Enrollment Decisions Research Articles

Antecedents of Student Retention: A Predictive Modelling Approach

Today university and college rankings are the major determinants influencing the enrollment decision of the current student. Universities improving on certain aspects are found to retain a majority of freshman students despite the university tier status. These aspects are seen to determine a student’s retention, which eventually helps the university to attend a higher tier status. The study tries to evaluate the aspects which primarily influence the future enrollment decision, thereby resulting in retaining the student. The evaluated aspects deal with the intrinsic factors responsible to support the academic tenure of a current student. The aspects, mainly revolve around the factors like peer effectiveness, academic progress, and academic advising out of which academic advising is a controlled variable addressed by the university administration. Two other variables are seen to indirectly be controlled by the administration. In the initial stage principal component analysis is used to identify the factors, followed by multiple regression analysis to determine the influence of each factor on the likelihood of retention. To validate the facts logistic regression analysis is used to verify the same factors that influence the actual retention of the student.

State policies limiting premium surcharges for tobacco and their impact on health insurance enrollment.

The Affordable Care Act allows insurers to charge up to 50% higher premiums to tobacco users, making tobacco use the only behavioral factor that can be used to rate premiums in the nongroup insurance market. Some states have set more restrictive limits on rating for tobacco use, and several states have outlawed tobacco premium surcharges altogether. We examined the impact of state level tobacco surcharge policy on health insurance enrollment decisions among smokers. We compared insurance enrollment in states that did and did not allow tobacco surcharges, using a difference-in-difference approach to compare the policy effects among smokers and nonsmokers. We also used geographic variation in tobacco surcharges to examine how the size of the surcharge affects insurance coverage, again comparing smokers to nonsmokers. We linked data from two components of the Current Population Survey-the 2015 and 2019 Annual Social and Economic Supplement and the Tobacco Use Supplement, which we combined with data on marketplace plan premiums. We also collected qualitative data from a survey of smokers who did not have insurance through an employer or public program. Allowing a tobacco surcharge reduced insurance enrollment among smokers by 4.0 percentage points (P=.01). Further, smokers without insurance through an employer or public program were 9.0 percentage points less likely (P<.01) to enroll in a nongroup plan if they were subject to a tobacco surcharge. In states with surcharges, enrollment among smokers was 3.4 percentage points lower (P<.01) for every 10 percentage point increase in the tobacco surcharge. Tobacco use is the largest cause of preventable illness in the United States. State tobacco surcharge policy may have a substantial impact on whether tobacco users choose to remain insured and consequently their ability to receive care critical for preventing and treating tobacco-related disease.

Neoliberal multilingualism and “humanitarian connections”: discourses around parents’ experiences with a Mandarin Chinese immersion school

Few studies have investigated the discourses and ideologies around parents’ enrollment decisions in Chinese-English immersion contexts, and how these discourses and ideologies affect their involvement with their children’ bi/multilingual development. Conducted in a K-5 50/50 one-way Mandarin immersion school, this paper focuses on ethnographic interviews with parents that represent different social and cultural backgrounds. Findings demonstrate multiple ways that parents support and invest in their children’s bi/multilingual development. Findings also reveal that the ideology of neoliberal multilingualism and multiculturalism permeates parents’ decision-making, expectations, and investment. This ideology motivates parents to actively advocate for this school’s survival and combat with the local discourse of monolingualism, which creates a space with a humanitarian emphasis with multiculturalism but also shapes the school space in a certain way. Meanwhile, tensions exist among different parent groups in terms of their perceptions toward the ultimate benefits of this immersion school and the unbalanced parental influence on local language policymaking. This case study aims to investigate the discourses and parents’ ideologies in Chinese immersion education, and to offer some implications for language planning in one-way foreign language immersion contexts.

