Analysing Quantitative Data for Business and Management Students

Author: Charles Scherbaum
Publisher: SAGE
ISBN: 1473917425
Format: PDF, Kindle
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Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. In Analyzing Quantitative Data, Charles Scherbaum and Kristen Shockley guide you through philosophical and theoretical foundations, basic components of quantitative analysis, conducting quantitative analysis, studies using quantitative analysis and strengths and limitations. The book also includes an appendix of Excel formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Watch the editors introduce the Mastering Business Research Methods series and tell you more about the first three books.

Quantitative Methods

Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 9781118023488
Format: PDF, Docs
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An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.

Analysing Quantitative Data

Author: Raymond A Kent
Publisher: SAGE
ISBN: 1473917913
Format: PDF
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Lecturers, request your electronic inspection copy This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis. The book is divided into four clear sections: Data and their presentation Variable-based analyses Case-based analyses Comparing and combining approaches Clear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.

Using Stata for Quantitative Analysis

Author: Kyle C. Longest
Publisher: SAGE Publications
ISBN: 1483356647
Format: PDF
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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.

Quantitative Methods

Author: Louise Swift
Publisher: Macmillan International Higher Education
ISBN: 113733794X
Format: PDF, ePub, Mobi
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Businesses are built on numbers; in any organization the ability to use and interpret quantitative methods is vital to maintaining a competitive edge. Quantitative Methods for Business, Management and Finance is a comprehensive, easy-to-follow guide to the subject, painlessly leading you from fundamental principles to more advanced applications. It is an essential text for undergraduate students of business, management and finance, as well as for those on MBA and postgraduate courses. Each topic is explained in a clear, friendly style, and accompanied by examples, exercises and activities, making the text ideal for self-tuition. This highly successful learning-by-doing approach, coupled with the book's clear structure, make the understanding of essential mathematical skills achievable - and even enjoyable! Key benefits: • From basics to business modelling: maths revision through to probability, statistics and more, all in one text • Suitable for all maths backgrounds – an optional introductory part teaches mathematical essentials from scratch • Refreshingly non-technical writing style – user-friendly and engaging, avoiding excessive theory • Practical guidance on using IBM SPSS and Microsoft Excel • Brand new 'Moving on...' feature with integrated web and book activities for Business Modelling chapters, relating theory to the real world The companion website offers lecturers a testbank, PowerPoint slides, and assessment solutions. Students will find multiple choice practice questions, data sets, and extra exercises. LOUISE SWIFT taught quantitative methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician. SALLY PIFF is Lecturer in Quantitative Methods at Norwich Business School, University of East Anglia, UK.

Quantitative Data Analysis

Author: Willem Mertens
Publisher: Springer
ISBN: 3319427008
Format: PDF, ePub, Docs
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This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

Research Methods for Business Students

Author: Mark N.K. Saunders
Publisher: Pearson Higher Ed
ISBN: 1292016647
Format: PDF, ePub
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Research Methods for Business Students has been fully revised for this seventh edition and continues to be the market-leading textbook in its field, guiding hundreds of thousands of student researchers to success in their research methods modules, research proposals, projects and dissertations. So, if you're thinking . . . 'How do I choose my topic?' 'I'm confused by all these different philosophies' 'I need to collect my data; what do I do first?' ‘When and what do I need to write? . . . then, open this book to discover: Regular checklists and ‘Progressing your research project’ sections to give you step-by-step practical guidance on the process A glossary of clear definitions for 600 research terms Cases and examples of students’ and academics’ research and topical news articles illustrating research in practice Detailed chapters on choosing your topic, reviewing the literature, understanding philosophies, research design, access and ethics, secondary data, data collection and analysis, and writing about and presenting your research Don’t forget to visit www.pearsoned.co.uk/saunders where you can use online tutorials on research software, such as IBM SPSS Statistics and NVivo, test yourself with hundreds of multiple choice questions, analyse over 60 further case studies, and learn how to search the Internet more efficiently and effectively with our Smarter Online Searching guide! Start your project with confidence and complete it with success! Mark Saunders is Professor of Business Research Methods at The Surrey Business School, University of Surrey. Philip Lewis was a Principal Lecturer and Adrian Thornhill was a Head of Department, both at the University of Gloucestershire.

Analyzing Quantitative Data

Author: Norman Blaikie
Publisher: SAGE
ISBN: 9780761967590
Format: PDF, ePub, Docs
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For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory.

Template Analysis for Business and Management Students

Author: Nigel King
Publisher: SAGE
ISBN: 1473952867
Format: PDF, Mobi
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Part of SAGE’s Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. In Template Analysis for Business and Management Students Nigel King and Joanna Brookes guide you through the origins of template analysis and its place in qualitative research, its basic components, and the main strengths and limitations of this method. Practical case studies and examples from published research then guide you through how to use it in your own research project. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as a reference book for doctoral students and faculty members interested in the method. Watch the editors introduce the Mastering Business Research Methods series and tell you more about the first three books.