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Direct linkEickhoff, Mary Ann – ProQuest LLC, 2016
There is currently a nursing shortage in the United States. By 2022, the Bureau of Labor Statistics (BLS) expects, the number of job openings for Practical Nurses (PN) will be 168,500, an increase of 25% over 2012 (BLS, 2014). Nursing education does not currently meet present, much less future needs. Nursing programs have limited space; according…
Descriptors: Nursing Students, Predictor Variables, Success, Licensing Examinations (Professions)
Download full textHerrera, Cheryl; Blair, Jennifer – Research in Higher Education Journal, 2015
As the U.S. population ages and policy changes emerge, such as the Patient Protection and Affordable Care Act of 2010, the U.S. will experience a significant shortage of Registered Nurses (RNs). Many colleges and universities are attempting to increase the size of nursing cohorts to respond to this imminent shortage. Notwithstanding a 2.6%…
Descriptors: Prediction, Success, Nursing Education, Nursing Students
Ahlgren Reddy, Alison; Harper, Marc – PRIMUS, 2013
Data from the ALEKS-based placement program at the University of Illinois is presented visually in several ways. The placement exam (an ALEKS assessment) contains precise item-specific information and the data show many interesting properties of the student populations of the placement courses, which include Precalculus, Calculus, and Business…
Descriptors: Mathematics Education, College Mathematics, Student Placement, Scores
Camilleri, Liberato; Cefai, Carmel – World Journal of Education, 2013
Multiple linear regression and ANOVA models are widely used in applications since they provide effective statistical tools for assessing the relationship between a continuous dependent variable and several predictors. However these models rely heavily on linearity and normality assumptions and they do not accommodate categorical dependent…
Descriptors: Regression (Statistics), Models, Predictor Variables, Predictive Measurement
Peer reviewedGross, Alan L. – Psychometrika, 1990
A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)
Descriptors: Equations (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Predictive Measurement
Getting More Information from School District Surveys with Goodman's "Modified Regression Approach."
Adwere-Boamah, Joseph – 1980
The development of new statistical methods of log-linear models by Leo Goodman has led to major advances in the statistical analysis of categorical data. Goodman's logit analysis, (the simplest form of log-linear models) can be applied in evaluation studies to estimate the "main effects" and "interaction effects" of categorical…
Descriptors: Attitude Measures, Elementary Secondary Education, Evaluation Methods, Mathematical Models
Peer reviewedWeng, Li-Jen; And Others – Educational Research Quarterly, 1988
Impacts of the parents' divorce and the student's academic potential and drug use on non-completion of high school were examined using 3 methods of structural equation modeling with latent variables. Data were collected from 706 adolescents (in grades 10 through 12). Maximum likelihood, asymptotically distribution-free, and categorical variable…
Descriptors: Academic Ability, Academic Failure, Adolescents, Comparative Analysis
