Sentences with phrase «using test score data»

This study reiterates what others have found before it: teacher effectiveness, which can be partly evaluated using test score data, has the power to affect the futures of innumerable students, for better or worse.

Backers call the evaluations a way to help ensure quality teachers, and that repeated delays in using test score data were becoming a problem.

Using test score data from the National Assessment of Educational Progress, we also find that reforms cause gradual increases in the relative achievement of students in low - income school districts, consistent with the goal of improving educational opportunity for these students.

The district wants to use test score data as one of several measures in its new evaluation system, as it is currently doing in a voluntary program involving nearly 700 teachers and administrators at more than 100 schools.

At the same time, their silence gives tacit support to arguments by traditionalists that standardized testing should not be used in evaluating teachers or for systemic reform (even when, as seen this week from American Federation of Teachers President Randi Weingarten and others critical of the state education policy report card issued by Rhee's StudentsFirst, find it convenient to use test score data for their own purposes).

Not exact matches

Using longitudinally linked, student - level data collected from two urban school districts, New York City and Washington, DC, Mathematica estimated the impacts of five EL middle schools on students» reading and math test scores.

State officials have argued that the data will be secure and not used for commercial purposes, but the parents who filed suit are reluctant to allow the transfer, given the sensitive nature of the information, which includes demographics, test scores, behavior and suspension records and parents» contact information.

There's also the issue that it's very hard to measure teacher quality when we're actually using testing scores as data.

Stanley W. K. Ng, a senior PhD candidate in the lab of Dr. Peter Zandstra at the Institute for Biomaterials and Biomedical Engineering, University of Toronto and co-lead author of the paper, used rigorous statistical approaches to develop and test the new «stemness score,» using AML patient data provided by the Princess Margaret leukemia clinic and collaborators in the United States and Europe.

The researchers then tested their scoring method using data on 688 AML patients in three different clinical trials, In each of these groups, patients with low scores (methylation patterns similar to normal HSCs) had approximately twice the median survival time of patients with high scores.

Using data from 58 of the 59 infants, the algorithm picked out the brain connections that differ between children with and without autism, and that track with scores on any of the behavioral tests.

A further benefit is that while usual approaches require heavy use of cross-validation data or testing data to evaluate the predictors, the I - score approach does not rely as much on this as much.

We use test - score data from the years 2000 — 01 to 2005 — 06 from the 36 charter schools that enroll students in grades 3 through 12.

Using student - level data from two states, Harvard Professor Martin West and I found that 40 to 60 percent of schools serving mostly low - income or underrepresented minority students would fall into the bottom 15 percent of schools statewide based on their average test scores, but only 15 to 25 percent of these same schools would be classified as low performing based on their test - score growth.

A second study, recently published in the Proceedings of the National Academy of Sciences (PNAS) by Gary Chamberlain, using the same data as Chetty and his colleagues, provides fodder both for skeptics and supporters of the use of value - added: while confirming Chetty's finding that the teachers who have impacts on contemporaneous measures of student learning also have impacts on earnings and college going, Chamberlain also found that test - scores are a very imperfect proxy for those impacts.

My colleague Katharine Lindquist and I used statewide data from North Carolina to simulate the impact of opt - out on test - score - based measures of teacher performance.

The method used to calculate absolute poverty rates in 2010, as reported in Figure 3 of «America's Mediocre Test Scores,» required estimations from data made available by Timothy Smeeding.

For example, Krueger (1998) uses data from the NAEP and documents test score increases over time, with large improvements for disadvantaged children from poor urban areas; the Current Population Survey shows declining dropout rates since 1975 for those from the lowest income quartile (Digest of Education Statistics, NCES 2012).

Students entered the G&T program in 6th grade, and their progress was measured when they were 7th graders, using data drawn from their Stanford Achievement Test scores and attendance rates.

Test scores are reorganized according to new classroom assignments so that teachers can use those data in preparing for the year ahead.

Study coauthor Matthew Gaertner, who produced calculations for this article that were not part of the published study, said displaced student test scores dropped 12 percent in reading, 9 percent in math, and 19 percent in writing compared with what they would have scored had the school not closed (using modeling developed from historic test data).

Using student data to assess teachers raises a number of thorny objections, as unions and individual teachers balk at using student test scores alone to drive decisions on teacher effectiveUsing student data to assess teachers raises a number of thorny objections, as unions and individual teachers balk at using student test scores alone to drive decisions on teacher effectiveusing student test scores alone to drive decisions on teacher effectiveness.

We know of no legitimate statistical text that argues it is irrelevant to use tests of statistical significance to guard against random fluctuations in the data - in this case, scores on tests of student performance.

