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Step-by-Step Guide to Applying the Rasch Model Using R
This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables. Although the focus is on simple R code, the book provides updated guidance through the point-and-click menus of BlueSky Statistics software. The book covers all Rasch models frequently used in social sciences, from the Simple Rasch model to the Rating Scale, Partial Credit, and Many-Facets Rasch models. Using a pragmatic approach to model-data fit, this book offers helpful practical examples to investigate Rasch model assumptions. In addition to traditional Rasch model approaches, it introduces the Rasch model as a special case of a Generalized Mixed Effects Model. Readers will also benefit from the online support material which includes all the code used in the book in downloadable and useable files. It also provides a comprehensive guide to R programming and practical guidance on using BlueSky Statistics software's point-and-click menus. This dual approach enables readers to experiment with data analysis using the provided data sets, enhancing their understanding and application of statistical concepts. It will be a valuable resource for both students and researchers who want to use Rasch models in their research.
R 2,931.00
Step-by-Step Guide to Applying the Rasch Model Using R
This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables. Although the focus is on simple R code, the book provides updated guidance through the point-and-click menus of BlueSky Statistics software. The book covers all Rasch models frequently used in social sciences, from the Simple Rasch model to the Rating Scale, Partial Credit, and Many-Facets Rasch models. Using a pragmatic approach to model-data fit, this book offers helpful practical examples to investigate Rasch model assumptions. In addition to traditional Rasch model approaches, it introduces the Rasch model as a special case of a Generalized Mixed Effects Model. Readers will also benefit from the online support material which includes all the code used in the book in downloadable and useable files. It also provides a comprehensive guide to R programming and practical guidance on using BlueSky Statistics software's point-and-click menus. This dual approach enables readers to experiment with data analysis using the provided data sets, enhancing their understanding and application of statistical concepts. It will be a valuable resource for both students and researchers who want to use Rasch models in their research.
R 9,433.04
Applying the Rasch Model
Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background.Highlights of the new edition include: More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings. Greater emphasis on the use of R packages; readers can download the R code from the Routledge website. Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4). A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6). Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10). Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.
R 7,636.92
Applying the Rasch Model
Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background.Highlights of the new edition include: More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings. Greater emphasis on the use of R packages; readers can download the R code from the Routledge website. Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4). A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6). Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10). Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.
R 2,674.00
Introduction to the Rasch Model with Examples in R
An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R.It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical concepts for readers who want to gain a deeper understanding. Its worked examples in R demonstrate how to apply the methods to real-world examples and how to interpret the resulting output.In addition to motivating and presenting the Rasch model, the book covers different methods for parameter estimation and for assessing fit and differential item functioning (DIF). While focusing on the Rasch model, it also addresses a variety of other dichotomous and polytomous Rasch and item response theory (IRT) models, such as two-parameter logistic (2PL) and Partial Credit models, and extensions, including mixture Rasch models and computerized adaptive testing (CAT).Theory is presented in a self-contained way. All necessary mathematical and statistical background is contained in the chapters and appendices. The book also provides detailed, step-by-step instructions for getting started with R and using the eRm, mirt, TAM and rstan packages for fitting Rasch models.
R 3,437.00
Introduction to the Rasch Model with Examples in R
An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R.It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical concepts for readers who want to gain a deeper understanding. Its worked examples in R demonstrate how to apply the methods to real-world examples and how to interpret the resulting output.In addition to motivating and presenting the Rasch model, the book covers different methods for parameter estimation and for assessing fit and differential item functioning (DIF). While focusing on the Rasch model, it also addresses a variety of other dichotomous and polytomous Rasch and item response theory (IRT) models, such as two-parameter logistic (2PL) and Partial Credit models, and extensions, including mixture Rasch models and computerized adaptive testing (CAT).Theory is presented in a self-contained way. All necessary mathematical and statistical background is contained in the chapters and appendices. The book also provides detailed, step-by-step instructions for getting started with R and using the eRm, mirt, TAM and rstan packages for fitting Rasch models.
R 9,955.55
Applying the Rasch Model and Structural Equation Modeling to Higher Education
This book introduces the fundamentals of the technology satisfaction model (TSM), supporting readers in applying the Rasch model and structural equation modeling (SEM) – a multivariate technique – to higher education (HE) research. User satisfaction is traditionally measured along a single dimension. However, the TSM includes digital technologies for teaching, learning and research across three dimensions: computer efficacy, perceived ease of use and perceived usefulness. Establishing relationships among these factors is a challenge. Although commonly used in psychology to trace relationships, Rasch and SEM approaches are rarely used in educational technology or library and information science. This book, therefore, shows that combining these two analytical tools offers researchers better options for measurement and generalisation in HE research. This title presents theoretical and methodological insights of use to researchers in HE.
R 6,647.84
Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
R 2,564.00
Statistics in Psychology Using R and SPSS
Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problemStipulation of the precision requirementsSelecting the statistical model for the planning and analysisThe (optimal) design of the experiment or surveyPerforming the experiment or the surveyStatistical analysis of the observed resultsInterpretation of the results.
