Impacts of school entry age on academic growth through second grade
By: Angela Johnson, Megan Kuhfeld
Does entering school older give students an edge? New research suggests an early advantage may fade in later grades.Read the brief
This article offers insight and guidance on issues to think about before tests are used as an evaluation tool and to help ensure better choices are made about the role test scores play in a teacher’s evaluation.
Most previous research involving the study of response times has been conducted using locally developed instruments. The purpose of the current study was to examine the amount of rapid-guessing behavior within a commercially available, low-stakes instrument.
By: Steven Wise, J. Carl Setzer, Jill R. van den Heuvel, Guangming Ling
In this article, the authors explain how CAT provides a more precise, accurate picture of the achievement levels of both low-achieving and high-achieving students by adjusting questions as the testing goes along. The immediate, informative test results enable teachers to differentiate instruction to meet individual students’ current academic needs.
By: Edward Freeman
Of particular debate is the impact of transferring from a traditional public school to a charter school on student achievement and growth. We employ propensity score stratification and multilevel models to balance key covariates between treatment and control groups of a cross-state sample of students, which provides a more complex picture of charter school achievement effects in a quasi-experimental context.
By: Beth Tarasawa, Yun Xiang
Modeling student growth has been a federal policy requirement under No Child Left Behind (NCLB). In addition to tracking student growth, the latest Race To The Top (RTTP) federal education policy stipulates the evaluation of teacher effectiveness from the perspective of added value that teachers contribute to student learning and growth. Student growth modeling and teacher value-added modeling are complex.
Positive student achievement and growth results for students in New York suggest that improvements to the teacher evaluation process that emphasize the importance of strong evaluation procedures, the systematic collection of evidence of teacher performance, and the use of data to inform the process, have promise for improving educator effectiveness far more than a narrower punitive approach.
The current study outlines a general process for measuring item-level effort that can be applied to an expanded set of item types and test-taking behaviors (such as omitted or constructed responses). This process, which is illustrated with data from a large-scale assessment program, should improve our ability to detect non-effortful test taking and perform individual score validation.
By: Steven Wise, Lingyun Gao