AERA Virtual Research Learning Center

Newly Offered Through the AERA-VRLC

AERA Fellowship Program on the Study of Deeper Learning - Informational Webinar
Instructors: Michael Garet, American Institutes for Research, George L. Wimberly, American Educational Research Association, Kristina Zeiser, American Institutes for Research

The American Educational Research Association (AERA) presents this informational webinar to provide an overview and describe the award components of the AERA-Study of Deeper Learning (SDL) Fellowship Program. The Deeper Learning data collected by the American Institutes for Research (AIR) includes a wealth of information from schools, students, and teachers at a sample of Deeper Learning network high schools and non-network high schools. Researchers discuss accessing and analyzing the Deeper Learning databases, along with potential topics and research questions that can be examined with the data. The discussion focuses on how to apply for the AERA-SDL Fellowship, eligibility requirements, and the professional development and training provided through the program. This project is supported by The William and Flora Hewlett Foundation.

VRLC Courses Offered at the 2016 AERA Annual Meeting

PDC04: An Introduction to Hierarchical Linear Modeling for Education Researchers
Instructors: D. Betsy McCoach, University of Connecticut; Ann A. O’ Connell, The Ohio State University
Date: Friday, April 8, 8:00 a.m. – 3:45 p.m.
Fee: $125

This course will introduce the fundamentals of hierarchical linear modeling (HLM), focusing on fundamental concepts and practical applications with very minimal emphasis on statistical theory. In addition to presenting a conceptual overview of HLM, the instructors will utilize a school-based example to demonstrate the application of HLM within an organizational framework. Participants will learn how to analyze 2-level data using HLM 7, and they will learn to interpret the results of the analyses. Instruction will consist of lecture, demonstrations of the software, and hands-on data analysis opportunities. Students should bring a laptop equipped with the free student version of HLMv7 (from and SPSS or another data manipulation software. The course example data will run on the student version of HLM. (Please note that there is no MAC version of the HLM software program.)

PDC16: Crafting the Story: An Introduction to Writing With Qualitative Data
Instructors: Karri A. Holley, The University of Alabama; Michael S. Harris, Southern Methodist University
Date: Saturday, April 9, 8:00 a.m. – 12:00 p.m.
Fee: $55

In this course, participants will examine and use narrative devices inherent to the writing of qualitative research. This interactive session will be conducted in the format of a writing course. Participants will engage with transcripts from an extant research study and cast analyzed data into different report styles, using rhetorical structures common to the different styles associated with the various qualitative research designs. The goal of this course is to conceptualize writing with qualitative data as storytelling. By the end of the course, participants will be able to 1) discuss common report styles and structures in qualitative research, 2) explain the role of writer perspective and intentionality in writing, 3) describe the influence of a writer’s relationship to the intended audience, 4) define the key elements of storytelling and their relationship to qualitative research, and 5) demonstrate how these elements can be used in their own research. The course is designed for advanced graduate students and early career scholars interested in qualitative research. Participants should have a working knowledge of qualitative research, have completed at least an introductory course in the field, and have experience reading, coding, and writing from transcripts. They will be tasked with a short writing assignment before the course. Participants should bring laptops and be prepared to write and share what they have written with other participants.

PDC22: Analyzing the Civil Rights Data Collection for Education Policy Research
Instructors: Janis D. Brown, U.S. Department of Education
Date: Sunday, April 10, 8:00 a.m. – 12:00 p.m.
Fee: $95

This course will provide graduate students, researchers, and practitioners with information on how to access and analyze the Civil Rights Data Collection (CRDC), a large-scale data set managed by the Office for Civil Rights (OCR) in the U.S. Department of Education. The CRDC is a universe collection of school districts on key education and civil rights issues in our nation’ s public schools. The data collected include student enrollment, educational programs and services, school discipline, and indicators of college and career readiness. Most data are disaggregated by race/ethnicity, sex, limited English proficiency, and disability. The course will include informational presentations, extensive demonstrations, several hands-on exercises, and group work discussions. Topics covered are: 1) an overview of the CRDC survey design; 2) demonstration of online data tools for accessing and analyzing CRDC data; and 3) sharing tricks and techniques for analyzing large-scale data sets. Participants will learn to 1) analyze CRDC data using online tools, 2) conduct statistical tests, 3) create data tables and graphs, and 4) understand how to obtain a restricted-use data license. Participants should have a general knowledge of research methods and statistics. Participants must bring their own laptop.

