STATISTICS IN PSYCHOLOGY AND EDUCATION
Author : HENRY E. GARRETT, Ph.D.
Publisher :
Page : 516 pages
File Size : 50,87 MB
Release : 1967
Category :
ISBN :
Author : HENRY E. GARRETT, Ph.D.
Publisher :
Page : 516 pages
File Size : 50,87 MB
Release : 1967
Category :
ISBN :
Author : S. K. MANGAL
Publisher : PHI Learning Pvt. Ltd.
Page : 415 pages
File Size : 50,58 MB
Release : 2002-01-01
Category : Psychology
ISBN : 8120320883
This extensively revised and fully updated second edition is designed as a textbook for M.A. (Education), M.Ed., M.A. (Psychology and Sociology) and for research students pursuing courses in Statistics related to these subjects. It takes into account the present syllabi of various universities and institutes of education across the country. What's New to the Second Edition : Six new chapters added with empha-sis on advanced statistical concepts and techniques such as the following : - Biserial correlation, point biserial correlation, tetrachoric correlation, phi coefficient, partial and multiple correlation. - Transfer of raw scores into standard scores, T, C and Stanine scores. - Non-parametric tests like the McNemar test, Sign test, Wilcoxon test, Median test, U test, Runs test, and KS test. - Analysis of covariance. Some chapters modified and reshuffled to reflect the new emphasis. Entire text thoroughly checked and marked improvements made to bring the topics uptodate.
Author : George Andrew Ferguson
Publisher : London ; Toronto : McGraw-Hill
Page : 504 pages
File Size : 12,97 MB
Release : 1966
Category : Educational tests and measurements
ISBN :
Author : R.P. Pathak
Publisher : Pearson Education India
Page : 181 pages
File Size : 30,59 MB
Release : 2011
Category : Educational statistics
ISBN : 9332501262
Statistics in Education and Psychology aims to develop a coherent, logical and comprehensive outlook towards statistics. The subject involves a wide range of observations, measurements, tools, techniques and data analysis. This book covers diverse topics like measures of central tendency, measures of variability, the correlation method, normal probability curve (NPC), significance of difference of means, analysis of variance, non-parametric chi-square, standard score and T-score.
Author : Daniel Navarro
Publisher : Lulu.com
Page : 617 pages
File Size : 29,22 MB
Release : 2013-01-13
Category : Computers
ISBN : 1326189727
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author : Ian Peers
Publisher : Routledge
Page : 616 pages
File Size : 39,94 MB
Release : 2006-02-27
Category : Education
ISBN : 1135717516
Basic statistical concepts such as probability, estimation and inference, and their role in research design and analysis are presented in this volume. The author demonstrates which statistical test to use in given circumstances and how to use it, drawing on data from psychology and education.; Written for those without a strong mathematical background, the book's examples can be worked using a pocket calculator. "Real life" data are analyzed using statistical software (SAS), output is interpreted, and a decision chart is presented which summarizes considerations when choosing a statistical test.
Author : Sarah Boslaugh
Publisher : "O'Reilly Media, Inc."
Page : 595 pages
File Size : 11,56 MB
Release : 2012-11-15
Category : Computers
ISBN : 1449316824
A clear and concise introduction and reference for anyone new to the subject of statistics.
Author : Joy Paul Guilford
Publisher :
Page : pages
File Size : 16,30 MB
Release : 1976
Category : Educational statistics
ISBN :
Author : A.K. Kurtz
Publisher : Springer Science & Business Media
Page : 91 pages
File Size : 17,62 MB
Release : 2013-03-14
Category : Social Science
ISBN : 1475742886
Author : Jimmie Leppink
Publisher : Springer
Page : 301 pages
File Size : 26,1 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.