Page count: 453 pages

Format: B/5

ISBN: 978-963-9326-42-2

Original price: 4600 Ft

This book is useful for (would-be) empirical social researchers to get through the jungle of quantitative data. Different data reduction techniques are introduced, such as principal component, factor and cluster analysis. The book deals with the difficulties to build explanatory models and also with the limits deriving from the nature of data. Different explanatory models are also covered in details, such as analysis of variance, linear regression, path models, discriminant analysis, multidimensional scaling and logistic regression.

The book teaches would-be and practicing quantitative social researchers that since SPSS executes all syntactically correct commands, the choice between different statistical methods, building a model and its interpretation should be well-thought-out. No complex mathematical-statistical procedure can replace the deficiency of operationalization, as it cannot make a coherent dataset from what was made without prior conceptions. Complex methodological tools and procedures can be helpful but cannot replace logical thinking.

Understanding the book does not require deep mathematical knowledge, since methods and models are presented in an easy-to-understand style. After running the SPSS commands discussed in the book and reading the book thoroughly readers are not only introduced to the conditions of applicability of the different methods, but also can choose from them to answer different research questions. The limits of the methods are also introduced such as those “tricks” that can help when everything seems to be hopeless.