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).

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Upcoming Methodology Applications Training

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Past Methodology Applications Training

2023

• Treatment Fidelity from a Measurement Perspective

2022

• Lessons from the Field: What it Really Takes to Move From Research to Practice in a Large Urban School District
• Using Implementation Science to Improve Adoption and Sustained Implementation of Interventions in Schools
• Unpacking Latinx/Hispanic Ethnicity: Using an Intersectionality Approach to Understand Health Among Older Latinxs
• Leveraging Community-Based Participatory Research (CBPR) to Enhance Design, Innovation and Cultural Appropriateness

2021

• Fairness in Assessment: The Imperative of Equity, Anti-racism and Justice
• Space, Scale and Site: The Limits and Lies in Our Understandings of Residential Segregation
• Measuring Dyadic Relationships: Introduction to Dyadic Indices and Approaches
• Using Network Analysis to Measure Social Cohesion: Complete versus Sampled Network Data
• Modern Psychometric Approaches for Diagnostic Assessment

2020

• Modeling Context: To Kansas and Beyond
• Measuring Time-to-Event: Introduction to Survival Analysis
• Seeing the Forest Plot for the Trees: Using Meta-Analysis to Synthesize Research
• Regression Discontinuity Designs in Social Science Research: Causal Inference of Cutoff-based Programs
• Pursuing Causal Inferences in the Absence (or Failure) of Random Assignment: An Introduction to Propensity Score Analysis

2019

• Single-Case Experimental Designs: Can You Really Conduct a True Experiment With So Few Participants?
• Cluster Randomized Trials in Education: Lessons Learned, Migraines Overcome, and Crises Averted
• Addressing One Research Question Using Multiple Methodological Approaches
• Collecting Your Own Data: Improving Data Quality Through Qualtrics Survey Design

2018

• Adaptation in the Social, Behavioral and Education Sciences: Implications for Measurement, Evaluation and Intervention
• Time is on my side: What British rock bands can teach us about designing longitudinal studies
• An Introduction to Loglinear Models

2017

• Introduction to Machine Learning
• 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

2016

• 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

2015

• 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

2012

• 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

2011

• 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

2010

• Measurement Invariance in Longitudinal Data

Nebraska Methodology Workshop Series

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 Series event 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.

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Upcoming Nebraska Methodology Workshop Series

No training events are currently scheduled.

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Past Nebraska Methodology Workshop Series

2022

• Understanding Critical Race Mixed Methodology by Exploring the Experiences of African American Students
  • Jessica DeCuir-Gunby, Ph.D., North Carolina State University
    • Research Keynote: Understanding Critical Race Mixed Methodology by Exploring the Experiences of African American Students
    • Workshop Part 1: Developing a Critical Race Mixed Methods Study: Combining Critical Race Theory and Mixed Methods Research
    • Workshop Part 2: Developing a Critical Race Mixed Methods Study: Combining Critical Race Theory and Mixed Methods Research

2021

• Causal Generalizations
  • Elizabeth Tipton, Ph.D., Northwestern University
    • Keynote Address: Causal Generalizations: Building Connections Between Science and Policy
    • Workshop Part 1: The Generalizer: A Free Tool to Help You Design Sample Recruitment Plans
    • Workshop Part 2: Introduction to Methods for Large Meta-Analyses>

• Trauma for Sexual and Gender Minorities: Results from a Community-based Participatory Research Survey
  • Mark Bond, University of Texas at Austin
    • Keynote Address: "Trauma for Sexual and Gender Minorities: Results from a Community-based Participatory Research Survey"
    • Workshop — Part 1: "An Introduction to Bayesian Hierarchical Linear Modeling" and Part 2: "Fitting Bayesian Hierarchical Linear Models in R"

2016

• Mediation
  • David MacKinnon, Ph.D., Arizona State University
    • Workshop Part 1: Introduction to Modern Mediation Analysis
    • Workshop Part 2: Introduction to Modern Mediation Analysis
    • Keynote Address: Controversies in Modern Mediation Analysis

2015

• Missing Data
  • Craig Enders, Ph.D., University of California, Los Angeles
    • Workshop Part 1: Dealing with Missing Data
    • Workshop Part 2: Dealing with 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

2014

• Structural Equation Modeling
  • Rex Kline, Ph.D., Concordia University, Montreal
    • Workshop Part 1: New Developments in Structural Equation Modeling, Set A: SCM
    • Workshop Part 2: New Developments in Structural Equation Modeling, Set B: Mediation
    • Keynote Address: Hello, Statistics Reform

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.

While the research talk and workshop are open to all scholars, the mentoring session is for emerging scholars only. Due to the hands-on nature of the workshop and mentoring session, these portions are not video recorded. Workshop materials are only available to registered participants.

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Past Emerging Scholar Workshops

2019

• Applied Research Methodologist with Expertise in Assessing Communication Skills Using Virtual Human Technology
  • Tim Guetterman, University of Michigan
    • Keynote Address: "Training and Assessing Communication Skills Using Virtual Human Technology"

2018

• Clinical Psychologist with Expertise in Methods Related to Assessment and Evaluation
  • Eric Youngstrom, University of North Carolina - Chapel Hill
    • Keynote Address: "Moving from Intuition to Machine Learning"
    • Workshop Part 1: "Are you Ready to ROC?"
    • Workshop Part 2: "We’ll be ROCing Together"

2017

• Psychometrician with an Interest in the Relation between Quantitative Research Methods and Philosophy of Science
  • Mike Edwards, Arizona State University
    • Keynote Address: "Does model fit have a validity problem?"
• Generalized Linear Model
  • Stefany Coxe, Ph.D., Florida International University

2016

• Statistical Power for Multilevel Models
  • Jessaca Spybrook, Ph.D., Western Michigan University
    • Keynote Address: Moving Beyond the Average Treatment Effect: A Look at Power Analyses for Moderator Effects in Cluster Randomized Trials

2015

• Latent Class Analysis
  • Bethany Bray, Ph.D., Pennsylvania State University
    • Keynote Address: The Good, The Bad, and The Ugly: What We Know Today About Latent Class Analysis with Distal Outcomes