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Predicting Student Success from Non-cognitive Variables

Predicting Student Success from Non-cognitive Variables PDF Author: Phyllis Blumberg
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 19

Book Description


Predicting Student Success from Non-cognitive Variables

Predicting Student Success from Non-cognitive Variables PDF Author: Phyllis Blumberg
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 19

Book Description


Measuring Noncognitive Variables

Measuring Noncognitive Variables PDF Author: William Sedlacek
Publisher: Taylor & Francis
ISBN: 1000981282
Category : Education
Languages : en
Pages : 264

Book Description
Co-published in association with Big Picture Learning.Measuring Noncognitive Variables: Improving Admissions, Success, and Retention for Underrepresented Students is written for admissions professionals, counselors, faculty and advisers who admit, teach, or work with students during the admissions process and post-enrollment period. It brings together theory, research and practice related to noncognitive variables in a practical way by using assessment methods provided at no cost. Noncognitive variables have been shown to correlate with the academic success of students of all races, cultures, and backgrounds. Noncognitive variables include personal and social dimensions, adjustment, motivation, and student perceptions, rather than the traditional verbal and quantitative areas (often called cognitive) typically measured by standardized tests.Key Features include:* Models that raise concepts related to innovation, diversity and racism in proactive ways* Examples of admission and post-enrollment applications that show how schools and programs can use noncognitive variables in a variety of ways * Additional examples from foundations, professional associations, and K-12 programs* An overview of the limitations of traditional assessment methods such as admission tests, grades, and courses takenEducation professionals involved in the admissions process will find this guide effectively informs their practice. This guide is also appropriate as a textbook in a range of courses offered in Higher Education and Student Affairs Masters and PhD programs.

Role of Noncognitive Variables in the Prediction of Student Success in a Community College

Role of Noncognitive Variables in the Prediction of Student Success in a Community College PDF Author: Deborah Ann Abbott
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 224

Book Description


Non-cognitive Variables in Predicting Academic Success by Race

Non-cognitive Variables in Predicting Academic Success by Race PDF Author: Terence J. Tracey
Publisher:
ISBN:
Category : Minorities
Languages : en
Pages : 21

Book Description


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

Using Noncognitive Assessment to Predict Academic Success for At-risk Students PDF Author: Paul Orscheln
Publisher:
ISBN:
Category : Electronic Dissertations
Languages : en
Pages : 85

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.

The Use of Noncognitive Variables to Predict the Academic Success of Student Athletes

The Use of Noncognitive Variables to Predict the Academic Success of Student Athletes PDF Author: Charles William Walker
Publisher:
ISBN:
Category :
Languages : en
Pages : 354

Book Description


Predicting the Academic Success of Student-athletes Using SAT and Noncognitive Variables

Predicting the Academic Success of Student-athletes Using SAT and Noncognitive Variables PDF Author: William E. Sedlacek
Publisher:
ISBN:
Category : College athletes
Languages : en
Pages : 18

Book Description


The Use of Noncognitive Variables to Predict the Academic Success of Student Athletes

The Use of Noncognitive Variables to Predict the Academic Success of Student Athletes PDF Author: La Chanze M. Walker
Publisher:
ISBN:
Category :
Languages : en
Pages : 51

Book Description


Noncognitive Variables Predicting Academic Success and Persistence for African-American Freshmen Attending Historically Black Colleges and Universities Versus African-American Freshmen Attending Predominantly White Institutions

Noncognitive Variables Predicting Academic Success and Persistence for African-American Freshmen Attending Historically Black Colleges and Universities Versus African-American Freshmen Attending Predominantly White Institutions PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Limited research is available when attempting to determine what, if any, differences exist in predicting academic success and persistence for African-American students attending a historically Black college or university (HBCU) versus a predominantly White institution (PWI). Tracey and Sedlacek's (1984) noncognitive variables have accurately predicted academic success and persistence for African-American students. However, in this study, the majority of the noncognitive variables as measured by the NCQ did not differ significantly between the PWI (n=58) and the HBCU (n=538). The interaction term of Positive Self-Concept and institution type did differ for academic success and was more significant at the PWI than the HBCU. Similarly, Knowledge Acquired in a Field and Successful Leadership Positions differed for college persistence between the two institution types and was more significant at the PWI than the HBCU. Although the majority of noncognitive variables did not assist in determining the second semester GPA or enrollment status of African-American students at either a PWI or a HBCU, past research has clearly demonstrated that the significance of noncognitive variables differs from semester to semester. Therefore, a more comprehensive longitudinal study examining multiple PWIs and HBCUs is needed to fully understand what, if any, differences there are in the way noncognitive or psychosocial variables predict academic success and persistence at a PWI versus a HBCU.

Non-cognitive Skills and Factors in Educational Attainment

Non-cognitive Skills and Factors in Educational Attainment PDF Author: Myint Swe Khine
Publisher: Springer
ISBN: 9463005919
Category : Education
Languages : en
Pages : 437

Book Description
This volume addresses questions that lie at the core of research into education. It examines the way in which the institutional embeddedness and the social and ethnic composition of students affect educational performance, skill formation, and behavioral outcomes. It discusses the manner in which educational institutions accomplish social integration. It poses the question of whether they can reduce social inequality, – or whether they even facilitate the transformation of heterogeneity into social inequality. Divided into five parts, the volume offers new insights into the many factors, processes and policies that affect performance levels and social inequality in educational institutions. It presents current empirical work on social processes in educational institutions and their outcomes. While its main focus is on the primary and secondary level of education and on occupational training, the book also presents analyses of institutional effects on transitions from vocational training into tertiary educational institutions in an interdisciplinary and internationally comparative approach.