Download or read book EBOOK ADVANCED QUANTITATIVE DATA ANALYSIS written by Duncan Cramer and published by McGraw-Hill Education (UK). This book was released on 2003-07-16 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: *What do advanced statistical techniques do? *When is it appropriate to use them? *How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book: - concise and accessible introduction to calculating and interpreting advanced statistical techniques - use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique - succinct illustration of writing up the results of these analyses - minimum of mathematical, statistical and technical notation - annotated bibliography and glossary of key concepts Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.

Download or read book Advanced Quantitative Research Methods for Urban Planners written by Reid Ewing and published by Routledge. This book was released on 2020-03-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Quantitative Research Methods for Urban Planners provides fundamental knowledge and hands-on techniques about research, such as research topics and key journals in the planning field, advice for technical writing, and advanced quantitative methodologies. This book aims to provide the reader with a comprehensive and detailed understanding of advanced quantitative methods and to provide guidance on technical writing. Complex material is presented in the simplest and clearest way possible using real-world planning examples and making the theoretical content of each chapter as tangible as possible. Hands-on techniques for a variety of quantitative research studies are covered to provide graduate students, university faculty, and professional researchers with useful guidance and references. A companion to Basic Quantitative Research Methods for Urban Planners, Advanced Quantitative Research Methods for Urban Planners is an ideal read for researchers who want to branch out methodologically and for practicing planners who need to conduct advanced analyses with planning data.

Download or read book Advanced Data Analysis in Neuroscience written by Daniel Durstewitz and published by Springer. This book was released on 2017-09-15 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered. "Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function." Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego “This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. “ Bruno B. Averbeck

Download or read book Basic Quantitative Research Methods for Urban Planners written by Reid Ewing and published by Routledge. This book was released on 2020-02-24 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In most planning practice and research, planners work with quantitative data. By summarizing, analyzing, and presenting data, planners create stories and narratives that explain various planning issues. Particularly, in the era of big data and data mining, there is a stronger demand in planning practice and research to increase capacity for data-driven storytelling. Basic Quantitative Research Methods for Urban Planners provides readers with comprehensive knowledge and hands-on techniques for a variety of quantitative research studies, from descriptive statistics to commonly used inferential statistics. It covers statistical methods from chi-square through logistic regression and also quasi-experimental studies. At the same time, the book provides fundamental knowledge about research in general, such as planning data sources and uses, conceptual frameworks, and technical writing. The book presents relatively complex material in the simplest and clearest way possible, and through the use of real world planning examples, makes the theoretical and abstract content of each chapter as tangible as possible. It will be invaluable to students and novice researchers from planning programs, intermediate researchers who want to branch out methodologically, practicing planners who need to conduct basic analyses with planning data, and anyone who consumes the research of others and needs to judge its validity and reliability.

Download or read book Quantitative Data Analysis written by Donald J. Treiman and published by John Wiley & Sons. This book was released on 2014-01-30 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an accessible introduction to quantitative dataanalysis, concentrating on the key issues facing those new toresearch, such as how to decide which statistical procedure issuitable, and how to interpret the subsequent results. Each chapterincludes illustrative examples and a set of exercises that allowsreaders to test their understanding of the topic. The book, writtenfor graduate students in the social sciences, public health, andeducation, offers a practical approach to making sociological senseout of a body of quantitative data. The book also will be useful tomore experienced researchers who need a readily accessible handbookon quantitative methods. The author has posted stata files, updates and data sets athis websitehttp://tinyurl.com/Treiman-stata-files-data-sets.

Download or read book Advanced Quantitative Analysis written by Hobart Hurd Willard and published by . This book was released on 1950 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Introduction to Data Analysis written by Tiffany Bergin and published by SAGE. This book was released on 2018-10-15 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.

Download or read book Interpreting Quantitative Data with SPSS written by Rachad Antonius and published by SAGE. This book was released on 2003-01-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

Download or read book Hierarchical Linear Models written by Anthony S. Bryk and published by SAGE Publications, Incorporated. This book was released on 1992 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hierarchical Linear Models launches a new Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and use of hierarchical linear models (HLM) through rich, illustrative examples and lucid explanations. The presentation remains reasonably nontechnical by focusing on three general research purposes - improved estimation of effects within an individual unit, estimating and testing hypotheses about cross-level effects, and partitioning of variance and covariance components among levels. This innovative volume describes use of both two and three level models in organizational research, studies of individual development and meta-analysis applications, and concludes with a formal derivation of the statistical methods used in the book.

