Essential First Steps to Data Analysis

Scenario-Based Examples Using SPSS
Author: Carol S. Parke
Publisher: SAGE
ISBN: 1412997518
Category: Computers
Page: 265
View: 2247
Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the "story" of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis.

Data Collection and Analysis

Author: Roger Sapsford,Victor Jupp
Publisher: SAGE
ISBN: 0761943625
Category: Social Science
Page: 332
View: 9751
In simple and non-technical terms, this text illustrates a wide range of techniques and approaches used in social research projects.

Handbook of Statistical Analysis and Data Mining Applications

Author: Robert Nisbet,John Elder,Gary Miner
Publisher: Academic Press
ISBN: 9780080912035
Category: Mathematics
Page: 864
View: 1539
The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

Python Data Science Essentials

Author: Alberto Boschetti,Luca Massaron
Publisher: Packt Publishing Ltd
ISBN: 1785287893
Category: Computers
Page: 258
View: 7634
If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.

Datenanalyse mit Python

Auswertung von Daten mit Pandas, NumPy und IPython
Author: Wes McKinney
Publisher: O'Reilly
ISBN: 3960102143
Category: Computers
Page: 542
View: 5089
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.

First Steps In Research and Statistics

A Practical Workbook for Psychology Students
Author: Dennis Howitt,Duncan Cramer
Publisher: Routledge
ISBN: 1134635494
Category: Psychology
Page: 272
View: 3578
First Steps in Research and Statistics is a new, very accessible approach to learning about quantitative methods. No previous knowledge or experience is assumed and every stage of the research process is covered. Key topics include: * Formulating your research questions * How to choose the right statistical test for your research design * Important research issues, such as questionnaire design, ethics, sampling, reliability and validity * Conducting simple statistics to explore relationships and differences in your data * Using statistics to explore relationships and differences in your data * Writing up your research report and presenting statistics Simple and helpful worksheets and flow diagrams guide you through the research stages. Each chapter contains exercises with answers to check whether you've understood.

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Author: Tailen Hsing,Randall Eubank
Publisher: John Wiley & Sons
ISBN: 0470016914
Category: Mathematics
Page: 480
View: 6922
Functional data is data in the form of curves that is becoming a popular method for interpreting scientific data. Statistical Analysis of Functional Data provides an authoritative account of function data analysis covering its foundations, theory, methodology, and practical implementation. It also contains examples taken from a wide range of disciplines, including finance, medicine, and psychology. The book includes a supporting Web site hosting the real data sets analyzed in the book and related software. Statistical researchers or practitioners analyzing functional data will find this book useful.

Practical work in undergraduate science

Author: E. R. Davies
Publisher: Heinemann Educational Books
ISBN: 9780435695828
Category: Science
Page: 201
View: 5957

From Data and Information Analysis to Knowledge Engineering

Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005
Author: Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang Gaul
Publisher: Springer Science & Business Media
ISBN: 9783540313137
Category: Language Arts & Disciplines
Page: 761
View: 5336
This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.

Analysing Economic Data

A Concise Introduction
Author: T. Mills
Publisher: Springer
ISBN: 1137401907
Category: Business & Economics
Page: 297
View: 7687
Covers the key issues required for students wishing to understand and analyse the core empirical issues in economics. It focuses on descriptive statistics, probability concepts and basic econometric techniques and has an accompanying website that contains all the data used in the examples and provides exercises for undertaking original research.

Essential Ethnographic Methods

Observations, Interviews, and Questionnaires
Author: Bruce G. Carruthers,Stephen L. Schensul,Jean J. Schensul,Margaret Diane LeCompte,Margaret Diane LeCompte, M.A., Ph.D.
Publisher: Rowman Altamira
ISBN: 9780761991441
Category: Social Science
Page: 318
View: 6625
Essential Ethnographic Methods akes a mixed methods approach to introducing the fundamental, face-to-face data collection tools that ethnographers and other qualitative researchers use.

