Quantitative research methods in consumer psychology contemporary and data-driven approaches / edited by Paul M. W. Hackett.

Other author Hackett, Paul, 1960-
Format Electronic
Publication InfoNew York : Routledge, Taylor & Francis Group, 2019.
Description1 online resource.
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Contents Preface / Paul M. W. Hackett -- Quantitative research : its place in consumer psychology / Cathrine Jansson-Boyd -- Using contemporary quantitative techniques / Or Shkoler -- Measurement theory and psychological scaling / Daniel P. Hinton and Tracey Platt -- Identify, interpret, monitor and respond to quantitative consumer data on social media / Amy Jauman -- Alternative research methods: introducing market sensing : a qualitative and interpretive perspective on research / David Longbottom and Alison Lawson -- Big data : data visualization and quantitative research apps / Vaidas Lukosius and Michael R. Hyman -- Exploring ways of extracting insights from big data / Peter Steidl -- Contemporary approaches to modeling the consumer / Debbie Isobel Keeling -- Connectionist modelling of consumer choice / Max Greene, Peter Morgan, and Gordon Foxall -- Uniting theory and empirical research : market research and marketing sensing / Melvin Prince, Constantinos-Vasilios Priporas, Gillie Gabay, and Howard Moskowitz -- Ethical issues in conducting psychological research / David B. Resnik -- A user-friendly practical guide to preparing data for analysis / Kerry Rees -- Integrating and writing up data driven quantitative research : from design to result presentation / Paul M. W. Hackett, Lydia Lu and Paul M. Capobianco -- Index.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Quantitative research methods in consumer psychology New York : Routledge, Taylor & Francis Group, 2019 9781138182691
Genre/formElectronic books.
LCCN 2018031723
ISBN9781315641577 (master eb)
ISBN9781317280415 (epub)
ISBN9781317280422 (pdf)
ISBN9781317280408 (mobi)

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Electronic Resources Access Content Online ✔ Available