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Nonparametric Statistical Tests A Computational Approach

Nonparametric Statistical Tests A Computational Approach

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs allowing readers to carry out the different statistical methods such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas including the bible and their analyses provide for greatly diversified reading. The book covers: Nonparametric two-sample tests for the location-shift model specifically the Fisher-Pitman permutation test the Wilcoxon rank sum test and the Baumgartner-Weiss-Schindler test Permutation tests location-scale tests tests for the nonparametric Behrens-Fisher problem and tests for a difference in variability Tests for the general alternative including the (Kolmogorov-)Smirnov test ordered categorical and discrete numerical data Well-known one-sample tests such as the sign test and Wilcoxon’s signed rank test a modification suggested by Pratt (1959) a permutation test with original observations and a one-sample bootstrap test are presented. Tests for more than two groups the following tests are described in detail: the Kruskal-Wallis test the permutation F test the Jonckheere-Terpstra trend test tests for umbrella alternatives and the Friedman and Page tests for multiple dependent groups The concepts of independence and correlation and stratified tests such as the van Elteren test and combination tests The applicability of computer-intensive methods such as bootstrap and permutation tests for non-standard situations and complex designs Although the major development of nonparametric methods came to a certain end in the 1970s their importance undoubtedly persists. What is still needed is a computer assisted evaluation of their main properties. This book closes that gap. | Nonparametric Statistical Tests A Computational Approach

GBP 69.99
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Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

Promoting Cultural Sensitivity in Supervision A Manual for Practitioners

Contemporary Intellectual Assessment Fourth Edition Theories Tests and Issues

GBP 54.99
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An Introduction to Psychometrics and Psychological Assessment Using Interpreting and Developing Tests

An Introduction to Psychometrics and Psychological Assessment Using Interpreting and Developing Tests

An Introduction to Psychometrics and Psychological Assessment is the successor to Cooper’s prize-winning book Psychological Testing: Theory and Practice. This expanded and updated volume shows how psychological questionnaires and tests can be chosen administered scored interpreted and developed. In providing students researchers test users test developers and practitioners in the social sciences education and health with an evaluative guide to choosing using interpreting and developing tests it provides readers a thorough grasp of the principles (and limitations) of testing together with the necessary methodological detail. This book has three distinctive features. First it stresses the basic logic of psychological assessment without getting bogged down with mathematics; the spreadsheet simulations and utilities which are integrated into the text allow users to explore how numbers behave rather than reading equations. Readers will learn by doing. Second it covers both the theory behind psychological assessment and the practicalities of locating designing and using tests and interpreting their scores. Finally it is evaluative. Rather than just describing concepts such as test reliability or adaptive testing it stresses the underlying principles merits and drawbacks of each approach to assessment and methods of developing and evaluating questionnaires and tests. Unusually for an introductory text it includes coverage of several cutting-edge techniques and this new edition expands the discussion on measurement invariance methods of detecting/quantifying bias and hierarchical factor models and features added sections on: Best practices for translation of tests into other languages and problems of cultural bias Automatic item generation The advantages drawbacks and practicalities of internet-based testing Generalizability theory Network analysis Dangerous assumptions made when scoring tests The accuracy of tests used for assessing individuals The two-way relationship between psychometrics and psychological theory Aimed at non-mathematicians this friendly and engaging text will help you to understand the fundamental principles of psychometrics that underpin the measurement of any human characteristic using any psychological test. Written by a leading figure in the field and accompanied by additional resources including a set of spreadsheets which use simulated data and other techniques to illustrate important issues this is an essential introduction for all students of psychology and related disciplines. It assumes very little statistical background and is written for students studying psychological assessment or psychometrics and for researchers and practitioners who use questionnaires and tests to measure personality cognitive abilities educational attainment mood or motivation. | An Introduction to Psychometrics and Psychological Assessment Using Interpreting and Developing Tests

GBP 38.99
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A Theory of Group Structures Volume II: Empirical Tests

