Quantitative Data Analysis with SPSS Release 8 for Windows
Bryman (Alan) & Cramer (Duncan)
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BOOK ABSTRACT:

Back Cover Blurb

  1. The latest edition of this best-selling introduction to quantitative data analysis through the use of a computer package has been completely updated to accommodate the needs of users of SPSS Release 8 for Windows.
  2. Like its predecessor, it provides a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS for Windows. It assumes no previous familiarity with either statistics or computing but takes the reader step by step through the techniques, reinforced by exercises for further practice.
  3. Techniques explained in Quantitative Data Analysis with SPSS Release 8 for Windows include:
    • correlation
    • simple and multiple regression
    • multivariate analysis of variance and covariance
    • factor analysis
  4. The book also covers issues such as sampling, statistical significance, conceptualization and measurement and the selection of appropriate tests.
  5. ‘This book is refreshingly different. It is a must for social science students and personnel professionals intending to undertake serious research in organizations.'
    → Journal of Occupational and Organizational Psychology
  6. ‘... carefully written and presented ... It should prove valuable both to the novice and to the more experienced researcher.’
    → Educational Psychology in Practice
  7. Alan Bryman and Duncan Cramer both teach at Loughborough University and have written several books on statistical analysis with both SPSS and Minitab.

Preface
  1. In this book, we introduce readers to the main techniques of statistical analysis employed by psychologists and sociologists. However, we do not see the book as a standard introduction to statistics. We see the book as distinctively different because we are not concerned to introduce the often-complex formulae that underlie the statistical methods covered. Students often find these formulae and the calculations that are associated with them extremely daunting, especially when their background in mathematics is weak. Moreover, in these days of powerful computers and packages of statistical programs, it seems gratuitous to put students through the anxiety of confronting complex calculations when machines can perform the bulk of the work. Indeed, most practitioners employ statistical packages that are run on computers to perform their calculations, so there seems little purpose in treating formulae and their application as a rite de passage for social scientists. Moreover, few students would come to understand fully the rationale for the formulae that they would need to learn. Indeed, we prefer the term ‘quantitative data analysis’ to ‘statistics’ because of the adverse image that the latter term has in the minds of many prospective readers.
  2. In view of the widespread availability of statistical packages and computers, we feel that the two areas that students need to get to grips with are how to decide which statistical procedures are suitable for which purpose, and how to interpret the ensuing results. We try to emphasize these two elements in this book.
  3. In addition, the student needs to get to know how to operate the computer and, in particular, how to use computer software needed to perform the statistical procedures described in this book. To this end, we introduce students to what is probably the most widely used suite of programs for statistical analysis in the social sciences - the Statistical Package for the Social Sciences (SPSS). This package was first developed in the 1960s and was the first major attempt to provide software for the social scientist. It has since undergone numerous revisions and refinements.
  4. […]

Notes
BOOK COMMENT:

Routledge, 1999.



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