Analysis of Questionnaire Data with R


Author: Bruno Falissard
Publisher: CRC Press
ISBN: 1439817669
Category: Mathematics
Page: 280
View: 6999
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While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data. More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results. Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.

Modern Analysis of Customer Surveys

with Applications using R
Author: Ron S. Kenett,Silvia Salini
Publisher: John Wiley & Sons
ISBN: 1119961386
Category: Business & Economics
Page: 352
View: 2119
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Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a survey. Key features: Provides an integrated, case-studies based approach to analysing customer survey data. Presents a general introduction to customer surveys, within an organization’s business cycle. Contains classical techniques with modern and non standard tools. Focuses on probabilistic techniques from the area of statistics/data analysis and covers all major recent developments. Accompanied by a supporting website containing datasets and R scripts. Customer survey specialists, quality managers and market researchers will benefit from this book as well as specialists in marketing, data mining and business intelligence fields.

Statistical Analysis of Questionnaires

A Unified Approach Based on R and Stata
Author: Francesco Bartolucci,Silvia Bacci,Michela Gnaldi
Publisher: CRC Press
ISBN: 146656850X
Category: Mathematics
Page: 328
View: 8245
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Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing. The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning. Stata and R software codes are included for each method. To enhance comprehension, the book employs real datasets in the examples and illustrates the software outputs in detail. The datasets are available on the authors’ web page.

Behavioral Research Data Analysis with R


Author: Yuelin Li,Jonathan Baron
Publisher: Springer Science & Business Media
ISBN: 9781461412380
Category: Social Science
Page: 245
View: 4155
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This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research.

Die Prinzipien des Erfolgs


Author: Ray Dalio
Publisher: FinanzBuch Verlag
ISBN: 3960922175
Category: Self-Help
Page: 550
View: 9670
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Seine Firma Bridgewater Associates ist der größte Hedgefonds der Welt, er selbst gehört zu den Top 50 der reichsten Menschen auf dem Planeten: Ray Dalio. Seit 40 Jahren führt er sein Unternehmen so erfolgreich, dass ihn Generationen von Nachwuchsbankern wie einen Halbgott verehren. Mit "Die Prinzipien des Erfolgs" erlaubt er erstmals einen Blick in seine sonst so hermetisch abgeriegelte Welt. Seine Beobachtungen aus dem Geschäftsleben hielt Ray Dalio schon als junger Unternehmer in einem Notizbuch fest. Das war die Geburtsstunde seiner gut 200 "Prinzipien", die mit diesem Buch erstmals gebündelt vorliegen und kaum weniger als die Essenz des geradezu unheimlichen Erfolgs von Ray Dalio und seiner Firma darstellen. Kern dieser Prinzipien ist eine stetige Verbesserung durch radikale Transparenz und Wahrhaftigkeit, eine Art "Ideen-Meritokratie ", also eine Atmosphäre, in der sich die besten Ideen durchsetzen. Die einzigartigen Prinzipien, mithilfe derer jeder den Weg des Erfolgs einschlagen kann, und die mitunter harten Lektionen, die ihn sein einzigartiges System errichten ließen, hat Ray Dalio auf eine bisher noch nie dagewesene, unkonventionelle Weise zusammengetragen.

Datenanalyse mit Python

Auswertung von Daten mit Pandas, NumPy und IPython
Author: Wes McKinney
Publisher: O'Reilly
ISBN: 3960102143
Category: Computers
Page: 542
View: 8956
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Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.

Introduction to Data Analysis with R for Forensic Scientists


Author: James Michael Curran
Publisher: CRC Press
ISBN: 9781420088274
Category: Law
Page: 331
View: 4052
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Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research. Using traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers: A refresher on basic statistics and an introduction to R Considerations and techniques for the visual display of data through graphics An overview of statistical hypothesis tests and the reasoning behind them A comprehensive guide to the use of the linear model, the foundation of most statistics encountered An introduction to extensions to the linear model for commonly encountered scenarios, including logistic and Poisson regression Instruction on how to plan and design experiments in a way that minimizes cost and maximizes the chances of finding differences that may exist Focusing on forensic examples but useful for anyone working in a laboratory, this volume enables researchers to get the most out of their experiments by allowing them to cogently analyze the data they have collected, saving valuable time and effort.