Statistical Power Analysis A Simple and General Model for Traditional and Modern Hypothesis Tests Fifth Edition

Statistical Power Analysis A Simple and General Model for Traditional and Modern Hypothesis Tests Fifth Edition

Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences. Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression in the analysis of experimental data and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R a language that is widely used and freely available. The authors include R codes for all programs and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. Statistical Power Analysis helps readers design studies diagnose existing studies and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains. | Statistical Power Analysis A Simple and General Model for Traditional and Modern Hypothesis Tests Fifth Edition

GBP 49.99
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Reversibility of Chronic Disease and Hypersensitivity Volume 4 The Environmental Aspects of Chemical Sensitivity

Maternal Sensitivity Mary Ainsworth's Enduring Influence on Attachment Theory Research and Clinical Applications

Maternal Sensitivity Mary Ainsworth's Enduring Influence on Attachment Theory Research and Clinical Applications

Mary Ainsworth’s work on the importance of maternal sensitivity for the development of infant attachment security is widely recognized as one of the most revolutionary and influential contributions to developmental psychology in the 20th century. Her longitudinal studies of naturalistic mother-infant interactions in Uganda and Baltimore played a pivotal role in the formulation and acceptance of attachment theory as a new paradigm with implications for developmental personality social and clinical psychology. The chapters in this volume collectively reveal not only the origins and depth of her conceptualizations and the originality of her assessment methods but also the many different ways in which her ideas about maternal sensitivity continue to inspire innovative research and clinical applications in Western and non-Western cultures. The contributors are leading attachment researchers including some of Mary Ainsworth’s most influential students and colleagues who have taken time to step back from their day to day research and reflect on the significance of the work she initiated and the challenges inherent in assessing parental sensitivity during naturalistic interactions in infancy and beyond. This volume makes Ainsworth’s pioneering conceptual and methodological breakthroughs and their continuing research and clinical impact accessible to theorists researchers and mental health specialists. This book was originally published as a special issue of Attachment & Human Development. | Maternal Sensitivity Mary Ainsworth's Enduring Influence on Attachment Theory Research and Clinical Applications

GBP 38.99
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Estimands Estimators and Sensitivity Analysis in Clinical Trials

Estimands Estimators and Sensitivity Analysis in Clinical Trials

The concepts of estimands analyses (estimators) and sensitivity are interrelated. Therefore great need exists for an integrated approach to these topics. This book acts as a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language providing technical details real-world examples and SAS and R code to implement analyses. The updated ICH guideline raises new analytic and cross-functional challenges for statisticians. Gaps between different communities have come to surface such as between causal inference and clinical trialists as well as among clinicians statisticians and regulators when it comes to communicating decision-making objectives assumptions and interpretations of evidence. This book lays out a path toward bridging some of these gaps. It offers¿ A common language and unifying framework along with the technical details and practical guidance to help statisticians meet the challenges¿ A thorough treatment of intercurrent events (ICEs) i. e. postrandomization events that confound interpretation of outcomes and five strategies for ICEs in ICH E9 (R1)¿ Details on how estimands integrated into a principled study development process lay a foundation for coherent specification of trial design conduct and analysis needed to overcome the issues caused by ICEs:¿ A perspective on the role of the intention-to-treat principle¿ Examples and case studies from various areas¿ Example code in SAS and R¿ A connection with causal inference¿ Implications and methods for analysis of longitudinal trials with missing dataTogether the authors have offered the readers their ample expertise in clinical trial design and analysis from an industrial and academic perspective. | Estimands Estimators and Sensitivity Analysis in Clinical Trials

GBP 39.99
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Preconcentration Techniques for Natural and Treated Waters High Sensitivity Determination of Organic and Organometallic Compounds Cations and

Research and Statistics for Social Workers

Fraud Auditing Using CAATT A Manual for Auditors and Forensic Accountants to Detect Organizational Fraud

