Academic literature on the topic 'Predictors for college admission'

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Journal articles on the topic "Predictors for college admission"

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Sesodia, Sanjay, David Molnar, and Graham P. Shaw. "Can We Predict 4-year Graduation in Podiatric Medical School Using Admission Data?" Journal of the American Podiatric Medical Association 102, no. 6 (November 1, 2012): 463–70. http://dx.doi.org/10.7547/1020463.

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Background: This study examined the predictive ability of educational background and demographic variables, available at the admission stage, to identify applicants who will graduate in 4 years from podiatric medical school. Methods: A logistic regression model was used to identify two predictors of 4-year graduation: age at matriculation and total Medical College Admission Test score. The model was cross-validated using a second independent sample from the same population. Cross-validation gives greater confidence that the results could be more generally applied. Results: Total Medical College Admission Test score was the strongest predictor of 4-year graduation, with age at matriculation being a statistically significant but weaker predictor. Conclusions: Despite the model’s capacity to predict 4-year graduation better than random assignment, a sufficient amount of error in prediction remained, suggesting that important predictors are missing from the model. Furthermore, the high rate of false-positives makes it inappropriate to use age and Medical College Admission Test score as admission screens in an attempt to eliminate attrition by not accepting at-risk students. (J Am Podiatr Med Assoc 102(6): 463–470, 2012)
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Alkushi, Abdulmohsen, and Abdulaziz Althewini. "The Predictive Validity of Admission Criteria for College Assignment in Saudi Universities: King Saud bin Abdulaziz University for Health Sciences Experience." International Education Studies 13, no. 4 (March 22, 2020): 141. http://dx.doi.org/10.5539/ies.v13n4p141.

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Admission criteria can be used to predict Saudi student performance in college, but significant differences across several studies exists. This study explores the predictive power of admission criteria for college assignment using King Saud bin Abdulaziz University for Health Sciences as a model. Scores from high school and standardized tests were collected for 1,595 students. Data were analyzed with multinomial logistic and multivariate linear regression. A formula was generated to determine student college assignment based on their admission criteria profile. The results showed that all admission criteria were significant predictors of college assignment but accounted for only 21.1% of the variance. Based on the results of this study, admission criteria may not be reliable predictors of college assignment on their own, and additional criteria for measuring student success are needed.
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Althewini, Abdulaziz. "Prediction of Standardized Tests and English Competence for Saudi Medical Students’ Performance in an Introductory Physics Course." International Journal of English Linguistics 10, no. 2 (February 5, 2020): 153. http://dx.doi.org/10.5539/ijel.v10n2p153.

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The following study tested the relationship between admission criteria and college students’ performance in an introductory physics course. For this study, I analyzed the performance of 250 students based on two college admission standardized tests (i.e., General Aptitude Test (GAT), Scholastic Achievement Admission Test (SAAT)), and English competence performance (i.e., average English course grades and reading and communication proficiency test). Based on this analysis, GAT and SAAT, along with English competence, are significant individual predictors for students’ performance in physics. Reading proficiency tests were the best individual predictors in simple linear regression analysis with 19.6% variance. The combined methods, with multivariate regression analysis, explained only 29.3% of physics course grade variance. This low variance of Saudi admission criteria for a single physics course should motivate Saudi policymakers to conduct a national study that includes an increased number of participants. Through such a national study, more evidence-based conclusions regarding the college admission system can be made to improve the admission process for Saudi students.
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Alnabhan, Mousa, and Michael Harwell. "PSYCHOMETRIC CHALLENGES IN DEVELOPING A COLLEGE ADMISSION TEST FOR JORDAN." Social Behavior and Personality: an international journal 29, no. 5 (January 1, 2001): 445–58. http://dx.doi.org/10.2224/sbp.2001.29.5.445.