Reguläre Ausdrücke


Author: Jeffrey E. F. Friedl
Publisher: O'Reilly Germany
ISBN: 3897217902
Category: Computers
Page: 556
View: 2444
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Reguläre Ausdrücke sind ein leistungsstarkes Mittel zur Verarbeitung von Texten und Daten. Wenn Sie reguläre Ausdrücke noch nicht kennen, wird Ihnen dieses Buch eine ganz neue Welt eröffnen. Aufgrund der ausgesprochen detaillierten und tiefgründigen Behandlung des Themas ist dieses Buch aber auch für Experten eine wahre Trouvaille. Die neue Auflage dieses anerkannten Standardwerks behandelt jetzt auch die Unterstützung regulärer Ausdrücke in PHP sowie Suns java.util.regex. Der klare und unterhaltsame Stil des Buchs hat schon Tausenden von Programmierern das an sich trockene Thema nähergebracht, und mit den vielen Beispielen zu Problemen aus dem Programmieralltag ist Reguläre Ausdrücke eine praktische Hilfe bei der täglichen Arbeit. Reguläre Ausdrücke sind überall Sie sind standardmäßig in Perl, PHP, Java, Python, Ruby, MySQL, VB.NET und C# (und allen Sprachen des .NET-Frameworks) sowie anderen Programmiersprachen und Werkzeugen eingebaut. Dieses Buch geht detailliert auf die Unterschiede und Gemeinsamkeiten bei der Behandlung regulärer Ausdrücke in diesen Sprachen und Werkzeugen ein. Besonders ausführlich werden die Regex-Features von Perl, Java, PHP und .NET behandelt. Reguläre Ausdrücke sind mächtig Reguläre Ausdrücke sind sehr leistungsfähig und flexibel. Dennoch bleibt ihre Anwendung oft unter ihren Möglichkeiten. Mit regulären Ausdrücken können Sie komplexe und subtile Textbearbeitungsprobleme lösen, von denen Sie vielleicht nie vermutet hätten, daß sie sich automatisieren lassen. Reguläre Ausdrücke ersparen Ihnen Arbeit und Ärger, und viele Probleme lassen sich mit ihnen auf elegante Weise lösen. Reguläre Ausdrücke sind anspruchsvoll Was in der Hand von Experten eine sehr nützliche Fähigkeit ist, kann sich als Stolperstein für Ungeübte herausstellen. Dieses Buch zeigt einen Weg durch das unwägbare Gebiet und hilft Ihnen, selbst Experte zu werden. Wenn Sie die regulären Ausdrücke beherrschen, werden sie zu einem unverzichtbaren Teil Ihres Werkzeugkastens. Sie werden sich fragen, wie Sie je ohne sie arbeiten konnten.

SPSS 22

Einführung in die moderne Datenanalyse
Author: Achim Bühl
Publisher: N.A
ISBN: 9783868942491
Category: SPSS (Computer system)
Page: 1055
View: 8686
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Zeitreihenmodelle


Author: Andrew C. Harvey
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3486786741
Category: Business & Economics
Page: 396
View: 3263
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Gegenstand des Werkes sind Analyse und Modellierung von Zeitreihen. Es wendet sich an Studierende und Praktiker aller Disziplinen, in denen Zeitreihenbeobachtungen wichtig sind.

Health Information Science

Third International Conference, HIS 2014, Shenzhen, China, April 22-23, 2014, Proceedings
Author: Yanchun Zhang,Guiqing Yao,Jing He,Lei Wang,Neil R. Smalheiser,Xiaoxia Yin
Publisher: Springer
ISBN: 3319062697
Category: Medical
Page: 282
View: 9020
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This book constitutes the refereed proceedings of the Third International Conference on Health Information Science, HIS 2014, held in Shenzhen, China, in April 2014. The 29 full papers presented were carefully reviewed and selected from 61 submissions. They cover a wide range of topics in health information sciences and systems that support the health information management and health service delivery. They deal with medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyse, and optimize the use of information in the health domain; data management, data mining, and knowledge discovery, all of which play a key role in the decision making, management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer-aided diagnosis; and development of new architectures and applications for health information systems.

Modeling Techniques in Predictive Analytics with Python and R

A Guide to Data Science
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Category: Computers
Page: 448
View: 2784
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Issues in Healthcare Management, Economics, and Education: 2011 Edition


Author: N.A
Publisher: ScholarlyEditions
ISBN: 1464965447
Category: Medical
Page: 879
View: 3619
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Issues in Healthcare Management, Economics, and Education: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Healthcare Management, Economics, and Education. The editors have built Issues in Healthcare Management, Economics, and Education: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Healthcare Management, Economics, and Education in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Healthcare Management, Economics, and Education: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

The Natural History of Alcoholism Revisited


Author: George E. VAILLANT
Publisher: Harvard University Press
ISBN: 0674044568
Category: Psychology
Page: 462
View: 9953
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In this updated version of his landmark study on alcoholism, George Vaillant returns to the same subjects, but with the perspective gained from fifteen years of further follow-up.

