- Paperback: 344 pages
- Publisher: Sage Publications Ltd (13 Jan 2011)
- Language English
- ISBN-10: 1412935296
- ISBN-13: 978-1412935296
- Product Dimensions: 24 x 17 x 2 cm
- Amazon Bestsellers Rank: 1,618,450 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
A must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding.
Every entry features:
-An introduction to the topic,
-Key relevant features,
-A worked example,
-A concise summary and a selection of further reading suggestions
-Cross-references to associated concepts within the dictionary
About the Author
Luiz Moutinho is Foundation Chair of Marketing at the Department of Management, University of Glasgow
Graeme's teaching and research interests are broadly in the area of methodology and data analysis. His PhD was a study into the acquisition of complex syntax in children and since then he has worked on a number of projects from a wide range of research areas including the conversational behaviour of children, interviewing techniques used on child witnesses, alcohol use in the workplace, the application of knowledge-based expert systems, the application of generalized linear models in predictive modelling, multi-level analysis of data related to Inclusion and Pupil achievement, an assessment of the Early Support Project (DfES) and a project investigating mathematically demanding F and HE programmes.
Graeme's teaching and research interests are broadly in the area of methodology and data analysis. His PhD was a study into the acquisition of complex syntax in children and since then he has worked on a number of projects from a wide range of research areas including the conversational behaviour of children, interviewing techniques used on child witnesses, alcohol use in the workplace, the application of knowledge-based expert systems, the application of generalized linear models in predictive modelling, multi-level analysis of data related to Inclusion and Pupil achievement, an assessment of the Early Support Project (DfES) and a project investigating mathematically demanding F and HE programmes.
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