Despite the vast majority of randomized control trials (RCTs) of private school choice showing significant, positive
test score effects for at least some subgroups of students, some of those gains have been modest and other effects have been null for at least some subgroups.
Not exact matches
Sarah and Matt also discuss a new white paper on the
effects of redshirting in kindergarten (delaying a kid's start by a year), which suggest that being old
for one's grade may result in higher
test scores, increased college attendance, and reduced likelihood of incarceration
for juvenile crime.
GFI aims
for diversity in their hires primarily through hiring practices that are intended to help them minimize the
effects of bias, such as encouraging staff to
score applications anonymously, using generalized ability
tests, and meeting applicants only late in the process.88 While they've hired many women, including in seven of nine director roles, they find that their team is lacking in diversity in other ways, and they've met with Encompass to discuss further steps they can take to develop their diversity strategy.89 One staff member we spoke to mentioned that they hoped GFI would be able to begin paying interns, which might help diversify their team by broadening the pool of potential interns who could afford to take a position with GFI.90, 91
A paired - samples t -
test demonstrated significant differences with small to medium
effect sizes in the before and after
scores for all three subscales.
Fariña recently told Capital she believes some charter schools can have a positive
effect on the public system, while knocking others (without naming specific schools)
for touting high
test scores, but not accepting special education or English Language Learner students.
Best known
for documenting the eponymous Flynn
effect — the tendency
for standardized intelligence
testing scores to increase over many decades across the world — Flynn is the right man
for the job.
The small increase in the high - dose group did not translate into beneficial
effects because authors found no difference between the three study groups
for changes in spine, average total - hip, average femoral neck or total - body bone mineral density, trabecular bone
score, muscle mass or sit - to - stand
tests.
The researchers from the University's Department of Social Policy and Intervention, and the Swedish Institute
for Social Research, Stockholm, studied the
test scores measuring cognitive ability of children aged between 10 and 13, and found they had a strong
effect on a child's subsequent educational performance.
Failing to correct
for the Flynn
effect can have even bigger consequences, as courts frequently consider IQ
scores using
tests introduced more than a decade earlier — meaning
scores can be inflated by 3 or more points (see «Life or death ``, below).
Consistent with other research on school
effects, we find that the school a student attends can explain a substantial share of the overall variation in
test scores: that single factor explains 34 percent of the variation in math
scores and 24 percent of the variation
for reading.
But all previous evaluations of the
effects of private schools or of school voucher programs reported
test -
score results
for both reading and math, or a composite measure of the two, even if the researchers thought that one or the other was a better measure of school performance.
Such «selection
effects» could in theory account
for the apparent school impacts on
test scores, or even the apparent absence of impacts on fluid cognitive skills.
My best estimate is that it lowers
test scores for both boys and girls by approximately 4 percent of a standard deviation and has even larger
effects on various measures of student engagement.
The results indicate that the
effect of a later start time in both math and reading is more than twice as large
for students in the bottom third of the
test -
score distribution than
for students in the top third.
We therefore also evaluated the
effect of actually being retained, again controlling
for race, eligibility
for free or reduced - price lunch, English proficiency, and baseline
test scores.
I therefore separate the students in my sample by years of age and estimate the
effect of start time on
test scores separately
for each group.
For example, the effect of a one - hour later start time on math scores is roughly 14 percent of the black - white test - score gap, 40 percent of the gap between those eligible and those not eligible for free or reduced - price lunch, and 85 percent of the gain associated with an additional year of parents» educati
For example, the
effect of a one - hour later start time on math
scores is roughly 14 percent of the black - white
test -
score gap, 40 percent of the gap between those eligible and those not eligible
for free or reduced - price lunch, and 85 percent of the gain associated with an additional year of parents» educati
for free or reduced - price lunch, and 85 percent of the gain associated with an additional year of parents» education.
The
effect is largest
for students with below - average
test scores, suggesting that later start times would narrow gaps in student achievement.
Though each of these policies has been tied to student
test -
score improvements, either the
effect size was too small or the policy affected too few students to alone account
for the substantial
test -
score improvements seen on the NAEP and FCAT.
Yet virtually no
effect was seen on
test scores (outside of 5th - grade math, an
effect that disappeared
for those same children the next year).
Specifically, I separated out the
effects on
test -
score gains of a student's race and ethnicity, as well as accounted
for the influence of a student's peers, by evaluating the influence of demographic characteristics of the student body, including average income level and percentage of minority students.
This negative
effect persists at least through 8th grade, the highest grade
for which we could obtain
test scores.
The fail rating
effect for students with
test scores in the bottom quarter prior to the treatment year is 0.20 and 0.14 standard deviations in mathematics and English, respectively (see Figure 2).
Why are the
effects of a fail rating largest
for students with low prior
test scores?
We decided to assess the relationship between
test -
score trends and incumbents» decisions to run
for reelection, and then to estimate the
effect of
test -
score trends on the probability that an incumbent who runs faces an opponent.
