WSEAS Transactions on Information Science and Applications
Editorial: Modelling user experience - An agenda for research and practice
Interacting with Computers
An integrated model of interaction experience for information retrieval in a Web-based encyclopaedia
Interacting with Computers
Using think-aloud and psychometrics to explore users' experience with a news Web site
Interacting with Computers
User-Experience from an Inference Perspective
ACM Transactions on Computer-Human Interaction (TOCHI)
E-mail networks and leadership performance
Journal of the American Society for Information Science and Technology
Measuring flow experience in an immersive virtual environment for collaborative learning
Journal of Computer Assisted Learning
A cognitive-experiential approach to modelling web navigation
International Journal of Human-Computer Studies
Applied Stochastic Models in Business and Industry
Factors that affect visually impaired users' acceptance of audio and music websites
International Journal of Human-Computer Studies
Is standard multivariate analysis sufficient in clinical and epidemiological studies?
Journal of Biomedical Informatics
Journal of Information Science
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The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between thecomponent-basedPLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.