Diagnostische Kompetenz von Lehrkräften

Theoretische und methodische Weiterentwicklungen
Author: Anna Südkamp,Anna-Katharina Praetorius
Publisher: Waxmann Verlag
ISBN: 3830985967
Category: Psychology
Page: 288
View: 9335
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Diagnostische Kompetenz gilt als zentraler Aspekt der Lehrerprofessionalität: Nur wenn Lehrkräfte die Lernvoraussetzungen ihrer Schülerinnen und Schüler kennen, können sie ihren Unterricht optimal an diese Voraussetzungen anpassen. Dieses Buch gibt einen Überblick über den aktuellen Stand der Forschung zum Thema diagnostische Kompetenz und stellt Ansätze zu ihrer Weiterentwicklung vor. Kern des Buchs ist ein umfassendes und differenziertes Arbeitsmodell der diagnostischen Kompetenz, das in zukünftiger Forschung als theoretische Grundlage genutzt werden kann. Darüber hinaus werden Herausforderungen bei der Erfassung diagnostischer Kompetenz benannt sowie innovative Methoden zur Analyse der Urteilsakkuratheit von Lehrkräften vorgestellt. Verschiedene Ansätze zur Förderung diagnostischer Kompetenz werden ebenfalls ausführlich behandelt. Für das Buch konnten zahlreiche Wissenschaftlerinnen und Wissenschaftler mit Expertise im Themengebiet gewonnen werden. Die Idee zum Buch und ein Großteil der Inhalte sind im Rahmen des von der Deutschen Forschungsgemeinschaft (DFG) geförderten wissenschaftlichen Netzwerks zur diagnostischen Kompetenz von Lehrkräften (NeDiKo) entstanden.

Grounded theory

Strategien qualitativer Forschung
Author: Barney G. Glaser,Anselm L. Strauss,Axel T. Paul
Publisher: N.A
ISBN: 9783456849065
Category:
Page: 278
View: 3704
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Der Klassiker über den qualitativen Forschungsansatz der "Grounded Theory", geschrieben von den Entwicklern dieser Methode "Obwohl unser Buch sich in erster Linie an Soziologen richtet, glauben wir, dass es jedem nutzen kann, der daran interessiert ist, soziale Phänomene zu untersuchen politischer, pädagogischer, wirtschaftlicher, industrieller oder welcher Art auch immer." In der Tat ist "Grounded Theory" quer durch die wissenschaftlichen Disziplinen zum Standardbegriff der qualitativen Sozialforschung ge - worden. Die inzwischen zum Klassiker avancierte Arbeit von Glaser und Strauss eröffnet eine lehrbare und auch lernbare Forschungsstrategie. Das Konzept bietet eine Antwort auf das Problem, die oft schmerzlich empfundene Lücke zwischen empirischer Forschung und Theorie zu schliessen.

Understanding Nursing Research

Building an Evidence-Based Practice
Author: Nancy Burns,Susan K. Grove
Publisher: Elsevier Health Sciences
ISBN: 1437726550
Category: Medical
Page: 592
View: 9730
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Learn how to evaluate and apply research with the #1 nursing research book! Understanding Nursing Research: Building an Evidence-Based Practice is known for its authoritative content, a time-tested step-by-step approach, and abundant use of research examples. With improved clarity and readability, the new edition strengthens its focus on evidence-based practice to better demonstrate how the steps of the research process relate to evidence-based nursing. Written by two of the leaders in the field of nursing research, Nancy Burns and Susan K. Grove, this full-color text offers unique insights into understanding, appraising, and applying published research to evidence-based practice. Authoritative content is written by two of the true pioneers in nursing research, who offer unique, first-hand insights into the field. Research examples provide practice in working with published studies, with many of the examples including Critical Appraisal and Implications for Practice sections. A clear, step-by-step organization introduces the research process and demonstrates how this systematic framework relates to evidence-based practice. An expanded emphasis on evidence-based practice helps you develop skills in studying and appraising published research, so you are prepared for your role in working with research evidence. Enhanced coverage of qualitative research allows prepares you to approach research questions and clinical questions with an unbiased view of the researcher's methodology. Two different appraisal processes are included: A traditional in-depth critical appraisal process prepares you for graduate-level work in research. A concise, practice-focused research appraisal process equips you for quick and accurate evaluation of the applicability of research findings to clinical practice. Updated research examples prepare you for evidence-based practice by using the physiologic conditions and hospitalized patients seen in clinicals.

Evaluation of the 1992 NALS background survey questionnaire an analysis of uses with recommendations for revisions


Author: N.A
Publisher: DIANE Publishing
ISBN: 1428926542
Category:
Page: N.A
View: 6004
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Qualitative Data Analysis with NVivo


Author: Patricia Bazeley,Kristi Jackson
Publisher: SAGE Publications Limited
ISBN: 1446281418
Category: Social Science
Page: 328
View: 3205
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This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples. Practical, clear and focused the book effectively shows how NVivo software can accommodate and assist analysis across a wide range of research questions, data types, perspectives and methodologies. It sets out: - The power and flexibility of the NVivo software - How best to use NVivo at each stage in your research project - Examples from the authors' own research and the sample data that accompanies the software, supplemented with vignettes drawn from across the social sciences - Annotated screen shots - A website with links to data, sample projects, supplementary/updated instructions, and SAGE journal content This second edition contains new chapters on handling a literature review, visualizing data, working in mixed methods and social media datasets, and approaching NVivo as a team. An insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.

Data Analysis and Graphics Using R

An Example-based Approach
Author: John Maindonald,John Braun
Publisher: Cambridge University Press
ISBN: 1139460536
Category: Computers
Page: N.A
View: 909
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Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.