Author: Cole Davis
Publisher: Statistics Without Mathematics
ISBN: 9781916063662
Category : Education
Languages : en
Pages : 340
Book Description
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.
Statistical Testing with Jamovi and JASP Open Source Software Health
Author: Cole Davis
Publisher: Statistics Without Mathematics
ISBN: 9781916063662
Category : Education
Languages : en
Pages : 340
Book Description
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.
Publisher: Statistics Without Mathematics
ISBN: 9781916063662
Category : Education
Languages : en
Pages : 340
Book Description
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.
Statistical Testing with Jamovi and JASP Open Source Software
Author: Cole Davis
Publisher:
ISBN: 9781916477995
Category : Electronic books
Languages : en
Pages :
Book Description
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.
Publisher:
ISBN: 9781916477995
Category : Electronic books
Languages : en
Pages :
Book Description
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.
Teaching Biostatistics in Medicine and Allied Health Sciences
Author: Damian J. J. Farnell
Publisher: Springer Nature
ISBN: 3031260104
Category : Medical
Languages : en
Pages : 219
Book Description
This book discusses the theory and practice of teaching biostatistics to students in the life sciences, in particular medical and dental trainees and researchers, as well as its crucial importance to biomedical research and evidence-based health care. Specific tools and resources to biostatistics teaching (e.g., “R shiny”) are described, and how they can be used effectively to increase interaction with students and improve engagement with the subject. The book is structured into three parts: teaching and learning of statistics in medicine and allied health sciences; the move to online learning and online learning methods, especially in light of the impact of COVID-19; and computer tools and resources. It provides a unique insight into teaching biostatistics to medical and dental students from some of the most prominent biostatisticians who also have a very strong interest in biostatistics pedagogy. Biostatistics teaching is important for maintaining the quality of biomedical research and also in evidence-based medicine, both of which are key to the health and well-being of the world population. This book is particularly useful to readers who are new to the field of biostatistics teaching as well as to more experienced teachers as it presents the latest accounts of the teaching and learning of biostatistics, recent experiences of increased use of online teaching, and useful computer resources and tools for teaching biostatistics.
Publisher: Springer Nature
ISBN: 3031260104
Category : Medical
Languages : en
Pages : 219
Book Description
This book discusses the theory and practice of teaching biostatistics to students in the life sciences, in particular medical and dental trainees and researchers, as well as its crucial importance to biomedical research and evidence-based health care. Specific tools and resources to biostatistics teaching (e.g., “R shiny”) are described, and how they can be used effectively to increase interaction with students and improve engagement with the subject. The book is structured into three parts: teaching and learning of statistics in medicine and allied health sciences; the move to online learning and online learning methods, especially in light of the impact of COVID-19; and computer tools and resources. It provides a unique insight into teaching biostatistics to medical and dental students from some of the most prominent biostatisticians who also have a very strong interest in biostatistics pedagogy. Biostatistics teaching is important for maintaining the quality of biomedical research and also in evidence-based medicine, both of which are key to the health and well-being of the world population. This book is particularly useful to readers who are new to the field of biostatistics teaching as well as to more experienced teachers as it presents the latest accounts of the teaching and learning of biostatistics, recent experiences of increased use of online teaching, and useful computer resources and tools for teaching biostatistics.
OpenIntro Statistics
Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
Book Description
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.
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
Book Description
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.
Statistical Methods for Experimental Research in Education and Psychology
Author: Jimmie Leppink
Publisher: Springer
ISBN: 3030212416
Category : Education
Languages : en
Pages : 301
Book Description
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.
Publisher: Springer
ISBN: 3030212416
Category : Education
Languages : en
Pages : 301
Book Description
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.
Statistical Power Analysis for the Behavioral Sciences
Author: Jacob Cohen
Publisher: Routledge
ISBN: 1134742770
Category : Psychology
Languages : en
Pages : 625
Book Description
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Publisher: Routledge
ISBN: 1134742770
Category : Psychology
Languages : en
Pages : 625
Book Description
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Statistics for Clinicians
Author: Ahmed Hassouna
Publisher: Springer Nature
ISBN: 3031207580
Category : Medical
Languages : en
Pages : 641
Book Description
How much statistics does a clinician, surgeon or nurse need to know? This book provides an essential handbook to help appraise evidence in a scientific paper, to design and interpret the results of research correctly, to guide our students and to review the work of our colleagues. This title is written by a clinician exclusively for fellow clinicians, in their own language and not in statistical or epidemiological terms. When clinicians discuss probability, it is focussed on how it applies to the management of patients in the flesh and how they are managed in a clinical setting. Statistics for Clinicians does not overlook the basis of statistics, but reviews techniques specific to medicine with an emphasis on their application. It ensures that readers have the correct tools to hand, including worked examples, guides and links to online calculators and free software, enabling readers to execute most statistical calculations. This book will therefore be enormously helpful for many working across all fields of medicine at any stage of their career.
Publisher: Springer Nature
ISBN: 3031207580
Category : Medical
Languages : en
Pages : 641
Book Description
How much statistics does a clinician, surgeon or nurse need to know? This book provides an essential handbook to help appraise evidence in a scientific paper, to design and interpret the results of research correctly, to guide our students and to review the work of our colleagues. This title is written by a clinician exclusively for fellow clinicians, in their own language and not in statistical or epidemiological terms. When clinicians discuss probability, it is focussed on how it applies to the management of patients in the flesh and how they are managed in a clinical setting. Statistics for Clinicians does not overlook the basis of statistics, but reviews techniques specific to medicine with an emphasis on their application. It ensures that readers have the correct tools to hand, including worked examples, guides and links to online calculators and free software, enabling readers to execute most statistical calculations. This book will therefore be enormously helpful for many working across all fields of medicine at any stage of their career.
Statistics for the Behavioral Sciences
Author: Susan A. Nolan
Publisher: Macmillan
ISBN: 142923265X
Category : Mathematics
Languages : en
Pages : 710
Book Description
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.
Publisher: Macmillan
ISBN: 142923265X
Category : Mathematics
Languages : en
Pages : 710
Book Description
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.
Learning Statistics with R
Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617
Book Description
"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
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617
Book Description
"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
Introduction to Robust Estimation and Hypothesis Testing
Author: Rand R. Wilcox
Publisher: Academic Press
ISBN: 0123869838
Category : Mathematics
Languages : en
Pages : 713
Book Description
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
Publisher: Academic Press
ISBN: 0123869838
Category : Mathematics
Languages : en
Pages : 713
Book Description
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--