Essentials of Multivariate Data Analysis

Persistent high employment and growing labour market inequality have become entrenched features of many European countries. This edited collection of papers focuses on the regional and local dimensions of these problems across the European union as a whole and, more particularly, in the UK. In the addressing the contemporary landscape of unemployment, social exclusion and public policy the contributors highlight several key themes, including:How the process of unemployment and social exclusion have an important local level operation. The increasing gender dimension and counts of unemployment to provide effective guides to the true scale of joblessnessThe need for more local-focused policy interventions to help reduce the problems of unemployment, employment insecurity and low incomes that now characterise many of the advanced countries.

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to illustrate the techniques. The accompanying add-in for Microsoft Excel can be used to carry out the analyses in the text. The dataset and Excel add-in are available for download on the book‘s CRC Press web page.Providing a firm foundation in the most commonly used multivariate techniques, this text helps readers choose the appropriate method, learn how to apply it, and understand how to interpret the results. It prepares them for more complex analyses using software such as Minitab, R, SAS, SPSS, and Stata.