Short Courses 2015-2016
Short Courses in Adelaide, Australia, April 18-22
Courses hosted by School of Management, University of South Australia
April 18-22, 2016 – Two Sessions, Three Courses
We offer two sessions of courses in order to allow participants to take two back-to-back methods courses. You may select one course from Session I and one course from Session II.
Short Course Topics, Instructors and Summaries
Session I: April 18 & 19 (full days), 20 (AM half day)
- “Qualitative Methods”
Dr. Rhonda Reger, The University of Tennessee, Knoxville
Course Description
In this course, students will be exposed to findings about the prevalence of research methods currently used in macro-level management fields, specifically in strategic management, organization theory and entrepreneurship in the Academy of Management Journal and the Strategic Management Journal. The course will provide a deeper grounding in several qualitative methods including comparative case study research, content analysis, discourse analysis, rhetorical analysis, and repertory grid interview methods. The course will be interactive with discussion of exemplar papers that showcase each of these methods. Students will also be given the opportunity to “pilot test” the methods by interviewing each other and content analyzing a small sample of text. A focus of this workshop will be on matching methods to research questions and the interests and strengths of the research team.
Required Software: TBA
Session II: April 20 (p.m. half day), 21 & 22 (full days)
- “Introduction to Research Methods”
Dr. Larry J Williams, University of Nebraska-Lincoln
Course Description
This short course begins with an overview of the research process typically used in organizational research. Next, constructs and their measurement are considered, including introductory coverage of reliability and validity. Consideration of experimental and non-experimental designs follows. And, data analysis tools will also be introduced, including descriptive statistics, analysis of variance, correlation, and linear regression. For all topics, examples will be discussed and assignments completed using either data provided by the instructor or by the short course participants.
Required Software: SPSS (free trial version)
- “Introduction to Multilevel/Longitudinal Analysis”
Dr. Paul Bliese, University of South Carolina
Course Description
The CARMA Multilevel/Longitudinal Analysis short course provides both (1) the theoretical foundation, and (2) the resources and skills necessary to conduct a wide range of multilevel analyses, including those associated with longitudinal data. 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.
Required Software: SPSS (free trial version)
Registration, Pricing, Advanced Registration Deadline for Adelaide Short Courses
To register for 2016 CARMA Short Courses in Adelaide, Australia you must first log in to your CARMA account (If you do not already have an account, click here to create one). Click here to be brought to the login page. Once you have logged in, and you are in the User Area, select “Purchase Short Course” on the right side of the page.
Non-member prices per course: *All prices are in US Dollars (USD)
- Faculty/Professional: $900.00
- Students: $700.00
CARMA Member prices per course
- CARMA Members Faculty/Professional: $450.00
- CARMA Members Students: $350.00
- If your organization is not yet a member but would like to become one, please contact us directly at carma@unl.edu
All participants are eligible for the following discount:
- Register for both sessions, receive $75 off the total price.
Advanced Registration Deadline is April 1, 2016. After this date, a $75.00 fee will be added to all registrations.
Academy of International Business CARMA Workshop Registration Page
Intermediate SEM: Model Evaluation – Dr. Larry Williams, University of Nebraska-Lincoln
Dr. Larry J Williams, University of Nebraska-Lincoln
Time: 9:00am-12:00pm
Date: Sunday, June 26th
Description: This workshop 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 some exposure to SEM and
experience in fitting structural equation models with software such
as LISREL, MPlus, EQS, or AMOS. 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 well as advantages and disadvantages of different
approaches
to model evaluation.
The workshop will include (a) review of model
specification and parameter estimation, (b) overview of model
evaluation,
(c) logic and computations for goodness-of-fit measures, (d) analysis
of residuals and latent variables, and (e) model comparison
strategies.
An Introduction to Multi-level Analysis-
Dr. Bob Vandenberg, University of Georgia
Dr. Bob Vandenberg, University of Georgia
Time: 2:00pm-5:00pm
Date: Sunday, June 26th
Description:
An Introduction to Multi-level Analysis The objective
of this workshop is to provide a review of commonly undertaken
practices in multilevel analyses. Given the limited time, focus will
be entirely on how to conduct the analyses using the Mplus software
package.
Therefore, the primary focus is on how to conduct the analyses rather
than the conceptual basis as to why and when multilevel analyses
should be undertaken. We will start with the simplest multilevel
model, and build more and more complex ones using both mediation and
moderation hypotheses. With respect to mediation, participants will
be shown how to test the significance of the indirect effects and how
to conduct bootstrapping. We will repeat this process twice. The
first time will use observed variables only. The second time will
use the same models, but variables will be treated as latent
variables within a structural equation modeling framework.
Participants will be given syntax, and a data file so that they can
either do the analyses in real time during the workshop, or later in
the quiet of their offices.