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In 1998, the Jordanian Council of Higher Education authorized the construction of a standardized aptitude test that would be used to assist colleges and universities in admissions decisions. This paper reports the results of a study that examined whether test items were operating as desired and path analyses that explored predictors of student performance for a highly selective sample of Jordanian students. Item analyses indicated that thirty percent of the items showed inadequate discrimination or inappropriate difficulty levels, and an additional nineteen percent of the items showed evidence of differential item functioning attributable to sex. The path analyses indicated that the strongest predictors of performance emerged for female students and included parental educational level and whether students attended a government-sponsored school or a private school. For males, the same predictive relationships were negligible.
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Althewini, Abdulaziz. "The Predictive Validity of Standardized Tests and English Proficiency for Saudi Medical Students’ Performance in Biology." International Journal of Education and Literacy Studies 7, no. 4 (October 31, 2019): 158. http://dx.doi.org/10.7575/aiac.ijels.v.7n.4p.158.

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The study is designed to examine the predictive power of Saudi-admission criteria for student performance in an introductory biology course. It focuses on the second semester at King Saud bin Abdulaziz University for Health Sciences. The study addresses whether the General Aptitude test (GAT), the Scholastic Achievement Admission Test (SAAT), and the students’ English proficiency, taken together can accurately predict student performance in the biology course. Their English proficiency was measured by using the average grade in the intensive English courses taken in the first semester, in addition to the average grade in the reading and communication proficiency tests. The research involved the results of 250 male students in the admission criteria and biology-course grades. Simple linear and multivariate regression models are used to determine the predictive variance of each admission criterion for student success in the biology course. The results demonstrate that the admission criteria are significant predictors, but with a variance of 26.6%. The results also show that individually, GAT and SAAT are the poorest predictors, whereas the reading and communication proficiency tests were the best. The findings reveal that the predictive power of these admission criteria as a combined model is low. Additionally, more investigation is necessary to ascertain whether these criteria are also low predictors in other subjects and in overall college learning.
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Wambuguh, Oscar, Monika Eckfield, and Lynn Van Hofwegen. "Examining the Importance of Admissions Criteria in Predicting Nursing Program Success." International Journal of Nursing Education Scholarship 13, no. 1 (January 1, 2016): 87–96. http://dx.doi.org/10.1515/ijnes-2015-0088.

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AbstractBaccalaureate nursing programs select students likely to graduate, become licensed, and contribute to a diverse workforce, and admissions criteria need to support those goals. This study assessed five criteria: pre-admit science GPA; TEAS score; healthcare experience; previous baccalaureate degree; and pre-admission university enrollment vs. college transfer as predictors of three desired outcomes: graduation; nursing program GPA; and passing NCLEX-RN. Results found TEAS and pre-admit science GPA predicted nursing program outcomes. Students with TEAS≥82 had 8 % greater probability of graduating, 13 % greater probability of a GPA≥3.25, and 9 % greater probability of passing NCLEX-RN, compared to students with TEAS < 82. Students with pre-admit science GPAs≥3.8 had 11 % greater probability of passing NCLEX-RN and 14 % greater probability of a GPA≥3.25 compared to students with pre-admit science GPAs < 3.8. Further discussions regarding factors important for training a diverse nursing workforce and effective ways to implement non-academic admission criteria are warranted.
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Callena, Eleonor, Bonifacio Gabales, Rosalinda Tutor, Shirley Villanueva, Christopher Gonzales, Angel De Vera, Sheila Caberte, Virginia Barbara Nillas, Jay Acerbo, and Anastacio Pantaleon. "Predictors of Passing Probability in the Licensure Examination for Selected Programs in the University of Southeastern Philippines." Southeastern Philippines Journal of Research and Development 24, no. 1 (March 29, 2019): 1–16. http://dx.doi.org/10.53899/spjrd.v24i1.12.

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Performance of higher education institutions in licensure examinations is reflective of the effectiveness of their curricular programs. This study employed a causal design to evaluate graduates’ academic attributes that can potentially determine the likelihood of passing the state-administered board examinations. Considered predictor variables are ratings in University admission test, average high school and college general point averages as well as course grades in major and professional courses. The test of significance of these variables was derived from a binary logistic regression. Results of the evaluation indicated that performance indicators varied across programs. The implications on students’ academic attributes, the institution’s admission and retention policy, assessment practices and quality assurance mechanisms are discussed.
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Patel, Terral A., Shaun A. Nguyen, and David R. White. "Clinical Indicators of Admission for Pediatric Cochlear Implant Procedures." Annals of Otology, Rhinology & Laryngology 127, no. 7 (June 1, 2018): 470–74. http://dx.doi.org/10.1177/0003489418778880.

