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    Books on Excel, SPSS and Word - These books are designed for a non-techie audience. Sample chapters may be downloaded free of charge.

    SPSS Inc. - Develops, markets and supports integrated line of statistical software products which enable users to effectively bring marketplace and enterprise data to bear on decision-making.

    SPSS Training Main Page - A workshop to learn SPSS. Contains about 40 Quick Time Movies describing many aspects of SPSS.

    Raynald's SPSS Tools - Archive of 350+ sample SPSS syntax, scripts and macros classified by purposes, as well as FAQ, Tips, Tutorials and a Newbie's Corner.

    SYSTAT - Provides research quality statistics and interactive graphics for scientists, engineers and statisticians.

    An Introduction to Logistic Regression - A comprehensive tutorial including hands-on application for beginners, intermediate and advanced users. SPSS is used.

    Listserv Logs for SPSSX-L Mailing List - Archives of all posts to the SPSSX-L mailing list since May 1987

    UCLA Resources on SPSS - Contains Textbook examples, Library, Code Fragments, FAQ, streaming video presentations on SPSS

    John Hendrickx's Home Page - Syntax for Polytomous logistic regression, Event history using SPSS, Macro for evaluating collinearity in models with interactions or non linear terms, Scripts.

    Statistical Services FAQs - Contains about 50 Frequently Asked Questions on SPSS. Including some on converting data from / to SAS

    Knowledge Base - Searching for "SPSS" in the University of Indiana Knowledge Base results in more than 50 frequently asked questions.

    Medical Statistics Using SPSS - This is an on-line course on medical statistics. You may download the databases needed to follow step by step the examples in the text.

    SPSS-UG-3 :: Example Survey Analysis using SPSS for Windows - This document gives you an example of how you might perform and analyse a survey using SPSS for Windows version 6.1.2.

    How to Use SPSS to Study Ego-Centered Networks - We show how analyses of ego-centered networks are best done by starting with two data sets: (1) focal individuals and their ego-centered networks; (2) network members and their ties with focal individuals. We show how to link these two data sets to (a) calculate summary information about each ego-centered network; (b) combine focal individual, tie and network data.


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