Nebraska Methodology Applications
The Nebraska Methodology Applications series began in 2006 to provide local faculty and students with an opportunity to learn about innovative researchers from the greater Omaha-Lincoln area. These presentations are designed to serve as introductory tutorials for applying methodological approaches in different contexts.
The goal of the series is for scholars to learn new methodological techniques or the latest thinking about a methodological approach. The presentations are video recorded and made accessible online (below).
Upcoming Methodology Applications TrainingFall 2017:
Stephen ScottFriday, November 3, 2017 Nebraska Union – Colonial B
Introduction to Machine Learning
This presentation will cover a basic introduction to many fundamentals and applications of machine learning. Machine learning is a method of data analysis based on the premise that machines can learn through experience.
Matthew FritzFriday, January 26, 2018 Nebraska Union – Colonial A & B
Time is on my side: What British rock bands can teach us about designing longitudinal studies This presentation focuses on the many different decisions that must be made when planning a longitudinal study.More Information
Ann ArthurFriday, March 30, 2018 Nebraska Union – Colonial A & B
An Introduction to Loglinear Models
This presentation briefly summarizes the application of loglinear models for the analysis of categorical data, as well as how the loglinear model serves as a useful reparameterization for logistic models and latent class models.
Past Methodology Applications Training2017
- An Introduction to Cost-Effectiveness and Benefit-Cost Analyses in Education Research
- Profile-based Observational Coding: Capturing Children's Patterns of Responding to Interpersonal Threat
- Evaluating Measurement Invariance with Cross-Cultural Sensitivity
- Mixed Methods Approaches to Facilitate Cultural Understanding: A Socio-Ecological Framework
- Sampling, Recruiting, and Retaining Diverse Samples
- Research Ethics with Minority Communities
- Promises and Pitfalls of Modern Meta-Analysis
- Developing Better Questionnaires and Measures: Psychometric Review
- Developing Better Questionnaires and Measures: Constructing and Testing the Instrument
- Developing Better Questionnaires and Measures: Initial Considerations and Construct Operationalization
- Analyzing Data from Complex Sampling Designs: An Overview and Illustration
- Characterizing Changing Classifications: Practical Illustrations of Latent Transition Analysis (LTA)
- Evaluation for Specific Users and Specific Purposes: The Utilization Focused Evaluation
- Not All Students Need to be Assessed: Research Designs Where Data are Intentionally Missing
- An Introduction to Secondary Data Analysis
- Data Collection via Video: An Introduction to Software for Coding Research Videos
- Meta-Analysis: An Introduction
- Multilevel Models for Complex Clustering: Cross-Classification and Multiple Memberships
- A Primer on Evaluation
- Introduction to Classification Using Mixture Models
Emerging Scholar Workshop
The Emerging Scholar Workshop series began in 2015 and is designed to introduce established scholars (i.e., faculty) and emerging scholars (i.e., graduate students and post-doctoral fellows) to a wide range of methodological topics and tools.
The series provides three opportunities for emerging scholars to interact directly with the speakers: a research talk, a workshop, and a mentoring session.
- The research talk focuses on the speaker’s current research, which may or may not be related to the topic of the workshop.
- The workshop is split into two parts. The first half provides an introduction to the specific methodological topic and the second half is a hands-on session where participants apply these methods to real data using software—with the help of the speaker.
- The mentoring session—which generally follows the workshop—allows emerging scholars to have an open discussion with the speaker on a variety of topics, including professional development and career advice.
Upcoming Emerging Scholar Workshops
Eric Youngstrom University of North Carolina - Chapel HillApril 19-20, 2018 Nebraska Union
Clinical Psychologist with Expertise in Methods Related to Assessment and EvaluationMore Information
Past Emerging Scholar Workshops2017
Psychometrician with an Interest in the Relation between
Quantitative Research Methods and Philosophy of Science
- Mike Edwards, Arizona State University
Generalized Linear Model
- Stefany Coxe, Ph.D., Florida International University
Statistical Power for Multilevel Models
- Jessaca Spybrook, Ph.D., Western Michigan University
Latent Class Analysis
- Bethany Bray, Ph.D., Pennsylvania State University
Nebraska Methodology Workshop
The Nebraska Methodology Workshop series began in 2014 and was created to provide Nebraska scholars an opportunity to learn about the latest advancements in methodology directly from the methodologists who developed these advancements. While the series covers a wide range of topics, all speakers are world-renowned experts in their respective methodological areas.
The length and format of the workshops vary by speaker. To ensure every scholar in the audience has the background necessary to understand the material being presented, each workshop begins with an introduction to the topic and then builds to more complex material. The workshop ends with a keynote presentation that highlights the speaker’s latest work on the topic. Empirical examples and sample statistical software code/output are often provided by the speaker.
Each Nebraska Methodology Workshop is video recorded and made accessible online for those who register for the workshop. Videos and materials are made available to non-registrants 12 months after the workshop date.
Upcoming Nebraska Methodology Workshops2017: TBD 2018: TBD
Past Nebraska Methodology Workshops
- David MacKinnon, Ph.D., Arizona State University
- Missing Data
Bayesian Data Analysis
- David Kaplan, Ph.D., University of Wisconsin–Madison
- Workshop Part 1: What's All the Buzz about Bayes? An Overview of Bayesian Inference for the Social and Behavioral Sciences
- Workshop Part 2: What's All the Buzz about Bayes? An Overview of Bayesian Inference for the Social and Behavioral Sciences
- Keynote Address: Bayesian Model Averaging Over Directed Acyclic Graphs with Implications for Prediction with Structural Equation Models
- David Kaplan, Ph.D., University of Wisconsin–Madison
Structural Equation Modeling
- Rex Kline, Ph.D., Concordia University, Montreal