Marketing Scales Handbook Volume 10 Multiitem Measures For Consumer Insight Research Gordon C Bruner Ii by Gordon C. Bruner Ii 9781796226997, 1796226998 instant download after payment.

The Marketing Scales Handbook series is the longest-running set of books that provide reviews of multi-item survey measures that have been used in scholarly studies of consumer behavior. This is the tenth volume of the classic series. The purpose of the book is to help researchers benefit from the expertise of the world's leading consumer behaviorists. This volume picks up where Volume 9 ended and contains 402 multi-item measures that were reported in top marketing journals between 2016 and 2017. These scales are new to the series and were not in any of the previous volumes. Each review provides the scale items (questions, statements, semantic differentials) as well as information about the scale's origin, previous users, and measurement quality. The bulk of the scales in this book involve topics typical to the series such as brands, advertising, stores, purchasing, and pricing. Measures of other topics in this volume have to do with environmentalism, service dominant orientations, symbolic embeddedness, word-of-mouth activity, switching costs, product installations, place attachment, interactions with employees, and sports. As with the rest of the series, this book is a unique and valuable resource for researchers in a variety of fields who want tested and reliable measures of attitudes, emotions, or traits for their studies of consumers or similar types of respondents such as viewers, patients, patrons, or citizens. Many of the measures could also be used in business settings when studying employees, members, or administrators. Instead of using simplistic measures of dubious quality or, at the other extreme, having to build and refine sophisticated measures from scratch, researchers can use the book’s contents to learn from the experts who have already crafted quality scales and had their measures vetted by other experts. By using these better measures, the hope is that accuracy is increased and that, in turn, will improve the decisions based upon the results.