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Eickhoff, 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)
Herrera, 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
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
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
Mislevy, Robert J. – 1987
Standard procedures for estimating item parameters in Item Response Theory models make no use of auxiliary information about test items, such as their format or content, or the skills they require for solution. This paper describes a framework for exploiting this information, thereby enhancing the precision and stability of item parameter…
Descriptors: Bayesian Statistics, Difficulty Level, Estimation (Mathematics), Intermediate Grades

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