A Data-Based Model to Predict Postsecondary Educational Attainment of Low-Socioeconomic-Status Students

2008 ◽  
Vol 11 (5) ◽  
pp. 2156759X0801100
Author(s):  
Sang Min Lee ◽  
M. Harry Daniels ◽  
Ana Puig ◽  
Rebecca A. Newgent ◽  
Suk Kyung Nam
Keyword(s):  
Socioeconomic Status ◽  
Educational Attainment ◽  
School Counselors ◽  
Low Socioeconomic Status ◽  
Classroom Behavior ◽  
Academic Expectations ◽  
Student Background ◽  
Low Socioeconomic ◽  
High School Math ◽  
Math Scores

The National Educational Longitudinal Study database was used to examine the educational development of students of low socioeconomic status (SES). A path analysis was conducted to determine the effects of student background, psychological, and behavioral variables on postsecondary educational attainment of low-SES students. The results show that high school math scores were the most powerful predictor of postsec-ondary educational attainment, followed by effects of academic expectations, locus of control, reading scores, problem behavior, and classroom behavior. Implications for school counselors are discussed.

The Bannatyne Recategorization Assessment Procedure: Is it Valid for Individual Diagnosis of LD Children?

1986 ◽  
Vol 9 (3) ◽  
pp. 208-213 ◽  
Author(s):  
William D. Dundon ◽  
Trevor E. Sewell ◽  
John L. Manni ◽  
David Goldstein
Keyword(s):  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Assessment Procedure ◽  
Diagnostic Utility ◽  
Low Socioeconomic ◽  
Math Scores ◽  
Reading And Math

The WISC-R subtest scores of 159 black LD children of low socioeconomic status were recategorized into Spatial (Sp), Conceptual (C), and Sequential (Sq) scales as recommended by Bannatyne (1974). As a group, the sample displayed the classic Sp > C > Sq pattern. However, only 18 of the subjects (11.3%) were identified in accordance with the requirement that the differences between categories be statistically reliable for each individual. This subgroup was matched with LD controls not demonstrating the Bannatyne pattern. Analyses of longitudinal reading and math scores revealed no differences between groups. It was concluded that the diagnostic utility of the Bannatyne pattern is questionable.

Associations of rural residence and low socioeconomic status on the risk of new onset cardiovascular disease (CVD) in cancer patients.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 90-90
Author(s):  
Atul Batra ◽  
Shiying Kong ◽  
Rodrigo Rigo ◽  
Winson Y. Cheung
Keyword(s):  
Socioeconomic Status ◽  
Educational Attainment ◽  
Cancer Patients ◽  
Low Socioeconomic Status ◽  
Low Income ◽  
Low Ses ◽  
Rural Residence ◽  
Low Socioeconomic ◽  
Low Education

90 Background: Cancer patients are predisposed to CVD due to cancer treatments and shared risk factors (smoking/physical inactivity). We aimed to assess if rural residence and low socioeconomic status (SES) modify the risk of developing CVD. Methods: Patients diagnosed with non-metastatic solid organ cancers without baseline CVD in a large Canadian province from 2004 to 2017 were identified using the population-based registry. Postal codes were linked with Census data to determine rural residence as well as neighborhood-level income and educational attainment. Low income was defined as <46000 CAD/annum; low education was defined as a neighborhood in which <80% attended high school. Myocardial infarction, congestive heart failure, arrythmias and cerebrovascular accident constituted as CVD.We performed logistic regression analyses to examine the associations of rural residence and low SES with the development of CVD, adjusting for measured confounding variables. Results: We identified 81,275 patients diagnosed with cancer without pre-existing CVD. The median age was 62 years and 54.2% were women. The most prevalent cancer types included breast (28.6%), prostate (23.1%), and colorectal (14.9%). At a median follow-up of 68 months, 29.4% were diagnosed with new CVD. The median time from cancer diagnosis to CVD was 29 months. Rural patients (32.3 vs 28.4%,P < .001) and those with low income (30.4% vs 25.9%,P < .001) or low educational attainment (30.7% vs 27.6%,P < .001) experienced higher rates of CVD. After adjusting for baseline factors and treatment, rural residence (odds ratio[OR], 1.07; 95% confidence interval[CI], 1.04-1.11;P < .001), low income (OR,1.17;95%CI,1.12-1.21;P < .001) and low education (OR,1.08;95%CI,1.04-1.11;P < .001) continued to associate with higher odds of CVD. Further, patients with colorectal cancer were more likely to develop CVD compared with other tumors (OR,1.12;95% CI,1.04-1.16;P = .001). A multivariate Cox regression model showed that patients with low SES were more likely to die, but patients residing rurally were not. Conclusions: Approximately one-third of cancer survivors develop CVD on follow-up. Despite universal healthcare, marginalized populations experience different CVD risk profiles that should be considered when operationalizing lifestyle modification strategies and cardiac surveillance programs. [Table: see text]

scholarly journals The Impact of the Michigan Merit Curriculum on High School Math Course-Taking

