The MAP Academy will host the Spring 2015 Nebraska Methodology Workshop Monday, April 13 at the Nebraska Innovation Campus. The workshop features David Kaplan, the Patricia Busk Professor of Quantitative Methods in the Department of Educational Psychology at the University of Wisconsin–Madison.
Category: Research, Measurement & Evaluation Methods
MAP Academy introduces Emerging Scholars Series
The Nebraska Academy for Methodology, Analytics and Psychometrics will host Bethany Bray for the Emerging Scholars Series April 9-10. The inaugural two-day event includes a keynote presentation, statistics workshop and a meeting for graduate students and postdocs.
Watch third Methodology Application presentation
In the third presentation of the Methodology Applications Series, MAP Academy Methodologist Ann Arthur discusses “Developing Better Questionnaires and Measures: Constructing and Testing the Instrument.”
The development of questionnaires and other non-cognitive measures is a challenging task in the research process. This presentation is the second of a three-part series integrating practical strategies and best practices in questionnaire and measurement development from the fields of psychometrics, survey research and educational psychology. It is designed to help researchers write and refine questions and items in a way that reflects the intended construct(s), optimizes the response process and minimizes measurement error.
Watch second Methodology Application presentation
In the second presentation of the Methodology Applications Series, research assistant professor Michelle Howell Smith discusses “Developing Better Questionnaires and Measures: Initial Considerations and Construct Operationalization.”
This presentation is the first of a three-part series integrating practical strategies and best practices in questionnaire and measurement development from the fields of psychometrics, survey research and educational psychology. Howell Smith shares strategies for developing internal consistency among concepts, constructs, indicators and items, to obtain meaningful results.
Bovaird, engineering faculty receive EPA ‘healthy schools’ grant
Advanced methodology sets the foundation for a UNL team studying the effects of school environment on student performance.
CYFS faculty affiliate Jim Bovaird, founding director of the MAP Academy and associate professor of educational psychology, joins faculty from the Durham School of Architectural Engineering and Construction for a four-year study of schools’ indoor environmental effects on the academic achievement of students from kindergarten through 12th grade.
MAP Academy hosts Kline methodology workshop
The Nebraska Academy for Methodology, Analytics and Psychometrics continues its mission to promote inter-disciplinary research with the Nebraska Methodology Workshop series. Students, faculty and community members gathered Nov. 10 at the Nebraska Innovation Campus for the first workshop by methodologist Rex Kline.
Postdoc Hawley recognized for research on teacher assessment
Leslie Hawley, a postdoctoral trainee with the CYFS Statistics and Research Methodology Unit, will receive a University of Nebraska-Lincoln research award that recognizes her dissertation’s potential to improve the evaluation of K-12 teachers.
UNL’s Phi Delta Kappa Chapter recently announced Hawley as the recipient of its Dr. Ron Joekel Research Award, which honors outstanding education-focused research conducted by a UNL graduate student. Hawley, who completed her doctorate from UNL’s Qualitative, Quantitative and Psychometric Methods program in December 2012, will receive the $1,500 award at a fall meeting of the PDK Chapter.
CYFS statisticians Bovaird, Koziol write handbook chapter
Two members of the CYFS Statistics and Research Methodology Unit have contributed a chapter to the recently published “Handbook of Structural Equation Modeling.”
James Bovaird, director of the SRM Unit, and Natalie Koziol, doctoral student affiliate in educational psychology and statistics, addressed advanced applications of the increasingly prevalent structural equation modeling technique. Their chapter outlines the modeling of ordinal data associated with latent variables, which are not directly observable but can be estimated from the values of other related variables.