共查询到20条相似文献，搜索用时 31 毫秒
1.
Previous research has shown that first-generation students confront greater problems than traditional students. In order to determine if this disadvantage extends to first-year grade-point averages (GPAs) in a commuter university in which the majority are first-generation students, 1,849 students at York University in Toronto were surveyed at the end of the first year and survey results were merged with information on grades from administrative records. The results of stepwise regression and classification and regression tree analyses show that traditional students enjoy a slight advantage in terms of GPA, and that while traditional students have higher levels of involvement than first-generation students, for both student groups involvement in various university activities contributes to GPA. 相似文献
2.
Bernard H. Stern 《College Teaching》2013,61(2):60-62
This study examines factors affecting students’ performances in an Introductory Sociology course over five semesters. Employing simple and ordered logit regression models, the author explains final grades by focusing on individual demographic and educational characteristics that students bring into the classroom. The results show that a student's overall grade point average (GPA) and the number of class days missed are significant predictors of performance in the Introductory Sociology course. Findings also identify minority status and grade level as contributory factors in explaining differences in superior performance in the course. Given that the results of this study offer evidence for commonly held assumptions about the positive association between regular class attendance and good grades, it is recommended that students be encouraged to attend more class sessions. The study also confirms that students who do well in an Introductory Sociology course generally do well in other subjects, as validated by their concurrent GPA. 相似文献
3.
Jason Millman Simeon P. Slovacek Edward Kulick Karen J. Mitchell 《Research in higher education》1983,19(4):423-429
Two studies were conducted to examine the effect of grade inflation on the piling up of grades in fewer grade categories and on the reliability of grade point averages (GPAs). In all comparisons, grades were more bunched after grade inflation, which in turn, was associated with only slight, nonsignificant decreases in GPA reliability. As expected, grades were more bunched when the traditional 5-point letter scale was used than when plus and minus grades were also allowed. In the latter case as well, grade inflation seemed to have had very little effect on the reliability of GPAs. GPA reliability began to suffer, however, for graduate programs in which almost all grades were placed into just two categories, A and B. 相似文献
4.
Maria Pampaka Graeme Hutcheson Julian Williams 《International Journal of Research & Method in Education》2016,39(1):19-37
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their implications for educational research. We illustrate the issues with an educational, longitudinal survey in which missing data was significant, but for which we were able to collect much of these missing data through subsequent data collection. We thus compare methods, that is, step-wise regression (basically ignoring the missing data) and MI models, with the model from the actual enhanced sample. The value of MI is discussed and the risks involved in ignoring missing data are considered. Implications for research practice are discussed. 相似文献
5.
Gender Bias in Predicting College Academic Performance: A New Approach Using Item Response Theory 总被引：2，自引：0，他引：2
John W. Young 《Journal of Educational Measurement》1991,28(1):37-47
The possibility of differential prediction of college academic performance for men and women is, at present, an issue of concern both to measurement specialists and to the general public. In prior studies, the use of a single equation to predict grade point average (GPA) from preadmissions measures has generally led to the systematic underprediction of women's college grades. In the following study, Item Response Theory (IRT) was used to develop a form of adjusted cumulative GPA, called the IRT-based GPA. Significant underprediction for women occurred using a version of the cumulative GPA as the outcome measure. In contrast, the use of the IRT-based GPA indicated no significant underprediction for men or women. A single regression equation worked best in predicting both men's and women's IRT-based GPA. In addition, the IRT-based GPA was substantially more predictable from preadmissions measures than the cumulative GPA. 相似文献
6.
