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Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Survival Analysis Using IBM SPSS

This chapter will briefly demonstrate how to perform three statistical procedures collectively referred to as survival analysis (event history analysis or failure analysis). These procedures are Life Tables analysis, the Kaplan-Meier (product-limit) survival function analysis, and the Cox proportional hazard regression model. We use the data file Survival in these demonstrations.

20B.1 Numerical Example

The present hypothetical example examines a data set for evaluating how long members of a classic car club continue their monthly membership (survive) in the club. A portion of the data file is shown in Figure 20b.1. Six variables are provided in this data set. Each of 60 members was given an identification number, recorded under the variable Member. The Months variable counts the number of months each car club enthusiast has been a member of the club (until ...

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