How much to save? Decision costs and retirement plan participation

Deciding how much to save for retirement can be complicated. Drawing on a field experiment conducted with the Department of Defense, we study whether such complexity depresses participation in an employer-sponsored retirement saving plan. We find that simplifying one dimension of the enrollment decision, by highlighting a potential rate at which non-participants might contribute, increases participation in the plan. Similar communications that did not include a highlighted rate yield smaller effects. The results highlight how reducing complexity on the intensive margin of a decision (how much to contribute) can affect extensive margin behavior (whether to contribute at all) in a setting of policy interest.

Encouraged or Discouraged? The Effect of Adverse Macroeconomic Conditions on School Leaving and Reentry

Existing research generally confirms a countercyclical education enrollment, whereby youths seek shelter in the educational system to avoid hardships in the labor market: the “discouraged worker” thesis. Alternatively, the “encouraged worker” thesis predicts that economic downturns steer individuals away from education because of higher opportunity costs. This study provides a formal test of these opposing theories using data from the United States compared with similar sources from the United Kingdom, Germany, and Sweden. I investigate whether macroeconomic stimuli—including recessions and youth unemployment fluctuations—matter for enrollment decisions. Analyses rely on 10 years of detailed individual-level panel data, consisting of birth cohorts across several decades. Across data sources, results show enrollment persistence in secondary education is stronger in response to economic downturns. These patterns differ sharply for tertiary-enrolled students and those who recently left higher education. Surprisingly, U.S. youths display an increased hazard of school leaving and a decreased hazard of educational reenrollment in response to adverse conditions. In contrast, European youths tend to make enrollment decisions supportive of discouraged-worker mechanisms or insensitivity to adverse conditions. The U.S.-specific encouraged-worker mechanism might be explained by the relative importance of market forces in one’s early career and the high costs of university attendance, which induces risk aversion with regard to educational investment. The discussion addresses the consequences for educational inequality.

Unique Needs for the Implementation of Emergency Department Human Immunodeficiency Virus Screening in Adolescents.

The Centers for Disease Control and Prevention (CDC) recommend universal human immunodeficiency virus (HIV) screening starting at 13years, which has been implemented in many general U.S. emergency departments (EDs) but infrequently in pediatric EDs. We aimed to 1) implement a pilot of routine adolescent HIV screening in a pediatric ED and 2) determine the unique barriers to CDC-recommended screening in this region of high HIV prevalence. This was a prospective 4-month implementation of a routine HIV screening pilot in a convenience sample of adolescents 13 to 18years at a single pediatric ED, based on study personnel availability. Serum-based fourth-generation HIV testing was run through a central laboratory. Parents were allowed to remain in the room for HIV counseling and testing. Data were collected regarding patient characteristics and HIV testing quality metrics. Comparisons were made using chi-square and Fisher's exact tests. Regression analysis was performed to assess for an association between parent presence at the time of enrollment and adolescent decision to participate in HIV screening. Over 4months, 344 of 806 adolescents approached consented to HIV screening (57% female, mean±SD=15.1± 1.6years). Adolescents with HIV screening were more likely to be older than those who declined (p=0.025). Other blood tests were collected with the HIV sample for 21% of adolescents; mean time to result was 105minutes (interquartile range=69 to 123) and 79% were discharged before the result was available. Having a parent present for enrollment was not associated with adolescent participation (adjusted odds ratio=1.07, 95% CI=0.67 to 1.70). Barriers to testing included: fear of needlestick, time to results, cost, and staff availability. One of 344 tests was positive in a young adolescent with Stage 1 HIV. Routine HIV screening in adolescents was able to be implemented in this pediatric ED and led to the identification of early infection in a young adolescent who would have otherwise been undetected at this stage of disease. Addressing the unique barriers to adolescent HIV screening is critical in high-prevalence regions and may lead to earlier diagnosis and treatment in this vulnerable population.