R 3,516.00
Guide to Doing Statistics in Second Language Research Using SPSS and R
A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics.For more information and materials, please visit www.routledge.com/cw/larson-hall.
R 10,046.34
Guide to Doing Statistics in Second Language Research Using SPSS and R
A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics.For more information and materials, please visit www.routledge.com/cw/larson-hall.
R 5,727.97
Step-by-Step Guide to Exploratory Factor Analysis with SPSS
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots and code from SPSS and recommends evidence-based best-practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
R 9,307.20
Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results.The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).
R 3,568.30
Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results.The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).
R 2,784.64
Step-by-Step Guide to Exploratory Factor Analysis with SPSS
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots and code from SPSS and recommends evidence-based best-practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
R 2,564.00
Step-by-Step Guide to Exploratory Factor Analysis with Stata
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
R 9,749.87
Step-by-Step Guide to Exploratory Factor Analysis with Stata
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
R 2,564.00
Introduction to Nonparametric Statistics for the Biological Sciences Using R
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each testTo introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.
R 3,512.88
Model-Based Testing Essentials - Guide to the ISTQB Certified Model-Based Tester
Provides a practical and comprehensive introduction to the key aspects of model-based testing as taught in the ISTQB® Model-Based Tester—Foundation Level Certification Syllabus This book covers the essentials of Model-Based Testing (MBT) needed to pass the ISTQB® Foundation Level Model-Based Tester Certification. The text begins with an introduction to MBT, covering both the benefits and the limitations of MBT. The authors review the various approaches to model-based testing, explaining the fundamental processes in MBT, the different modeling languages used, common good modeling practices, and the typical mistakes and pitfalls. The book explains the specifics of MBT test implementation, the dependencies on modeling and test generation activities, and the steps required to automate the generated test cases. The text discusses the introduction of MBT in a company, presenting metrics to measure success and good practices to apply. Provides case studies illustrating different approaches to Model-Based TestingIncludes in-text exercises to encourage readers to practice modeling and test generation activitiesContains appendices with solutions to the in-text exercises, a short quiz to test readers, along with additional information Model-Based Testing Essentials – Guide to the ISTQB® Certified Model-Based Tester – Foundation Level is written primarily for participants of the ISTQB® Certification: software engineers, test engineers, software developers, and anybody else involved in software quality assurance. This book can also be used for anyone who wants a deeper understanding of software testing and of the use of models for test generation.
R 3,157.00
Practitioner's Guide to Stochastic Frontier Analysis Using Stata
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
R 4,762.69
Conceptual Guide to Statistics Using SPSS
Bridging an understanding of Statistics and SPSS."The text is written in a user-friendly language and illustrates concepts that would otherwise be confusing to beginning students and those with limited computer skills." -Justice Mbizo, University of West FloridaThis unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from a traditional statistics textbook with the computational steps and output from SPSS. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, clearly linking how the SPSS procedure and output connect back to the conceptual underpinnings of the test. By drawing clear connections between the theoretical and computational aspects of statistics, this engaging text aids students′ understanding of theoretical concepts by teaching them in a practical context.
R 3,249.81
Practitioner's Guide to Stochastic Frontier Analysis Using Stata
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
R 2,664.94
R 367.00
R 577.00
R 577.00
User's Manual to the PMBOK Guide
The must-have manual to understand and use the latest edition of the Fifth Edition The professional standard in the field of project management, A Guide to the Project Management Body of Knowledge (PMBOK® Guide—Fifth Edition) published by the Project Management Institute (PMI®) serves as the ultimate resource for professionals and as a valuable studying and training device for students taking the PMP® Exam. A User's Manual to the PMBOK® Guide takes the next logical step to act as a true user's manual. With an accessible format and easy-to-understand language, it helps to not only distill essential information contained in the PMBOK® Guide—Fifth Edition, but also fills an educational gap by offering instruction on how to apply its various tools and techniques. This edition of the User's Manual: Defines each project management process in the PMBOK® Guide—Fifth Edition, describes the intent, and discusses the individual ITTOs (inputs, tools and techniques, and outputs)Features examples, handy tips, and sample forms to supplement learningContains a data flow diagram of each process in the PMBOK® Guide—Fifth Edition to show how information is distributedIs updated to provide deeper coverage of stakeholder management and to include new processes for scope, schedule, cost, and stakeholder management The User's Manual enables you to put the PMBOK Guide—Fifth Edition to work on your projects. It will help you implement the processes described in the PMBOK Guide—Fifth Edition and apply the tools and techniques to help make your projects successful. Thorough in coverage and rich in content, it is a worthy companion to augment the important strategies laid out in the PMBOK® Guide—Fifth Edition, and the one book that aspiring or professional project managers should never be without. Fully updated to align with A Guide to the Project Management Body of Knowledge (PMBOK® Guide)–Fifth EditionDescribes how to apply tools and techniques for projects and how to create process outputsPresents information by process groupExpands upon the PMBOK® Guide with information on the sponsor's role and planning loopsIntegrates and describes interpersonal skills into the process where they are identified (PMBOK, PMI, PMP and Project Management Professional are registered marks of the Project Management Institute, Inc.)
