Multivariate Analysis for the Behavioral Sciences, Second Edition (Record no. 2021)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02257 a2200289 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1351202251 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100408.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042018xx 133 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351202251 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 47.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | JMB |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | PBT |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | JMB |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | PBT |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | MAT029000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | BUS061000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | REF000000 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kimmo Vehkalahti |
| 245 10 - TITLE STATEMENT | |
| Title | Multivariate Analysis for the Behavioral Sciences, Second Edition |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20181219 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 437 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p -values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Brian S. Everitt |
| Relationship | A01 |
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