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On Focus Groups, Elections, and Predictions
Focus groups, a method in which small groups of subjects are questioned by researchers, are widely used in politics, marketing, and other areas. In education policy, focus groups, particularly those comprised of teachers or administrators, are often used to design or shape policy. And, of course, during national election cycles, they are particularly widespread, and there are even television networks that broadcast focus groups as a way to gauge the public’s reaction to debates or other events.
There are good reasons for using focus groups. Analyzing surveys can provide information regarding declaratory behaviors and issues’ rankings at a given point in time, and correlations between these declarations and certain demographic and social variables of interest. Focus groups, on the other hand, can help map out the issues important to voters (which can inform survey question design), as well investigate what reactions certain presentations (verbal or symbolic) evoke (which can, for example, help frame messages in political or informational campaigns).
Both polling/surveys and focus groups provide insights that the other method alone could not. Neither of them, however, can answer questions about why certain patterns occur or how likely they are to occur in the future. That said, having heard some of the commentary about focus groups, and particularly having seen them being broadcast live and discussed on cable news stations, I feel strongly compelled to comment, as I do whenever data are used improperly or methodologies are misinterpreted.
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Thinking About Tests While Rethinking Test-Based Accountability
Earlier this week, per the late summer ritual, New York State released its testing results for the 2015-2016 school year. New York City (NYC), always the most closely watched set of results in the state, showed a 7.6 percentage point increase in its ELA proficiency rate, along with a 1.2 percentage point increase in its math rate. These increases were roughly equivalent to the statewide changes.
City officials were quick to pounce on the results, which were called “historic,” and “pure hard evidence” that the city’s new education policies are working. This interpretation, while standard in the U.S. education debate, is, of course, inappropriate for many reasons, all of which we’ve discussed here countless times and will not detail again (see here). Suffice it to say that even under the best of circumstances these changes in proficiency rates are only very tentative evidence that students improved their performance over time, to say nothing of whether that improvement was due to a specific policy or set of policies.
Still, the results represent good news. A larger proportion of NYC students are scoring proficient in math and ELA than did last year. Real improvement is slow and sustained, and this is improvement. In addition, the proficiency rate in NYC is now on par with the statewide rate, which is unprecedented. There are, however, a couple of additional issues with these results that are worth discussing quickly.
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A Small But Meaningful Change In Florida's School Grades System
Beginning in the late 1990s, Florida became one of the first states to assign performance ratings to public schools. The purpose of these ratings, which are in the form of A-F grades, is to communicate to the public “how schools are performing relative to state standards.” For elementary and middle schools, the grades are based entirely on standardized testing results.
We have written extensively here about Florida’s school grading system (see here for just one example), and have used it to illustrate features that can be found in most other states’ school ratings. The primary issue is the heavy reliance that states place on how highly students score on tests, which tells you more about the students the schools serve than about how well they serve those students – i.e., it conflates school and student performance. Put simply, some schools exhibit lower absolute testing performance levels than do other schools, largely because their students enter performing at lower levels. As a result, schools in poorer neighborhoods tend to receive lower grades, even though many of these schools are very successful in helping their students make fast progress during their few short years of attendance.
Although virtually every states’ school rating system has this same basic structure to varying degrees, Florida’s system warrants special attention, as it was one of the first in the nation and has been widely touted and copied (as well as researched -- see our policy brief for a review of this evidence). It is also noteworthy because it contains a couple of interesting features, one of which exacerbates the aforementioned conflation of student and school performance in a largely unnoticed manner. But, this feature, discussed below, has just been changed by the Florida Department of Education (FLDOE). This correction merits discussion, as it may be a sign of improvement in how policymakers think about these systems.
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A Myth Grows In The Garden State
New Jersey Governor Chris Christie’s recently announced a new "fairness funding" plan to provide every school district in his state roughly the same amount of per-pupil state funding. This would represent a huge change from the current system, in which more state funds are allocated to the districts that serve a larger proportion of economically disadvantaged students. Thus, the Christie proposal would result in an increase in state funding for middle class and affluent districts, and a substantial decrease in money for poorer districts. According to the Governor, the change would reduce the property tax burden on many districts by replacing some of their revenue with state money.