Catherine W. Shoulders Donald M. Johnson Corliss A. O'Bryan Philip G. Crandall 《Journal of Food Science Education》2018,17(3):94-98
The 1st step in successfully intervening with students who may fail a course is to identify them as early as possible in the semester. The objective of this study was to create a model to predict student performance in FDSC 4304, the required capstone Food Chemistry class, using academic performance in prerequisite courses as potential predictors. We analyzed data for 116 undergraduates who completed Food Chemistry (FDSC 4304) between 2008 and 2015. Data included semester of enrollment and grade earned in FDSC 4304; transfer status; grades in prerequisite classes in science, math, and statistics courses and an introductory Food Science course, FDSC 1103; and the students’ university GPA at the time of enrollment in FDSC 4304. Cumulative GPA had the strongest significant (P < 0.001) positive correlation with FDSC 4304 grade (r = 0.64), followed by grade in statistics GPA (r = 0.52), FDSC 1103 grade (r = 0.45), pre‐requisite chemistry GPA (r = 0.44), and biology GPA (r = 0.42). When using partial correlations to control for cumulative GPA, only grades in FDSC 1103 (completed by 62.9% of students) were significantly correlated with grades in FDSC 4304. Linear regression indicated cumulative GPA and FDSC 1103 grades explained 35.5% of the variance in FDSC 4304 grades. When cumulative GPA (available for 91.6% of students) alone was regressed on FDSC 4304, it explained 40.6% of the variance for the larger group. Lower cumulative GPAs and FDSC 1103 grades are suggestive but not determinative of potential student struggles in FDSC 4304. Instructors should use cumulative GPAs and introductory food science course grades (either alone or in combination) with actual early course performance measures to identify students in need of additional help. 相似文献
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HAMZEH M. DODEEN 《Assessment & Evaluation in Higher Education》2003,28(5):505-513
This study investigates the use of the valid mean substitution (VMS) procedure in replacing missing data in attitude assessment. Using four scales from an actual field data set, the effectiveness of VMS was compared with the multiple regression replacement procedure. The study was designed such that data were missing completely at random under two research conditions: percentage of missing items in each scale (10, 30 and 50%); percentage of missing values in each item (10, 30 and 50%). The results indicated that both procedures are similarly effective in estimating the means and standard deviations of the scales. However, VMS is superior in estimating parameters. 相似文献
9.
Sandip Sinharay 《Educational Measurement》2021,40(1):79-91
Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data from three educational tests is used to compare the performances of six approaches for imputation of missing scores. One of the approaches, based on data mining, is the first application of its kind to the problem of imputation of missing data. The approach based on data mining and a multiple imputation approach based on chained equations led to the most accurate imputation of missing scores, and hence to most accurate score reporting. A simple approach based on linear regression performed the next best overall. Several recommendations are made regarding the reporting of scores to examinees with incomplete data. 相似文献
10.
Data from the National Survey of Student Engagement (NSSE) collected across seven years were used to predict final, cumulative grade point averages (GPA). Cross‐product regression was used to explore the predictive abilities of the NSSE benchmark scores for freshmen (n = 2578) and seniors (n = 2293) collected in cross‐sectional cohorts. Hierarchical regression was also used with 127 longitudinal responses in students’ first and senior years of college. In the cross‐sectional analyses, Level of Academic Challenge emerged as a significant predictor of GPA for freshmen, whereas the Active and Collaborative Learning benchmark was a significant predictor for seniors; both effects were modest. The cross‐sectional data explained 22.6% of the variance with 18.2% of this variance accounted for by pre‐college control factors (American College Test score and high school GPA). For the analysis of longitudinal data, 31.3% of the variance was explained and 27.8% was attributed to the pre‐college indicators. No benchmark scores were significant predictors of GPA in the longitudinal data. Results suggest that cross‐sectional analyses can adequately detect modest effects on final GPA. In contrast, longitudinal models explain more variance, though they lack the power to reveal modest effects. This study suggests approaches for the responsible use of cross‐sectional and longitudinal data in educational research. 相似文献
11.