Using 2015 test - score data and comparing schools with similar percentages of low - income kids, charters outperform DPS - operated schools at the middle and high school level but not at the elementary level, where there are only 10 charters.

Using test - score data from schools throughout Arizona that offer full - day kindergarten or preschool, Matthew Ladner, the vice president for research at the free - market - oriented think tank,...

Using the state test data and the full randomized sample, the evaluators report negative impacts for reading, math, and science scores at the end of third grade for children assigned to TVPK.

The bill required teacher preparation programs to report data on their candidates (and share this information with their university), use higher cut scores on standardized tests for entry, and add portfolio - based assessments as graduation requirements, among other reforms.

We use test - score data from the 1999 — 2000 school year through 2006 — 07.

The Data Wise Improvement Process provides a clear, field tested blueprint that teachers and school leaders can use to examine test scores and other student data to catalyze school wide conversations that drive instructional improvemData Wise Improvement Process provides a clear, field tested blueprint that teachers and school leaders can use to examine test scores and other student data to catalyze school wide conversations that drive instructional improvemdata to catalyze school wide conversations that drive instructional improvement.

In the second step, we calculate a growth measure for each school using test - score data that have been adjusted for student and school characteristics in the first step.

Kane and Staiger have analyzed the statistical properties of value - added and cross-cohort changes in test scores, using data from North Carolina (see Figure 1).

The analysis extends previous work (see «Johnny Can Read... in Some States,» features, Summer 2005, and «Keeping an Eye on State Standards,» features, Summer 2006) that used 2003 and 2005 test - score data and finds in the new data a noticeable decline, especially at the 8th - grade level.

Recent studies using lottery data — that is, comparing applicants who gained a seat in a charter school versus those who were turned away — show positive impacts on student test scores.

Using a large data set provided by the New York City Department of Education (NYC DOE), we analyzed student test scores as well as information about the students, their teachers, classrooms, and schools.

Can they not take a lesson from America's experience with the uses of test - score data in making judgments about educators and schools?

Just as the education - reform movement is starting to figure out how to use test - score data in a more sophisticated way, the Obama administration and its allies in the civil - rights community want to take us back to the Stone Age on the use of school - discipline data.

Two recent studies have now examined the effect of the recession on test scores using finer - grained data.

Using data on test scores and student records from the Chicago Public Schools, we developed a statistical algorithm to identify classrooms where cheating was suspected.

-- those kinds of conversations around data can lead to much more productive work than the ones that are focused on «[let's use] data to think about how we're going to improve test scores».

Our data included each student's answers on each year's test; which school and classroom each student was in; each student's previous and future test scores; and demographic variables including each student's age, sex, race, and eligibility for the federal school lunch program, a widely used proxy for family income.

For instance, in a study published in 1998, Meredith Phillips and her colleagues reported a raw black - white test - score gap of more than one standard deviation in vocabulary using data sets collected between 1980 and 1987.

Using one of the data sets, we also predicted later science scores and incorporated an additional early test of general knowledge of the social and physical world as a predictor.

While complete data were not available for any other year, we repeated this analysis with the Class of 2012 using 10th - grade test scores to control for differences in student ability and found, reassuringly, a similar pattern.

Gates and his foundation have been pushing the use of student achievement data (ie, test scores) in teacher evaluations for several years now — as has the Obama administration, which has made it a key part of both Race to the Top and the so - called «waivers» from No Child Left Behind.

Using data on teachers» test scores from North Carolina, Murnane found that teachers with high test scores left teaching sooner than those who did less well.

A forthcoming study using data from urban areas in two states sheds light on why English teachers have these strong effects even though their effects on current year test scores are not as strong.

The state publishes test data on school report cards and uses those scores to help rate schools.

Using data from a variety of sources, including the National Longitudinal Survey of Youth, the High School and Beyond study, and the National Longitudinal Study of the High School Class of 1972, Jacobsen and his colleagues at Mathematica essentially confirm Neal and Johnson's findings, providing additional evidence that most of the remaining wage gap is due to differences in cognitive skills, as measured by test scores.

A second study, recently published in the Proceedings of the National Academy of Sciences (PNAS) by Gary Chamberlain, using the same data as Chetty and his colleagues, provides fodder both for skeptics and supporters of the use of value - added: while confirming Chetty's finding that the teachers who have impacts on contemporaneous measures of student learning also have impacts on earnings and college going, Chamberlain also found that test scores are a very imperfect proxy for those impacts.

This year CPS has changed it up a bit by crying poor and «underutilized» using a bunch of data (100,000 «lost» city children, 50 % empty schools) that is just as fishy as the test scores.