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Tenko Raykov; Bingsheng Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score based on their components that is associated with the highest possible reliability. Within the framework of structural equation modeling, an approach to…
Descriptors: Multidimensional Scaling, Measurement Equipment, Measurement Techniques, Test Reliability
Raykov, Tenko; Marcoulides, George A. – Measurement: Interdisciplinary Research and Perspectives, 2023
This article outlines a readily applicable procedure for point and interval estimation of the population discrepancy between reliability and the popular Cronbach's coefficient alpha for unidimensional multi-component measuring instruments with uncorrelated errors, which are widely used in behavioral and social research. The method is developed…
Descriptors: Measurement, Test Reliability, Measurement Techniques, Error of Measurement
McNeish, Daniel; Dumas, Denis – Journal of Educational Measurement, 2018
Dynamic measurement modeling (DMM) is a recent framework for measuring developing constructs whose manifestation occurs after an assessment is administered (e.g., learning capacity). Empirical studies have suggested that DMM may improve consequential validity of test scores because DMM learning capacity estimates were shown to be much less related…
Descriptors: Measurement Techniques, Test Reliability, Accuracy, Computation
Zumbo, Bruno D.; Hubley, Anita M. – Assessment in Education: Principles, Policy & Practice, 2016
Ultimately, measures in research, testing, assessment and evaluation are used, or have implications, for ranking, intervention, feedback, decision-making or policy purposes. Explicit recognition of this fact brings the often-ignored and sometimes maligned concept of consequences to the fore. Given that measures have personal and social…
Descriptors: Testing Programs, Testing Problems, Measurement Techniques, Student Evaluation
Shah, Harshini; Niland, Katherine; Kharsa, Miranda; Caronongan, Pia; Moiduddin, Emily – US Department of Health and Human Services, 2020
In 2017, the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF) funded Mathematica to conduct the Infant and Toddler Teacher and Caregiver Competencies (ITTCC) project. The project aims to examine existing efforts across states, institutions of higher education, professional organizations, and…
Descriptors: Infants, Toddlers, Caregivers, Preschool Teachers
Richer, Amanda; Charmaraman, Linda; Ceder, Ineke – Afterschool Matters, 2018
Like instruments used in afterschool programs to assess children's social and emotional growth or to evaluate staff members' performance, instruments used to evaluate program quality should be free from bias. Practitioners and researchers alike want to know that assessment instruments, whatever their type or intent, treat all people fairly and do…
Descriptors: Cultural Differences, Social Bias, Interrater Reliability, Program Evaluation
Goldstein, Harvey – British Educational Research Journal, 2015
A response is made to a paper that urges the use of the Rasch model for educational assessment. This paper argues that the model is inadequate and that claims for its efficacy are exaggerated and technically weak.
Descriptors: Reader Response, Item Response Theory, Educational Assessment, Evaluation Methods
Murawska, Jaclyn M.; Walker, David A. – Mid-Western Educational Researcher, 2017
In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…
Descriptors: Mixed Methods Research, Research Methodology, Visual Aids, Research Tools
Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2014
A method for medical screening is adapted to differential item functioning (DIF). Its essential elements are explicit declarations of the level of DIF that is acceptable and of the loss function that quantifies the consequences of the two kinds of inappropriate classification of an item. Instead of a single level and a single function, sets of…
Descriptors: Test Items, Test Bias, Simulation, Hypothesis Testing
Moodie, Shannon; Daneri, Paula; Goldhagen, Samantha; Halle, Tamara; Green, Katie; LaMonte, Lauren – US Department of Health and Human Services, 2014
For children age birth to five, physical, cognitive, linguistic, and social-emotional growth and development occur at a rapid pace. While all children in this age range may not reach developmental milestones (e.g., smiling, saying first words, taking first steps) at the same time, development that does not happen within an expected timeframe can…
Descriptors: Young Children, Child Development, Screening Tests, Measurement Techniques
Gardner, John – Oxford Review of Education, 2013
Evidence from recent research suggests that in the UK the public perception of errors in national examinations is that they are simply mistakes; events that are preventable. This perception predominates over the more sophisticated technical view that errors arise from many sources and create an inevitable variability in assessment outcomes. The…
Descriptors: Educational Assessment, Public Opinion, Error of Measurement, Foreign Countries
Hur, Eun Hye; Glassman, Michael; Kim, Yunhwan – Educational Assessment, Evaluation and Accountability, 2013
This paper developed a Democratic Classroom Survey to measure students' perceived democratic environment of the classroom. Perceived democratic environment is one of the most important variables for understanding classroom activity and indeed any type of group activity, but actually measuring perceptions in an objective manner has been…
Descriptors: Classroom Environment, Test Construction, Program Validation, Democratic Values
Bill & Melinda Gates Foundation, 2012
No one has a bigger stake in teaching effectiveness than students. Nor are there any better experts on how teaching is experienced by its intended beneficiaries. Only recently have many policymakers and practitioners come to recognize that--when asked the right questions, in the right ways--students can be an important source of information on the…
Descriptors: Student Surveys, Student Attitudes, Feedback (Response), Test Validity
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Hutchison, Dougal – Oxford Review of Education, 2008
There is a degree of instability in any measurement, so that if it is repeated, it is possible that a different result may be obtained. Such instability, generally described as "measurement error", may affect the conclusions drawn from an investigation, and methods exist for allowing it. It is less widely known that different disciplines, and…
Descriptors: Measurement Techniques, Data Analysis, Error of Measurement, Test Reliability