Assessing Parent Decisions About Child Participation in a Behavioral Health Intervention Study and Utility of Informed Consent Forms

Obtaining informed consent is an important ethical obligation for clinical research participation that is imperfectly implemented. Research on improving consent processes often focuses on consent forms, but little is known about consent forms' influence on decision-making compared with other types of engagement. To evaluate whether parents decide whether to enroll their children in research before or after they receive the consent form. An online survey of 88 parents who enrolled or declined to enroll their child in a weight management intervention study between January 2, 2018, and June 24, 2019, was conducted; surveys were completed between February 2, 2018, and July 9, 2019. A 31-item survey asked about impressions of the study throughout the enrollment process, timing of enrollment decisions, and decision-making factors. Responses were summarized descriptively and subgroups were compared using the Fisher exact test or χ2 test. Self-reported timing of enrollment decision. A total of 106 parents were approached and gave permission for their contact information to be shared with the study team; 22 additional parents declined to allow their information to be shared, and 24 lost contact with the partner study before they could be asked for permission. A total of 88 parents (67 enrollees, 21 decliners) completed the survey (83% participation rate); 79 of 88 reporting gender (instead of sex, as biological sex was not relevant to survey) information were women (91%), 66 participants (75%) were non-Hispanic White, and 63 participants (72%) had annual household incomes greater than or equal to $70 000. No significant differences in respondent characteristics between enrollees and decliners were identified. Fifty-nine parents (67%) responded that they decided whether to enroll in the weight management study before receiving the consent form. Only 17 of 69 parents (25%) who remembered receiving the consent form responded that it taught them new information. The findings of this study suggest that interventions to improve informed consent forms may have limited influence on decision-making because many research decisions occur before review of the consent form. It appears that regulatory review and interventions to improve decision-making should focus more on early engagement (eg, recruitment materials). Future studies should test timing of decisions in other types of research with different populations and clinical settings.

Understanding Participation in Secondary Music Classes: A Literature Review

Sustaining and increasing participation in secondary music classes has been a regular topic of discourse within the field of music education. Music researchers and professionals have recently addressed specific issues related to music participation such as access to music classes, policy initiatives, and student interest in the music curriculum. This review of literature is an exploration of student enrollment trends in secondary music classes and a broad examination of the many factors that influence student enrollment decisions. In this review of literature, I frame music participation as a complex issue where multiple factors influence enrollment in secondary music classes. Next, research on the structural, interpersonal, and intrapersonal factors that affect music participation are presented. Finally, I address how music teachers and advocacy leaders might direct their efforts to support and increase music participation.

English

With the recent implementation of the K to 12 Program, academic institutions, specifically, Colleges and Universities in the Philippines have been faced with difficulties in determining projected freshmen enrollees vis-a-vis decision-making factors for efficient resource management. Enrollment targets directly impacts success factors of Higher Education Institutions. This study covered an analysis of various characteristics of freshmen applicants affecting their admission status in a Philippine university. A predictive model was developed using Logistic Regression to evaluate the probability that an admitted student will pursue to enroll in the Institution or not. The dataset used was acquired from the University Admissions Office. The office designed an online application form to capture applicants' details. The online form was distributed to all student applicants, and most often, students, tend to provide incomplete information. Despite this fact, student characteristics, as well as geographic and demographic data based on the students' location are significant predictors of enrollment decision. The results of the study show that given limited information about prospective students, Higher Education Institutions can implement machine learning techniques to supplement management decisions and provide estimates of class sizes, in this way, it will allow the institution to optimize the allocation of resources and will have better control over net tuition revenue.

Targeting of Water Rights Retirement Programs: Evidence from Kansas

This article assesses the water use impacts of the Conservation Reserve Enhancement Program in the Upper Arkansas River basin in Kansas, a water rights retirement program aimed at reducing depletion of the High Plains Aquifer. First, I use a fixed effects model with matched samples of farmers to determine the effect of the program on the water use of individuals who retire acreage. I find that every acre authorized for irrigation that is retired in the program represents about 1.28 acre‐feet of water that would have been used each year. Further, I do not find evidence that farmers increase their water use in an effort to satisfy program eligibility requirements. Second, I estimate a probit regression to determine which factors most influence the probability that a farmer retires a water right. Using the results of the probit regression, I then simulate enrollment decisions outside of the policy region to assess how features of the program impact its cost effectiveness and how the policy design could be improved. I find that programs that base incentives on past levels of water extraction lead to more water use reductions per dollar paid.