Planning for Population Change

Statistics in Corpus Linguistics Research A New Approach

Statistics in Corpus Linguistics Research A New Approach

Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis promoting a visual approach to understanding the performance of tests with real data and demonstrating how to derive new intervals and tests. Accessibly written this book discusses the ‘why’ behind the statistical model allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals this book focuses on practical issues such as how to: • pose research questions in terms of choice and constraint; • employ confidence intervals correctly (including in graph plots); • select optimal significance tests (and what results mean); • measure the size of the effect of one variable on another; • estimate the similarity of distribution patterns; and • evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher this book is both a practical overview and valuable resource. | Statistics in Corpus Linguistics Research A New Approach

GBP 35.99
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A Creative Primary Curriculum for All

Practical Psychometrics A Guide for Test Users

Basic Statistics and Pharmaceutical Statistical Applications

The Need for Critical Thinking and the Scientific Method

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible hands-on approach as its best-selling predecessor the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS Second Edition explains how to apply statistical tests to experimental findings identify the assumptions underlying the tests and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second EditionThree new chapters on multiple discriminant analysis logistic regression and canonical correlationNew section on how to deal with missing dataCoverage of tests of assumptions such as linearity outliers normality homogeneity of variance-covariance matrices and multicollinearityDiscussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis path analysis (test of the mediation hypothesis) and structural equation modelingSuitable for both newcomers and seasoned researchers in the social sciences the handbook offers a clear guide to selecting the right statistical test executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.

GBP 42.99
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Counseling for Artists Performers and Other Creative Individuals A Guide For Clinicians

A Pen and Paper Introduction to Statistics

A Pen and Paper Introduction to Statistics

Statistics is central in the biosciences social sciences and other disciplines yet many students often struggle to learn how to perform statistical tests and to understand how and why statistical tests work. Although there are many approaches to teaching statistics a common framework exists between them: starting with probability and distributions then sampling from distribution and descriptive statistics and later introducing both simple and complex statistical tests typically ending with regression analysis (linear models). This book proposes to reverse the way statistics is taught by starting with the introduction of linear models. Today many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models. This teaching method has two advantages: all statistical tests in a course can be presented under the same unifying framework simplifying things; second linear models can be expressed as lines over squared paper replacing any equation with a drawing. This book explains how and why statistics works without using a single equation just lines and squares over grid paper. The reader will have the opportunity to work through the examples and compute sums of squares by just drawing and counting and finally evaluating whether observed differences are statistically significant by using the tables provided. Intended for students scientists and those with little prior knowledge of statistics this book is for all with simple and clear examples computations and drawings helping the reader to not only do statistical tests but also understand statistics. | A Pen and Paper Introduction to Statistics

GBP 31.99
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Simulation for Designing Clinical Trials A Pharmacokinetic-Pharmacodynamic Modeling Perspective

Pressure and Temperature Well Testing

Pressure and Temperature Well Testing

The book comprises two parts: Pressure and Flow Well Testing (Part I) and Temperature Well Testing (Part II) and contains numerous authors’ developments. Due to the similarity in Darcy’s and Fourier’s laws the same differential diffusivity equation describes the transient flow of incompressible fluid in porous medium and heat conduction in solids. Therefore it is reasonable to assume that the techniques and data processing procedures of pressure well tests can be applied to temperature well tests. The book presents new methods to determine the formation of permeability and skin factors from tests conducted in simulated wells designing interference well tests processing constant bottom-hole pressure tests estimation of the formation temperature and geothermal gradients from temperature surveys and logs in-situ determination of the formation thermal conductivity and contact thermal resistance of boreholes temperature regime of boreholes (cementing of production liners) and the recovery of thermal equilibrium in deep and superdeep wells. Processing and analysis of pressure and geothermal data are shown on numerous field examples from different regions of the world. The book is intended for students engineers and researchers in the field of hydrocarbon geophysics and geology groundwater searching and exploitation and subsurface environment examination. It will be also useful for specialists studying pressure and temperature in parametric deep and superdeep wells. | Pressure and Temperature Well Testing

GBP 59.99
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