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Objectives: A minority of children undergoing cochlear implantation (CI) are admitted overnight postoperatively, but there are little data on prognostic indicators. Our goal is to review national data to identify variables associated with admission and identify effects on outcomes. Methods: We analyzed data from the 2012-2015 American College of Surgeons’ National Surgical Quality Improvement Program-Pediatric (ACS NSQIP-P) program use files. The CI patients were identified by CPT code. Demographics, comorbidities, anesthesia time, total operation time, 30-day complications, and 30-day readmission were compared between ambulatory and admitted patients. Results: A total of 2943 CI patients were included, with 17.2% of these admitted post implantation. Single variable analysis revealed multiple factors associated with admission post implantation. Multivariable analysis showed patients with asthma were 2.2 times ( P < .001; odds ratio [OR] = 1.484-3.227) and those with structural central nervous system (CNS) abnormalities 2.1 times ( P < .001; OR = 1.584-2.706) more likely to be admitted. Younger age ( P = .002; OR = 0.995-0.999) and longer operation time ( P < .001; OR = 1.003-1.006) were weak predictors. Two hundred sixteen patients lacked any factors but were still admitted. They had similar outcomes to ambulatory healthy patients. Conclusion: We identified factors associated with admission post-CI and higher readmission rates. Asthma and CNS abnormalities are strong predictors of admission post implantation. Forty-two percent of admitted patients lack any of these factors and have comparable outcomes to corresponding ambulatory patients.
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Sarid, Miriam, Yael Meltzer, and Michal Raveh. "Academic Achievements of College Graduates With Learning Disabilities Vis-a-Vis Admission Criteria and Academic Support." Journal of Learning Disabilities 53, no. 1 (November 1, 2019): 60–74. http://dx.doi.org/10.1177/0022219419884064.

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Postsecondary entrance examination scores are generally low predictors of college achievement (grade point average [GPA]) for students with learning disabilities (LD). The difficulties with meeting academic requirements have raised the awareness of the needs of students with LD for support services. The present study examined the adequacy of entrance criteria to academic studies for students with LD and the effectiveness of three support levels during their academic studies in increasing their academic gains. Data were collected for 315 college graduates with LD and 955 graduates who do not have LD (NLD) who completed their BA studies in a college in Israel. Although the admission scores of graduates with LD were lower than those of NLD graduates, their GPA was higher than the GPA of NLD graduates. The psychometric score had a low correlation with final college GPA of graduates with LD. There was no difference in the final GPA of the graduates with LD in the different support programs. The findings suggest that academic support can be an effective way to help students with LD to eliminate or close the gap between them and NLD students and to earn an academic degree, regardless of what if any admission criteria were applied to them.
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Zdradzinski, Michael J., Michael P. Phelan, and Sharon E. Mace. "Impact of Frailty and Sociodemographic Factors on Hospital Admission From an Emergency Department Observation Unit." American Journal of Medical Quality 32, no. 3 (April 26, 2016): 299–306. http://dx.doi.org/10.1177/1062860616644779.

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Understanding factors associated with an increased risk of hospital admission from emergency department (ED) observation units (OUs) could be valuable in disposition decisions. To evaluate the impact of frailty and sociodemographic factors (SDFs) on admission risk, patients in an ED OU were surveyed. Survey measures included SDFs, social habits, and frailty measured by the Katz Index of Independence in Activities of Daily Living. Of 306 surveyed, 18% were admitted and 82% were discharged. Demographics were similar between groups. More admitted patients responded positively to the Katz Index (28% vs 13%, P = .007; odds ratio = 2.73; 95% CI = 1.35-5.51). College graduation and current employment favored the discharge group, while admitted patients were more likely to receive Social Security disability insurance. Frailty remained associated with admission on multivariable analysis. Frailty, disability insurance, and lower education are predictors of admission from an OU and could serve as screening criteria in disposition decisions.
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Dissertations / Theses on the topic "Predictors for college admission"

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Parkinson, Lisa Michiko. "Prospective First-Generation College Racial Minority Students: Mediating Factors that Facilitate Positive Educational Characteristics for College Admission." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/6043.

