Data Analysis In Business Research
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| Author | : James E. Sallis |
| Publisher | : Springer Nature |
| Total Pages | : 263 |
| Release | : 2021-10-30 |
| Genre | : Business & Economics |
| ISBN | : 3030844218 |
This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
| Author | : D Israel |
| Publisher | : SAGE Publications |
| Total Pages | : 315 |
| Release | : 2009-01-06 |
| Genre | : Social Science |
| ISBN | : 8178298759 |
While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business Research: A Step by Step Nonparametric Approach brings under one umbrella all the major nonparametric statistical tools that can be used by undergraduate and postgraduate students of all disciplines, especially students of Research Methods in Social Sciences and Management Studies, in their dissertation work. Students face difficulty in analyzing data collected from small samples; they end up reporting mere percentage analysis which results in the loss of information collected. Hence there is a need to create awareness among students and researchers about the application of major nonparametric tools that can be applied confidently without worrying about sample size, scale of measurement, normality assumptions or other parameters of that nature. The lucid presentation of the step-by-step procedures, explaining in simple English how to perform each of the major nonparametric tests, is a major attraction of the book. The book, which also has a comprehensive question bank, assumes minimal or little knowledge of statistics on the part of the reader. This book will also be informative for Marketing Research professionals and organisations, consultancies and organisations of economic research.
| Author | : Gábor Békés |
| Publisher | : Cambridge University Press |
| Total Pages | : 741 |
| Release | : 2021-05-06 |
| Genre | : Business & Economics |
| ISBN | : 1108483011 |
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
| Author | : James V. Spickard |
| Publisher | : SAGE Publications |
| Total Pages | : 610 |
| Release | : 2016-09-15 |
| Genre | : Social Science |
| ISBN | : 1483387232 |
Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.
| Author | : Willem Mertens |
| Publisher | : Springer |
| Total Pages | : 170 |
| Release | : 2016-09-29 |
| Genre | : Computers |
| ISBN | : 3319427008 |
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.
| Author | : Dr. S. Dinesh, Dr. A.S. Poornima |
| Publisher | : Notion Press |
| Total Pages | : 324 |
| Release | : 2024-08-14 |
| Genre | : Business & Economics |
| ISBN | : |
In the ever-evolving landscape of business research, the ability to analyze data effectively is a cornerstone of informed decision-making and scholarly inquiry. Data Analysis for Business Research: A Practical Guide with SPSS is designed to serve as a comprehensive resource for both beginners and experienced researchers. This book aims to provide a solid foundation in data analysis techniques, leveraging the power of SPSS software to simplify complex statistical procedures. The book combines theoretical concepts with practical examples and step-by-step instructions, ensuring that readers can apply these techniques to real-world business research scenarios. Feel empowered with the knowledge and skills to conduct robust data analyses confidently!
| Author | : Iiba |
| Publisher | : |
| Total Pages | : 172 |
| Release | : 2020-08-07 |
| Genre | : Computers |
| ISBN | : 9781927584200 |
The Guide to Business Data Analytics provides a foundational understanding of business data analytics concepts and includes how to develop a framework; key techniques and application; how to identify, communicate and integrate results; and more. This guide acts as a reference for the practice of business data analytics and is a companion resource for the Certification in Business Data Analytics (IIBA(R)- CBDA). Explore more information about the Certification in Business Data Analytics at IIBA.org/CBDA. About International Institute of Business Analysis International Institute of Business Analysis(TM) (IIBA(R)) is a professional association dedicated to supporting business analysis professionals deliver better business outcomes. IIBA connects almost 30,000 Members, over 100 Chapters, and more than 500 training, academic, and corporate partners around the world. As the global voice of the business analysis community, IIBA supports recognition of the profession, networking and community engagement, standards and resource development, and comprehensive certification programs. IIBA Publications IIBA publications offer a wide variety of knowledge and insights into the profession and practice of business analysis for the entire business community. Standards such as A Guide to the Business Analysis Body of Knowledge(R) (BABOK(R) Guide), the Agile Extension to the BABOK(R) Guide, and the Global Business Analysis Core Standard represent the most commonly accepted practices of business analysis around the globe. IIBA's reports, research, whitepapers, and studies provide guidance and best practices information to address the practice of business analysis beyond the global standards and explore new and evolving areas of practice to deliver better business outcomes. Learn more at iiba.org.
| Author | : Erik Mooi |
| Publisher | : Springer |
| Total Pages | : 429 |
| Release | : 2017-11-01 |
| Genre | : Business & Economics |
| ISBN | : 9811052182 |
This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights.
| Author | : Lesley Andres |
| Publisher | : SAGE |
| Total Pages | : 210 |
| Release | : 2012-03-22 |
| Genre | : Social Science |
| ISBN | : 1446273091 |
Designing and Doing Survey Research is an introduction to the processes and methods of planning and conducting survey research in the real world. Taking a mixed method approach throughout, the book provides step-by-step guidance on: • Designing your research • Ethical issues • Developing your survey questions • Sampling • Budgeting, scheduling and managing your time • Administering your survey • Preparing for data analysis With a focus on the impact of new technologies, this book provides a cutting-edge look at how survey research is conducted today as well as the challenges survey researchers face. Packed full of international examples from various social science disciplines, the book is ideal for students and researchers new to survey research.
| Author | : Carol S. Aneshensel |
| Publisher | : SAGE |
| Total Pages | : 473 |
| Release | : 2013 |
| Genre | : Reference |
| ISBN | : 1412994357 |
This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.
