Understanding and Using Advanced Statistics
A Practical Guide for Students
1st Edition
Published on 29. November 2005
192 pages
978-1-84860-512-1 (ISBN)
Description
Understanding and Using Advanced Statistics is a comprehensive, practical guide for postgraduate students advising how and when to use more advanced statistical methods. Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper-level techniques to cater for the advanced student.
Key Features:
- Comprehensive guide informing how to use a range of advanced statistical methods such as MANOVA, path analysis and logistical regression;
- Inter-disciplinary: ideal for students studying upper level statistical methods in any subject across the social sciences;
- Practical guide: case studies, further reading, key terms explained in order to help the non-mathematically orientated student get ahead with their research.
Building on undergraduate statistical grounding, Understanding and Using Advanced Statistics provides the upper-level researcher with the knowledge of what advanced statistics do, how they should be used, and what their output means.
Key Features:
- Comprehensive guide informing how to use a range of advanced statistical methods such as MANOVA, path analysis and logistical regression;
- Inter-disciplinary: ideal for students studying upper level statistical methods in any subject across the social sciences;
- Practical guide: case studies, further reading, key terms explained in order to help the non-mathematically orientated student get ahead with their research.
Building on undergraduate statistical grounding, Understanding and Using Advanced Statistics provides the upper-level researcher with the knowledge of what advanced statistics do, how they should be used, and what their output means.
Reviews / Votes
Foster and colleagues provide basic understanding and knowledge of some statistical procedures being increasingly used in numerous diverse real-life situations; this volume particularly addresses problems in the social sciences. . . .This is an interesting book with complex statistical procedures in a simple, easy-to-understand style. It should appeal to all readers with limited knowledge of mathematics who want to learn the applications of these techniques. Summing Up: Highly recommended. -- D. V. Chopra * CHOICE *All prices
More details
Edition
First Edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
ISBN-13
978-1-84860-512-1 (9781848605121)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jeremy J. Foster | Emma Barkus | Christian Yavorsky
Understanding and Using Advanced Statistics
A Practical Guide for Students
Book
12/2005
1st Edition
SAGE Publications Inc
€86.70
Shipment within 10-20 days
Jeremy J. Foster | Emma Barkus | Christian Yavorsky
Understanding and Using Advanced Statistics
A Practical Guide for Students
Book
11/2005
1st Edition
SAGE Publications Inc
€198.30
Shipment within 10-20 days
Persons
Dr Jeremy Foster is Principal Lecturer in the Department of Psychology and Speech Therapy at Manchester Metropolitan University. Research Interests:
Cannabis, Ecstasy (MDMA), risk factors for psychosis in the general population, experiences people have after using recreational drugs, effects of psychosis proneness and recreational cannabis use on cognitive function, schizophrenia and other psychoses, early psychosis, use of technology in research, health and well being of adolescents and children, neuropsychology, neuroscience, functional brain imaging.
Cannabis, Ecstasy (MDMA), risk factors for psychosis in the general population, experiences people have after using recreational drugs, effects of psychosis proneness and recreational cannabis use on cognitive function, schizophrenia and other psychoses, early psychosis, use of technology in research, health and well being of adolescents and children, neuropsychology, neuroscience, functional brain imaging.
Content
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
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
