Download or read book Statistical Testing with Jamovi and JASP Open Source Software written by Cole Davis and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches statistics in a cheerful, straightforward manner, cherry-picking from two similar, easy-to-use open source software packages, which are being adopted by universities across the world. Without mathematical formulae, no previous statistical knowledge is assumed. Yet the lucid writing and clear structure takes the reader quickly and logically from beginner to graduate level. All tests come with worked examples from psychology. Tests include t tests, one-way ANOVA, and their non-parametric equivalents; correlations and regression; categorical analyses including binomial, chi square and more; factorial ANOVA; MANOVA; principal components analysis and factor analysis; logistic regression; partial correlations; the Kaplan-Meier curve; an introduction to Bayesian statistics. The book takes a consistent approach to effect sizes, as well as covering data assumptions and confidence intervals. This should appeal to students, academics and practitioners.
Download or read book Statistical Testing with Jamovi and JASP Open Source Software written by Cole Davis and published by . This book was released on 2019 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This well-structured book avoids formulae, is suitable for beginners, but goes much further. With worked examples from sociology, the statistical tests are clearly explained, including a consistent approach to effect sizes. Included are multivariate tests, a comprehensive chapter on categorical analyses and an introduction to Bayesian statistics."--
Download or read book Statistical Testing with Jamovi and JASP Open Source Software Education written by Cole Davis and published by Statistics Without Mathematics. This book was released on 2020-04-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-structured book avoids formulae, is suitable for beginners, but goes much further. With worked examples from education, statistical tests are clearly explained, including a consistent approach to effect sizes. Included are multivariate tests, a comprehensive chapter on categorical analyses and an introduction to Bayesian statistics.
Download or read book Statistical Testing with Jamovi and Jasp Open Source Software Sociology written by Cole Davis and published by VOR Press. This book was released on 2019-03 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-structured book avoids formulae, is suitable for beginners, but goes much further. With worked examples from sociology, the statistical tests are clearly explained, including a consistent approach to effect sizes. Included are multivariate tests, a comprehensive chapter on categorical analyses and an introduction to Bayesian statistics.
Download or read book Statistical Testing with Jamovi and JASP Open Source Software written by Cole Davis and published by . This book was released on 2019 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This well-structured book avoids formulae, is suitable for beginners, but goes much further. With worked examples from criminology, the statistical tests are clearly explained, including a consistent approach to effect sizes. Included are multivariate tests, a comprehensive chapter on categorical analyses and an introduction to Bayesian statistics."--
Download or read book Statistical Testing with Jamovi and JASP Open Source Software Sport written by Cole Davis and published by VOR Press. This book was released on 2020-04-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-structured book avoids formulae, is suitable for beginners, but goes much further. With worked examples from sport, the statistical tests are clearly explained, including a consistent approach to effect sizes. Included are multivariate tests, a comprehensive chapter on categorical analyses and an introduction to Bayesian statistics.
Download or read book Statistical Testing with Jamovi and JASP Open Source Software Health written by Cole Davis and published by Statistics Without Mathematics. This book was released on 2020-04-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-structured book avoids formulae, is suitable for beginners, but goes much further. With worked examples from health settings, the tests are clearly explained, including a consistent approach to effect sizes. Included are multivariate tests, a comprehensive chapter on categorical analyses and an introduction to Bayesian statistics.
Download or read book Introduction to the New Statistics written by Geoff Cumming and published by Routledge. This book was released on 2016-10-04 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.
Download or read book Statistical Methods for Experimental Research in Education and Psychology written by Jimmie Leppink and published by Springer. This book was released on 2019-05-30 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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
Download or read book OpenIntro Statistics written by David Diez and published by . This book was released on 2015-07-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Download or read book Conducting Original Research for Your Library written by Caitlin Gerrity and published by Bloomsbury Publishing USA. This book was released on 2024-06-13 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise manual for professionals in the field, this book helps librarians master the skills to conduct, interpret, and analyze their own original research. Many working librarians discover that original research would help them advocate for their libraries, but some graduate programs teach only limited research skills. Designed for all librarians, this book is a practical guide to engaging with the research process, from identifying a problem to sharing findings with others. Authors Caitlin Gerrity and Scott Lanning have packed this introductory guide and reference book with short, to-the-point information that librarians will refer to often at all stages of a research project. From research ethics to statistical significance and everything in between, this primer is the point-of-need resource for librarians in public, academic, and school libraries who wish to use original research to support the profession.
