{"product_id":"the-essence-of-multivariate-thinking-basic-themes-and-methods-multivariate-applications-series-9780415873727","title":"The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications Series)","description":"\u003cp\u003eBy focusing on underlying themes  this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods  when they are used and the questions they address  the key assumptions and equations  and how to interpret the results. The concepts take center stage while formulas are kept to a minimum. Examples using the same data set give readers continuity so they can more easily apply the concepts. Each method is also accompanied by a worked out example  SPSS and SAS input  and an example of how to write up the results. EQS code is used for the books SEM applications.  This extensively revised edition features: New SEM chapters including an introduction (ch.10)  path analysis (ch.11)  confirmatory factor analysis (ch.12)  and latent variable modeling (ch.13) the last three with an EQS application. A new chapter on multilevel modeling (ch. 8) that is now used more frequently in the social sciences. More emphasis on significance tests  effect sizes  and confidence intervals to encourage readers to adopt a thorough approach to assessing the magnitude of their findings. A new data set that explores the work environment. More discussion about the basic assumptions and equations for each method for a more accessible approach. New examples that help clarify the distinctions between methods. A new website at https:\/\/sites.google.com\/site\/multivariatesecondedition\/ that features the datasets for all of the examples in the book for use in both SPSS and SAS and in EQS for the SEM chapters. The first two chapters review the core themes that run through most multivariate methods. The author shows how understanding multivariate methods is much more achievable when we notice the themes that underlie these statistical techniques. This multiple level approach also provides greater reliability and validity in our research. After providing insight into the core themes  the author illustrates them as they apply to the most popular multivariate methods used in the social  and behavioral sciences. First  two intermediate methods are explored  multiple regression and analysis of covariance. Next the multivariate grouping variable methods of multivariate analysis of variance  discriminant function analysis  and logistic regression are explored. Next the themes are applied to multivariate modeling methods including multilevel modeling  path analysis  confirmatory factor analysis  and latent variable models that include exploratory structural methods of principal component and factor analysis. The book concludes with a summary of the common themes and how they pertain to each method discussed in this book.  Intended for advanced undergraduate and\/or graduate courses in multivariate statistics taught in psychology  education  human development  business  nursing  and other social and life sciences  researchers also appreciate this books applied approach. Knowledge of basic statistics  research methods  basic algebra  and finite mathematics is recommended.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":67636878475317,"sku":"ByrdShop_041587372X","price":81.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9780415873727.jpg?v=1791557688","url":"https:\/\/atxbooks.com\/products\/the-essence-of-multivariate-thinking-basic-themes-and-methods-multivariate-applications-series-9780415873727","provider":"ATX Books","version":"1.0","type":"link"}