R 3,442.00
Strengths-Focused Guide to Leadership, The
This effective guide shows you how to identify and develop the strengths of both yourself and your people, and ensure that talent is spotted and nurtured at every step. Strengths-Focused Leadership is the only step-by-step practical guide on the market to identifying and enhancing people’s innate strengths - which leads to higher levels of energy, job satisfaction and engagement. Rather than relying on online assessment tools, this book shows you how to discover your strengths yourself and how to use this process to assist others. The authors have used their executive coaching backgrounds to build a practical model for using and applying the strengths focus. The MORE model focuses on 4 key elements: Myself – how do I identify and develop my own strengths and overcome my weaknesses? Others – how do I help my people do the same? Regular conversations – how do I ensure that ‘strengths thinking’ becomes part of business as usual? Employee processes – how do I apply a strengths focus to recruitment, induction and performance? Broken into 3 chapters on each element, the Model teaches you how to use the strengths focus to tackle key business challenges – collaboration, change and strategy.
R 755.73
Resource Management and Capacity Planning Handbook: A Guide to Maximizing the Value of Your Limited People Resources
THE DEFINITIVE GUIDE TO MAXIMIZING LIMITED RESOURCES TO INNOVATE AND GROWTrying to accomplish too much with too few resources has become almost customary in business today. More often than not, though, all that we "accomplish" is delayed projects, mass confusion, and missed opportunities--not the achievement of business goals.The Resource Management and Capacity Planning Handbook helps you tackle the critical challenges of resource management and capacity planning head on by providing a proven tool for making the leap from chaos tocontrol: the Capacity Quadrant, a framework for addressing visibility, prioritization, optimization of existing resources, and integrated planning and governance.The Resource Management and Capacity Planning Handbook demystifies the complexities of resource capacity and demand management and offers clear ways for maximizing your limited resources to drive business growth and sustainability.This groundbreaking guide includes:The latest benchmark data from a comprehensive study of resource managementCase studies from organizations that haveused the book's methods with great successTools for overcoming common barriers and making decisions involving time capture, resource assignments, and competing prioritiesRecommendations on ownership of the organization'sresource management and capacity planning functionsConsiderations for addressing the human side of resource management and capacity planningThe Resource Management and Capacity Planning Handbook gives you the information, insight, and proven methods to take your company where it has never been before.PRAISE FOR THE RESOURCE MANAGEMENT AND CAPACITY PLANNING HANDBOOK"There are lots of leadership books, scores of human resources books, and plenty of project and portfolio management books. This is the first book dedicated to what is essentially the drivetrain of organizations--the effective use of its people toward its most important activities. This is Manas's best and most ambitious book yet." -- Judith E. Glaser, CEO, Benchmark Communications, Inc.; Chairman of The Creating WE Institute; and author of the bestselling Conversational Intelligence"Jerry's book and the Capacity Quadrant model he outlines give you a realistic view of your workforce and an approach to maximizing the 'people power' in your organization that's easy to understand and apply. It could very well help transform your company and make you a hero in the process!" -- Dave Garrett, President and CEO, ProjectManagement.com"Unlike lifeless products, people skills and capacity are difficult to measure and vary widely between 'good' days and 'bad' days. Manas steps nimbly through this minefield with solid evidence and practical advice--all laced together in an easy-to-read style." -- R. Max Wideman FCSCE, FEIC, FICE, FPMI"It didn't take me too long into reading when I realized how much we really needed this book. I wish we had it when we started implementing Resource Capacity Planning and Investment Planning.
R 2,040.00
R 837.63
R 577.00
Practical Guide to the of the Wiring Regulations
This book covers all the basics of inspection and testing and clearly explains all the legal requirements. It not only tells you what tests are needed but also describes all of them step-by-step with the help of colour photos. Sample forms show how to verify recorded test results and how to certify and fill in the required documentation. The book is also packed with handy advice on how to avoid and solve common problems encountered on the job.With its focus on the practical side of the actual inspection and testing rather than just the requirements of the regulations, this book is ideal for students, experienced electricians and those working in allied industries, such as plumbers and heating specialists, kitchen and bathroom fitters, alarm installers and others, whether they are working on domestic or industrial installations.All the theory required for passing the City & Guilds Level 3 Certificate in Inspection, Testing and Certification of Electrical Installations (2391-01) is covered. The book also includes sample questions and scenarios as encountered in the exams. Questions encourage readers to research answers in the On-Site Guide, as required in the exams for Part P Competent Person courses from EAL, NICEIC, NAPIT, BPEC and others. Model answers are provided for all questions. The book will also help prepare students on City & Guilds 2330 Level 3 courses, NVQs and apprenticeship programmes for their practical inspection and testing exams.Chris Kitcher is an Electrical Installation lecturer at Central Sussex College and has 45 years of experience in the electrical industry.
R 2,711.00
R 577.00