Examining enrolment decisions and life challenges of adult learners in advanced technologies programs

ABSTRACT The majority of students in the United States completing advanced technologies coursework, certifications, and AS/AAS degree programs within two-year colleges are adults with complex lives. They have to balance an array of challenges including health, children, and work. These school-work-life challenges can be informed by a body of knowledge related to adult decision-making patterns. Based on a national study of students in advanced technologies, we found females were significantly more likely to participate based on personal reasons. African American/Black students were significantly more likely to participate based on personal, life circumstances, and program fit. Hispanic/Latino students were more likely to participate based on personal, life circumstances, and program fit factors. Thus, enrolment and recruitment strategies at the 2-year institutional and program levels should prioritise adults/working professionals, females, and ethnic and racial minority students as a critical component of their support system, and faculty need to be knowledgeable about adult life patterns and transitions to accommodate working adult learners in their courses and programs.

Choosing Schools in Changing Places: Examining School Enrollment in Gentrifying Neighborhoods

School choice expansion in recent decades has weakened the strong link between neighborhoods and schools created under a strict residence-based school assignment system, decoupling residential and school enrollment decisions for some families. Recent work suggests that the neighborhood-school link is weakening the most in neighborhoods experiencing gentrification. Using a novel combination of individual, school, and neighborhood data that link children to both assigned and enrolled schools, this study examines family, school, and neighborhood factors that shape whether parents enroll in the assigned local school. I find that parents are more likely to opt out of neighborhood schools in gentrifying neighborhoods compared with non-gentrifying neighborhoods when nearby choice options are available. Recent movers to gentrifying neighborhoods bypass local schools more compared with parents who have lived in the neighborhood longer. Results have implications for thinking about neighborhood-school linkages in an era of school choice and urban change.

Utility of multiparametric magnetic resonance imaging in the risk stratification of men with Grade Group 1 prostate cancer on active surveillance

ObjectiveTo assess if the adoption of multiparametric magnetic resonance imaging (mpMRI) in active surveillance (AS) has improved the identification of occult higher‐grade prostate cancer (PCa).Patients and MethodsWe retrospectively identified men from the Johns Hopkins AS registry enrolled since 2013 (year of mpMRI adoption) with Grade Group (GG) 1 PCa and who underwent a single mpMRI. Men in this group were dichotomised by the presence (n = 207) or absence (negative mpMRI, n = 225) of one or more lesions with a Prostate Imaging‐Reporting and Data System (PI‐RADS) score of ≥ 3. Both groups were compared to a third cohort of men with GG1 PCa enrolled in AS prior to 2013 (pre‐mpMRI era, n = 669). The risk of upgrading to GG ≥ 2 PCa on follow‐up biopsies (performed with or without MRI targeting) was evaluated among the groups using survival analysis.ResultsMen in both mpMRI groups underwent a median (interquartile range [IQR]) of 2 (2–3) biopsies separated by a median (IQR) interval of 13 (12–16) months, whereas men in the pre‐MRI era underwent a median (IQR) of 3 (2–5) biopsies, separated by a median (IQR) interval of 12 (12–14) months. The 2‐ and 4‐year upgrade‐free survival rates were 93% and 83%, 74% and 59%; and, 87% and 76% for the negative mpMRI, PI‐RADS ≥ 3, and pre‐mpMRI‐era groups, respectively (P &lt; 0.001). On multivariable analysis, both mpMRI groups had significantly different risk of upgrading compared to pre‐mpMRI‐era group (negative mpMRI group: hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.39–0.95, P = 0.03; PI‐RADS ≥ 3 group: HR 1.96, 95% CI 1.36–2.82, P &lt; 0.001).ConclusionsmpMRI improves the risk stratification of men on AS and should be used to aid enrolment and monitoring decisions.

