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.
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This introductory textbook presents research methods and data analysis tools in non-technical language.
Preface.- Part 1: Designing the Study.- Chapter 1: Research Methods and Philosophy of Science.- Chapter 2: The Research Process and Problem Formulation.- Chapter 3: Research Design.- Part 2: Data Collection.- Chapter 4: Secondary Data and Observation.- Chapter 5: Qualitative Methods.- Chapter 6: Questionnaire Surveys.- Chapter 7: Sampling.- Part 3: Quantitative Data Analysis.- Chapter 8: Simple Analysis Techniques.- Chapter 9: Hypothesis Testing.- Chapter10: Regression Analysis.- Chapter 11: Cluster Analysis and Segmentation.- Chapter 12: Factor Analysis.- Part 4: Reporting.- Chapter 13: Reporting Findings.- Index.
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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.
Les mer
Presents research methods and data analysis tools in non-technical language, using numerous step-by-step examples Uses QDA Miner Lite for qualitative and IBM SPSS Statistics for quantitative data analysis Benefits business and social science students and managers alike
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Produktdetaljer

ISBN
9783030844233
Publisert
2022-11-01
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Upper undergraduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Biographical note

James Sallis is a Professor at the Department of Business Studies at Uppsala University, Sweden. He teaches marketing, research methods, and statistics in the undergraduate, graduate, and executive education programs. He is statistical advisor for the department's faculty and students and is a frequent guest lecturer at business schools worldwide.

Geir Gripsrud is Professor Emeritus at the Department of Marketing at BI Norwegian Business School in Oslo, Norway, where he has acted as Dean of both Bachelor and Master Programs. An experienced teacher of marketing, marketing research, distribution channels, and international marketing, he is a co-author of widely used Norwegian textbooks on Research Methods as well as on Distribution Channels and Supply Chains.

Ulf H. Olsson is a Professor at the Department of Economics at BI Norwegian Business School in Oslo, Norway. He has held the position as Provost with responsibility for research and academic resources. Working mainly on structural equation modeling, statistical modeling and psychometrics, he has published research articles in leading statistics and psychometric journals and has also authored textbooks on statistics and mathematics.

Ragnhild Silkoset is a Professor of Marketing at BI Norwegian Business School in Oslo, Norway. She has held the position as the Head of the Department of Marketing, as well as Dean for the Executive Programs. Her areas of interest include marketing, marketing research, pricing strategy, network analysis and blockchain technology.