CARMA Research Methods Short Courses at UniSA The School of Management is pleased to be hosting three short courses presented by the world-renowned Consortium for the Advancement of Research Methods and Analysis (CARMA). CARMA instructors are recognised as leading international experts in the field of research methodology. This is a great opportunity to practice and develop your skills in research methods and meet some of the greatest names in the field. Don't miss the chance to learn best practice from international experts. | When: | 10 – 13 April 2018 | | Time: | 9:00am – 5:30pm | | Where: | North Terrace, UniSA City West Campus [ view map ] | Cost and Registration Staff and students from CARMA member institutions can enrol in each session at the discounted fee of US$450 (staff) and US$350 (students). Non-CARMA member institution fees are US$900 (staff) and US$700 (students). Enrol in both sessions to receive US$75 off the total price. SESSION 1 - April 10 & 11 Full days Choose ONE of the following options Option 1: Introduction to research methods I: Measurement, design and analysis
Professor Larry Williams, University of Nebraska-Lincoln Course Description: This course provides an introduction to organisational and social science research. We begin with an empirical research model as a framework to discuss constructs, variables, and criteria for causality. We then move on to consider validity, survey measures, and statistics for theory testing. A series of assignments are used to illustrate course concepts, and basic analyses with SPSS are incorporated. Option 2: Intermediate regression
Professor Ronald Landis, Illinois Institute of Technology Course Description: This course provides attendees a sound foundation for the concepts that underlie multiple regression and practice implementing multiple regression analyses to answer common research questions. The course will begin with a brief review of simple linear regression, followed by consideration of topics including multivariate regression, polynomial regression, logistic regression, and the general linear model. Analyses will be illustrated using both R and SPSS. SESSION 2 - April 12 & 13 Full days Mixed methods and qualitative comparative analysis
Professor Thomas Greckhamer, Louisiana State University Course Description: This course begins with an overview of mixed methods research designs, including sequential explanatory, exploratory, and transformational versions, as well as concurrent triangulation, nested, and transformative alternatives. Next, Qualitative Comparative Analysis (QCA) is introduced as an increasingly popular approach in management research that is relevant for qualitative and quantitative researchers alike. The course includes hands-on application of QCA, Crisp- and Fuzzy-Set analyses, the interpretation of QCA results, and the potential of using QCA as part of mixed methods research designs. FULL COURSE DESCRIPTIONS HERE |