Examining the Impacts of Middle School Disciplinary Policies on Ninth-Grade Retention

2019 ◽  
pp. 089590481984360
Author(s):  
Elise Swanson ◽  
Heidi H. Erickson ◽  
Gary W. Ritter

We estimate the relationship between exclusionary discipline given in eighth-grade and the probability of ninth-grade retention. We use a rich 7-year, student-level, panel data set from Arkansas. We use a novel approach by limiting our sample to students who switch schools between eighth and ninth grades. This movement gives each student a fresh start and removes the potential confound of a student’s reputation as a “problem student” that could influence teachers to be harsher on students who already have a disciplinary record. Further, we control for student infractions in eighth-grade, to focus on the relationship between the exclusionary consequence (rather than the precipitating behavior) and future academic success. We find that students who receive exclusionary discipline in eighth grade are more likely to be retained in ninth-grade compared with similar students whose infractions did not result in exclusionary discipline. Moreover, we find that the likelihood of ninth-grade retention increases with the number of days of exclusionary discipline. We, however, did not find any statistically significant subgroup differences.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
A. D'Amato

PurposeThe purpose of this paper is to analyze the relationship between intellectual capital and firm capital structure by exploring whether firm profitability and risk are drivers of this relationship.Design/methodology/approachBased on a comprehensive data set of Italian firms over the 2008–2017 period, this paper examines whether intellectual capital affects firm financial leverage. Moreover, it analyzes whether firm profitability and risk mediate the abovementioned relationship. Financial leverage is measured by the debt/equity ratio. Intellectual capital is measured via the value-added intellectual coefficient approach.FindingsThe findings show that firms with a high level of intellectual capital have lower financial leverage and are more profitable and riskier than firms with a low level of intellectual capital. Furthermore, this study finds that firm profitability and risk mediate the relationship between intellectual capital and financial leverage. Thus, the higher profitability and risk of intellectual capital-intensive firms help explain their lower financial leverage.Research limitations/implicationsThe findings have several implications. From a theoretical standpoint, the paper presents and tests a mediating model of the relationship between intellectual capital and financial leverage and its underlying processes. In terms of the more general managerial implications, the results provide managers with a clear interpretation of the relationship between intellectual capital and financial leverage and point to the need to strengthen the capital structure of intangible-intensive firms.Originality/valueThrough a mediation framework, this study provides empirical evidence on the relationship between intellectual capital and firm financial leverage by exploring the underlying mechanisms behind that relationship, which is a novel approach in the literature.


2021 ◽  
Vol 9 (4) ◽  
pp. 46-61
Author(s):  
Behzad Rsoolzadeh‌ ◽  
◽  
Rasoul Abbasi Taghidizaj ◽  
Sobhanali Forouzandeh‌ ◽  
◽  
...  

Objective: This study aimed to investigate the factors affecting students' academic achievement based on Thames international test data. Methods: The method of this study is quantitative comparative. The statistical sample of this study consists of eighth-grade students from 57 countries who participated in the 2015 Thames International Test. The data set was analyzed using the fuzzy logic approach. Results: The necessary and sufficient individual conditions showed that the conditions of the relationship between home and school, school social atmosphere, students' attitudes, and educational activities in the classroom are each a necessary condition, and family background is a sufficient condition for achievement (academic achievement). Conclusion: In the causal and combined causes, among the many causal paths, only one causal path based on theoretical and experimental adequacy criteria (coverage and adaptation coefficient) was of theoretical and experimental importance was necessary. In this causal path, family background and the relationship between home and school in combination provided a sufficient turning point in the occurrence of the desired result (academic success).


2018 ◽  
Author(s):  
◽  
Charles (Charles Hollis) Frey

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The purpose of this study was to examine the relationship between Academic Progress Rate and team, athletic department, and institutional characteristics. The conceptual foundation for this study was the Model for Team Academic Progress Rate, which was adapted from the Comeaux and Harrison (2011) Model for College Student Athlete Academic Success. Multiple data sources were compiled to create the athletic team data set. The dependent variables of Academic Progress Rate, team eligibility rate, and team retention rate were correlated against a set of 20 independent variables at the athletic team, athletic department, and institutional levels. The analytic sample consisted of 12,616 NCAA Division I, Football Bowl Subdivision athletic teams participating in 121 public institutions between the academic years of 2005-2006 and 2011-2012. Pearson correlations and multiple linear regression analyses were conducted at each level of inquiry and for each dependent variable. The results of the regressions revealed that gender, sport profile, and athletic aid spending, per student-athlete, had relatively weak relationships with APR and the fully specified model accounted for 14.3% of the variance observed in APR scores. The results of the study could inform future research about the importance of team level characteristics in predicting APR and the variations between the eligibility and retention aspects of APR. This study could also inform academic support programming and policy making for student-athletes and aid in understanding the conditions that lead to greater academic success.


