|Editors:||April Zenisky, University of Massachusetts Amherst|
|Lisa Keller, University of Massachusetts Amherst|
Practical Assessment, Research, and Evaluation is an online journal providing access to refereed articles that can have a positive impact on assessment, research, and evaluation. Manuscripts published in PARE are scholarly syntheses of research and ideas about methodological issues and practices, and offer unique contributions to the literature. PARE is intended to help members of the community keep up-to-date with effective methods, trends, and research developments from a variety of settings.
PARE is also committed to highlighting research that focuses on equity in assessment and measurement. To that end, we encourage the submission of manuscripts that address issues of equity and fairness – particularly articles that focuses on the assessment experiences and outcomes for historically marginalized populations.
See About This Journal for complete coverage of the journal.
Current Volume: Volume 27 (2022)
Autocorrelation Screening: A Potentially Efficient Method for Detecting Repetitive Response Patterns in Questionnaire Data
Jaroslav Gottfried, Stanislav Ježek, Maria Králová, and Tomáš Řiháček
Explained: Artificial Intelligence for Propensity Score Estimation in Multilevel Educational Settings
Zachary K. Collier, Haobai Zhang, and Liu Liu
An Enhancement to the Theory and Measurement of Purpose
Larry H. Ludlow, Theresa O'Keefe, Henry Braun, Ella Anghel, Olivia Szendey, Christina Matz, and Burton Howell
Reinstatement Candidate Credentialing Exam Performance: Evaluating the Persistence of Misinformed Responses on Multiple Choice Items
Ben Babcock and Zachary D. Siegel
Measuring Student Reading Comprehension Performance: Considerations of Accuracy, Equity, and Engagement by Embedding Comprehension Items within Reading Passages
Meg Guerreiro, Elizabeth Barker, and Janice Johnson
A Mixed-methods Approach for Assessing Student Learning Gains in English Listening Comprehension
Dr. Yingchen Wang, Dr. Xiaoxin Wei, Yamin Liu, and Tiffany Chiu
Incorporating Complex Sampling Weights in Multilevel Analyses of Education Data
Ting Shen and Spyros Konstantopoulos
Countering Deficit Narratives in Quantitative Educational Research
Michael Russell, Carly Oddleifson, Micayla Russell Kish, and Larry Kaplan
Reimagining MTMM Designs for Examining Intersectionality in Latent Variables
Timothy R. Konold and Elizabeth Sanders