2019 ◽  
Vol 41 (2) ◽  
pp. 164-188
Author(s):  
Soobin Kim ◽  
Gregory Wallsworth ◽  
Ran Xu ◽  
Barbara Schneider ◽  
Kenneth Frank ◽  
...  
Keyword(s):  
High School ◽  
Low Socioeconomic Status ◽  
College Preparatory ◽  
Low Socioeconomic ◽  
High School Math ◽  
Math Scores ◽  
Achievement Outcomes ◽  
Enrollment Rates ◽  
Michigan Merit Curriculum ◽  
The Impact

Michigan Merit Curriculum (MMC) is a statewide college-preparatory policy that applies to the high school graduating class of 2011 and later. Using detailed Michigan high school transcript data, this article examines the effect of the MMC on various students’ course-taking and achievement outcomes. Our analyses suggest that (a) post-MMC cohorts took and passed approximately 0.2 additional years’ of math courses, and students at low socioeconomic status (SES) schools drove nearly all of these effects; (b) post-policy students also completed higher-level courses, with the largest increase among the least prepared students; (c) we did not find strong evidence on students’ ACT math scores; and (d) we found an increase in college enrollment rates for post-MMC cohorts, and the increase is mostly driven by well-prepared students.

Tomorrow never knows: Paradoxical effects of a future prime on performance among low socioeconomic status college students

2014 ◽  
Author(s):  
Sarah Dayle Herrmann ◽  
Jessica Bodford ◽  
Robert Adelman ◽  
Oliver Graudejus ◽  
Morris Okun ◽  
...  
Keyword(s):  
College Students ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Low Socioeconomic ◽  
Paradoxical Effects

scholarly journals Home Language and Literacy Environments and Early Literacy Trajectories of Low‐Socioeconomic Status Chilean Children

2020 ◽  
Vol 91 (6) ◽  
pp. 2042-2062
Author(s):  
Susana Mendive ◽  
Mayra Mascareño Lara ◽  
Daniela Aldoney ◽  
J. Carola Pérez ◽  
José P. Pezoa
Keyword(s):  
Socioeconomic Status ◽  
Early Literacy ◽  
Low Socioeconomic Status ◽  
Home Language ◽  
Language And Literacy ◽  
Low Socioeconomic ◽  
Literacy Environments

scholarly journals Association of socioeconomic status with medical assistance in dying: a case–control analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e043547
Author(s):  
Donald A Redelmeier ◽  
Kelvin Ng ◽  
Deva Thiruchelvam ◽  
Eldar Shafir
Keyword(s):  
Socioeconomic Status ◽  
Palliative Care ◽  
Low Socioeconomic Status ◽  
Case Control ◽  
Control Analysis ◽  
Medical Assistance ◽  
Low Socioeconomic ◽  
Medical Assistance In Dying ◽  
Income Status ◽  
Economic Constraints

ObjectivesEconomic constraints are a common explanation of why patients with low socioeconomic status tend to experience less access to medical care. We tested whether the decreased care extends to medical assistance in dying in a healthcare system with no direct economic constraints.DesignPopulation-based case–control study of adults who died.SettingOntario, Canada, between 1 June 2016 and 1 June 2019.PatientsPatients receiving palliative care under universal insurance with no user fees.ExposurePatient’s socioeconomic status identified using standardised quintiles.Main outcome measureWhether the patient received medical assistance in dying.ResultsA total of 50 096 palliative care patients died, of whom 920 received medical assistance in dying (cases) and 49 176 did not receive medical assistance in dying (controls). Medical assistance in dying was less frequent for patients with low socioeconomic status (166 of 11 008=1.5%) than for patients with high socioeconomic status (227 of 9277=2.4%). This equalled a 39% decreased odds of receiving medical assistance in dying associated with low socioeconomic status (OR=0.61, 95% CI 0.50 to 0.75, p<0.001). The relative decrease was evident across diverse patient groups and after adjusting for age, sex, home location, malignancy diagnosis, healthcare utilisation and overall frailty. The findings also replicated in a subgroup analysis that matched patients on responsible physician, a sensitivity analysis based on a different socioeconomic measure of low-income status and a confirmation study using a randomised survey design.ConclusionsPatients with low socioeconomic status are less likely to receive medical assistance in dying under universal health insurance. An awareness of this imbalance may help in understanding patient decisions in less extreme clinical settings.

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