Advances in Intelligent Data Analysis

4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings
Author: International Data Analysis (IDA). International conference (
Publisher: Springer Science & Business Media
ISBN: 3540425810
Category: Business & Economics
Page: 384
View: 4438
Wewouldalsoliketoexpressourgratitudetothesponsors:Fundac˜ ¸ao paraaCiˆenciaeaTecnologia,Minist´eriodaCiˆenciaedaTecnologia,Faculdade deCiˆenciaseTecnologia,UniversidadeNovadeLisboa,Funda¸c˜aoCalousteG- benkianandIPEInvestimentoseParticipac˜ ¸oesEmpresariais,S. A. September2001 FrankHo?mann DavidJ. Hand NiallAdams GabrielaGuimaraes DougFisher Organization IDA2001wasorganizedbythedepartmentofComputerScience,NewUniversity ofLisbon. ConferenceCommittee GeneralChair: DouglasFisher(VanderbiltUniversity,USA) ProgramChairs: DavidJ. Hand(ImperialCollege,UK) NiallAdams(ImperialCollege,UK) ConferenceChair: GabrielaGuimaraes(NewUniversityofLisbon,Portugal) PublicityChair: FrankH¨oppner(Univ. ofAppl. SciencesEmden,Germany) PublicationChair: FrankHo?mann(RoyalInstituteofTechnology,Sweden) LocalChair: FernandoMoura-Pires(UniversityofEvora,Portugal) AreaChairs: RobertaSiciliano(UniversityofNaples,Italy) ArnoSiebes(CWI,TheNetherlands) PavelBrazdil(UniversityofPorto,Portugal) ProgramCommittee NiallAdams(ImperialCollege,UK) PieterAdriaans(Syllogic,TheNetherlands) RussellAlmond(EducationalTestingService,USA) ThomasB¨ack(InformatikCentrumDortmund,Germany) RiccardoBellazzi(UniversityofPavia,Italy) MichaelBerthold(Tripos,USA) LiuBing(NationalUniversityofSingapore) PaulCohen(UniversityofMassachusetts,USA) PaulDarius(LeuvenUniversity,Belgium) FazelFamili(NationalResearchCouncil,Canada) DouglasFisher(VanderbiltUniversity,USA) KarlFroeschl(UniversityofVienna,Austria) AlexGammerman(RoyalHolloway,UK) AdolfGrauel(UniversityofPaderborn,Germany) GabrielaGuimaraes(NewUniversityofLisbon,Portugal) LawrenceO. Hall(UniversityofSouthFlorida,USA) FrankHo?mann(RoyalInstituteofTechnology,Sweden) AdeleHowe(ColoradoStateUniversity,USA) Klaus-PeterHuber(SASInstitute,Germany) DavidJensen(UniversityofMassachusetts,USA) JoostKok(LeidenUniversity,TheNetherlands) RudolfKruse(UniversityofMagdeburg,Germany) FrankKlawonn(UniversityofAppliedSciencesEmden,Germany) VIII Organization HansLenz(FreeUniversityofBerlin,Germany) DavidMadigan(Soliloquy,USA) RainerMalaka(EuropeanMediaLaboratory,Germany) HeikkiMannila(Nokia,Finland) FernandoMouraPires(UniversityofEvora,Portugal) SusanaNascimento(UniversityofLisbon,Portugal) WayneOldford(UniversityofWaterloo,Canada) AlbertPrat(TechnicalUniversityofCatalunya,Spain) PeterProtzel(TechnicalUniversityChemnitz,Germany) GiacomodellaRiccia(UniversityofUdine,Italy) RosannaSchiavo(UniversityofVenice,Italy) KaisaSere(AboAkademiUniversity,Finland) RobertaSiciliano(UniversityofNaples,Italy) RosariaSilipo(Nuance,USA) FloorVerdenius(ATO-DLO,TheNetherlands) StefanWrobel(UniversityofMagdeburg,Germany) HuiXiaoLiu(BrunelUniversity,UK) NevinZhang(HongKongUniversityofScienceandTechnology,HongKong) SponsoringInstitutions Fundac˜ ¸aoparaaCiˆenciaeaTecnologia,Minist´eriodaCiˆenciaedaTecnologia FaculdadedeCiˆenciaseTecnologia,UniversidadeNovadeLisboa Fundac˜ ¸aoCalousteGulbenkian IPEInvestimentoseParticipac˜ ¸oesEmpresariais,S. A. TableofContents TheFourthInternationalSymposiumonIntelligentData Analysis FeatureCharacterizationinScienti?cDatasets. . . . . . . . . . . . . . . . . . . . . . . . . 1 ElizabethBradley(UniversityofColorado),NancyCollins(University ofColorado),W. PhilipKegelmeyer(SandiaNationalLaboratories) RelevanceFeedbackintheBayesianNetworkRetrievalModel: AnApproachBasedonTermInstantiation. . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 LuisM. deCampos(UniversityofGranada),JuanM. Fernan ´ dez–Luna (UniversityofJa´en),JuanF. Huete(UniversityofGranada) GeneratingFuzzySummariesfromFuzzyMultidimensionalDatabases. . . . 24 AnneLaurent(Universit´ePierreetMarieCurie) AMixture-of-ExpertsFrameworkforLearningfromImbalancedData Sets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 AndrewEstabrooks(IBM),NathalieJapkowicz(UniversityofOttawa) PredictingTime-VaryingFunctionswithLocalModels. . . . . . . . . . . . . . . . . . 44 AchimLewandowski(ChemnitzUniversity),PeterProtzel(Chemn

