Understanding Statistics: An Introduction for the Social Sciences
Autor Daniel B. Wrighten Limba Engleză Paperback – 12 noi 1996
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Specificații
ISBN-13: 9780803979185
ISBN-10: 0803979185
Pagini: 240
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.41 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 0803979185
Pagini: 240
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.41 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Recenzii
`I found this book very well written and I enjoyed reading it. I particularly liked the use of humour, a welcome addition in an area which is all too often dry and humourless. The examples chosen to illustrate statistical techniques are appropriate, often entertaining and capture the reader's interest. The author is obviously knowledgeable and I could find no major errors in the material presented.
The book has a clear yet ambitious progression. It starts from basics such as what are means and modes, and spends some time dealing with basic concepts and notation; it ends up, however, by covering advanced topics such as loglinear modelling, multiple regression and structural equation modelling. In my opinion these topics are introduced in a gradual, gentle and accessible way.
While there are many books which attempt to introduce statistics to social scientists, there are few that do it as well as this one. It deserves to become a popular student text' - Stephen Newstead, University of Plymouth
`Daniel B Wright has written not just a well-constructed and thorough university-level textbook which "touched all bases", but also a complete social and behavioural science research "handbook" that graduate students and confirmed researchers will often be referring back to before going to specialized works or research articles' - Karl M van Meter, Founding Director of the Bulletin de Methodologie Sociologique and Member of the French CNRS (National Centre for Scientific Research)
`I like this book. Wright's "user-friendly" style provides a stimulating introduction to statistics that explains the basic concepts of statistics, while also giving a bit of the history of how several of these ideas emerged - I'll never think of the "student's t-test" in quite the same light again! The presentation is lively and thoughtful, with well-selected examples' - Allan L McCutcheon, Donald O Clifton Distinguished Professor of Sociology and Director, Gallup Research Centre, University of Nebraska-Lincoln
'There are few introductory books which would even attempt to explain such advanced techniques as Wright and yet he makes you wonder why this is the case - if he can explain it so clearly, why can't everyone else? Wright's writing style is laid back and his slight tangents into the characters and history behind the tests make for a very informative and enjoyable read (I'd previously thought that 'statistics textbook' and 'enjoyable read' were mutually exclusive terms!). Although primarily aimed at undergraduates the book has much to offer those of a substantially higher level and I recommend it to anyone who wishes to improve their understanding of statistics' - British Psychological Society, Mathematics, Statistics and Computing Section Newsletter
`With pleasure I can say that this book gives a good and well-organized introduction to statistics and really serves as a starting point to learning specific techniques.' - Statistician
`There are numerous introductory statistics texts, but few are as readable as Daniel Wright's Understanding Statistics... This is an excellent introductory text suitable for students and researchers across the social sciences' - British Journal of Sociology
`This is an extremely good book. In one slim volume a truly staggering amount of material is covered, from the basics for undergraduate courses right through to advanced topics like MANOVA' - British Journal of Mathematical and Statistical Psychology
`[A] well written introduction to the statistics most often employed in the social sciences' - The American Statistician
The book has a clear yet ambitious progression. It starts from basics such as what are means and modes, and spends some time dealing with basic concepts and notation; it ends up, however, by covering advanced topics such as loglinear modelling, multiple regression and structural equation modelling. In my opinion these topics are introduced in a gradual, gentle and accessible way.
While there are many books which attempt to introduce statistics to social scientists, there are few that do it as well as this one. It deserves to become a popular student text' - Stephen Newstead, University of Plymouth
`Daniel B Wright has written not just a well-constructed and thorough university-level textbook which "touched all bases", but also a complete social and behavioural science research "handbook" that graduate students and confirmed researchers will often be referring back to before going to specialized works or research articles' - Karl M van Meter, Founding Director of the Bulletin de Methodologie Sociologique and Member of the French CNRS (National Centre for Scientific Research)
`I like this book. Wright's "user-friendly" style provides a stimulating introduction to statistics that explains the basic concepts of statistics, while also giving a bit of the history of how several of these ideas emerged - I'll never think of the "student's t-test" in quite the same light again! The presentation is lively and thoughtful, with well-selected examples' - Allan L McCutcheon, Donald O Clifton Distinguished Professor of Sociology and Director, Gallup Research Centre, University of Nebraska-Lincoln
'There are few introductory books which would even attempt to explain such advanced techniques as Wright and yet he makes you wonder why this is the case - if he can explain it so clearly, why can't everyone else? Wright's writing style is laid back and his slight tangents into the characters and history behind the tests make for a very informative and enjoyable read (I'd previously thought that 'statistics textbook' and 'enjoyable read' were mutually exclusive terms!). Although primarily aimed at undergraduates the book has much to offer those of a substantially higher level and I recommend it to anyone who wishes to improve their understanding of statistics' - British Psychological Society, Mathematics, Statistics and Computing Section Newsletter
`With pleasure I can say that this book gives a good and well-organized introduction to statistics and really serves as a starting point to learning specific techniques.' - Statistician
`There are numerous introductory statistics texts, but few are as readable as Daniel Wright's Understanding Statistics... This is an excellent introductory text suitable for students and researchers across the social sciences' - British Journal of Sociology
`This is an extremely good book. In one slim volume a truly staggering amount of material is covered, from the basics for undergraduate courses right through to advanced topics like MANOVA' - British Journal of Mathematical and Statistical Psychology
`[A] well written introduction to the statistics most often employed in the social sciences' - The American Statistician
Cuprins
PART ONE
Statistics in Social Science Research
Introduction to Hypothesis Testing
PART TWO
Comparing the Means of Paired Data
Comparing the Means of Two Groups
PART THREE
Introducing Regression and Correlation
Comparing Many Means
The Analysis of Variance Approach
Comparing Proportions
PART FOUR
Advanced Techniques
Statistics in Social Science Research
Introduction to Hypothesis Testing
PART TWO
Comparing the Means of Paired Data
Comparing the Means of Two Groups
PART THREE
Introducing Regression and Correlation
Comparing Many Means
The Analysis of Variance Approach
Comparing Proportions
PART FOUR
Advanced Techniques
Notă biografică
Descriere
In this comprehensive introduction to using statistics in the social sciences, Daniel B Wright describes the most popular statistical techniques, explaining their basic principles and demonstrating their use in a wide range of social research.