And to turn back to school choice
for a moment, Imberman finds that charters in an unnamed urban district had no
effect on student
tests scores — but had large positive
effects on discipline and attendance.
[4] Among low - income students, the
effect was even more dramatic:
for every 1,000 low - income students who had taken the
test before 2007 and
scored well, another 480 college - ready, low - income students were uncovered by the universal
test.
Using a sophisticated methodology to look
for value - added
effects (gauged by
scores on state
tests and SAT and AP exams) in six prominent «exam schools» in Boston and New York City, they didn't find much to applaud:
It's true that students from those schools who did enroll in post-secondary schooling were more likely to go to a 4 than 2 year college, but it is unclear if this is a desirable outcome given that it may be a mismatch
for their needs and this more nuanced
effect is not commensurate with the giant
test score gains.
In an article
for Education Next, Pieter De Vlieger, Brian A. Jacob, and Kevin Stange of the University of Michigan report that students taught by skilled postsecondary instructors receive higher grades and
test scores, are more likely to succeed in subsequent courses, earn more credits, and are better positioned to complete a college degree, with larger
effects for in - person than online classes.
For example, the Gates Foundation's small school reforms were widely panned as a flop in early reviews relying on student
test scores, but a number of later rigorous studies showed (sometimes substantial) positive
effects on outcomes such as graduation and college enrollment.
[6] Several studies estimated the causal
effect of being assigned to remediation on future college outcomes by comparing students just above and below
test score cutoffs
for remedial placement.
Because
test scores and enrollment in college are not the end of the road
for most students, and because emerging evidence suggests that these positive
effects may fade as students begin their adult lives.
As the arguments
for and against the Arizona ballot question have unfurled in recent months, the California measure's
effect on
test scores has attracted widespread attention.
Because we observe schools over several time periods, we can subject the program to an even stricter
test by controlling
for all characteristics of schools that remain constant over time (by «differencing out» the
effect of attending a particular school on exam
scores).
The recently released study of the program examines its
effects on
test scores for students that have used vouchers
for one, two, three, or four years.
The results are quite surprising: after adjusting the data
for the
effects of only a few observable characteristics, the black - white
test -
score gap in math and reading
for students entering kindergarten essentially disappeared.
The predictive
effects for test scores based on the
test scores of other classes are and.
Getting into a charter school doubled the likelihood of enrolling in Advanced Placement classes (the
effects are much bigger
for math and science than
for English) and also doubled the chances that a student will
score high enough on standardized
tests to be eligible
for state - financed college scholarships.
The teacher
effect of 0.99 percentage points could reflect skills that are relevant
for college attendance but are not measured by the
test scores.
Thus adjusting the data
for the
effects of socioeconomic status reduces the estimated racial gaps in
test scores by more than 40 percent in math and more than 66 percent in reading.
Repeating the analysis above with these two measures of parent characteristics added to the baseline control vector gives the following predictive
effects for college attendance based on
test scores which are somewhat lower than the results above using the baseline controls.
But the evidence on
test score gains is massive: CREDO has studied dozens of cities and have found an overall
effect of ~.1
for urban areas serving hundreds of thousands of students.
Once we adjusted the data
for the
effects of socioeconomic status, birth weight, participation in WIC, and a few other variables, we were able to fully account
for the difference in
test scores.
In parallel with the optimal linear predictor of college attendance, the optimal linear predictor
for the
test score is The predictive
effects are With the baseline controls in X, the estimates are and.
The suit filed in state Supreme Court in Albany by the STA and about 30 city teachers, and supported by New York State United Teachers, argues SED did not properly account
for the devastating
effects of student poverty on achievement when it set growth
scores on state
tests in grades 4 - 8 math and English Language Arts.
This includes evidence from four separate studies that have directly
tested whether VAMs measure correlation or causation... All four of these studies reach the same conclusion: VAMs that control
for students» lagged
test scores primarily capture teachers» causal
effects rather than correlations due to other factors not captured in the model.
I control
for other factors that affect all NYC public schools in a given year, such as the appointment of a new chancellor or curriculum changes, and I use prior - year
test scores to capture students» ability and control
for previous school and family
effects.
To argue that she has been even moderately successful with her approach, we would have to ignore the legitimate concerns of local and national charter reformers who know the city well, and ignore the possibility that Detroit charters are taking advantage of loose oversight by cherry - picking students, and ignore the very low
test score growth in Detroit compared with other cities on the urban NAEP, and ignore the policy alternatives that seem to work better (
for example, closing low - performing charter schools), and ignore the very low
scores to which Detroit charters are being compared, and ignore the negative
effects of virtual schools, and ignore the negative
effects of the only statewide voucher programs that provide the best comparisons with DeVos's national agenda.
Like the Cook research on behavior, the Rockoff and Lockwood study finds that the negative achievement
effect on children who moved into middle school «persists at least through 8th grade, the highest grade
for which we could obtain
test scores.»