Download or read book Open Source Software for Statistical Analysis of Big Data Emerging Research and Opportunities written by Segall, Richard S. and published by IGI Global. This book was released on 2020-02-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Download or read book Statistics for the Behavioral Sciences written by Susan A. Nolan and published by Macmillan. This book was released on 2011-02 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nolan and Heinzen’s engaging introduction to statistics has captivated students with its easy readability and vivid examples drawn from everyday life. The mathematics of statistical reasoning are made accessible with careful explanations and a helpful three-tier approach to working through exercises: Clarifying the Concepts, Calculating the Statistics, and Applying the Concepts. New pedagogy, end-of-chapter material, and the groundbreaking learning space StatsPortal give students even more tools to help them master statistics than ever before.
Download or read book Basic Statistics for Psychologists written by Marc Brysbaert and published by Bloomsbury Publishing. This book was released on 2019-10-05 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students' confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages
Download or read book Advances in Biomedicine written by Mieczyslaw Pokorski and published by Springer. This book was released on 2019-07-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers multidisciplinary articles that present advances of our understanding of diseases and the effective treatment of patients. The authors share recent clinical and experimental research findings, highlighting poorly understood areas with uncertain treatment outcomes, such as giant-cell bone tumors and their propensity to metastasize to the lungs; subterranean rehabilitation in pulmonary disorders; male reproductive hormone regulation during physical exercise in hyperbaric, hyperoxic environments, like underwater diving; and amelioration of cognitive decline owing to increased cerebral blood transit time after internal carotid artery stenting. Other topics include new concepts and innovations in the treatment of diabetes in pregnancy, and leg ulcers in chronic venous insufficiency, as well as molecular research on the toxic effects of oxidative stress, impaired cell autophagy, and experimental conditions resembling air pollution. Featuring the latest interdisciplinary advances in biomedicine, this book is a valuable resource for medical professionals, both academics and practitioners, and all allied health-care workers.
Download or read book Hypothesis Testing written by Jim Frost and published by Statistics By Jim Publishing. This book was released on 2020-08-29 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a solid foundation for understanding how hypothesis tests work and become confident that you know when to use each type of test, how to use them properly to obtain reliable results, and interpret the results correctly. Chances are high that you'll need a working knowledge of hypothesis testing to produce new findings yourself and to understand the work of others. I present a wide variety of tests that assess characteristics of different data types. I focus on helping you grasp key concepts, methodologies, and procedures while deemphasizing equations. Learn how to use these tests painlessly in this ebook!In today's data-driven world, we hear about making decisions based on the data all the time. Hypothesis testing plays a crucial role in that process, whether you're in academia, making business decisions, or in quality improvement. Without hypothesis tests, you risk drawing the wrong conclusions and making bad decisions. The world today produces more data and more analyses designed to influence you than ever before. Are you ready for it? In this 367-page ebook, build the skills and knowledge you'll need for effective hypothesis testing, including the following: Why you need hypothesis tests and how they work. Using significance levels, p-values, confidence intervals. Select the correct type of hypothesis test to answer your question. Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and outliers. Use One-Way ANOVA, Two-Way ANOVA and interaction effects. Interpreting the results. Checking assumptions and obtaining reliable results. Manage the error rates for false positives and false negatives. Understand sampling distributions, central limit theorem, and statistical power. Know how t-tests, F-tests, chi-squared, and post hoc tests work. Learn about the differences between parametric, nonparametric, and bootstrapping methods. Examples of different types of hypothesis tests. Downloadable datasets so you can try it yourself. For each hypothesis test I cover, you will learn what it tells you, understand its assumptions, know how to interpret the results, and work through examples with downloadable datasets.