Kenneth M. Wilson 《Research in higher education》1981,15(4):351-375
This is a comparative longitudinal analysis of the performance of minority and nonminority students in four successive entering classes at a highly selective college. Graduation rates were comparable, but the two groups were found to be as sharply differentiated with respect to cumulative grade point average (GPA) at the end of 4 years as they were at the end of the first year. Unanticipated across-class increases in mean GPA relative to ability, greater for minority than for nonminority students, were found and their implications considered. The validity of admissions tests with respect to long-term cumulative GPA was comparable to that obtained when first-year GPA was used. Questions are raised regarding the possible effect on minority students of persistent minority-nonminority differences in academic performance, especially in settings in which the two groups are sharply differentiated on academic ability measures. Findings of a similarly designed study in a less selective setting are also considered. 相似文献
12.
Adjusting the Cumulative GPA Using Item Response Theory 总被引：1，自引：0，他引：1
John W. Young 《Journal of Educational Measurement》1990,27(2):175-186
In college admissions, the predictive validity of preadmissions measures such as standardized test scores and high school grades is of wide interest. These measures are most often validated against the criterion of the first-year grade point average (GPA). However, neither the first-year GPA nor the four-year cumulative GPA is an adequate indicator of academic performance through four years of college. In this study, Item Response Theory (IRT) is used to develop a more reliable measure of performance, called an IRT-based GPA, which is used to estimate the validity of traditional preadmissions information. The data are preadmissions information and course grades for the Class of 1986 at Stanford University (N = 1564). Principal factor analysis is used as a precursor to determine the dimensionality of the course data and to partition courses into approximately unidimensional subsets, each of which is scaled independently. Results show a substantial increase in predictability when the IRT-based GPA is used instead of the usual GPA. 相似文献
13.
Bruce Jost Carolyn Rude-Parkins Rod P. Githens 《Community College Journal of Research & Practice》2013,37(9):656-669
This study investigated the effects the demographic variables age, gender, and ethnicity and their interactions had on academic performance in online courses delivered by public two-year colleges in Kentucky. The study controlled for previous academic performance measured by cumulative grade point average (GPA). The study used a random sample (N = 320) of all students who had enrolled in at least one online course delivered by the institutions of the Kentucky Community and Technical College System in the spring 2008 semester. A linear hierarchical multiple regression acting as ANCOVA served as the main analysis, with the order entry as follows: cumulative GPA; independent variables (age, gender, ethnicity); interaction vectors; and product vectors. Final course grade served as the dependent variable. The results of the analysis indicated that only cumulative GPA was a significant predictor, explaining approximately 40% of the variance of the final grade. Although differences in final grades were present among the variables age and ethnicity, these differences disappeared when controlling for cumulative GPA. Significance of the results and recommendations for future research are discussed. 相似文献
14.
施红星 《湖州师范学院学报》2012,34(1):1-5
考虑响应变量随机缺失下线性模型响应变量均值的估计问题,分别获得了基于完全观测样本数据、线性回归插补后的"完全样本"和逆概率加权插补后的"完全样本"得到的响应变量均值估计,并证明了其渐近正态性. 相似文献
15.
Holmes Finch 《教育实用测度》2013,26(4):281-301
Methods of uniform differential item functioning (DIF) detection have been extensively studied in the complete data case. However, less work has been done examining the performance of these methods when missing item responses are present. Research that has been done in this regard appears to indicate that treating missing item responses as incorrect can lead to inflated Type I error rates (false detection of DIF). The current study builds on this prior research by investigating the utility of multiple imputation methods for missing item responses, in conjunction with standard DIF detection techniques. Results of the study support the use of multiple imputation for dealing with missing item responses. The article concludes with a discussion of these results for multiple imputation in conjunction with other research findings supporting its use in the context of item parameter estimation with missing data. 相似文献
16.