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First-generation college (FGC) students represent a small portion of the population of students on college campuses across the nation. Racial minority students are also highly underrepresented at four-year institutions. When one combines FGC students who are also racial minorities, they comprise an even smaller subgroup of students attending four-year college campuses. Research conducted to evaluate how FGC students perform their first year in college is prevalent. Additionally, research has been completed on factors that help predict a high school student's admission into and performance in college. However, very little research exists about factors identified in high school that may help strengthen a prospective FGC, racial minority, and high school student's admission into college. This study will utilize the RELATE questionnaire to evaluate individual characteristics or circumstances identified in prospective first-generation college racial minority students that may be potentially mediated for by high school counselors or college administrators to help strengthen college or university admission. Counselors or advisors could have an impact on improving the likelihood of college or university admission for this population by facilitating the process of coming to terms with family stressors and/or strengthening their flexibility or adaptability to new or different environments, learning, and people. Since the RELATE database does not include direct data regarding college admission, positive student educational characteristics such as sociability, calmness, organization, maturity, and happiness will be utilized to represent potential stronger preparation for admission into college. RELATE is a questionnaire designed for individuals in a committed relationship and provides important information regarding the individual, the partner, and the relationship. Research with the RELATE questionnaire data is generally utilized in family and social science domains. This study is unique since it accesses the individual instead of couple data for positive educational characteristics and research. This comparative study between prospective first-generation college White students and prospective first-generation college racial minority students is designed to assist educators in secondary and higher educational levels to better prepare prospective FGC students, particularly prospective FGC racial minority students, for college admission. Also, this study will distinguish between various characteristics that may assist college recruiters identify prospective FGC students who may be a strong fit for their institutions.
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Abell, Patricia P. Klass Patricia Harrington. "The efficacy of quantitative factors incorporated into the college admissions process as predictors of college success." Normal, Ill. Illinois State University, 2002. http://wwwlib.umi.com/cr/ilstu/fullcit?p3064506.

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Thesis (Ph. D.)--Illinois State University, 2002.
Title from title page screen, viewed March 10, 2006. Dissertation Committee: Patricia H. Klass (chair), Al Azinger, Carolyn Z. Bartlett, Ross Hodel. Includes bibliographical references (leaves 116-130) and abstract. Also available in print.
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Silman, Timothy. "Race, class rank, and college admission probability." CONNECT TO ELECTRONIC THESIS, 2006. http://hdl.handle.net/1961/3616.

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Zhang, Haibo. "Analysis of the Chinese college admission system." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4463.

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This thesis focuses on the problems of the Chinese University Admission (CUA) system. Within the field of education, the system of university admissions involves all of Chinese society and causes much concern amongst all social classes. University admissions have been researched since the middle of last century as an issue which has economic impact. However, little attention has been paid to the CUA system from the perspective of economics. This thesis explores a number of interesting aspects of the system. As a special case of the priority-based matching mechanism, the CUA system shares most properties of the Boston Mechanism, which is another example of a priority-based matching mechanism. But it also has some unique and interesting characteristics. The first chapter will introduce the main principles of the CUA system in detail and discuss stability, efficiency, strategy-proofness, and other properties under different informational assumptions. There is a heated debate about whether the CUA system should be abandoned or not. Educational corruption is one of the issues that have been raised. Corruption is a major issue of the CUA system as well as university admission systems in other areas in the world, e.g. India, Russia, etc. We contrast the performance of markets and exams under the assumption that there exists corruption in the admission process. The problem will be analyzed under perfect capital markets and also under borrowing constraints. We use auction theory to obtain equilibria of the market system and the exam system and analyse the effects of corruption on the efficiency of the two systems. We conclude that the exam system is superior to the market system if we only consider the issue of corruption. In the third chapter, we construct a model to reveal the forces that positively sort students into different quality universities in a free choice system under assumptions of supermodular utility and production functions. Given a distribution of student ability and resources, we analyse the planner's decisions on the number of universities and the design of the "task level" for each university, as well as the allocation of resources between universities. Students gain from completing requirements (tasks) in universities, while having to incur costs of exerting effort. In contrast to previous literature, our model includes qualifications as well as cost in the student's utility function, and educational outputs depend on qualification, ability and resources per capita. Our main focus is on the design of task levels. Our result differs from the literature as regards the optimal number of colleges. A zero fixed cost of establishing new colleges does not necessarily result in perfect tailoring of tasks to students. Furthermore, if the fixed cost is not zero, then the planner has to take fixed costs into account when deciding the number of universities.
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Tucker, Jessica Janice. "Predictors of Admission for Stroke or Transient Ischemic Attack Patients." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7257.

