Applied Multivariate Research : Design and Interpretation /: Design and Interpretation. (2012)
- Record Type:
- Book
- Title:
- Applied Multivariate Research : Design and Interpretation /: Design and Interpretation. (2012)
- Main Title:
- Applied Multivariate Research : Design and Interpretation
- Further Information:
- Note: Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.
- Authors:
- Meyers, Lawrence S
Gamst, Glenn C
Guarino, Anthony J - Contents:
- Part I. The Basics of Multivariate Design; Chapter 1. An Introduction to Multivariate Design; Chapter 2. Some Fundamental Research Design Concepts; Chapter 3A. Data Screening; Chapter 3B. Data Screening Using IBM SPSS; Part II. Comparisons of Means; Chapter 4A. Univariate Comparison of Means; Chapter 4B. Univariate Comparison of Means Using IBM SPSS; Chapter 5A. Multivariate Analysis of Variance (MANOVA); Chapter 5B. Multivariate Analysis of Variance (MANOVA) Using IBM SPSS; Part III. Predicting the Value of a Single Variable; Chapter 6A. Bivariate Correlation and Simple Linear Regression; Chapter 6B. Bivariate Correlation and Simple Linear Regression Using IBM SPSS; Chapter 7A. Multiple Regression: Statistical Methods; Chapter 7B. Multiple Regression: Statistical Methods Using IBM SPSS; Chapter 8A. Multiple Regression: Beyond Statistical Regression; Chapter 8B. Multiple Regression: Beyong Statistical Regression Using IBM SPSS; Chapter 9A. Multilevel Modeling; Chapter 9B. Multilevel Modeling Using IBM SPSS; Chapter 10A. Binary and Multinomial Logistic Regression and ROC Analysis; Chapter 10B. Binary and Multinomial Logistic Regression and ROC Analysis Using IBM SPSS; Part IV. Analysis of Structure; Chapter 11A. Discriminant Function Analysis; Chapter 11B. Discriminant Function Analysis Using IBM SPSS; Chapter 12A. Principal Components and Exploratory Factor Analysis; Chapter 12B. Principal Components and Exploratory Factor Analysis Using IBM SPSS; Chapter 13A. CanonicalPart I. The Basics of Multivariate Design; Chapter 1. An Introduction to Multivariate Design; Chapter 2. Some Fundamental Research Design Concepts; Chapter 3A. Data Screening; Chapter 3B. Data Screening Using IBM SPSS; Part II. Comparisons of Means; Chapter 4A. Univariate Comparison of Means; Chapter 4B. Univariate Comparison of Means Using IBM SPSS; Chapter 5A. Multivariate Analysis of Variance (MANOVA); Chapter 5B. Multivariate Analysis of Variance (MANOVA) Using IBM SPSS; Part III. Predicting the Value of a Single Variable; Chapter 6A. Bivariate Correlation and Simple Linear Regression; Chapter 6B. Bivariate Correlation and Simple Linear Regression Using IBM SPSS; Chapter 7A. Multiple Regression: Statistical Methods; Chapter 7B. Multiple Regression: Statistical Methods Using IBM SPSS; Chapter 8A. Multiple Regression: Beyond Statistical Regression; Chapter 8B. Multiple Regression: Beyong Statistical Regression Using IBM SPSS; Chapter 9A. Multilevel Modeling; Chapter 9B. Multilevel Modeling Using IBM SPSS; Chapter 10A. Binary and Multinomial Logistic Regression and ROC Analysis; Chapter 10B. Binary and Multinomial Logistic Regression and ROC Analysis Using IBM SPSS; Part IV. Analysis of Structure; Chapter 11A. Discriminant Function Analysis; Chapter 11B. Discriminant Function Analysis Using IBM SPSS; Chapter 12A. Principal Components and Exploratory Factor Analysis; Chapter 12B. Principal Components and Exploratory Factor Analysis Using IBM SPSS; Chapter 13A. Canonical Correlation Analysis; Chapter 13B. Canonical Correlation Analysis Using IBM SPSS; Chapter 14A. Multidimensional Scaling; Chapter 14B. Multidimensional Scaling Using IBM SPSS; Chapter 15A. Cluster Analysis; Chapter 15B. Cluster Analysis Using IBM SPSS; Part V. Fitting Models to Data; Chapter 16A. Confirmatory Factor Analysis; Chapter 16B. Confirmatory Factor Analysis Using Amos; Chapter 17A. Path Analysis: Multiple Regression; Chapter 17B. Path Analysis: Multiple Regression Using IBM SPSS; Chapter 18A. Path Analysis: Structural Modeling; Chapter 18B. Path Analysis: Structural Modeling Using Amos; Chapter 19A. Structural Equation Modeling; Chapter 19B. Structural Equation Modeling Using Amos; Chapter 20A. Model Invariance: Applying a Model to Different Groups; Chapter 20B. Assessing Model Invariance Using Amos. … (more)
- Edition:
- Second edition
- Publisher Details:
- Thousand Oaks : SAGE Publications, Inc
- Publication Date:
- 2012
- Extent:
- 1 online resource (1104 pages)
- Subjects:
- 300.1519535
Multivariate analysis
Social sciences -- Statistical methods
Multivariate analysis
Social sciences -- Statistical methods - Languages:
- English
- ISBNs:
- 9781452256092
1452256098
9781483305905
1483305902 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.30692
- Ingest File:
- 04_007.xml