Author:
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 16
Book Description
Relative Usefulness in Predicting Academic Success of the ACT, the SAT, the CQT, and Some Other Variables
Relative Usefulness in Predicting Academic Success of the A.C.T., the S.A.T. and Some Other Variables
Author: Leon Joseph Lins
Publisher:
ISBN:
Category : Educational tests and measurements
Languages : en
Pages : 53
Book Description
Publisher:
ISBN:
Category : Educational tests and measurements
Languages : en
Pages : 53
Book Description
CCHE.
Author: Wisconsin. Coordinating Committee for Higher Education
Publisher:
ISBN:
Category :
Languages : en
Pages : 590
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 590
Book Description
A Comparison of Selected Personal and Educational Characteristics of Electronics Technicians and of Students in Electronics Technology Programs in Wisconsin
Author: Donald M. Brill
Publisher:
ISBN:
Category : Electronic technicians
Languages : en
Pages : 744
Book Description
Publisher:
ISBN:
Category : Electronic technicians
Languages : en
Pages : 744
Book Description
CCHE.
Author: Wisconsin. Coordinating Council for Higher Education
Publisher:
ISBN:
Category :
Languages : en
Pages : 784
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 784
Book Description
Intelligence Tests and Reviews
Author: Buros Center
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 1196
Book Description
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 1196
Book Description
Factor Analytic Studies, 1941-1970
Author: Brian Bolton
Publisher:
ISBN:
Category : Factor analysis
Languages : en
Pages : 192
Book Description
Publisher:
ISBN:
Category : Factor analysis
Languages : en
Pages : 192
Book Description
Semi-annual Report
Author: Wisconsin. Coordinating Committee for Higher Education
Publisher:
ISBN:
Category : Education, Higher
Languages : en
Pages : 92
Book Description
Publisher:
ISBN:
Category : Education, Higher
Languages : en
Pages : 92
Book Description
Evaluation of ACT/SAT Scores as Predictors of Student Success in General Chemistry
Author: Kerri Dalita Scott
Publisher:
ISBN:
Category :
Languages : en
Pages : 216
Book Description
Prediction of student success in a single course such as general chemistry has traditionally been the purview of the department which owns the course such as the department of chemistry. In the analysis of data such as ACT or SAT scores, chemists have traditionally used the statistic techniques common to their research pursuits. For many chemists, this is typically been ordinary linear regression where letter grades that students receive are treated as the dependent variable while factors of interest were explored as potential predictive variables. Evaluation of the underlying mathematical basis of linear regression reveals that its use in success predication violates one of more of the assumptions that must be made about the type and quality of data. The most commonly violated assumption is homoscedacity (or constant variance of the errors). Additionally, the ultimate goal of success prediction is to determine if a student will either pass or fail a course based on the predictor variable--that is--only 2 possible outcomes. With the increasing availability of personal computing, other means of data analysis are now commonly available via statistical software packages such as SPSS. One alternative technique that continues to grow in the interest of chemists' evaluation of student success is logistic regression. Logistic regression is a general linearized model in which the natural logarithm of the odds is linearly related to the predictor variable. This study investigates the use of the ACT and SAT to predict student success in general chemistry at The University of Mississippi, CHEM 105, over a four year period. Additionally this study seeks to determine a typical student profile in order to determine if the widely accepted notions of the typical CHEM 105 student are reasonably accurate.
Publisher:
ISBN:
Category :
Languages : en
Pages : 216
Book Description
Prediction of student success in a single course such as general chemistry has traditionally been the purview of the department which owns the course such as the department of chemistry. In the analysis of data such as ACT or SAT scores, chemists have traditionally used the statistic techniques common to their research pursuits. For many chemists, this is typically been ordinary linear regression where letter grades that students receive are treated as the dependent variable while factors of interest were explored as potential predictive variables. Evaluation of the underlying mathematical basis of linear regression reveals that its use in success predication violates one of more of the assumptions that must be made about the type and quality of data. The most commonly violated assumption is homoscedacity (or constant variance of the errors). Additionally, the ultimate goal of success prediction is to determine if a student will either pass or fail a course based on the predictor variable--that is--only 2 possible outcomes. With the increasing availability of personal computing, other means of data analysis are now commonly available via statistical software packages such as SPSS. One alternative technique that continues to grow in the interest of chemists' evaluation of student success is logistic regression. Logistic regression is a general linearized model in which the natural logarithm of the odds is linearly related to the predictor variable. This study investigates the use of the ACT and SAT to predict student success in general chemistry at The University of Mississippi, CHEM 105, over a four year period. Additionally this study seeks to determine a typical student profile in order to determine if the widely accepted notions of the typical CHEM 105 student are reasonably accurate.
The ... Mental Measurements Yearbook
Author: Oscar Krisen Buros
Publisher:
ISBN:
Category : Educational tests and measurements
Languages : en
Pages : 982
Book Description
Publisher:
ISBN:
Category : Educational tests and measurements
Languages : en
Pages : 982
Book Description