The Students' Guide in Quantitative Analysis PDF Download
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Author: Henry Carrington Bolton
Publisher:
ISBN:
Category : Analytical chemistry
Languages : en
Pages : 174
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Book Description
Author: Henry Carrington Bolton
Publisher:
ISBN:
Category : Analytical chemistry
Languages : en
Pages : 174
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Book Description
Author: David Kaplan
Publisher: SAGE
ISBN: 9780761923596
Category : Reference
Languages : en
Pages : 532
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Book Description
Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
Author: Paul Connolly
Publisher: Routledge
ISBN: 1134191847
Category : Education
Languages : en
Pages : 283
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Book Description
An accessible and user-friendly guide to quantitative data analysis in educational research, aimed at those with little or no prior knowledge of statistical methods.
Author: Michael Jay Polonsky
Publisher: SAGE
ISBN: 9780761922490
Category : Business & Economics
Languages : en
Pages : 252
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Book Description
`The authors did an excellent job of addressing many of the "real world" issues in conducting a business research project. They have given care to address some of the issues that often represent the major stumbling blocks for students engaged in business research projects.... An excellent text.... It is concise, very readable and addresses many of the issues that we, as instructors, grapple with as we assign research projects′ - Andrew M Forman, PhD, Hofstra University Designing and Implementing a Research Project is a concise, easy to read text designed to guide business students through the various aspects of designing and managing research projects. The focus is on research projects that have a solid academic basis, although some implications for more applied projects are also highlighted. It is divided into three main sections, `Laying the Foundations′, `Undertaking the Research′, and `Communicating the Results′, which present a logical flow for the research project. A unique aspect of the book is the inclusion of particular chapters on topics like supervision, group work and ethics, and the focus of the discussion of data analysis (qualitative and quantitative). The authors have applied their years of past experience in supervising student projects, when writing this book to provide some actual examples of problems and practical guidelines. This unique book presents a step-by-step guide for undertaking research projects that is multidisciplinary in focus and student friendly in style. It could be used, as either a text, or a supplementary text on courses in management (including industrial psychology) and marketing. Graduate students in related fields such as health care administration, public administration, and nursing administration would also find this text useful.
Author: Alan Bryman
Publisher: Routledge
ISBN: 113480573X
Category : Psychology
Languages : en
Pages : 308
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Book Description
Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.
Author: W. Alex Edmonds
Publisher: SAGE Publications
ISBN: 1483317285
Category : Social Science
Languages : en
Pages : 311
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Book Description
The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.
Author: Ian Menter
Publisher: SAGE
ISBN: 1446210073
Category : Education
Languages : en
Pages : 281
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Book Description
This book is a guide to research methods for practitioner research. Written in friendly and accessible language, it includes numerous practical examples based on the authors′ own experiences in the field, to support readers. The authors provide information and guidance on developing research skills such as gathering and analysing information and data, reporting findings and research design. They offer critical perspectives to help users reflect on research approaches and to scrutinise key issues in devising research questions. This book is for undergraduate and postgraduate students, teachers and practitioners in practitioner research development and leadership programmes. The team of authors are all within the School of Education at the University of Glasgow and have significant experience of working with practitioner researchers in education.
Author: Ethan Bueno de Mesquita
Publisher: Princeton University Press
ISBN: 0691215014
Category : Social Science
Languages : en
Pages : 400
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Book Description
An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises
Author: Kyle C. Longest
Publisher: SAGE Publications
ISBN: 1483354059
Category : Social Science
Languages : en
Pages : 274
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Book Description
Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook.
![The student's guide to the University of Cambridge [ed. by sir J.R. Seeley]. PDF](https://books.google.com/books/content/images/frontcover/iugGAAAAQAAJ?fife=w80-h100)
Author: sir John Robert Seeley
Publisher:
ISBN:
Category :
Languages : en
Pages : 412
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Book Description
