The Development of Academic Success Prediction Equations for Use in the Selection and Advisement of Student Nurses in an Associate Degree Nursing Program PDF Download
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Author: Lloyd Robert Pierson
Publisher:
ISBN:
Category : Nurses
Languages : en
Pages : 222
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Book Description
Author: Lloyd Robert Pierson
Publisher:
ISBN:
Category : Nurses
Languages : en
Pages : 222
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Book Description
Author: Patricia T. Haase
Publisher: Duke University Press
ISBN: 9780822309833
Category : Reference
Languages : en
Pages : 344
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Book Description
This volume offers a comprehensive listing, from the development of the Associate Degree Nursing (ADN) program in 1948 to the present, of all literature related to the ADN program. Any item related to the degree programs and their contributions, the AD nurses, their relation to nurses trained in other programs, and their role in the health care system is included. Published and unpublished items as well as dissertations, research reports and monographs, state and federal government documents, materials issued by state and national nursing groups, journal articles, and books are listed.
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 640
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 728
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 780
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Author: Michael G. Baker
Publisher:
ISBN:
Category : Educational tests and measurements
Languages : en
Pages : 62
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Author: Kenneth William Elterich
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 240
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Book Description
Author: Barbara Schneider
Publisher: Springer
ISBN: 3319766945
Category : Social Science
Languages : en
Pages : 614
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Book Description
This handbook unifies access and opportunity, two key concepts of sociology of education, throughout its 25 chapters. It explores today’s populations rarely noticed, such as undocumented students, first generation college students, and LGBTQs; and emphasizing the intersectionality of gender, race, ethnicity and social class. Sociologists often center their work on the sources and consequences of inequality. This handbook, while reviewing many of these explanations, takes a different approach, concentrating instead on what needs to be accomplished to reduce inequality. A special section is devoted to new methodological work for studying social systems, including network analyses and school and teacher effects. Additionally, the book explores the changing landscape of higher education institutions, their respective populations, and how labor market opportunities are enhanced or impeded by differing postsecondary education pathways. Written by leading sociologists and rising stars in the field, each of the chapters is embedded in theory, but contemporary and futuristic in its implications. This Handbook serves as a blueprint for identifying new work for sociologists of education and other scholars and policymakers trying to understand many of the problems of inequality in education and what is needed to address them.
Author: Sui Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 178
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Book Description
Abstract: There have been voluminous studies upon the potential predictive power of students' non-cognitive attributes such as self-confidence, motivation and student's interaction with institutions on their collegiate performance. While much effort have been put towards identifying the utilities of these attributes, little endeavors have been made to design a concise yet precise composite measure of all the collegiate performance-related non-cognitive attributes. Such measure could be beneficial not just to the future research studies about non-cognitive correlates of students' academic performance in college; it could also be more than informative to the admission officials in higher institutions. The initial intent of this study was to develop an instrument to measure relevant non-cognitive drivers of students' academic performance in college. A Meta analysis was conducted to guide the selection of non-cognitive constructs to include in the proposed instrument. Academic self-efficacy and achievement motivation were the two constructs that were shown to be significantly correlated with students' academic performance in college across research studies. Considering the momentum that student engagement is acquiring in evaluating the quality of higher institutions and predicting students' success in college, the author also included student engagement as one of the constructs to measure. Items were created for each of the aforementioned constructs by reviewing, selecting and revising the existing measures. Face and content validity were established through expert reviews. A forty item initial survey were sent out electronically in two mid-west higher institutions. 497 responses from two Ohio higher institutions were collected. Reliability of the proposed instrument was initially established based on Cronbach's alpha. Classical Test Theory and Item Response Theory as well as Exploratory Factor Analysis were conducted in the refinement of the instrument. Confirmatory Factor Analysis was utilized to validate the construct validity of the final survey, which was consist of the 20 selected items from the initial survey. A structural equation exploration was conducted after establishing the reliability and validity of the proposed survey with the intent of studying the added values of non-cognitive attributes on students' cumulative GPA in college after controlling for the influence of their prior success, which was measured by their high school GPA and SAT scores. Two hypothesized models were tested and compared. Results indicated that students' non-cognitive constructs (i.e. Academic self-efficacy, achievement motivation and student engagement) have significant influence on students' cumulative GPA in college while not taking into account their prior academic success. However, when students' prior academic success was included as covariate in the model, most of the aforementioned non-cognitive attributes were no longer significant predictors of their academic performance in college, which in other words could be interpreted that the aforementioned students' non-cognitive constructs are, to some degree, proxies of their prior academic success, which ultimately influence their performance in college.
Author: Clarence Hirum Bagley
Publisher:
ISBN:
Category : Prediction of scholastic success
Languages : en
Pages : 350
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Book Description