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Approximately 11% of patients diagnosed with a stroke or a transient ischemic attack are readmitted to the hospital, creating a cost burden of nearly $2 billion per year for Medicare beneficiaries. Because researchers and policy makers consider hospital readmission for patients with strokes or transient ischemic attack to be an indicator for the delivery of quality care, the Centers for Medicare and Medicaid Services has imposed financial penalties of up to 3% of a hospital's Medicare reimbursement in 1 year for excessive readmissions, potentially impacting the financial sustainability of various healthcare organizations. The ecological systems theory allows for the understanding of how microsystems, mesosystems, exosystems, macrosystems, and chronosystems impact the development, influence, and predictability characteristics of a specific population serviced in a healthcare setting. This quantitative study analyzed cross-sectional data from the 2016 National Hospital Ambulatory Care Survey, using cross-tabulations with chi-square followed by multiple regression analyses. Overall, this study addressed the gap in the existing literature by examining admission rates for patients with the diagnoses of strokes or TIA and the association between ancillary service use, insurance status, and provider level evaluation. The study concluded that few predictors that exist between the independent and dependent variables, with the exception of the amount of laboratory tests ordered. Maintaining the financial reasonability by avoiding penalties for stroke or transient ischemic attack unnecessary admission from value-based purchasing, the implication for social change is maintaining access to care for patients by avoiding hospital closures.
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Williams, Wayne W. "Borrowing the Price of Admission." Thesis, University of Pennsylvania, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3592899.

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The purpose for this dissertation is to explore how students who have borrowed to attend a large, urban community college develop their value proposition for postsecondary education. Nearly half of all students in the United States begin their postsecondary education at community colleges. In the aftermath of the Great Recession when unemployment rates were unusually high, enrollment at community colleges increased dramatically, especially amongst minority students. This study focuses on three central questions: how do community college students describe their demand for higher education? Secondly, how do these students describe the economic and social benefits of college? And thirdly, to what extent do students understand the costs of college and their sources of financial aid? The study modifies Perna's Multi-Level Conceptual Model of Student Enrollment based upon the findings derived from qualitative interviews with twenty, currently community college students during the 2012 fall semester to determine how community college students define their value proposition. This value proposition was found to be comprised of the student's demand for higher education through academic preparation, availability of financial resources and the student's aspirations. Additionally, the value proposition was comprised of the expected benefits as expressed in monetary and non-monetary expectations as well as cost considerations. These combined enrollment factors were used to determine what criteria formed the basis for the student's borrowing decision and the use of the loan proceeds. The student interviews were analyzed through the lens of the multi-level conceptual framework and an interview with the institution's lending officer was used to interpret the student responses. The choice to attend community college was found to be more circumstantial than deliberate. The increasingly nontraditional students who do enroll in these institutions often have to balance employment and family obligations in pursuit of their aspirations. While these students pursued college with the expectation of higher earnings upon completion, many had an altruistic purpose in serving others. Finally, there exists a significant knowledge gap with regard to financial literacy exists among students which is exacerbated by the complexity of the financial aid process and the limited institutional resources available to support the nontraditional students attending community colleges.

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Moore, Thomas Frank. "Admission Predictors of Student Success on the Physician Assistant National Certifying Exam." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7410.

