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Briggs, Derek C.; Chattergoon, Rajendra; Burkhardt, Amy – Journal of Educational Measurement, 2019
The process of setting and evaluating student learning objectives (SLOs) has become increasingly popular as an example where classroom assessment is intended to fulfill the dual purpose use of informing instruction and holding teachers accountable. A concern is that the high-stakes purpose may lead to distortions in the inferences about students…
Descriptors: Student Educational Objectives, Student Evaluation, Teacher Evaluation, Scores
Briggs, Derek C.; Alzen, Jessica L. – Educational and Psychological Measurement, 2019
Observation protocol scores are commonly used as status measures to support inferences about teacher practices. When multiple observations are collected for the same teacher over the course of a year, some portion of a teacher's score on each occasion may be attributable to the rater, lesson, and the time of year of the observation. All three of…
Descriptors: Observation, Inferences, Generalizability Theory, Scores
Briggs, Derek C.; Peck, Frederick A. – Measurement: Interdisciplinary Research and Perspectives, 2015
The concept of growth is at the foundation of the policy and practice around systems of educational accountability. It is also at the foundation of what teachers concern themselves with on a daily basis as they help children learn. Yet there is a disconnect between the criterion-referenced intuitions that parents and teachers have for what it…
Descriptors: Achievement Gains, Scaling, Scores, Inferences
Briggs, Derek C.; Ruiz-Primo, Maria Araceli; Furtak, Erin; Shepard, Lorrie; Yin, Yue – Educational Measurement: Issues and Practice, 2012
In a recent article published in "EM:IP," Kingston and Nash report on the results of a meta-analysis on the efficacy of formative assessment. They conclude that the average effect of formative assessment on student achievement is about 0.20 SD units. This would seem to dispel the myth that effects between 0.40 and 0.70 can be attributed to…
Descriptors: Academic Achievement, Outcome Measures, Meta Analysis, Inferences
Briggs, Derek C. – Measurement: Interdisciplinary Research and Perspectives, 2010
The use of large-scale assessments for making high stakes inferences about students and the schools in which they are situated is premised on the assumption that tests are sensitive to good instruction. An increase in the quality of classroom instruction should cause, on the average, an increase in test scores. In work with a number of colleagues…
Descriptors: Measurement, High Stakes Tests, Inferences, Scores
Briggs, Derek C. – Educational Researcher, 2008
When causal inferences are to be synthesized across multiple studies, efforts to establish the magnitude of a causal effect should be balanced by an effort to evaluate the generalizability of the effect. The evaluation of generalizability depends on two factors that are given little attention in current syntheses: construct validity and external…
Descriptors: Test Validity, Construct Validity, Inferences, Educational Policy
Briggs, Derek C. – Partnership for Assessment of Readiness for College and Careers, 2011
There is often confusion about distinctions between growth models and value-added models. The first half of this paper attempts to dispel some of these confusions by clarifying terminology and illustrating by example how the results from a large-scale assessment can and will be used to make inferences about student growth and the value-added…
Descriptors: Value Added Models, Language Usage, Measurement, Inferences
Talbot, Robert M.; Briggs, Derek C. – Measurement: Interdisciplinary Research and Perspectives, 2007
At the core of the argument-based approach to test validation as it has been presented by Kane (1992, 2004, 2006) is a relatively simple premise: test validity is demonstrated by linking the score that is observed from a test instrument to the use of that score for some subsequent inference. Details, however, are not so simple: How does one craft…
Descriptors: Test Validity, Inferences, Knowledge Base for Teaching, Mathematics Education
Briggs, Derek C. – Journal of Educational and Behavioral Statistics, 2004
In the social sciences, evaluating the effectiveness of a program or intervention often leads researchers to draw causal inferences from observational research designs. Bias in estimated causal effects becomes an obvious problem in such settings. This article presents the Heckman Model as an approach sometimes applied to observational data for the…
Descriptors: Social Science Research, Statistical Inference, Causal Models, Test Bias
Briggs, Derek C. – Evaluation Review, 2005
This article raises some questions about the usefulness of meta-analysis as a means of reviewing quantitative research in the social sciences. When a meta-analytic model for SAT coaching is used to predict results from future studies, the amount of prediction error is quite large. Interpretations of meta-analytic regressions and quantifications of…
Descriptors: Inferences, Social Sciences, Meta Analysis, Case Studies