Essential Programming for Linguistics

Author: Martin Weisser
Publisher: Edinburgh University Press
ISBN: 0748641831
Category: Computers
Page: 184
View: 6561
A gentle introduction to programming for students and researchers interested in conducting computer-based analysis in linguistics, this book is an ideal starting point for linguists approaching programming for the first time. Assuming no background knowledge of programming, the author introduces basic notions and techniques needed for linguistics programming and helps readers to develop their understanding of electronic texts.The book includes many examples based on diverse topics in linguistics in order to demonstrate the applicability of the concepts at the heart of programming. Practical examples are designed to help the reader to:*Identify basic issues in handling language data, including Unicode processing*Conduct simple analyses in morphology/morphosyntax, and phonotactics*Understanding techniques for matching linguistic patterns*Learn to convert data into formats and data structures suitable for linguistic analysis*Create frequency lists from corpus materials to gather basic descriptive statistics on texts*Understand, obtain and 'clean up' web-based data*Design graphical user interfaces for writing more efficient and easy-to-use analysis tools.Two different types of exercise help readers to either learn to interpret and understand illustrative sample code, or to develop algorithmic thinking and solution strategies through turning a series of instructions into sample programs. Readers will be equipped with the necessary tools for designing their own extended projects.Key Features:*Ideal introduction for students of linguistics attempting to process corpus materials or literary texts for dissertations, theses or advanced research work*Linguistic examples throughout the text clearly demonstrate the application of programming theory and techniques*Coverage ranging from basic to more complex topics and methodologies enables the reader to progress at their own pace*Two chapters on the advantages of modularity and associated issues provid

Essential Maths for Geoscientists

An Introduction
Author: Paul I. Palmer
Publisher: John Wiley & Sons
ISBN: 111852702X
Category: Science
Page: 224
View: 7496
Maths for Geoscientists is an accessible, student-friendly introduction to the essential mathematics required by those students taking degree courses within the Geosciences. Clearly structured throughout, this book carefully guides the student step by step through the mathematics they will encounter and will provide numerous applied examples throughout to enhance students understanding and to place each technique into context. Opening with a chapter explaining the need for studying mathematics within geosciences the book then moves on to cover algebra, equations, solutions, logarithms and exponentials, statistics and probability, trigonometry, vectors and calculus. The final chapter helps to bring it all together and provides the students with sample projects to test their knowledge. Worked applied examples are included in each chapter along with applied problem questions which are a mix of straightforward maths questions, word questions (developing maths to words), and more involved questions that involve the manipulation and interpretation of real and synthetic data.