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In 2009, a local physician assistant (PA) program lost accreditation due to decreased success in licensure pass rates on the Physician Assistant National Certification Examination (PANCE). In response, the program's admissions committee required additional metrics for accepting quality candidates more likely to pass the licensure examination on the first attempt. The purpose of this study was to gain a better understanding of these metrics, specifically the relationship between demographics, prerequisite admission requirements, and PANCE success. The theoretical framework and conceptual model shaping this study was Bordage's illumination and magnify framework and Swail's geometric model of student persistence and achievement. The purpose of this nonexperimental quantiative study was to investigate the relationhip between the demographic variables, preadmission requirements, and their relationship to predict first-time PANCE success. Using archival data, total sampling (N = 107) included all students who took the PANCE from 2012 to 2016. Binary logistic regression results showed that The Graduate Record Examination quantitative reasoning score was statistically significant (p < .01), and a poor predictor of success, secondary to not having a significant effect on the odds of observing PANCE success. The overall results did not provide admission predictors of student success on the first-time attempt to pass PANCE. The study has significance for social change in the area of admissions policy development that supports a nonbiased process for the identification and selection of quality PA candidates.
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Lyrén, Per-Erik. "A perfect score : Validity arguments for college admission tests." Doctoral thesis, Umeå universitet, Beteendevetenskapliga mätningar, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-25433.

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College admission tests are of great importance for admissions systems in general and for candidates in particular. The SweSAT (Högskoleprovet in Swedish) has been used for college admission in Sweden for more than 30 years, and today it is alongside with the upper-secondary school GPA the most widely used instrument for selection of college applicants. Because of the importance that is placed on the SweSAT, it is essential that the scores are reliable and that the interpretations and uses of the scores are valid. The main purpose of this thesis was therefore to examine some assumptions that are of importance for the validity of the interpretation and use of SweSAT scores. The argument-based approach to validation was used as the framework for the evaluation of these assumptions.The thesis consists of four papers and an extensive introduction with summaries of the papers. The first three papers examine assumptions that are relevant for the use of SweSAT scores for admission decisions, while the fourth paper examines an assumption that is relevant for the use of SweSAT scores for providing diagnostic information. The first paper is a review of predictive validity studies that have been performed on the SweSAT. The general conclusion from the review is that the predictive validity of SweSAT scores varies greatly among study programs, and that there are many problematic issues related to the methodology of the predictive validity studies. The second paper focuses on an assumption underlying the current SweSAT equating design, namely that the groups taking different forms of the test have equal abilities. The results show that this assumption is highly problematic, and consequently a more appropriate equating design should be applied when equating SweSAT scores. The third paper examines the effect of textual item revisions on item statistics and preequating outcomes, using data from the SweSAT data sufficiency subtest. The results show that most kinds of revisions have a significant effect on both p-values and point-biserial correlations, and as a consequence the preequating outcomes are affected negatively. The fourth paper examines whether there is added value in reporting subtest scores rather than just the total score to the test-takers. Using a method derived from classical test theory, the results show that all observed subscores are better predictors of the true subscores than is the observed total score, with the exception of the Swedish reading comprehension subtest. That is, the subscores contain information that the test-takers can use for remedial studies and hence there is added value in reporting the subscores. The general conclusion from the thesis as a whole is that the interpretations and use of SweSAT scores are based on several questionable assumptions, but also that the interpretations and uses are supported by a great deal of validity evidence.
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Stratton-Zimmer, Marilyn Lauren. "Waiting in vain for college admission, experience and effects." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22101.pdf.

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Lyrén, Per-Erik. "A perfect score validity arguments for college admission tests /." Umeå : Institutionen för beteendevetenskapliga mätningar, Umeå universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-25433.

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Books on the topic "Predictors for college admission"

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The college entrance predictor. Lexington, Mass: S. Green Press, 1988.

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Clumeck, Muchnick Cynthia, ed. Best college admission essays. 3rd ed. Lawrenceville, NJ: Thomson Peterson's, 2004.

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Clumeck, Muchnick Cynthia, ed. The best college admission essays. 2nd ed. Lawrenceville, NJ: Thomson/Peterson's, 2002.

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Stewart, Mark A. Peterson's best college admission essays. 3rd ed. Lawrenceville, NJ: Thomson Peterson's, 2004.

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Morris, Bramson, ed. MCAT, medical college admission test. 3rd ed. New York: Arco, 1988.

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Comras, Jay. Improving college admission test scores. Reston, Va: National Association of Secondary School Principals, 1988.

