The Relative Efficiency of Multiple Analysis and Multivariate Discriminant Analysis in Predicting Success in Elementary Algebra at the Eighth Grade Level

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ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (226 download)

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Book Synopsis The Relative Efficiency of Multiple Analysis and Multivariate Discriminant Analysis in Predicting Success in Elementary Algebra at the Eighth Grade Level by : M. Forrest Towry

Download or read book The Relative Efficiency of Multiple Analysis and Multivariate Discriminant Analysis in Predicting Success in Elementary Algebra at the Eighth Grade Level written by M. Forrest Towry and published by . This book was released on 1968 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Comprehensive Dissertation Index, 1861-1972: Education

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Publisher :
ISBN 13 :
Total Pages : 1040 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Comprehensive Dissertation Index, 1861-1972: Education by : Xerox University Microfilms

Download or read book Comprehensive Dissertation Index, 1861-1972: Education written by Xerox University Microfilms and published by . This book was released on 1973 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Linking Eighth- and Ninth-grade Algebra Success to Key Variables of Prior Mathematics Knowledge and Skills

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (466 download)

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Book Synopsis Linking Eighth- and Ninth-grade Algebra Success to Key Variables of Prior Mathematics Knowledge and Skills by :

Download or read book Linking Eighth- and Ninth-grade Algebra Success to Key Variables of Prior Mathematics Knowledge and Skills written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Algebra has been considered a gateway course for college preparation, with students who take algebra in eighth grade considered likely to succeed in high school and go to college. However, among the 50% of California eighth-grade students who took algebra in 2007, only 38% scored proficient or above on the California Standards Test (CST). This study investigates the link between students' prior knowledge and eighth- and ninth-grade algebra success. The data were over 600,000 seventh-, eighth-, and ninth-grade students' test results on the CSTs administered in 2006 and 2007. Two cohorts were investigated: cohort 1 (grades 8-9) and cohort 2 (grades 7-8). If learning success is defined by scoring proficient or above on CSTs, test results from cohort 1 reveal that ninth-grade students have 22% more chance of succeeding in algebra if they passed the CST for General Mathematics in eighth grade compared to those who failed the CST for Algebra I. Further, to predict eighth-grade CST for Algebra I scores, three regression models were studied for cohort 2. Model 1 specifies a predictor variable of the CST for Grade Seven Mathematics score; model 2 specifies predictor variables of the CST for Grade Seven Mathematics' reporting cluster sub-scores; and model 3 specifies predictor variables of the CST for Grade Seven English-Language Arts score, the CST for Grade Seven Mathematics' reporting cluster sub-scores, and student demography. For the three models, these predictor variables contributed respectively 61%, 62%, and 64% of the variance of the CST for Algebra I scores. Also, the model 2 multiple regression analysis indicates that among the six reporting clusters of content knowledge and skills, rational numbers is a strong predictor, contributing 48% of the variance to the CST for Algebra I scores. A validation on model 3 shows 96% of the prediction at the same or within one performance level difference (+/- ) compared to the observed performance levels. A principal factor analysis (PFA) indicates that one factor underlies the six reporting clusters of the CST for Grade Seven Mathematics, suggesting that there is not enough empirical evidence to identify specific subsets of knowledge and skills as algebra readiness.

Multivariate Statistical Prediction/classification of Students Within Instructional Levels in Selected Ninth Grade Subjects

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ISBN 13 :
Total Pages : 414 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Multivariate Statistical Prediction/classification of Students Within Instructional Levels in Selected Ninth Grade Subjects by : Richard Arsene Laliberte

Download or read book Multivariate Statistical Prediction/classification of Students Within Instructional Levels in Selected Ninth Grade Subjects written by Richard Arsene Laliberte and published by . This book was released on 1969 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Six-variable Multiple Regression Equation for Predicting Academic Attainment in College Algebra

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ISBN 13 :
Total Pages : 162 pages
Book Rating : 4.3/5 (21 download)

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Book Synopsis A Six-variable Multiple Regression Equation for Predicting Academic Attainment in College Algebra by : James M. Ainsworth

Download or read book A Six-variable Multiple Regression Equation for Predicting Academic Attainment in College Algebra written by James M. Ainsworth and published by . This book was released on 1949 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Multivariate Statistical Analysis (Classic Version)

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Publisher : Pearson
ISBN 13 : 9780134995397
Total Pages : 808 pages
Book Rating : 4.9/5 (953 download)

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Book Synopsis Applied Multivariate Statistical Analysis (Classic Version) by : Richard A. Johnson

Download or read book Applied Multivariate Statistical Analysis (Classic Version) written by Richard A. Johnson and published by Pearson. This book was released on 2018-03-18 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

An Analysis of Three Variables Used in Predicting the Success of Eighth-grade Algebra Students at Finley Junior High School

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Publisher :
ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (242 download)