This is a very bad idea. For one thing, NJ state funding of education is already about 7-8 percent lower than it was in 2008 (Leachman et al. 2015). And this plan would, most likely, cut revenue in the state’s poorest districts by dramatic amounts, absent an implausible increase in property tax rates. It is perfectly reasonable to have a discussion about how education money is spent and allocated, and/or about tax structure. But it is difficult to grasp how serious people could actually conceive of this particular idea. And it’s actually a perfect example of how dangerous it is when huge complicated bodies of empirical evidence are boiled down to talking points (and this happens on all “sides” of the education debate).
Pu simply, Governor Christie believes that “money doesn’t matter” in education. He and his advisors have been told that how much you spend on schools has little real impact on results. This is also a talking point that, in many respects, coincides with an ideological framework of skepticism toward government and government spending, which Christie shares.
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The Intervention That Works Across Settings With All Children
Our guest authors today are Geoff Marietta, Executive Director, Pine Mountain Settlement School and Research Fellow at Berea College; Chad d'Entremont, Executive Director, Rennie Center for Education Research & Policy; and Emily E. Murphy, Director, Massachusetts Education Partnership (MEP) at the Rennie Center. Their work focuses on research and practice in labor-management-community collaboration.
If you learned there was an intervention to improve student outcomes that worked for nearly all children across communities, what would stop you from using it? This intervention has closed learning gaps, both in urban communities serving predominantly low-income minority students and in isolated rural areas with large numbers of white and Native American students living in poverty. It has worked in suburban, urban, and rural settings with white, African-American, Hispanic, Native American, Asian, and multi-racial students. That intervention is collaboration.
In this post, we define collaboration, briefly discuss the growing evidence associating collaboration with student success, and describe some of our ongoing work, which focuses on designing tools to facilitate, formalize, and focus the hard but worthwhile and necessary responsibility of working together.
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Teachers' Opinions Of Teacher Evaluation Systems
The primary test of the new teacher evaluation systems implemented throughout the nation over the past 5-10 years is whether they improve teacher and ultimately student performance. Although the kinds of policy evaluations that will address these critical questions are just beginning to surface (e.g., Dee and Wyckoff 2015), among the most important early indicators of how well the new systems are working is their credibility among educators. Put simply, if teachers and administrators don’t believe in the systems, they are unlikely to respond productively to them.
A new report from the Institute of Education Sciences (IES) provides a useful little snapshot of teachers’ opinions of their evaluation systems using a nationally representative survey. It is important to bear in mind that the data are from the 2011-12 Schools and Staffing Survey (SASS) and the 2012-13 Teacher Follow Up Survey, a time in which most of the new evaluations in force today were either still on the drawing board, or in their first year or two of implementation. But the results reported by IES might still serve as a useful baseline going forward.
The primary outcome in this particular analysis is a survey item querying whether teachers were “satisfied” with their evaluation process. And almost four in five respondents either strongly or somewhat agreed that they were satisfied with their evaluation. Of course, satisfaction with an evaluation system does not necessarily signal anything about its potential to improve or capture teacher performance, but it certainly tells us something about teachers’ overall views of how they are evaluated.
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New Research Report: Are U.S. Schools Inefficient?
At one point or another we’ve all heard some version of the following talking points: 1) “Spending on U.S. education has doubled or triped over the past few decades, but performance has remained basically flat; or 2) “The U.S. spends more on education than virtually any other nation and yet still gets worse results.” If you pay attention, you will hear one or both of these statements frequently, coming from everyone from corporate CEOs to presidential candidates.
The purpose of both of these statements is to argue that U.S. education is inefficient - that is, gets very little bang for the buck – and that spending more money will not help.