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Clumeck, Muchnick Cynthia, ed. The best college admission essays. New York: Macmillan USA, 1997.

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Stewart, Mark A. Peterson's best college admission essays. 3rd ed. Lawrenceville, NJ: Thomson Peterson's, 2004.

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Woods, Geraldine. College admission essays for dummies. New York: Wiley Pub., 2003.

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Tarlow, David M. VCAT: Veterinary college admission test. St. Louis, Mo: Educational Testing Consultants, 2002.

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Book chapters on the topic "Predictors for college admission"

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Wu, Zhao-tong, Li-ping Fu, and Rui-xue Zhao. "College Admission Mode of Multiple Choices Based on Internet." In The 19th International Conference on Industrial Engineering and Engineering Management, 1281–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38427-1_135.

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Han, Zhu, Yunan Gu, and Walid Saad. "College Admission Game with Transfers for UL Small Cell Communication." In Matching Theory for Wireless Networks, 91–111. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56252-0_8.

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Zhang, Qi, Haseeb Kazi, and Sat Gupta. "Modeling Risky Sexual Behavior Among College Students: Predictors of STD." In Collaborative Mathematics and Statistics Research, 75–79. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11125-4_8.

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Kim, Young Chun, and Jung-Hoon Jung. "Use of Shadow Education for Success at School and College Admission." In Shadow Education as Worldwide Curriculum Studies, 89–104. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03982-0_4.

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Devarapalli, Danny Joel. "Classification Method to Predict Chances of Students’ Admission in a Particular College." In Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, 225–38. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7234-0_19.

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Wang, Tiezhi. "Preferential Policies for Minority College Admission in China: Recent Developments, Necessity, and Impact." In Affirmative Action in China and the U.S., 71–82. New York: Palgrave Macmillan US, 2009. http://dx.doi.org/10.1057/9780230100923_4.

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Rueda, Robert, Hyo Jin Lim, Harold F. O’Neil, Noelle Griffin, Shel Bockman, and Barbara Sirotnik. "Ethnic Differences on Students’ Approaches to Learning: Self-Regulatory Cognitive and Motivational Predictors of Academic Achievement for Latino/a and White College Students." In New Science of Learning, 133–61. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5716-0_7.

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"The Admission Game:." In Investing in College, 194–228. Harvard University Press, 2009. http://dx.doi.org/10.2307/j.ctvjz81n9.11.

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"5 A Guide Socializing Future College Athletes." In Special Admission, 124–46. Rutgers University Press, 2021. http://dx.doi.org/10.36019/9781978821248-007.

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"Appendix C High School Sports Relative to College Sports." In Special Admission, 203–4. Rutgers University Press, 2021. http://dx.doi.org/10.36019/9781978821248-012.

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Conference papers on the topic "Predictors for college admission"

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Mete, Ipek, and Yonca Toker. "Relative importance of college success predictors: fluid intelligence, crystallized intelligence, and grit." In Third International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5568.

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This study aimed to compare the predictive power of grit and two cognitive ability tests of fluid and crystallized intelligence used for university admission on the success of college students in Turkey. Utilizing Cattell’s Investment Theory and Ackerman’s PPIK Theory of Adult Intelligence, we hypothesized that knowledge tests would be a better predictor of academic achievement in college than tests of fluid intelligence. We collected data from 441 students enrolled in engineering, physical sciences, social sciences, and administrative sciences majors in a technical university. Our results based on hierarchical regression and dominance analyses provided support for our hypothesis. For science, technology, engineering and math (STEM) students, the test of crystallized intelligence not only was a better predictor of college GPA compared to the test of fluid intelligence but also explained incremental variance over and above the fluid intelligence test. For social-administrative sciences, the predictive powers of tests were equivalent to each other. We also found that the perseverance of effort dimension of grit was the best predictor of GPA. Our findings support the notions of the adult intelligence theories suggesting that domain knowledge is a better predictor of typical performance in adults.
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Luben, RN, SA Hayat, NJ Wareham, PD Pharoah, and KT Khaw. "RF30 Residential area deprivation predicts subsequent hospital admission in a british population independently of social class and education status: the EPIC-norfolk cohort." In Society for Social Medicine and Population Health and International Epidemiology Association European Congress Annual Scientific Meeting 2019, Hosted by the Society for Social Medicine & Population Health and International Epidemiology Association (IEA), School of Public Health, University College Cork, Cork, Ireland, 4–6 September 2019. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/jech-2019-ssmabstracts.145.