Determinants of enrollment decision in the community-based health insurance, North West Ethiopia: a case-control study

ObjectiveTo identify the determinants for enrollment decision in the community-based health insurance program among informal economic sector-engaged societies, North West Ethiopia.MethodUnmatched case-control study was conducted on 148 cases (member-to-insurance) and 148 controls (not-member-to-insurance program) from September 1 to October 30,2016. To select the villages and households, stratified then simple random sampling method was employed respectively. The data were entered in to Epi-info version 7 and exported to SPSS version 20 for analysis. Descriptive statistics, bi-variable, and multi-variable logistic regression analyses were computed to describe the study objectives and identify the determinants of enrolment decision for the insurance program. Odds ratio at 95% CI was used to describe the association between the independent and outcome variables.ResultsA total of 296 respondents (148 cases and 148 controls) were employed. The mean age for both cases and controls were 42 ± 11.73 and 40 ± 11.37 years respectively. Majority of respondents were males (87.2% for cases and 79% for controls). Family size between 4 and 6 (AOR = 2.26; 95% CI: 1.04, 4.89), history of illness by household (AOR = 3.24; 95% CI: 1.68, 6.24), perceived amount of membership contribution was medium (AOR = 2.3; 95% CI: 1.23, 4.26), being married (AOR = 6; 95% CI:1.43, 10.18) and trust on program (AOR = 4.79; 95% CI: 2.40, 9.55) were independent determinants for increased enrollment decision in the community-based health insurance. While, being merchant (AOR = 0.07; 95% CI: 0.09, 0.6) decreased the enrollment decision.ConclusionSocieties’ enrollment decision to community-based health insurance program was determined by demographic, social, economic and political factors. Households with large family sizes and farmers in the informal sector should be given maximal attention for intensifying enrollment decision in the insurance program.

Enrolling in Higher Education: The Impact of Regional Mobility and Public-Private Substitution Effects

:In this article, we study the enrollment decision of candidates to Portuguese public Higher Education Institutions (HEIs). We classify candidates according to their revealed preference for regional mobility and measure the impact of their mobility status on the likelihood of enrollment. For instance, candidates succeeding to be placed in their home district are about fourteen percentage points more likely to enroll than those pushed away. We also show that distance deters enrollments, even for candidates that reveal a preference for migrating. Finally, we measure the impact of the availability of private sector alternatives in the home district on the likelihood of enrollment and show that their existence reduces the likelihood of enrollment by up to nine percentage points.

Why and Which ELT Master’s Program?: Factors Influencing Student Enrollment Decisions

Why and Which ELT Master’s Program?: Factors Influencing Student Enrollment Decisions

Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision

Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students' academic success or risk of dropout thanks to advances in Data Mining techniques. Degrees such as Computer Science in particular are in ever greater demand. Although the number of students has increased, the number graduating is still not enough to provide society with as many as it requires. This study contributes to reversing this situation by introducing an approach that not only predicts the dropout risk or students' performance but takes action to help both students and educational institutions. The focus is on maximizing graduation rates by constructing a Recommender System to assist students with their selection of subjects. In particular, the challenge is addressed of constructing reliable Recommender Systems on the basis of data which are both sparse and few in quantity, imbalanced, and anonymized, and which might have been stored under imperfect conditions. This approach is successfully applied to create a Recommender System using a real-world dataset from a public Spanish university containing performance data of a Computer Science degree course, demonstrating its successful application in real environments. The construction of a support system based on that approach is described, its results are evaluated, and its implications for students' academic achievement, and for institutions' graduation rates are discussed. Through the construction of this decision support system for students, we intend to increase the graduation rates and lower the dropout rate.

