Understanding and Using Advanced Statistics
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Go to College Publishing WebsiteDescription
The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify.
This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration. Each chapter covers a separate statistical method and provides:
- An outline of the technique
- Examples of the types of question it answers
- An explanation of the information that can be gleaned from the results
- Examples from published literature of how the technique has been used in a range of disciplines
- Frequently asked questions
- A comprehensive chapter summary
- Suggestions for further reading
- A glossary of key terms
As statistical techniques become increasingly common and the understanding of these becomes ever more essential, Understanding and Using Advanced Statistics is an essential guide for all students and researchers throughout the social sciences.
Contents
Basic Features of Statistical Analysis and the General Linear Model
Basic Features of Statistical Analysis and the General Linear Model
Multivariate Analysis of Variance
Multivariate Analysis of Variance
Multiple Regression
Multiple Regression
Log-Linear Analysis
Log-Linear Analysis
Logistic Regression
Logistic Regression
Factor Analysis
Factor Analysis
Path Analysis
Path Analysis
Structural Equation Modelling
Structural Equation Modelling
Time Series Analysis
Time Series Analysis
Facet Theory and Smallest Space Analysis
Facet Theory and Smallest Space Analysis
Survival or Failure Analysis
Survival or Failure Analysis
Repertory Grids
Repertory Grids
Additional materials
Description
The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify.
This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration. Each chapter covers a separate statistical method and provides:
- An outline of the technique
- Examples of the types of question it answers
- An explanation of the information that can be gleaned from the results
- Examples from published literature of how the technique has been used in a range of disciplines
- Frequently asked questions
- A comprehensive chapter summary
- Suggestions for further reading
- A glossary of key terms
As statistical techniques become increasingly common and the understanding of these becomes ever more essential, Understanding and Using Advanced Statistics is an essential guide for all students and researchers throughout the social sciences.
Contents
Basic Features of Statistical Analysis and the General Linear Model
Basic Features of Statistical Analysis and the General Linear Model
Multivariate Analysis of Variance
Multivariate Analysis of Variance
Multiple Regression
Multiple Regression
Log-Linear Analysis
Log-Linear Analysis
Logistic Regression
Logistic Regression
Factor Analysis
Factor Analysis
Path Analysis
Path Analysis
Structural Equation Modelling
Structural Equation Modelling
Time Series Analysis
Time Series Analysis
Facet Theory and Smallest Space Analysis
Facet Theory and Smallest Space Analysis
Survival or Failure Analysis
Survival or Failure Analysis
Repertory Grids
Repertory Grids
Additional materials
Reviews
Understanding and Using Advanced Statistics
A Practical Guide for Students
December 2005 | 192 pages | Sage UK
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The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify.
This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration. Each chapter covers a separate statistical method and provides:
- An outline of the technique
- Examples of the types of question it answers
- An explanation of the information that can be gleaned from the results
- Examples from published literature of how the technique has been used in a range of disciplines
- Frequently asked questions
- A comprehensive chapter summary
- Suggestions for further reading
- A glossary of key terms
As statistical techniques become increasingly common and the understanding of these becomes ever more essential, Understanding and Using Advanced Statistics is an essential guide for all students and researchers throughout the social sciences.
Table Of Contents:
- Basic Features of Statistical Analysis and the General Linear Model
- Multivariate Analysis of Variance
- Multiple Regression
- Log-Linear Analysis
- Logistic Regression
- Factor Analysis
- Path Analysis
- Structural Equation Modelling
- Time Series Analysis
- Facet Theory and Smallest Space Analysis
- Survival or Failure Analysis
- Repertory Grids