2019 ◽  
Vol 48 (5) ◽  
pp. 251-262 ◽  
Author(s):  
Kaitlin P. Anderson ◽  
Gary W. Ritter ◽  
Gema Zamarro

While numerous studies have demonstrated a correlation between exclusionary discipline and negative student outcomes, this relationship is likely confounded by other factors related to the underlying misbehavior or risk of disciplinary referral. Using 10 years of student-level demographic, achievement, and disciplinary data from all K–12 public schools in Arkansas, we find that exclusionary consequences are related to worse academic outcomes (e.g., test scores and grade retention) than less exclusionary consequences, controlling for type of behavioral infraction. However, despite controlling for a robust set of covariates, sensitivity checks demonstrate that the estimated relationships between consequences and academic outcomes may still be driven by selection bias into consequence type. Implications for policy and practice are discussed.


2020 ◽  
pp. 0013189X2094950 ◽  
Author(s):  
Marc L. Stein ◽  
Julia Burdick-Will ◽  
Jeffrey Grigg

The challenge of a long and difficult commute to school each day is likely to wear on students, leading some to change schools. We used administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014–2015 to estimate the relationship between travel time on public transportation and school transfer during the ninth grade. We show that students who have relatively more difficult commutes are more likely to transfer than peers in the same school with less difficult commutes. Moreover, we found that when these students change schools, their newly enrolled school is substantially closer to home, requires fewer vehicle transfers, and is less likely to have been included among their initial set of school choices.


2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.


2021 ◽  
Vol 45 (2) ◽  
pp. 261-289
Author(s):  
Eduard J. Alvarez-Palau ◽  
Alfonso Díez-Minguela ◽  
Jordi Martí-Henneberg

AbstractThis study explores the relationship between railroad integration and regional development on the European periphery between 1870 and 1910, based on a regional data set including 291 spatial units. Railroad integration is proxied by railroad density, while per capita GDP is used as an indicator of economic development. The period under study is of particular relevance as it has been associated with the second wave of railroad construction in Europe and also coincides with the industrialization of most of the continent. Overall, we found that railroads had a significant and positive impact on the growth of per capita GDP across Europe. The magnitude of this relationship appears to be relatively modest, but the results obtained are robust with respect to a number of different specifications. From a geographical perspective, we found that railroads had a significantly greater influence on regions located in countries on the northern periphery of Europe than in other outlying areas. They also helped the economies of these areas to begin the process of catching up with the continent’s industrialized core. In contrast, the regions on the southern periphery showed lower levels of economic growth, with this exacerbating the preexisting divergence in economic development. The expansion of the railroad network in them was unable to homogenize the diffusion of economic development and tended to further benefit the regions that were already industrialized. In most of the cases, the capital effect was magnified, and this contributed to the consolidation of newly created nation-states.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S641-S641
Author(s):  
Shanna L Burke

Abstract Little is known about how resting heart rate moderates the relationship between neuropsychiatric symptoms and cognitive status. This study examined the relative risk of NPS on increasingly severe cognitive statuses and examined the extent to which resting heart rate moderates this relationship. A secondary analysis of the National Alzheimer’s Coordinating Center Uniform Data Set was undertaken, using observations from participants with normal cognition at baseline (13,470). The relative risk of diagnosis with a more severe cognitive status at a future visit was examined using log-binomial regression for each neuropsychiatric symptom. The moderating effect of resting heart rate among those who are later diagnosed with mild cognitive impairment (MCI) or Alzheimer’s disease (AD) was assessed. Delusions, hallucinations, agitation, depression, anxiety, elation, apathy, disinhibition, irritability, motor disturbance, nighttime behaviors, and appetite disturbance were all significantly associated (p<.001) with an increased risk of AD, and a reduced risk of MCI. Resting heart rate increased the risk of AD but reduced the relative risk of MCI. Depression significantly interacted with resting heart rate to increase the relative risk of MCI (RR: 1.07 (95% CI: 1.00-1.01), p<.001), but not AD. Neuropsychiatric symptoms increase the relative risk of AD but not MCI, which may mean that the deleterious effect of NPS is delayed until later and more severe stages of the disease course. Resting heart rate increases the relative risk of MCI among those with depression. Practitioners considering early intervention in neuropsychiatric symptomology may consider the downstream benefits of treatment considering the long-term effects of NPS.


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