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A Concise Guide to Market Research
Marko Sarstedt,Erik Mooi +1 more
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TLDR
In this paper, a compact, hands-on and step-by-step introduction to quantitative market research techniques is presented and the most important techniques and shows how to translate theoretical choices into SPSS and how to analyze the output.Abstract:
▶ Compact, hands-on and step-by-step introduction to quantitative market research techniques ▶ Presents the most important techniques and shows how to translate theoretical choices into SPSS and how to analyze the output ▶ Range of education elements such as learning objectives, keywords, self-assessment tests, case studies ▶ Innovative supplementary online concept, including mobile tags, sample datasets and additional casesread more
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A new criterion for assessing discriminant validity in variance-based structural equation modeling
TL;DR: In this paper, the heterotrait-monotrait ratio of correlations is used to assess discriminant validity in variance-based structural equation modeling. But it does not reliably detect the lack of validity in common research situations.
Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
TL;DR: Partial least squares (PLS) is an evolving approach to structural equation modeling (SEM), highlighting its advantages and limitations and providing an overview of recent research on the method across various fields as discussed by the authors.
Journal ArticleDOI
The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications
TL;DR: It is found that researchers still often do not fully make use of the method's capabilities, sometimes even misapplying it, which is important to disseminate rigorous research and publication practices in the strategic management discipline.
Book
Research methods in business studies
TL;DR: This paper presents a meta-analysis of research in business from a qualitative and quantitative perspective, focusing on the role of samples in empirical research.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Journal ArticleDOI
A Paradigm for Developing Better Measures of Marketing Constructs
TL;DR: A critical element in the evolution of a fundamental body of knowledge in marketing, as well as for improved marketing practice, is the development of better measures of the variables with which marketers deal with marketing as discussed by the authors.
Book
Scale development : theory and applications
TL;DR: In this paper, the authors discuss the role of measurement in the social sciences and propose guidelines for scale development in the context of scale-based measurement. But, the authors do not discuss the relationship between scale scores and scale length.