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Book Synopsis An Analysis of Three Variables Used in Predicting the Success of Eighth-grade Algebra Students at Finley Junior High School by : Harry William Hayward

Download or read book An Analysis of Three Variables Used in Predicting the Success of Eighth-grade Algebra Students at Finley Junior High School written by Harry William Hayward and published by . This book was released on 1970 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predictive Validity of Multiple Measures as a Placement Method for Developmental Mathematics Courses at Chesapeake College

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Publisher :
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.:/5 (739 download)

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Book Synopsis Predictive Validity of Multiple Measures as a Placement Method for Developmental Mathematics Courses at Chesapeake College by : Adugna K. Mekonnen

Download or read book Predictive Validity of Multiple Measures as a Placement Method for Developmental Mathematics Courses at Chesapeake College written by Adugna K. Mekonnen and published by . This book was released on 2010 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dissertation Abstracts International

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Publisher :
ISBN 13 :
Total Pages : 768 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 1973 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstracts of dissertations available on microfilm or as xerographic reproductions.

Effective Tracking

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ISBN 13 :
Total Pages : 126 pages
Book Rating : 4.:/5 (168 download)

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Book Synopsis Effective Tracking by : Jeff A. King

Download or read book Effective Tracking written by Jeff A. King and published by . This book was released on 2007 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the accuracy of the tools used by a Southern California school district in placing 7th grade students into an 8th grade Algebra 1 course. The school records of 107 current 8th grade Algebra students were analyzed. The students' 7th grade Pre-Algebra grades and 7th grade scores on the MDTP (Mathematics Diagnostic Testing Project) placement test were compared to the success of these same students in gth grade Algebra 1. Success was determined on the basis of Algebra 1 final grades as well as results on the district wide end-of-course exam. The data was analyzed statistically using correlation and regression models to determine the accuracy of 7th grade Pre-Algebra grades and student scores on the MDTP placement test as predictors of student success in gth grade Algebra 1. The results show that students' grades in 7th grade Pre-Algebra were a better predictor of student success in gth grade Algebra 1 than scores on the 7th grade MDTP placement test. In addition, multiple regression analysis showed that a combined contribution of both predictors had stronger predicting power than either predictor used individually. These findings indicate a need to look into the overall value of placement tests at the middle school level. Keywords: Algebra 1, middle school, placement tests, student placement, tracking

Multiple Regression and Beyond

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Publisher : Routledge
ISBN 13 : 1351667939
Total Pages : 640 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Multiple Regression and Beyond by : Timothy Z. Keith

Download or read book Multiple Regression and Beyond written by Timothy Z. Keith and published by Routledge. This book was released on 2019-01-14 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources

Current Index to Journals in Education

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ISBN 13 :
Total Pages : 1066 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Current Index to Journals in Education by :

Download or read book Current Index to Journals in Education written by and published by . This book was released on 1983 with total page 1066 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Noncognitive Skills in the Classroom

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Publisher : RTI Press
ISBN 13 : 1934831026
Total Pages : 216 pages
Book Rating : 4.9/5 (348 download)

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Book Synopsis Noncognitive Skills in the Classroom by : Jeffrey A. Rosen

Download or read book Noncognitive Skills in the Classroom written by Jeffrey A. Rosen and published by RTI Press. This book was released on 2010-09-27 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of recent research on the relationship between noncognitive attributes (motivation, self efficacy, resilience) and academic outcomes (such as grades or test scores). We focus primarily on how these sets of attributes are measured and how they relate to important academic outcomes. Noncognitive attributes are those academically and occupationally relevant skills and traits that are not “cognitive”—that is, not specifically intellectual or analytical in nature. We examine seven attributes in depth and critique the measurement approaches used by researchers and talk about how they can be improved.

Applied Predictive Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 1461468493
Total Pages : 595 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Predictive Modeling by : Max Kuhn

Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Matrix-Based Introduction to Multivariate Data Analysis

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Publisher : Springer
ISBN 13 : 9811023417
Total Pages : 298 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Matrix-Based Introduction to Multivariate Data Analysis by : Kohei Adachi

Download or read book Matrix-Based Introduction to Multivariate Data Analysis written by Kohei Adachi and published by Springer. This book was released on 2016-10-11 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.

All of Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217363
Total Pages : 446 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis All of Statistics by : Larry Wasserman

Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Predict, Observe, Explain

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Publisher : NSTA Press
ISBN 13 : 1936137593
Total Pages : 337 pages
Book Rating : 4.9/5 (361 download)

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Book Synopsis Predict, Observe, Explain by : John Haysom

Download or read book Predict, Observe, Explain written by John Haysom and published by NSTA Press. This book was released on 2010 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: John Haysom and Michael Bowen provide middle and high school science teachers with more than 100 student activities to help the students develop their understanding of scientific concepts. The powerful Predict, Observe, Explain (POE) strategy, field-tested by hundreds of teachers, is designed to foster student inquiry and challenge existing conceptions that students bring to the classroom.