Now, granted, these sorts of pseudo-empirical talking points almost always omit important nuances yet, in some cases, they can still provide important information. But, putting aside the actual relative efficiency of U.S. schools, these particular statements about U.S. education spending and performance are so rife with oversimplification that they fail to provide much if any useful insight into U.S. educational efficiency or policy that affects it. Our new report, written by Rutgers University Professor Bruce D. Baker and Rutgers Ph.D. student Mark Weber, explains why and how this is the case. Baker and Weber’s approach is first to discuss why the typical presentations of spending and outcome data, particularly those comparing nations, are wholly unsuitable for the purpose of evaluating U.S. educational efficiency vis-à-vis that of other nations. They then go on to present a more refined analysis of the data by adjusting for student characteristics, inputs such as class size, and other factors. Their conclusions will most likely be unsatisfying for all “sides” of the education debate.
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Are U.S. Schools Resegregating?
Last week, the U.S. Government Accountability Office (GAO) issued a report, part of which presented an analysis of access to educational opportunities among the nation’s increasingly low income and minority public school student population. The results, most generally, suggest that the proportion of the nation's schools with high percentages of lower income (i.e., subsidized lunch eligible) and Black and Hispanic students increased between 2000 and 2013.
The GAO also reports that these schools, compared to those serving fewer lower income and minority students, tend to offer fewer math, science, and college prep courses, and also to suspend, expel, and hold back ninth graders at higher rates.
These are, of course, important and useful findings. Yet the vast majority of the news coverage of the report focused on the interpretation of these results as showing that U.S. schools are “resegregating.” That is, the news stories portrayed the finding that a larger proportion of schools serve more than 75 percent Black and Hispanic students as evidence that schools became increasingly segregated between the 2000-01 and 2013-14 school years. This is an incomplete, somewhat misleading interpretation of the GAO findings. In order to understand why, it is helpful to discuss briefly how segregation is measured.
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The Early Origins Of The STEM Achievement Gap (And What Can Be Done To Help)
Every year, like a drumbeat, more articles, studies and reports detail the reasons that a disproportionally low number of people of color are employed in the well paid science, technology, engineering and mathematics (STEM) professions. One result has been a myriad of programs designing to attract, prepare, mentor, and retain secondary and college-age underrepresented students into the STEM fields. An interesting new study, however, suggests that solutions to this problem need to begin much earlier, prior to kindergarten in fact.
First, it should be noted race or ethnicity, per se, are not really what’s at issue in terms of students’ relative success in the STEM fields, but rather the historic and persistent lack of opportunity afforded to certain segments of U.S. society, resulting in the overrepresentation of people of color among the ranks of the poor. And further, it is not poverty in itself, but poverty's accompanying life conditions that help to explain performance gaps that begin at home and extend into schooling and beyond.
In this case, the study’s authors, Morgan, Farkas, Hillemeier and Maczuga, argue that “the strongest contributors to science achievement gaps in the United States are general knowledge gaps that are already present at kindergarten entry. Therefore, interventions designed to address science achievement gaps in the United States may need to be implemented very early in children’s development (e.g., by or around school entry, if not earlier) so as to counteract the early onset of general knowledge gaps during the preschool and early elementary years.”
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New Research Brief: Teacher Segregation In Los Angeles And New York City
The current attention being given to the state of teacher diversity, including ASI’s recent report on the subject, is based on the idea that teacher diversity is a resource that profits everyone, and that policymakers and administrators should try to increase this resource. We agree.
There is already a fair amount of research to indicate the significance and potential implications of teacher diversity (e.g., Dee 2004; Gershenson et al., 2015; Mueller et al. 1999). It’s important to bear in mind, however, that the benefits of diversity, like those of any resource, are dependent not just on how much is available, but also how it is distributed across schools and districts.
Unfortunately, research on the distribution of teacher diversity or teacher segregation has, thus far, been virtually non-existent. A new ASI research brief begins to help fill this void. The brief, written with my colleagues Matt Di Carlo and Esther Quintero, presents a descriptive analysis of teacher segregation within the two largest school districts in the nation – Los Angeles and New York City. We find that teachers in these two districts, while quite diverse overall, relative to the U.S. teacher workforce as a whole, are rather segregated across schools by race and ethnicity, according to multiple different measures of segregation. In other words, teachers tend to work in schools with disproportionate numbers of colleagues of their own race and/or ethnicity.
