CARMA Live Online Short Courses 

South America Region

ALL PARTICIPANTS RECEIVE CARMA MEMBER 50 % DISCOUNT!

$375 FOR STUDENTS, $475 FOR FACULTY and ADDITIONAL $100 DISCOUNT FOR THE SECOND COURSE (SEE BELOW)

REGISTER FOR CARMA GLOBAL SHORT COURSES FROM ANY REGION

“Introduction to Structural Equation Models”- Dr. Jose Cortina, George Mason University

Course Description

The Introduction to Structural Equation Methods Short Course provides (a) introductory coverage of 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. 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.
• learn the conceptual and statistical assumptions underlying confirmatory latent variable analysis.
• 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 LAVAAN and LISREL.
• learn how latent variable techniques can be applied to contemporary research issues in organizational research.
• learn how the application of current latent variable techniques in organizational research differs from traditional techniques used in this literature
• complete in-class exercises using LAVAAN and LISREL.

Required Software: R installed with LAVAAN package (R (download here), RStudio (download here)) or LISREL (free trial edition)

“Advanced Data Analysis with R” – Dr. Chelsea Song, Purdue University

Course Description

This short course will begin with an introduction to linear regression analysis with R, including models for single/multiple predictors and model comparison techniques. Particular attention will be paid to using regression to test models involving mediation and moderation, followed by consideration of advanced topics including multivariate regression, use of polynomial regression, logistic regression, and the general linear model. Exploratory factor analysis and MANOVA will also be covered. For all topics, examples will be discussed and assignments completed using either data provided by the instructor or by the short course participants.

“Introduction to Research Methods:  Measurement, Design, and Analysis” – Dr. Larry Williams, Texas Tech University

Course Description

This short course introduces graduate students and faculty to organizational and social science research.  We begin with an empirical research model as a framework to discuss constructs, variables, and criteria for causality. We then consider various types of validity and techniques for their assessment, with an emphasis on construct validity and survey measures.  Statistics for theory testing in experimental and non-experimental settings are presented, with an emphasis on experimental vs. statistical control.  A series of assignments are used to illustrate course concepts, and basic analyses with SPSS are incorporated.

“Crafting High Quality Qualitative Research via a Phronetic Iterative Approach” –  Dr. Sarah J. Tracy, Arizona State University

Course Description

This workshop offers strategies for achieving quality in qualitative research across disciplines and paradigmatic leanings. Based upon material in the instructor’s book Qualitative Research Methods: Collecting Evidence, Crafting Analysis, Communicating Impact and article, Qualitative quality: Eight “big-tent” criteria for excellent qualitative research, participants will learn techniques so that their research evidences: 1) worthy topic, 2) rich rigor, 3) sincerity, 4) credibility, 5) resonance, 6) significant contribution, 7) ethics and 8) meaningful coherence.  Along the way, they will be presented with claim-making and theory building heuristics that help their research have resonance and significance beyond the case at hand. This workshop is ideal for researchers, grant-writers, and instructors of qualitative methods—both those new to these areas as well as experienced. This eight-point conceptualization offers a useful pedagogical model and provides a common language of qualitative best practices that can be recognized as integral by a variety of audiences.

As a result of the workshop, participants will learn to:

• Craft a topic that is heard as relevant, timely, significant and interesting to core audiences
• Create rich rigor through using sufficient, abundant, appropriate, and complex theories, data, constructs, and analysis processes
• Communicate sincerity by being self-reflexive and transparent
• Mark credibility through thick description, triangulation, crystallization, multivocality, and member reflections
• Fashion resonant research that influences and moves audiences through aesthetic representation, naturalistic generalization, and transferable findings
• Develop a significant contribution—theoretically, practically, morally, methodologically, and heuristically
• Practice qualitative ethics–including procedural, situational, relational, and exiting considerations
• Craft meaningful coherence by interconnecting literature, research questions, findings and interpretations so that they fit together, cohere with the study’s goals, and connect with the audience’s expectations.

Tracy, S. J. (2020). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact, 2^nd Ed. Hoboken, NJ: Wiley-Blackwell.

Tracy, S. J. (2010). Qualitative quality: Eight “big-tent” criteria for excellent qualitative research. Qualitative Inquiry, 16, 837-851.

Registration, Pricing, Advanced Registration Deadline and Time Schedule

To register for 2020 CARMA Live Online Short Courses, you must first log in to your CARMA account (If you do not already have an account, please sign-up as a website user). Once you have logged in, and you are in the User Area, select “Purchase Short Course” on the right side of the page.

** – These prices reflect a 50% discount that you receive if you are student/faculty at an organization that is a member of the CARMA Institutional Premium Membership OR the CARMA Institutional Basic Membership Program.

*** – These prices reflect a discount in which you register for 2 courses and receive $100 off for the second course.

****–These prices reflect a 20% discount for members of following associations; Academy of Management (AOM), Southern Management Association (SMA), Society for Industrial and Organizational Psychology (SIOP), Asia AOM (AAOM), International Association for Chinese Management Research (IACMR), European Academy of Management (EURAM), European Association of Work and Organizational Psychology (EAWOP), Academy of International of Business (AIB), Australia and New Zealand Academy of Management (ANZAM), and Indian Academy of Management (INDAM), Midwest Academy of Management (MAM), and Iberoamerican Academy of Management (IAOM). This discount can not be applied if you are also using CARMA membership discount.

If you are a member of AOM, SIOP, SMA, AAOM, IACMR, EURAM, EAWOP, AIB, ANZAM, INDAM, MAM, and IAOM you can use one of the following discount codes when registering for these short courses:

Faculty Code: 3fcb-81b0
Student Code: 24a7-18ea

Note that we will be verifying association membership for all those who use these discount codes. Anyone who uses one of these discount codes and is not a member of those associations will be required to pay the non member rate.
If your organization is not yet a member but would like to become one, please contact us directly at carma@ttu.edu.

All participants are eligible for the following discount:
Register for both sessions, receive $100 off the total price.

Refund Policy: Full refund will be provided up to 2 weeks before the first day of the session. After that date, partial refund (50%) will be provided.

Time Schedule

For the time schedule of different countries/cities click here.

For the time zone converter click here.