Vertical transfer has been an increasingly prominent pathway to baccalaureate studies. However, few studies have investigated factors that predict academic performance and degree attainment of vertical transfer students in an Asian educational context. This study gathered data from the institutional dataset of 4133 records of vertical transfer students admitted between 2014 and 2017 in Hong Kong. Logistic regression analyses yielded that being female, first-semester GPA, number of courses per normal semester, and number of courses per summer semester were significant predictors of baccalaureate degree attainment. Linear regression analyses showed that gender (being female), pre-transfer GPA, post-transfer GPA difference, articulating within the same institution, proportion of credits for non- specialized courses, and number of courses per summer semester were associated positively with final GPA of those attaining a degree, while the presence of transfer shock and the number of credits required per year of study were negative predictors. Discussion and implications are presented. 相似文献
17.
Recent changes to federal guidelines for the collection of data on race and ethnicity allow respondents to select multiple race categories. Redefining race subgroups in this manner poses problems for research spanning both sets of definitions. NAEP long-term trends have used the single-race subgroup definitions for over thirty years. Little is known about the effects of redefining race subgroups on these trends. Bridging methods for reconciling the single and multiple race definitions have been developed. These methods treat single-race subgroup membership as unknown or missing. A simulation study was conducted to determine the effectiveness of four bridging methods: multiple imputation logistic regression, multiple imputation probabilistic whole assignment, deterministic whole assignment—smallest group, and deterministic whole assignment—largest group. Only the first of these methods incorporates covariate information about examinees into the bridging procedure. The other three methods only use information contained in the race item response. The simulation took into account the percentage of biracial examinees and the missing data mechanism. Results indicated that the multiple imputation logistic regression was often the best performing method. Given that all K-12 and higher education institutions will be required to use the multiple-race definitions by 2009, implications for No Child Left Behind and other federally mandated reporting are discussed. 相似文献
18.
The study examined the predictive value of adolescents’ personality trait ratings by different groups of informants in explaining academic achievement [grade point average (GPA)] while controlling for students’ sex and their mothers’ education. The Inventory of Child/Adolescent Individual Differences was employed as a measure of students’ personality traits at the end of elementary schooling (mean age = 14.7 years) and two years later when the participants attended secondary schools. The trait ratings were obtained through self‐, maternal and peer reports at both measurement occasions. They explained substantial portions of unique variance in the students’ GPA concurrently, and over time. Ratings by each of the three groups of informants had an incremental validity over one another in predicting school grades. Among personality variables, conscientiousness and low extraversion were consistently predictive of GPA. 相似文献
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Patrick J. Herling B. Tanya Mohseni Derek C. Hill Stacy Chelf Jeffrey A. Rickert Jonathan T. Leo Natalie R. Langley 《Anatomical sciences education》2017,10(3):215-223
Lincoln Memorial University‐DeBusk College of Osteopathic Medicine (LMU‐DCOM) offers an optional three‐week summer Anatomy Boot Camp course (ABC) to facilitate students' transition into medical school and promote retention of anatomy subject matter. The pre‐matriculation program is a supplemental instruction course that utilizes a small group learning format. Boot camp instruction is led by teaching assistants and two anatomy professors. Enrollees gain early exposure to Medical Gross Anatomy (MGA) course subject matter, which is taught in the fall semester, and learn study skills necessary to excel in medical school. No grade is assigned for the course, therefore participants can study without the fear of potentially affecting grades. This study evaluates the effectiveness of the LMU‐DCOM ABC course using data from four consecutive summers. Independent two‐sample t‐tests were used to compare ABC to non‐ABC students for the following variables: incoming grade point average (GPA) and Medical College Admission Test® (MCAT®) scores, MGA written and laboratory practical examination grades, and final MGA course grade. Additionally, a 26‐question survey was administered to 2012–2014 boot camp participants. There were no significant differences in incoming GPA and MCAT scores. However, boot campers scored significantly higher on the first two lecture and laboratory examinations (P < 0.05) for each year of the study. Thereafter scores varied less, suggesting a faster head start for boot camp participants. Mean MGA final grade was on average 3% higher for the boot camp cohort. The survey feedback supports that the ABC course assists with the academic and social transition into medical school. Anat Sci Educ 10: 215–223. © 2016 American Association of Anatomists. 相似文献