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Krupa, S. M., and N. E. Kunanets. "Advisory System «Admission» for College Graduate." In 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). IEEE, 2018. http://dx.doi.org/10.1109/stc-csit.2018.8526644.

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Fleiner, Rita, Andras Ferkai, and Peter Biro. "College admission problem for university dual education." In 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2019. http://dx.doi.org/10.1109/sami.2019.8782783.

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Ragab, Abdul Hamid M., Abdul Fatah S. Mashat, and Ahmed M. Khedra. "HRSPCA: Hybrid recommender system for predicting college admission." In 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2012. http://dx.doi.org/10.1109/isda.2012.6416521.

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Austin, Henry S. "Predictors of Pascal programming achievement for community college students." In the eighteenth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/31820.31752.

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Yoo, Eun Young, Seung A. Lee, and Sung Hee Lee. "Predictors of Courtship Stalking Behaviors in Male College Students." In Healthcare and Nursing 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.132.33.

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Sotello Aviles, D., S. Yang, and K. M. Nugent. "Admission Glucose and Lactate Levels as Predictors of In-Hospital Mortality." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a3434.

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Hao, Zhi-hong. "Predictors of College Students' Attitudes toward Seeking Professional Psychological Help." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5516408.

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Zihao, Shen, and Wang Hui. "Research on College Party's Admission Management System Based on Workflow." In 2010 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icece.2010.1477.

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Reports on the topic "Predictors for college admission"

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Jia, Ruixue, and Hongbin Li. Just Above the Exam Cutoff Score: Elite College Admission and Wages in China. Cambridge, MA: National Bureau of Economic Research, February 2021. http://dx.doi.org/10.3386/w28450.

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Clotfelter, Charles, Steven Hemelt, and Helen Ladd. Raising the Bar for College Admission: North Carolina’s Increase in Minimum Math Course Requirements. Cambridge, MA: National Bureau of Economic Research, January 2016. http://dx.doi.org/10.3386/w21926.

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Hastings, Justine, Christopher Neilson, and Seth Zimmerman. Are Some Degrees Worth More than Others? Evidence from college admission cutoffs in Chile. Cambridge, MA: National Bureau of Economic Research, July 2013. http://dx.doi.org/10.3386/w19241.

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Salazar, Amy. Investigating the Predictors of Postsecondary Education Success and Post-College Life Circumstances of Foster Care Alumni. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.265.

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Monks, James, and Ronald Ehrenberg. The Impact of US News and World Report College Rankings on Admission Outcomes and Pricing Decisions at Selective Private Institutions. Cambridge, MA: National Bureau of Economic Research, July 1999. http://dx.doi.org/10.3386/w7227.

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Fletcher, Jason, and Adalbert Mayer. Tracing the Effects of Guaranteed Admission through the College Process: Evidence from a Policy Discontinuity in the Texas 10% Plan. Cambridge, MA: National Bureau of Economic Research, January 2013. http://dx.doi.org/10.3386/w18721.

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Chen, Sunny, Emily Schwartz, Cindy Le, and Elizabeth Davidson Pisacreta. Right in Your Backyard: Expanding Local Community College Transfer Pathways to High-Graduation-Rate Institutions. Ithaka S+R, July 2021. http://dx.doi.org/10.18665/sr.315695.

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Each year, our country’s most selective four-year institutions invest significant resources to recruit talented high school students from across the country. Before the COVID-19 pandemic, admissions representatives traveled far and wide to convince these prospective students that the academic rigor, amenities, and opportunities at their institution are unparalleled. These students, mostly affluent and white, contemplate admission offers and consider moves to new locales to pursue their postsecondary plans. Yet, many of these selective institutions are overlooking a talented and diverse pool of students in their own backyard: transfer students from local community colleges.
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Which young people are at greatest risk of repeat admission to psychiatric care? ACAMH, June 2020. http://dx.doi.org/10.13056/acamh.12155.

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