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Quantitative Methods
The Quantitative Methods programme is written by David Targett, Professor of Information Systems at
the School of Management, University of Bath and formerly Senior Lecturer in Decision Sciences at the London Business School. Professor Targett has many years’ experience teaching executives to add
numeracy to their list of management skills and become balanced decision makers. His style is based on
demystifying complex techniques and demonstrating clearly their practical relevance as well as their
shortcomings. His books, including Coping with Numbers and The Economist Pocket Guide to Business
Numeracy, have stressed communication rather than technical rigour and have sold throughout the world. He has written over fifty case studies which confirm the increasing integration of Quantitative Methods
with other management topics. The cases cover a variety of industries, illustrating the changing nature of Quantitative Methods and the growing impact it is having on decision makers in the Information Technol-
ogy age. They also demonstrate Professor Targett’s wide practical experience in international
organisations in both public and private sectors.
the School of Management, University of Bath and formerly Senior Lecturer in Decision Sciences at the London Business School. Professor Targett has many years’ experience teaching executives to add
numeracy to their list of management skills and become balanced decision makers. His style is based on
demystifying complex techniques and demonstrating clearly their practical relevance as well as their
shortcomings. His books, including Coping with Numbers and The Economist Pocket Guide to Business
Numeracy, have stressed communication rather than technical rigour and have sold throughout the world. He has written over fifty case studies which confirm the increasing integration of Quantitative Methods
with other management topics. The cases cover a variety of industries, illustrating the changing nature of Quantitative Methods and the growing impact it is having on decision makers in the Information Technol-
ogy age. They also demonstrate Professor Targett’s wide practical experience in international
organisations in both public and private sectors.
608 pages, Paperback
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Displaying 1 - 2 of 2 reviews
May 22, 2024
Excellent reference with very clear and concise examples. Although the book goes through some intermediate topics in Probability and Statistics, it assumes no prior knowledge of either. It even assumes no prior knowledge of Mathematics and starts off with an introduction to Algebra (i.e. solving for X) and straight-line graphs.
It covers almost all basic QM topics and some intermediate ones. Topics such as Chi-Square, t- and Poisson distributions are covered in great depth. It also covers inferential statistics and topics like regression, ANOVA, and time-series analysis.
I believe the book covers almost all the necessary topics for social sciences PhD-level quantitative data analysis.
In a nutshell, It could take you from the point of not knowing how to "algebraically solve for x" up to the point where you can manipulate, make inferences from, and extrapolate your data set.
I would especially recommend this to anyone transitioning from STEM to social sciences Or already in a humanities/multi-disciplinary field since the book is written from a social sciences perspective and most of the examples and problems included are non-STEM.
It covers almost all basic QM topics and some intermediate ones. Topics such as Chi-Square, t- and Poisson distributions are covered in great depth. It also covers inferential statistics and topics like regression, ANOVA, and time-series analysis.
I believe the book covers almost all the necessary topics for social sciences PhD-level quantitative data analysis.
In a nutshell, It could take you from the point of not knowing how to "algebraically solve for x" up to the point where you can manipulate, make inferences from, and extrapolate your data set.
I would especially recommend this to anyone transitioning from STEM to social sciences Or already in a humanities/multi-disciplinary field since the book is written from a social sciences perspective and most of the examples and problems included are non-STEM.
April 8, 2022
I think this work by David Targett provided essential information regarding practical quantitative methods for anyone with concern about scientific discoveries and quantitative approaches to these matters. This work provided details and contextual analysis as well, also it seemed quite approachable. Overall, this publication is a useful and applicable for most audience, or anyone with concern about effective quantitative approach for different purposes.
Displaying 1 - 2 of 2 reviews