Download or read book Advanced Quantitative Analysis written by Hobart H. Willard and published by . This book was released on 1944 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Analysis written by Gérard Govaert and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.

Download or read book Quantitative Methods of Data Analysis for the Physical Sciences and Engineering written by Douglas G. Martinson and published by Cambridge University Press. This book was released on 2018-04-30 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as self-contained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes.

Download or read book Advanced Quantitative Data Analysis written by Duncan Cramer and published by . This book was released on 2003 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: What do advanced statistical techniques do? When is it appropriate to use them? How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast, the following features characterise this book: concise and accessible introduction to calculating and interpreting advanced statistical techniques; use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique; succinct illustration of writing up the results of these analyses; minimum of mathematical, statistical and technical notation; and, annotated bibliography and glossary of key concepts.; Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.

Download or read book Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences written by Michael J. Albers and published by John Wiley & Sons. This book was released on 2017-04-03 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.

Download or read book Primer for Data Analytics and Graduate Study in Statistics written by Douglas Wolfe and published by Springer Nature. This book was released on 2020-09-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

Download or read book Doing Your Research Project a Guide for First Time Researchers written by Judith Bell and published by McGraw-Hill Education (UK). This book was released on 2018-06-08 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: *Interested in purchasing Doing Your Research Project as a SmartBook? Visit https://connect2.mheducation.com/join/?c=bellwaters7e to register for access today* Step-by-step advice on completing an outstanding research project. This is the market-leading book for anyone conducting a research project, whether for the first time or as an experienced researcher honing their skills. Clear, concise and readable, this bestselling resource provides a practical, step-by-step guide from initial concept to completion of your research report. Thoroughly updated but retaining its well-loved style, this seventh edition provides: • A brand new first chapter outlining what it means to carry out research, the responsibilities of the researcher, the research journey, and the 'intentional' and 'unintentional' roles of a researcher. • An extensive update to chapter nine on using social media in research, to include ethical considerations and how the researcher can use and reference information collected via these platforms and create collaborative connections. • An online review of the latest tools for collecting and analysing both quantitative and qualitative data gathered from social media sites, such as Survey Monkey and Google Forms. • Further coverage on how to protect research participants, including advice from the NHS on how to conduct research in health-based settings. • More detailed coverage of how to conduct effective online literature searches, not only using Google but also other research-based search engines such as PubMed and professionally-focussed sites. • To support your learning, questions at the end of each chapter, which prompt you to reflect on your research journey. This practical, no-nonsense guide is vital reading for all those embarking on undergraduate or postgraduate study, irrespective of discipline, and for professionals in such fields as social science, education and health. 'The latest edition provides extensive coverage of all that a research student might need to know. The expanse of the topics covered enables this book to be indispensable to a great range of students, not only at different levels of study but also in a variety of disciplines. Bell and Waters present an honest and practical look at a daunting academic undertaking and provide the student with a resource that is currently has no parallel. This new edition brings the text up to date with a look at some of the more creative approaches the research project might take and challenges students to think before making research decisions.' Dr Susan Schutz PhD, MSc, RNT, RGN, Department of Nursing, Faculty of Health and Life Sciences, Oxford Brookes University, UK

Download or read book Ebook Doing Your Research Project A Guide for First Time Researchers 8 written by WATERS and published by McGraw-Hill Education (UK). This book was released on 2024-05-08 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This new edition retains the excellent structure and tone of previous editions whilst bringing the text and examples up to date, reflecting the changing and dynamic social world we live and research in." Dr Steven Gascoigne, Assistant Professor, Centre for Lifelong Learning, University of Warwick, UK "This book combines theoretical knowledge and practical skills with case studies, examples, and reflections in one easy-to-read book... A must for novice researchers." Dr Christina Cooper, Assistant Professor in Community Wellbeing, Northumbria University, UK Now on its eighth edition, Doing Your Research Project remains the authoritative guide to conducting an outstanding research project. Guiding readers through each stage of the research journey, this book gives students the confidence to successfully conceptualise and complete their research. Written in its trademark, student-friendly style, each chapter includes reflective questions to help students apply the advice to their own work. The authors cover a range of disciplines and methodologies, empowering students to make an informed choice about what best suits their research. While retaining its most-loved features from previous editions, the latest edition: Provides updated coverage of digital research techniques Examines the nature of research and the roles that researchers occupy Expands the discussion of research methods This bestselling resource is the ultimate companion to any research project, whether you are a first-time or experienced researcher. Practical, clear and concise, Doing Your Research Project is vital reading for anyone embarking on a research project.