Admission Variables as a Predictor of First Semester Student Success


Book Description

The current national shortage of practicing registered nurses is exacerbated by an accompanying shortage of nurse educators, which limits program enrollments in Associate Degree Nursing (ADN) programs. Relatively low available enrollment in nursing programs is coupled with a national first year retention rate of 64% (National League for Nursing Accrediting Commission [NLNAC], 2008), which leaves ADN educational leaders struggling to find improved ways to increase graduation rates through better identification of qualified applicants. This exploratory, action research study examined commonly used ADN admission criteria in order to identify those indicators which best predict students' first semester success at a small private northeastern United States college. The predictive ability of common ADN admission variables (TEAS scores in the areas of math, science, and English; overall TEAS score; age; gender; and math, science, and English course grades) was determined with regard to student success outcome variables (medication/math exam grade, Nurse Fundamental course grade, Nurse Health Assessment course grade, and Assessment Technology Institute [ATI] Nursing I Fundamental Content Mastery Series scores). Using an exploratory, action research design, data from 120 freshman nursing students were examined to assess the relative contributions of each of the predictor variables on forecasting students' first semester success. The study's methodology involved a simple correlation and regression analysis of the data. Selected Admission's variables were shown to be correlated to certain outcome variables. These Admission's variables included, the TEAS overall score, the last science course grade on admission (ACGs), the TEAS score in English, and the student's last earned English course on admission (ACGe). Only the TEAS total score showed correlation with success over a broad range of success score, i.e. ATIs, FUNg, and HAg. Overall, it was concluded that the ability of the admission variables to predict a specific score on student outcome assessment was weak. As a result of this study, the college's Admission office and nursing department will use the information to modify Admission's policies, develop pre-admission workshops, and continue to implement program initiatives to further support student success in an ADN nursing program. Further studies are warranted in order to assist other colleges in determining the level of academic qualifications most desirable in selecting students capable of success in their ADN nursing program.










CBD Oil for Alzheimer's


Book Description

INTRODUCTIONCBD (Cannabidiol) is a compound found in the Cannabis plant. It can be used in several different ways including vaping, tinctures, capsules, and edibles.Unlike its close relative, THC (Tetrahydrocannabinol), CBD is completely non-psychoactive. This allows us to benefit from the many health properties of the Cannabis plant without the negative side effects of "getting high."Because of this, CBD became a very popular option for those seeking a natural alternative to treat conditions such as chronic pain, multiple sclerosis, PTSD, epilepsy and other mental disorders.At first, many were skeptical, thinking that a natural compound, let alone a Cannabis-compound, could effectively treat such a wide range of conditions. But as medical researchers learned more, and the stories from tens of thousands of people began to stack up, the truth was undeniable. CBD works.For starters, CBD inherits many of the medicinal properties of Cannabis such as being anti-inflammatory and anti-anxiolytic. This allows it to provide natural stress, anxiety and pain relief.But this alone is not what allows CBD to benefit so many conditions.What allows it to effectively treat so many conditions, and maintain health and wellness in the body, is how the cannabinoids found in CBD interact with receptors throughout our body.In 1988, the first cannabinoid receptor was discovered in the brain of a rat. Researchers found that these receptors reacted specifically to THC, and were found primarily found in regions of the brain responsible for mental and physiological processes such as memory, high cognition, emotion, and motor coordination.Two years later, in 1993, the second cannabinoid receptor was found as part of the immune and central nervous systems. It was then that researchers started to realize that they may have been onto something, but these receptors were only found in rodents, so what is the big deal right?Fast forward to 1995, researchers discovered that these receptors, now officially referred to as the CB1 receptor and CB2 receptor were found not only in rats, but within thousands of other species, including humans.Thanks to advancements in technology and knowledge and tons of clinical trials, researchers were able to reverse engineer what they discovered, trace back through the metabolic pathways of various cannabinoids, and uncover an entirely unknown signaling system between the CB1 and CB2 receptors in our bodies and receptors found in Cannabis compounds, which they called "endocannabinoids."Due to the role of endocannabinoids in this system, the system was officially named the Endocannabinoid System (ECS).As researchers learned more about the ECS, they discovered that it was a vital component in maintaining the body's homeostasis, which is the ideal balance between interdependent elements in the body.To give you an idea on how the ECS helps maintain homeostasis, Let me give you an example. When we become stressed, our mind releases cortisol, which is the compound responsible for how we feel when we are stressed. Cortisol can be helpful when we need to react quickly to a dangerous situation; however too much disrupts the natural balance of our body and mind can result in serious health problems.When certain endocannabinoids are introduced into the body, it not only helps provide stress relief, it helps manage our perception of stress so that we can look at the situation with a clear mind, and make the best decision.With all the scientific jargon, this last section may have been a little confusing. So just to clarify... Scientists discovered that there are systems in our bodies that are solelydependenton their interaction with cannabinoids, and these systems are part of vital functions in our bodies.Basically, our bodies were designed to work with cannabinoids, and they can even be considered as essential to our overall health and wellness.




