Quantitative Research Methods in Consumer Psychology

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advanced quantitative consumer research methods
AI Engine
Alison Lawson
Amy Jauman
Behavioural Perspective Model
Big Data
big data analytics
Category=GPS
Category=JMB
Category=JMJ
Category=KJMV6
Category=KJS
Category=KJSA
Category=KJSP
Cathrine V. Jansson-Boyd
CHF Patient
Classical Test Theory
connectionist models
Constantinos-Vasilios Priporas
Consumer Behaviour Data
consumer decision modeling
Consumer Neuroscience
Consumer Psychological Research
Consumer Psychology
consumer research
Daniel P. Hinton
Data Set
David B. Resnik
David Longbottom
Debbie Isobel Keeling
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Ethical Buying
ethical considerations research
Final Item Set
Gillie Gabay
Gordon R. Foxall
Hidden Layer
High Dimensional Search Space
Howard Moskowitz
Item Set
Kerry Rees
Lydia Lu
Mapping Sentence
Max N. Greene
Melvin Prince
Michael R. Hyman
Multiple Linear Regression
NN Model
Observed Indicator Variables
Or Shkoler
Partial Order Scalogram Analysis
Paul M. Capobianco
Paul M. W. Hackett
Peter H. Morgan
Peter Steidl
psychological scaling
qualitative data integration
Quantitative Research
quantitative research methods
Quantitative Research Methods in Consumer Psychology
research methods
SDR
Single Blind Review
Single Hidden Layer Networks
Structural Equation Modelling Path Analyses
Tracey Platt
Vaidas Lukosius

Product details

  • ISBN 9781138182721
  • Weight: 880g
  • Dimensions: 152 x 229mm
  • Publication Date: 10 Dec 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Quantitative consumer research has long been the backbone of consumer psychology producing insights with peerless validity and reliability. This new book addresses a broad range of approaches to consumer psychology research along with developments in quantitative consumer research. Experts in their respective fields offer a perspective into this rapidly changing discipline of quantitative consumer research. The book focuses on new techniques as well as adaptations of traditional approaches and addresses ethics that relate to contemporary research approaches.

The text is appropriate for use with university students at all academic levels. Each chapter provides both a theoretical grounding in its topic area and offers applied examples of the use of the approach in consumer settings. Exercises are provided at the end of each chapter to test student learning. Topics covered are quantitative research techniques, measurement theory and psychological scaling, mapping sentences for planning and managing research, using qualitative research to elucidate quantitative research findings, big data and its visualization, extracting insights from online data, modeling the consumer, social media and digital market analysis, connectionist modeling of consumer choice, market sensing and marketing research, preparing data for analysis;, and ethics. The book may be used on its own as a textbook and may also be used as a supplementary text in quantitative research courses.

Paul M. W. Hackett's main area of research is in the theory and application of categorical

ontologies. Paul has developed the qualitative or philosophical facet theory

approach. He has almost 200 publications, including 10 books. Paul is a visiting

professor of at the Universities of Suffolk and Gloucestershire, a visiting researcher

in psychology at Cambridge University and teaches at Emerson College.

.