Also Available through the AERA-VRLC

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Sensitivity Analysis: Quantifying the Discourse About Causal Inference

Kenneth Frank
Instructors: Kenneth Frank, Michigan State University

Participants will learn how to quantify concerns about causal inferences due to unobserved variables or populations.

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VRLC Course Trailer:
Sensitivity Analysis

Improving Generalizations from Experiments: New Methods

Larry V. Hedges

Elizabeth Tipton
Instructors: Larry V. Hedges, Northwestern University; Elizabeth Tipton, Teachers College, Columbia University

Course is aimed at researchers of all levels who are interested in either making generalizations from large-scale experiments that have been completed or planning to conduct large-scale experiments.

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VRLC Course Trailer:
Improving Generalizations from Experiments

How to Get Published: Guidance from Emerging and Senior Scholars (2014)

Patricia A.
Instructors: Patricia A. Alexander, University of Maryland – College Park; Sandra Loughlin, University of Maryland – College Park; Emily Grossnickle, University of Maryland – College Park; Alexandra List, University of Maryland – College Park; Jeffery A. Greene, University of North Carolina, Chapel Hill; Matthew McCrudden, Victoria, University of Wellington, New Zealand; Panayiota Kendeou, Neapolis University Pafos, Cyprus; Gregory Hancock, University of Maryland – College Park; Diane Schallert, University of Texas, Austin; Sofie Loyens, Erasmus University Rotterdam, Netherlands; DeLeon Gray, North Carolina State University

This course will provide graduate students and early career faculty with critical information about how to publish.

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VRLC Course Trailer:
How to Get Published (2014)

Mapping Your Educational Research: Putting Spatial Concepts into Practice with GIS
Instructors: Mark Hogrebe, Washington University in St. Louis; Doug Geverdt, U.S. Census Bureau

This course introduces geographic information systems technology (GIS) as a means to help researchers investigate the spatial context of education.

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VRLC Course Trailer:
Mapping Your Educational Research

How to Analyze Large-Scale Assessments Data from Matrix Booklet Sampling Design: Focus on Psychometrics behind and Hands-on Analysis Using Actual Sample Data 
The goal of this course is to provide researchers who are interested in large-scale assessments data from matrix booklet sampling design. 

Course Description/Registration | Course Trailer

How to Get Published: Guidance from Emerging and Senior Scholars (2013)
This course will provide graduate students and early career faculty and researchers with critical information about how to publish.

Course Description/Registration|Course Trailer

VRLC Course Trailer:
How to Get Published (2013)

International Education Research Made Easier: How to Use Several Free Online Data Tools 
This course will cover how to use three newly developed web tools applicable to education research at the national and international level. 

Course Description/Registration | Course Trailer

Introduction to the Measures of Effective Teaching (MET) Longitudinal Database - OPEN ACCESS COURSE 
This course introduces researchers to data collected by the Measures of Effective Teaching (MET) Project. Supported by a grant from the Gates Foundation. 

Course Description/Registration | AERA-MET Dissertation Fellowship Webinar | Course Trailer

VRLC Course Trailer:
Introduction to the MET Database

Using the National Longitudinal Surveys of Youth for Education Research
This course will introduce new users, and reacquaint past users with the National Longitudinal Survey of Youth (NLSY79), the NLSY79 Child and Young Adult, and the NLSY97 data sets. 

Course Description/Registration | Course Trailer

About the AERA-VRLC

The AERA Virtual Research Learning Center (VRLC) is a virtual space for students, early career and advanced scholars, practitioners, and others in the education research community to receive professional development and research capacitybuilding trainings. 
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To access the AERA-VRLC, visit the AERA-VRLC Registration Website.

Contact AERA-VRLC at with any questions.

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