

Course Summary

The CARMA Multilevel Analysis short course will introduce the fundamentals for designing,
testing, and interpreting multilevel models. The course will use MPlus 6.1 software and all
examples will be based on the free demonstration package. Topics include cross-level
interactions and longitudinal models. The course will address issues such as data centering,
agreement, and reliability. Participants can bring their own datasets for use during the course.
Instructor Biography

Mark Griffin is Professor of Organizational Psychology and Australian Research Council Fellow
in the School of Psychology at the University of Western Australia. He received his Ph.D. in
Industrial/Organizational Psychology from the Pennsylvania State University and is currently
Associate Editor for the Journal of Management and Organizational Psychology Review. He is a
fellow of the US Society for Industrial/Organizational Psychology and is currently Chair of the
Research Methods Division of the US Academy of Management. Mark has managed large-scale
multilevel studies in areas such as leadership, safety, work performance, organizational climate,
and work stress.

								
To top