College Access and Adult Health

We investigate the relationship between college openings, college attainment, and health behaviors and outcomes later in life. Though a large prior literature attempts to isolate the causal effect of education on health via instrumental variables (IV), most studies use instruments that affect schooling behavior in childhood or adolescence, i.e. before the college enrollment decision. Our paper examines whether an increase in 2- and 4-year institutions per capita (“college accessibility”) in a state contributes to higher college attainment and better health later in life. Using 1980-2015 Census and American Community Survey data, we find consistent evidence that accessibility of public 2-year institutions positively affects schooling attainment and subsequent employment and earnings levels, particularly among whites and Hispanics. With restricted-use 1984-2000 National Health Interview Survey data, we again find that public 2-year accessibility increases schooling and benefits a host of health behaviors and outcomes in adulthood: it deters smoking, raises exercise levels, and improves self-reported health. However, most long-term health conditions are unaffected, which may be partially due to the age of our sample.

The state of enrollment on the National Health Insurance Scheme in rural Ghana after eight years of implementation

BackgroundIn 2004, Ghana implemented a national health insurance scheme (NHIS) as a step towards achieving universal health coverage. In this paper, we assessed the level of enrollment and factors associated with NHIS membership in two predominantly rural districts of northern Ghana after eight years of implementation, with focus on the poor and vulnerable populations.MethodsA cross-sectional survey was conducted from July 2012 to December 2012 among 11,175 randomly sampled households with their heads as respondents. Information on NHIS status, category of membership and socio-demographic characteristics of household members was obtained using a structured questionnaire. Principal component analysis was used to compute wealth index from household assets as estimates of socio-economic status (SES). The factors associated with NHIS enrollment were assessed using logistic regression models. The reasons behind enrollment decisions of each household member were further investigated against their SES.ResultsApproximately half of the sampled population of 39,262 were registered with a valid NHIS card; 53.2% of these were through voluntary subscriptions by payment of premium whilst the remaining (46.8%) comprising of children below the ages of 18 years, elderly 70 years and above, pregnant women and formal sector workers were exempt from premium payment. Despite an exemption policy to ameliorate the poor and vulnerable households against catastrophic health care expenditures, only 0.5% of NHIS membership representing 1.2% of total exemptions granted on accounts of poverty and other social vulnerabilities was applied for the poor. Yet, cost of premium was the main barrier to NHIS registration (92.6%) and non-renewal (78.8%), with members of the lowest SES being worst affected. Children below the ages of 18 years, females, urban residents and those with higher education and SES were significantly more likely to be enrolled with the scheme.ConclusionsDespite the introduction of policy exemptions as an equity measure, the poorest of the poor were rarely identified for exemption. The government must urgently resource the Department of Social Welfare to identify the poor for NHIS enrollment.

Leaving Money on the Table? Suboptimal Enrollment in the New Social Pension Program in China.

China's recently implemented New Rural Pension Scheme (NRPS), the largest social pension program in the world, was designed to provide financial protection for its rural population and reduce economic inequities. Yet the impact of this program is mitigated if those eligible fail to enroll. This paper examines the extent to which pension-eligible individuals, and their families, make optimal pension decisions. Families are involved in the NRPS decisions because, in most cases, adult children need to enroll as a prerequisite of their parents' receipt of benefits. We examine the decisions of both those eligible for pension benefits (i.e. over 60 years old) and their adult children. We use the rural sample of the 2012 China Family Panel Study to study determinants of the decision to enroll in NRPS, premiums paid, and time taken to enroll. We find evidence of low and suboptimal pension enrollment by eligible individuals and their families. Suboptimal enrollment takes various forms including failure to switch from the dominated default pension program to NRPS and evidence that families do not make mutually beneficial intra-family decisions. For the older cohort, few individual and family characteristics are significant in enrollment decisions, but village characteristics play an important role. For the younger cohort, more individual-level characteristics are significant, including own and children's education. Village characteristics are important but not as much as for the older cohort. Our finding of suboptimal enrollment is important as it highlights the need for policies to improve enrollment. This paper provides needed information on the extent of the factors relating to suboptimal enrollment.