Gre Statistics Data Interpretation 2nd Edition
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Gre Statistics Data Interpretation 2nd Edition
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Author : Joern Meissner
language : en
Publisher:
Release Date : 2012-12-18
Gre Statistics Data Interpretation 2nd Edition written by Joern Meissner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-18 with categories.
Quantitative Comparisons Data Interpretation Gre Strategy Guide 2nd Ed
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Author : - Manhattan GRE
language : en
Publisher: Manhattan Prep Publishing
Release Date : 2011-04-19
Quantitative Comparisons Data Interpretation Gre Strategy Guide 2nd Ed written by - Manhattan GRE and has been published by Manhattan Prep Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-19 with Study Aids categories.
Updated for the revised GRE, this guide is really two books in one, thoroughly covering two of the quantitative question types on the GRE. The Guide to Quantitative Comparisons provides students a framework for understanding what Quantitative Comparisons questions tests. Most importantly, it discusses time-saving strategies specific to the Quantitative Comparisons format. The Guide to Data Interpretation presents an overview of the types of graphs students can expect to see on the GRE. It also discusses the different types of questions typically seen on the GRE and provides guidelines for reading graphs and combining information from different graphs to answer questions. Purchase of this book includes one year of access to 6 of Manhattan GRE's online practice exams.
Cliffsnotes Math Review For Standardized Tests 2nd Edition
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Author : Jerry Bobrow
language : en
Publisher: Houghton Mifflin Harcourt
Release Date : 2012-04-06
Cliffsnotes Math Review For Standardized Tests 2nd Edition written by Jerry Bobrow and has been published by Houghton Mifflin Harcourt this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-06 with Study Aids categories.
Your guide to a higher math score on standardized tests *SAT ACT® ASVAB GMAT® GRE® CBEST® PRAXIS I® GED® And More! Why CliffsNotes? Go with the name you know and trust Get the information you need–fast! About the Contents: Introduction How to use this book Overview of the exams Part I: Basic Skills Review Arithmetic and Data Analysis Algebra Part II: Strategies and Practice Mathematical Ability Quantitative Comparison Data Sufficiency Each section includes a diagnostic test, explanations of rules, concepts with examples, practice problems with complete explanations, a review test, and a glossary! Test-Prep Essentials from the Experts at CliffsNotes® For more test-prep help, visit CliffsNotes.com® *SAT is a registered trademark of the College Board, which was not involved in the production of, and does not endorse, this product.
Categorical Statistics For Communication Research
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Author : Bryan E. Denham
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-17
Categorical Statistics For Communication Research written by Bryan E. Denham and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-17 with Social Science categories.
Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and logistic regression analysis. Provides techniques for analyzing categorical data from a communication studies perspective Provides an accessible presentation of techniques for analyzing categorical data for communication scholars and other social scientists working at the advanced undergraduate and graduate teaching levels Illustrated with examples from different types of communication research such as health, political and sports communication and entertainment Includes exercises at the end of each chapter and a companion website containing exercise answers and chapter-by-chapter PowerPoint slides
Statistical Power Analysis For The Social And Behavioral Sciences
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Author : Xiaofeng Steven Liu
language : en
Publisher: Routledge
Release Date : 2013-11-07
Statistical Power Analysis For The Social And Behavioral Sciences written by Xiaofeng Steven Liu and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-07 with Psychology categories.
This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.
Statistical Concepts A Second Course
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Author : Debbie L. Hahs-Vaughn
language : en
Publisher: Routledge
Release Date : 2013-06-19
Statistical Concepts A Second Course written by Debbie L. Hahs-Vaughn and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-19 with Psychology categories.
Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included. The new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. Much more on computing confidence intervals and conducting power analyses using G*Power. All new SPSS version 19 screenshots to help navigate through the program and annotated output to assist in the interpretation of results. Sections on how to write-up statistical results in APA format and new templates for writing research questions. New learning tools including chapter-opening vignettes, outlines, a list of key concepts, "Stop and Think" boxes, and many more examples, tables, and figures. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website with Power Points, answers to the even-numbered problems, detailed solutions to the odd-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets. Each chapter begins with an outline, a list of key concepts, and a research vignette related to the concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides tips for how to run SPSS and develop an APA style write-up. Tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter includes computational, conceptual, and interpretive problems. Answers to the odd-numbered problems are provided. The SPSS data sets that correspond to the book’s examples and problems are available on the web. The book covers basic and advanced analysis of variance models and topics not dealt with in other texts such as robust methods, multiple comparison and non-parametric procedures, and multiple and logistic regression models. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Knowledge of introductory statistics is assumed.
Data Analysis
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Author : Charles M. Judd
language : en
Publisher: Routledge
Release Date : 2011-03-15
Data Analysis written by Charles M. Judd and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-15 with Education categories.
This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits: It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions It reduces the number of statistical techniques that must be memorized It teaches readers how to become data analysts instead of statisticians. The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5 - 7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis. Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed.
Using Statistics In Small Scale Language Education Research
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Author : Jean L. Turner
language : en
Publisher: Routledge
Release Date : 2014-02-18
Using Statistics In Small Scale Language Education Research written by Jean L. Turner and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-18 with Education categories.
Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants. While three different types of statistics are addressed (descriptive, parametric, non-parametric) the emphasis is on non-parametric statistics because they are appropriate when the number of participants is small and the conditions for use of parametric statistics are not satisfied. The emphasis on non-parametric statistics is unique and complements the growing interest among second and foreign language educators in doing statistical research in classrooms. Designed to help students and other language education researchers to identify and use analyses that are appropriate for their studies, taking into account the number of participants and the shape of the data distribution, the text includes sample studies to illustrate the important points in each chapter and exercises to promote understanding of the concepts and the development of practical research skills. Mathematical operations are explained in detail, and step-by-step illustrations in the use of R (a very powerful, online, freeware program) to perform all calculations are provided. A Companion Website extends and enhances the text with PowerPoint presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys.
Research In Education
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Author :
language : en
Publisher:
Release Date : 1972
Research In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Education categories.
Controlled Branching Processes
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Author : Miguel González Velasco
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-13
Controlled Branching Processes written by Miguel González Velasco and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Mathematics categories.
The purpose of this book is to provide a comprehensive discussion of the available results for discrete time branching processes with random control functions. The independence of individuals’ reproduction is a fundamental assumption in the classical branching processes. Alternatively, the controlled branching processes (CBPs) allow the number of reproductive individuals in one generation to decrease or increase depending on the size of the previous generation. Generating a wide range of behaviors, the CBPs have been successfully used as modeling tools in diverse areas of applications.