The DOI matches its Crossref record.
An Introduction to Applied Multivariate Analysis
Abstract
This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe
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“For multivariate normality, the Mardia's coefficient in this study was 294.28, lesser than the requisite maximum of 37 × 39 = 1443, which was suggested should be lesser than (k [k + 2], k is the number of observed variables) [46].”
From An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence (2020) · cites this paper as [46]
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Factors influencing teachers’ intention to use technology: Model development and test
Teo, T. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.008 · Cited by 914
“The Mardia's coefficient (Mardia, 1970) for the data in this study was 402.35, which is lower than the value of 440 computed based on the formula p(p+2) where p equals the number of observed variables in the model (Raykov & Marcoulides, 2008).”
MethodInfluentialKnekta, E., Runyon, C., & Eddy, S. L. (2019) · CBE—Life Sciences Education · doi:10.1187/cbe.18-04-0064 · Cited by 765
“…the participant’s responses on different subsets of items relate more closely to one another than to other subsets, that is, it is an analysis of the dimensionality among the items (Raykov and Marcoulides, 2008; Leandre et al., 2012; Tabachnick and Fidell, 2013; Kline, 2016; Bandalos, 2018).”
BackgroundMethodInfluentialMartínez Steele, E., Popkin, B. M., Swinburn, B., & Monteiro, C. A. (2017) · Population Health Metrics · doi:10.1186/s12963-017-0119-3 · Cited by 585
Plonsky (2013) · doi:10.1017/s0272263113000399 · Cited by 347
“For example, MANOVA preserves statistical power and better refl ects the multivariate nature of the reality we attempt to measure (Fish, 1988 ; Raykov & Marcoulides, 2008 , chapter 1; see Gelman, Hill, & Yajima, 2012, for an alternate, Bayesian perspective on multiple comparisons).”
BackgroundA questionnaire-based validation of multidimensional models of self-regulated learning strategies
TENG, L. S., & ZHANG, L. J. (2016) · The Modern Language Journal · doi:10.1111/modl.12339 · Cited by 345
Metadata
- Authors
- Raykov, T., & Marcoulides, G. A.
- ORCID
- Raykov, Tenko
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2008-03-10
- OpenAlex
- W619790032
- Cited by
- 716
- References
- 0
- Citations by year
- 2026: 30 · 2025: 54 · 2024: 48 · 2023: 52 · 2022: 55 · 2021: 51 · 2020: 52 · 2019: 57 · 2018: 34 · 2017: 38 · 2016: 42 · 2015: 52 · 2014: 36 · 2013: 50 · 2012: 19
- FWCI
- 5.12
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Routledge eBooks
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- multivariate analysis, multivariate techniques, behavioral science, social sciences, educational sciences, statistical analysis
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