Arkansas Department of Education

About: Arkansas Department of Education is a government organization based out in Little Rock, Arkansas, United States. It is known for research contribution in the topics: School choice & Voucher. The organization has 37 authors who have published 112 publications receiving 1325 citations. The organization is also known as: ADE.

An Evaluation of the Educational Impact of College Campus Visits: A Randomized Experiment

Abstract: We hypothesize that a lack of experience with college poses a non-trivial barrier to college access for historically underrepresented students. We study whether visits to a college campus during the eighth grade can reduce these psychological barriers to college access. Using an experimental design, we study whether college visits affect students’ knowledge about college, postsecondary intentions, college-going behaviors, academic engagement, and ninth grade course enrollment decisions. We recruited 885 students across 15 schools who participated in our project during the academic year 2017-2018. We randomized students within schools to either a treatment or control condition. Students in the control condition receive an information packet about college. Students in the treatment condition receive the same information and visit a flagship university three times during their 8th-grade academic year. Students assigned to participate in these campus visits demonstrate higher levels of knowledge about college, higher levels of effort while completing the survey, a higher likelihood of having conversations with school personnel about college, and a decreased desire to attend technical school. Additionally, treated students are more likely to enroll in advanced math and science/social science courses in 9th grade.

You Can Often Get What You Want: Assessing the Match between Parent Preferences and Private Schools of Choice

Abstract: Providing parents choices in education has become an increasingly popular instrument for reforming education in the United States. While existing research on parent satisfaction in private school choice programs shows that parents are satisfied with the schools they have chosen, there is not much to explain their satisfaction. Previous research using parent surveys asks parents to rate and/or grade their school of choice, while comparing their response to their thoughts on their previous public school. This paper reports new empirical evidence that looks to offer a possible explanation for parents’ satisfaction. Using data from the Milwaukee Parental Choice Program, we look to analyze whether or not parents get what they choose for when given the opportunity to choose a private school. Our analysis makes use of survey responses from parents that can be matched to students and then matched to principals. In total, there were 7,338 parents who received a survey. Of these, 3,226 parents completed a survey. In total, there were 1,868 students who responded to surveys. Parents were matched to MPCP students using a unique child ID, resulting in 1,856 parents who were matched to students. These were then matched to principals representing 123 schools participating in the MPCP. Our analysis of the MPCP examines the probability of a parent choosing a school that ranked at least above average on the specific characteristic they had listed as most important to their school choice. Since a school having a specific characteristic is a binary variable, we used Logit as the functional form of the regression equation in order to estimate the probability that parents get what they choose for.

Is Pre-Kindergarten an Educational Panacea? A Systematic Review and Meta-Analysis of Scaled-Up Pre-Kindergarten in the United States

Abstract: We synthesize the existing research and compute meta-analytic averages for the effects of scaled-up, publicly funded pre-kindergarten (pre-K) programs on student pre-kindergarten achievement in math and reading. Other systematic reviews of pre-K programs have focused on the effects for specific groups of students from various types of pre-K programs. We add to the literature by focusing on scaled-up pre-K often provided at the state level, which is of growing policy interest. Scaled-up programs are large state or district run programs that are available to a large portion of children before they enter kindergarten. We limit our analysis to state and districtwide pre-K programs in the United States from 2000 through 2016. In order to obtain the most accurate effect estimates, we restrict our analysis to experimental and quasi-experimental research designs with the highest internal validity. We synthesize the short-term cognitive effects of pre-K and find large positive effects of scaled-up public pre-K programs on student pre-kindergarten test scores. In particular, we find that the overall effect on math scores is over a third of a standard deviation and the overall effect on reading scores is three-fifths of a standard deviation. This review is restricted to studies focused on short term results of pre-K programs; our search uncovered only one study rigorously assessing the impacts of scaled-up pre-K programs on student achievement after kindergarten. More research is needed on the sustained effects of pre-K as policymakers debate whether to expand or adopt such programs.

Comparing Performance of Methods to Deal with Differential Attrition in Lottery Based Evaluations

Abstract: In randomized controlled trials, it is common for attrition rates to differ by lottery status, jeopardizing the identification of causal effects. Inverse probability weighting methods (Hirano et al, 2003; Busso et al., 2014) and estimation of informative bounds for the treatment effects (e.g. Lee, 2009; Angrist et al., 2006) have been used frequently to deal with differential attrition bias. This paper studies the performance of various methods by comparing the results using two datasets: a district-sourced dataset subject to considerable differential attrition, and an expanded state-sourced dataset with much less attrition, differential and overall. We compared the performance of different methods to correct for differential attrition in the district dataset, as well as we conducted simulation analyses to assess the sensitivity of bounding methods to their underlying assumptions. In our application, methods to correct differential attrition induced bias, whereas the unadjusted district level results were closer and more substantively similar to the estimated effects in the benchmark state dataset. Our simulation exercises showed that even small deviations from the underlying assumptions in bounding methods proposed by Angrist et al. (2006) increased bias in the estimates. In practice, researchers often do not have enough information to verify the extent to which these underlying assumptions are met, so we recommend using these methods with caution.

Regulating the Use of Support Personnel in Schools

Abstract: Rules and regulations governing the use of support personnel in Arkansas were approved in 1996. These regulations allow school districts to employ support personnel, assistants or aides, to assist master's level speech-language pathologists (SLPs) with clerical and clinical tasks. School district personnel must develop proposals, receive approval, and participate in training before the support personnel can be used in the delivery of speech-language services. The supervising SLPs manage the caseload, provide direct services, and supervise the support personnel. This model of service delivery has been used effectively in Arkansas schools to enhance services provided by the SLPs. Support personnel are employed primarily in the rural parts of the state where there is a shortage of SLPs.