Caring in Nursing Classics

An Essential Resource
Author: Marlaine C. Smith, PhD, RN, NEA-BC, FAAN,Marian C. Turkel, RN, PhD, NEA-BC, FAAN,Zane Robinson Wolf, PhD, RN, FAAN
Publisher: Springer Publishing Company
ISBN: 0826171125
Category: Medical
Page: 532
View: 459
"This very interesting book provides a good overview of the evolution of the art and practice of nursing...Recommended."--Choice: Current Reviews for Academic Libraries “This collected work by scholars Smith, Turkel, and Wolf stands as a classic indeed. It offers nursing and related fields a repository and living history of the evolution of nursing within a caring science paradigm over a 40-year span from foundational ideas and developments, to current work in education, research, and institutional/community practices of caring...[The work] sustains and advances knowledge of human caring to serve humanity.” From the Foreword by Jean Watson, PhD, RN, AHN- BC, FAAN Founder, Watson Caring Science Institute This is a core resource for nursing educators and students at all levels who seek fundamental perspectives on the art and science of caring. The text comprises 37 classic book chapters and journal articles written by leaders in the field and illuminate the evolution of the caring paradigm--from its beginnings as a philosophical/ethical/theoretical guide to nursing, to implications for the future development of caring science. Co-published with the Watson Caring Science Institute (WCSI), it will also be a primary resource for students attending WCSI programs and for in-service education programs, especially in hospitals with, or seeking, Magnet status. Each section features an introductory essay illuminating important concepts, followed by reflective questions appropriate for baccalaureate, master’s, and doctoral levels. Also included are multiple-choice questions, a variety of case studies, a digital teacher and student resource with PowerPoints for key ideas, and more. The book is organized into nine sections providing an in-depth analysis of the evolution of caring scholarship; systematic reviews of the concept of caring; theoretical perspectives, including conceptual orientations, middle-range theories, and grand theories; seminal research studies; research designs and methods; practice models for the integration of caring within contemporary hospital-based practice environments; caring in communities and for the environment; leadership and administrative issues with a focus on caring and economics; and the future of caring science. Key Features: Presents the seminal literature on caring Co-published with the Watson Caring Science Institute Provides reflective/critical thinking questions tailored to academic levels For use in baccalaureate, graduate, doctoral, and in-service education, and as a core resource for WCSI programs Is accompanied by a digital teacher and student guide (please contact [email protected] to request this content)

Analyzing Ecological Data

Author: Alain Zuur,Elena N. Ieno,Graham M. Smith
Publisher: Springer Science & Business Media
ISBN: 0387459723
Category: Science
Page: 672
View: 7297
This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from Guidance on software is provided in the book.

The Nurse Educator's Guide to Assessing Learning Outcomes

Author: Mary E. McDonald
Publisher: Jones & Bartlett Publishers
ISBN: 1449665969
Category: Medical
Page: 362
View: 4243
The new edition of this award winning text helps address the increased pressure that the NCLEX and other certification exams are placing on nursing students and faculty. The Nurse Educator’s Guide to Assessing Learning Outcomes, 2nd Edition guides classroom educators through the process of developing effective classroom exams and individual test items.

Handbook for developing watershed plans to restore and protect our waters

Author: N.A
Publisher: DIANE Publishing
ISBN: 1428904573
Page: N.A
View: 9384

Advances in Intelligent Data Analysis. Reasoning about Data

Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings
Author: Xiaohui Liu,Paul Cohen,Michael Berthold,England) IDA-97 (2nd : 1997 : London
Publisher: Springer Science & Business Media
ISBN: 9783540633464
Category: Business & Economics
Page: 620
View: 7550
This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

Applied Human Resource Management

Strategic Issues and Experiential Exercises
Author: Kenneth M. York
Publisher: SAGE
ISBN: 1412954916
Category: Business & Economics
Page: 411
View: 2297
Applied Human Resources Management is designed to give business students in-depth hands-on learning experiences that will help them practice the principles they are learning and develop the skills necessary when dealing with people in diverse settings and situations. The text: - covers critical issues in the effective management of human resources, which can be used for class discussions, or be given as homework problems, or used as essay questions on tests. - presents students with a situation where they can apply an HRM concept or principle to a new situation, which can be used as in-class exercises, or for self-study - provides experiential exercises, giving students an opportunity to learn by doing, which can be used again as in-class or out-of-class exercises