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Dimotakis Leads Workshops on Multilevel Analysis

Feb 7 2018 9:00 AM
Dimotakis Leads Workshops on Multilevel Analysis
Dimotakis will discuss how to fit basic models in popular statistical packages in February 16 workshop.
The Consortium for the Advancement of Research Methods and Analysis (CARMA) and the Survey Research and Methodology (SRAM) program are co-hosting a spring workshop series on multilevel analysis. Leading the workshops is Dr. Nikolaos Dimotakis, assistant professor of management, at the University of Nebraska–Lincoln.

The workshops cover different facets of multilevel analysis. Whether it is people within teams, organizations within industries or workdays within people, multilevel approaches help produce more robust analyses as well as provide unique insights. This workshop aims to examine the conceptual and empirical underpinnings of these approaches and offers a chance to practice multilevel data analysis and get help with a particular analytical problem.

The workshop focusing on the empirical analysis of multilevel data will be held on Friday, February 16, 10 a.m. to 3 p.m. in CoB 231. Dimotakis will discuss how to fit basic models in popular statistical packages (HLM, MPlus and Stata). He will go over variance partitioning, random intercepts and slopes, and cross-level moderation. He will also discuss multilevel confirmatory factor analysis (CFA) and model evaluation.

“This workshop is set up to acquaint graduate students and faculty with the basic principles of multilevel modeling,” said Dimotakis. “Multilevel modeling helps you avoid potential issues caused by unaccounted for dependence in datasets. That dependence can be an interesting source of information. There might be patterns in dependence of a data set where using multilevel data can help you understand it and capitalize. It can help unite traditional between-unit research with more novel within-unit research.”

The next workshop will be a full day workshop on Friday, April 13, 9:30 a.m. to 4 p.m. Participants will bring a dataset of interest and have the opportunity to discuss any analytical challenges faced with the group and the facilitator. Participants will also be able to practice common analytical approaches and get feedback on their analyses.

Each workshop is free and provides lunch to attendants. Pre-registration is required separately for each workshop. To reserve a spot, please email Barbara Rolfes, administrative coordinator, at brolfes3@unl.edu.

CARMA is an interdisciplinary center at the Nebraska devoted to helping faculty, graduate students and professionals keep up-to-date on developments in various areas of social science research methods and data analysis. For more information, please visit: https://business.unl.edu/carma.

The SRAM program trains students on the best innovative practices in the collection of regional, national and international survey data. The program offers master’s and Ph.D. degrees and a certificate program, as well as master’s and Ph.D. minors for students enrolled in other University of Nebraska–Lincoln graduate programs. For more information, please visit: https://business.unl.edu/sram

Dimotakis Leads Workshops on Multilevel Analysis

Feb 7 2018 9:00 AM
Dimotakis Leads Workshops on Multilevel Analysis
The Consortium for the Advancement of Research Methods and Analysis (CARMA) and the Survey Research and Methodology (SRAM) program are co-hosting a spring workshop series on multilevel analysis. Leading the workshops is Dr. Nikolaos Dimotakis, assistant professor of management, at the University of Nebraska–Lincoln.

The workshops cover different facets of multilevel analysis. Whether it is people within teams, organizations within industries or workdays within people, multilevel approaches help produce more robust analyses as well as provide unique insights. This workshop aims to examine the conceptual and empirical underpinnings of these approaches and offers a chance to practice multilevel data analysis and get help with a particular analytical problem.

The workshop focusing on the empirical analysis of multilevel data will be held on Friday, February 16, 10 a.m. to 3 p.m. in CoB 231. Dimotakis will discuss how to fit basic models in popular statistical packages (HLM, MPlus and Stata). He will go over variance partitioning, random intercepts and slopes, and cross-level moderation. He will also discuss multilevel confirmatory factor analysis (CFA) and model evaluation.

“This workshop is set up to acquaint graduate students and faculty with the basic principles of multilevel modeling,” said Dimotakis. “Multilevel modeling helps you avoid potential issues caused by unaccounted for dependence in datasets. That dependence can be an interesting source of information. There might be patterns in dependence of a data set where using multilevel data can help you understand it and capitalize. It can help unite traditional between-unit research with more novel within-unit research.”

The next workshop will be a full day workshop on Friday, April 13, 9:30 a.m. to 4 p.m. Participants will bring a dataset of interest and have the opportunity to discuss any analytical challenges faced with the group and the facilitator. Participants will also be able to practice common analytical approaches and get feedback on their analyses.

Each workshop is free and provides lunch to attendants. Pre-registration is required separately for each workshop. To reserve a spot, please email Barbara Rolfes, administrative coordinator, at brolfes3@unl.edu.

CARMA is an interdisciplinary center at the Nebraska devoted to helping faculty, graduate students and professionals keep up-to-date on developments in various areas of social science research methods and data analysis. For more information, please visit: https://business.unl.edu/carma.

The SRAM program trains students on the best innovative practices in the collection of regional, national and international survey data. The program offers master’s and Ph.D. degrees and a certificate program, as well as master’s and Ph.D. minors for students enrolled in other University of Nebraska–Lincoln graduate programs. For more information, please visit: https://business.unl.edu/sram