Essence of multivariate thinking : basic themes and methods

By:

Harlow , Lisa L

Material type: Text

TextSeries: Multivariate applications seriesPublication details: Routledge 2023 New YorkEdition: 3rd edDescription: 363pISBN:

9780367219727

Subject(s):

DDC classification:

519.535 HAR

Summary: This book focuses on the underlying themes of multivariate methods. It provides clear language and examples to help readers understand the concepts. The book includes R code for all examples, SAS and SPSS code for seven chapters, and new chapters on structural equation modeling (SEM) and multiple sample analysis (MSA) and latent growth modeling (LGM). It is essential for first-year graduate students and advanced undergraduates seeking clarity on multivariate methods in various fields.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Jammu General Stacks	Non-fiction	519.535 HAR (Browse shelf(Opens below))	Available		IIMJ-8727

Total holds: 0

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Previous	519.53 SCR Model-based clustering, classification, and density estimation using mclust in R	519.535 BAC Multivariate analysis : an application-oriented introduction	519.535 BAC Multivariate analysis : an application-oriented introduction	519.535 HAR Essence of multivariate thinking : basic themes and methods	519.535 MER Advanced and multivariate statistical methods: practical application and interpretation	519.536 BOL Regression analysis in R: a comprehensive view for the social sciences	519.536 HAR Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis	Next

1. Introduction and Multivariate Themes 2. Background Themes 3. Multiple Regression 4. Analysis of Covariance 5. Multivariate Analysis of Variance 6. Discriminant Function Analysis 7. Logistic Regression 8. Principal Components and Factor Analysis 9. Structural Equation Modeling 10. Path Analysis 11. Confirmatory Factor Analysis 12. Latent Variable Modeling 13. Multiple Sample Analysis 14. Latent Growth Modeling 15. Integration of Multivariate Methods

This book focuses on the underlying themes of multivariate methods. It provides clear language and examples to help readers understand the concepts. The book includes R code for all examples, SAS and SPSS code for seven chapters, and new chapters on structural equation modeling (SEM) and multiple sample analysis (MSA) and latent growth modeling (LGM). It is essential for first-year graduate students and advanced undergraduates seeking clarity on multivariate methods in various fields.

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