Using Noncognitive Assessment to Predict Academic Success for At-risk Students


Book Description

The purpose of this study was to determine if noncognitive variables, alone or in combination with standardized test score (ACT or SAT) and/or high school grade point average, can predict student success (first-semester grade point average, first to second year retention and five year graduation rate) for 154 academically at-risk college freshmen admitted into the Conditional Admissions Program (CAP) at the University of Central Missouri for the Fall 2007 semester. In this investigation, student success was defined as a first semester GPA of 2.0 or higher, retaining to the second year and graduating within a five year time frame. Through the six- question short answer-style Insight Resume, noncognitive attributes were evaluated based on each student's life experiences and what they learned from those experiences. Correlations were calculated measuring the relationship between the Insight Resume and the dependent variables. Findings revealed there were only slight correlations between Insight Resume score and earning a first semester GPA of 2.0 or greater, retaining from the first to the second year, and graduating in five years. In addition, logistic regression was used to measure the predictive value of the combination of the Insight Resume scores, HSGPA and composite ACT scores on predicting first semester GPA of 2.0 or higher, retention from year one to year two, or five year graduation rate. Results indicated that there was no indication any of the predictor variables significantly improved the ability to predict earning a first semester GPA of 2.0 or higher or whether a student would retain or graduate.













Making the Grade


Book Description

The purpose of this study was three-fold. The first purpose was to examine if there was a difference in the academic success of 239 first-year student-athletes between the type of institution they attended, public or private. These student-athletes represented 12 intercollegiate varsity sports at two NCAA Division I institutions in the Midwest during the 2007-2009 academic years, and the study used the five pre-college predictor variables of NCAA GPA, standardized test scores, gender, race, and institution type. The second purpose was to determine which of these predictor variables were statistically significant in predicting academic success of student-athletes by sport. The third purpose was to predict how well these predictor variables could distinguish between student-athletes attending the public institution and student-athletes attending the private institution. The study found that student-athletes at the private institution entered the institution with a better overall academic profile than did the student-athletes at the public institution as related to the predictor variables of high school GPA, NCAA GPA, ACT scores, SAT scores, and first-year college cumulative GPA. The statistically significant relationships between the predictors variables correlated between r = .94 and r = .17. Several stepwise multiple regression analyses were conducted to predict first-year academic success. The study concluded that, when ACT and SAT scores are included, separately, in the model with the predictor variables, then NCAA GPA, ACT scores, gender, and race are statistically significant predictors for student-athletes attending the public institution, while NCAA GPA and ACT scores are statistically significant predictors for student-athletes attending the private institution. NCAA GPA, SAT scores, and gender are statistically significant predictors for student-athletes attending the public institution, and NCAA GPA and SAT scores are statistically significant predictors for student-athletes attending the private institution. Together, these findings suggest that Non-White female student-athletes are predicted to have a higher first-year cumulative GPA than any other student-athlete at the public institution when ACT scores are added to the model, and female student-athletes are predicted to have a higher first-year cumulative GPA than any other student-athlete when SAT scores are added to the model. A stepwise discriminant analysis was conducted to predict how well the predictor variables distinguish between the public and private institutions. Based on the findings, NCAA GPA, standardized test scores, and race are the statistically significant variables in the model. Overall, 66.9% of the student-athletes in the study were classified correctly into public and private institution. The student-athletes attending the public institution were classified with slightly better accuracy (67.9%) than the student-athletes attending the private institution (66.2%).