ABSTRACT

Sport Industry Research and Analysis offers a straightforward, no nonsense approach to research design and statistical analyses in sport organizations. This fully revised and updated new edition describes the research process, from identifying a research question to analyzing data, and uses real world scenarios to help students and industry professionals understand how to conduct research and apply the results in their wider work.

The book includes clear, step-by-step instructions for the analysis and interpretation of data. It explains how to use Excel and SPSS for every key statistic and statistical technique, with screenshots illustrating every step and additional scenarios providing further context. "In Practice" contributions from sport industry professionals demonstrate how these practitioners use statistical analyses in their everyday tasks, and this new edition includes expanded sections on conducting a literature review and research ethics, as well as ancillary materials for instructors including slides, test questions, data files, answer sheets, and videos.

This is the clearest and most easy-to-use guide to research and analysis techniques in sport, helping the reader to build essential skills and confidence in using statistics, vital to support decision-making in any sport enterprise. It is an essential text for any sport business research methods course, and an invaluable reference for all sport industry professionals.

part I|74 pages

Approaches to collecting information and data

chapter 1|6 pages

Why we need to know about research and analysis

And what they have to do with a career in sport management

chapter 3|14 pages

Approaches to information gathering

chapter 4|13 pages

Descriptive research and case studies

Design and methods

chapter 5|5 pages

Experimental research

Testing the effects of a variable

chapter 6|11 pages

Additional forms of research

Qualitative/naturalistic inquiry, historical/philosophical research, Delphi studies

part II|168 pages

Approaches to analyzing and interpreting data

chapter 10|8 pages

Issues in analyzing data

chapter 11|24 pages

Descriptive statistics

chapter 12|23 pages

Correlation and reliability

chapter 13|21 pages

Regression

chapter 14|18 pages

T-tests

chapter 15|34 pages

Analysis of variance

chapter 16|23 pages

Chi-square tests