Statistical Methods Applied to Education
Author : Harold Ordway Rugg
Publisher :
Page : 444 pages
File Size : 46,17 MB
Release : 1917
Category : Education
ISBN :
Author : Harold Ordway Rugg
Publisher :
Page : 444 pages
File Size : 46,17 MB
Release : 1917
Category : Education
ISBN :
Author : Rudolf J. Freund
Publisher : Elsevier
Page : 694 pages
File Size : 23,3 MB
Release : 2003-01-07
Category : Mathematics
ISBN : 0080498221
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters
Author : A.K. Kurtz
Publisher : Springer Science & Business Media
Page : 91 pages
File Size : 42,87 MB
Release : 2013-03-14
Category : Social Science
ISBN : 1475742886
Author : Jimmie Leppink
Publisher : Springer
Page : 301 pages
File Size : 19,79 MB
Release : 2019-05-30
Category : Education
ISBN : 3030212416
This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.
Author : Harold Ordway Rugg
Publisher :
Page : 410 pages
File Size : 28,63 MB
Release : 1922
Category :
ISBN :
Author : A.K. Kurtz
Publisher : Springer Science & Business Media
Page : 552 pages
File Size : 26,7 MB
Release : 2012-12-06
Category : Education
ISBN : 1461261295
This book is intended for use in the elementary statistics course in Educa tion or in Psychology. While it is primarily designed for use in the first semester of a two-semester course, it may also be used in a one-semester course. There are not five or ten competing texts; the number is much closer to fifty or a hundred. Why, then, should we write still another one? A new statistics text for use in Education and Psychology is, to some slight extent, comparable to a new translation or edition of the Bible. Most of it has been said before-but this time with a difference. The present writers realize that elementary statistics students know very little about the subject-even the meaning of I is all Greek to them. This text covers the basic course in depth, with examples using real data from the real world. It, of course, contains the usual reference tables and several new ones; it gives the appropriate formulas every time; and it accurately depicts all graphs. It is so comprehensive that if instructors can't find their own special areas of interest covered, then those interests probably don't belong in a basic text.
Author : Carter Alexander
Publisher :
Page : 364 pages
File Size : 46,29 MB
Release : 1919
Category : Education
ISBN :
Author : Harold Ordway Rugg
Publisher :
Page : 450 pages
File Size : 28,13 MB
Release : 1917
Category :
ISBN :
Author : M. Rajamanickam
Publisher : Concept Publishing Company
Page : 318 pages
File Size : 15,7 MB
Release : 2001
Category :
ISBN : 9788170228028
Author : Cheryl Ann Willard
Publisher : Routledge
Page : 367 pages
File Size : 15,24 MB
Release : 2020-02-27
Category : Psychology
ISBN : 0429523157
Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual