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Using multivariate statistics, 5th ed.
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The article was published on 2007-01-01 and is currently open access. It has received 18170 citations till now. The article focuses on the topics: Multivariate statistics & Multivariate analysis.read more
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Journal ArticleDOI
Structural Equation Modelling: Guidelines for Determining Model Fit
TL;DR: In this article, a selection of fit indices that are widely regarded as the most informative indices available to researchers is presented, along with guidelines on their use and strategies for their use.
Book
Confirmatory Factor Analysis for Applied Research
TL;DR: In this article, the authors present a detailed, worked-through example drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology.
Journal ArticleDOI
Data clustering: 50 years beyond K-means
TL;DR: A brief overview of clustering is provided, well known clustering methods are summarized, the major challenges and key issues in designing clustering algorithms are discussed, and some of the emerging and useful research directions are pointed out.
Book
Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs
TL;DR: A practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses and a detailed overview of the similarities and differences between within- and between-subjects designs is provided.
Book ChapterDOI
Data Clustering: 50 Years Beyond K-means
TL;DR: Cluster analysis as mentioned in this paper is the formal study of algorithms and methods for grouping objects according to measured or perceived intrinsic characteristics, which is one of the most fundamental modes of understanding and learning.
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