MONDAY 1^st - WEDNESDAY 3^rd July

1) Introduction to Research Methods I: Measurement, Design, and Analysis | Dr. Larry Williams, University of Nebraska-Lincoln

Description: This short course provides an introduction to organizational and social science research. We begin with an empiricalresearch 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.

 

2) Introduction to Multilevel Analysis | Dr. Bob Vandenberg, University of Georgia

Description: The purpose of this short course is to provide in depth coverage of multilevel modeling using the MPlus statistical softwarepackage. The course is primarily introductory in nature. It starts with an overview of the conceptual underpinnings for undertaking multilevel studies in the first place. Examples of topics include aggregation issues, and similarity indices. Next, a considerable amount of time is spent on random coefficients multilevel modeling. There is a progression in the latter module from analyses used to test the assumptions for aggregation to complex ones involving mediation, cross-level interactions, and models in which there are variables only at the between and within levels of analyses. The examples illustrate both the random vector of means and of coefficients/slopes. None of the examples in this module are structural equation models using latent variables. The examples in this module incorporate observed variables only. About half of the time is spent by the instructor illustrating an example, and then the participants are given time to run models the other half of the time. Data will be provided, but the participant may want to bring his/her own data as well. Participants will be given a comprehensive handout with all the examples including syntax. Time permitting and if desired by the participants, the workshop will progress into structural equation multilevel modeling. The examples are the same as in the previous module except now most of the variables are modeled as latent variables.

  THURSDAY 19^th - SATURDAY 21^th July

Qualitative Techniques: Case Method, Grounded Theory, Interviewing | Dr. Tine Koehler, University of Melbourne

Description: The purpose of this workshop is to provide an overview over some of the most often used qualitative research methods andtechniques, i.e., case method, grounded theory, and interviewing. On the first two days, this course will provide attendees with an overview of the core tenets of case methodology and grounded theory method as well as with an introduction to different popular approaches to carry out these methodologies. Rather than advocating for one approach over others, we will discuss the strengths and weaknesses of several approaches and discuss their suitability to different research questions, settings, and samples. We will also discuss how these approaches may differ depending on the chosen ontology and epistemology of the researcher. On the third day, we will discuss interviewing as a data collection technique, specifically highlighting how interviewing has to be employed differently in different research paradigms and with different qualitative research methods.

 

Design and Analysis of Experiments | Dr. Ron Landis, Illinois Institute of Technology

Course Description: This course will cover fundamental topics in experimental design and analysis. Participants should have had at leastone introductory statistical methods course. This short course will begin with a review of t-tests, p-values, confidence intervals, and the basics of regression and ANOVA. The course will then move to coverage of (a) fixed-effects, completely randomized designs and (b) advanced topics such as factorial designs, random effects, blocking, split-plots, and the incorporation of covariates. For all topics, we will discuss the strengths and limitations of various designs, appropriate analyses using data collected from different designs, how we check underlying assumptions, consider statistical power, and how we should report our results. There will be significant opportunities of application of content through exercises and discussion.

These are specifically designed for PhD students, junior researchers or faculty members wanting to strengthen or refresh their knowledge on a specific research method or tool.

  ACCOMODATION

Hotels in Padova
Hotel	Internet address	address	quality of hotels
Hotel Galileo	www.hotelgalileopadova.it	via Venezia, 30 (Fair district)	three stars
Hotel Donatello	www.hoteldonatello.net	via del Santo, 102/104 (near Basilica del Santo)	four stars
Hotel Al Santo	www.alsanto.it	via del Santo, 147 (near Basilica del Santo)	three stars
Hotel Giotto	www.hotelgiotto.com	Piazzale Pontecorvo, 33 (near Basilica del Santo)	three stars
Hotel NH	www.nh-hotels.com	Via G.B. Pergolesi, 24 (Fair district)	four stars
Hotel Europa	www.hoteleuropapd.it	Largo Europa, 9 (city centre)	three stars

 

In addition, we have secured some rooms (low budget) at the university residence (option until June 15^th).

Some of the junior attendees may want to consider it.

  What is CARMA?

CARMA, the Consortium for the Advancement of Research Methods and Analysis, is an interdisciplinary consortium devoted to helping faculty, graduate students and professionals learn of current developments in various areas of research methods and statistics. Our focus in research methods is relevant to the management and organizational sciences. CARMA is a non-profit unit at the University of Nebraska-Lincoln, College of Business Administration. CARMA was established in 1997 by Dr. Larry J. Williams (former Chairperson of the Research Methods Division of the Academy of Management and Founding Editor of Organizational Research Methods) and was located at Virginia Commonwealth University in Richmond, Virginia from 1997-2009. From 2010-2014 CARMA was located at Wayne State University in Detroit, MI. Then, from 2014-2016 we were hosted at the University of North Dakota. Dr. Williams joined the faculty at UNL in the summer of 2016, bringing CARMA with him.

  CARMA's Goals

• To provide continuing education on research methods and data analysis (introductory to advanced level topics) for graduate students, faculty at various stages of their careers, and professionals

• To serve as a resource for those who teach research methods and data analysis
• To foster a sense of community among organizational scholars in research methods

  What are CARMA Short Courses?

• Two or two and a half day sessions on research method or data analysis topics.
• Place an emphasis on hands-on experience and the application of methodology aimed at skill development through equal amounts of lecture and lab-time.
• Instructors are leading methodological scholars recognized within the organizational studies and management areas as experts on their topics. Several are current or past editors of leading organizational journals.

• Include introductory and advanced training on topics that might not be readily available at your institution.
• Provide students and faculty with the opportunity to network with leading scholars and other students/faculty in their areas of interest.

  CARMA Short Course Discount

• Individuals from the CARMA Member Institutions receive a 50% discounted rate on Short Course fees.

Short Course Prices

	One Course		Two Courses
	Faculty	Student	Faculty	Student
CARMA member	$400 USD	$300 USD	$725 USD	$525 USD
Non-member	$800 USD	$600 USD	$1525 USD	$1125 USD