SPSS Web Book Regression with SPSS

Bom livro sobre regressão linear com SPSS

Bom livro sobre regressão linear com SPSS

by Xiao Chen, Phil Ender, Michael Mitchell and Christine Wells (in alphabetical order) The aim of these materials is to help you increase your skills in using regression analysis with SPSS.  This web book does not teach regression, per se, but focuses on how to perform regression analyses using SPSS.  It is assumed that you have had at least a one quarter/semester course in regression (linear models) or a general statistical methods course that covers simple and multiple regression and have access to a regression textbook that explains the theoretical background of the materials covered in these chapters.

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Data Analysis Examples

Bons exemplos de análises complexas com vários softwares

Bons exemplos de análises complexas com vários softwares

The pages below contain examples (often hypothetical) illustrating the application of different statistical analysis techniques using different statistical packages. Each page provides a handful of examples of when the analysis might be used along with sample data, an example analysis and an explanation of the output, followed by references for more information. These pages merely introduce the essence of the technique and do not provide a comprehensive description of how to use it.

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SPSS Starter Kit

Lições sobre utilização introdutória ao SPSS

Lições sobre utilização introdutória ao SPSS

    SPSS Annotated Output
    SPSS Class Notes
    SPSS Learning Modules
    SPSS Frequently Asked Questions

    SPSS Library
    SPSS Code Fragments

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      SPSS On-Line Training Workshop

      Muitos e bons videos de utilização das versões mais recentes do SPSS

      Muitos e bons videos de utilização das versões mais recentes do SPSS

      Tutorials and Clips
      camera.gif (1225 bytes) Overview of SPSS
      camera.gif (1225 bytes) Getting Started
      camera.gif (1225 bytes) Options in the Edit Menu
      camera.gif (1225 bytes) Open Files in SPSS
      camera.gif (1225 bytes) Define/Modify Variables
      camera.gif (1225 bytes) File Manipulation: sort, merge, Transpose
      camera.gif (1225 bytes) File Manipulation: select, split
      camera.gif (1225 bytes) Programmability Extension-Using R inside SPSS
      , …

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      Raynald’s SPSS tools

      Páginas pessoais com muita info. sobre SPSS

      Páginas pessoais com muita info. sobre SPSS

      Desde Dezembro de 1998 que tenho participado no grupo de discussão SPSSX-L e no newsgroup comp.soft-sys.stat.spss. Estas participações aumentaram o meu grau de conhecimento acerca SPSS em cerca de 25. Tenho aprendido muito com muitos utilizadores do SPSS, tais como:

      John Hendrickx, Hector E. Maletta, Rolf Kjoeller, David Marso e Neila Nessa.

      Pelo meu lado, respondi a cerca de 2100 questões colocadas nestes dois grupos de discussão. É mais divertido aprender o SPSS através da resposta a questões reais, do que a ler livros e a “inventar problemas” para  resolver. Acho que a diversidade de problemas e situações com que nos deparamos nestes grupos fascinantes. (E isto, provavelmente, diz muita coisa acerca da minha personalidade happyFace2.gif (633 bytes)).

      Para uma visão geral da minha página, queiram consultar o mapa do site.

      Frequently Asked Question (FAQ)
      SPSS Tips
      Newbie’s Corner
      Sample SPSS Syntax
      Learning SPSS Syntax
      Debugging Syntax
      Sample Macros

      Macro Tutorials
      Debugging Macros
      Sample Scripts
      Learning Scripts
      Python

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      SPSS Programming and Data Management book

      Manual grátis do IBM-SPSS

      Manual grátis do IBM-SPSS

      SPSS Programming and Data Management:
      A Guide for SPSS and SAS Users

      The first edition of the book was released by SPSS on January 7th, 2004. Here is the description found on SPSS’s site:

      SPSS is pleased to announce the availability of “SPSS Programming and Data Management: A Guide for SPSS and SAS Users” written by SPSSX list member, Raynald Levesque, already well known for his practical solutions to complex SPSS programming problems.

      The book reveals the wealth of functionality beneath the SPSS graphical user interface, with detailed examples of command syntax, the macro facility, scripting, and the new Output Management System. Until now, no other book has focused on these features, and many users have been unaware of the data management power and flexibility available in SPSS. The book also contains a chapter for users familiar with SAS, demonstrating how many common data management tasks are performed in both SAS and SPSS.

      Although the first 5 editions (for SPSS 12 to SPSS 16) were available in hard copy, this is no longer the case. Only pdf versions are available for SPSS 17 and newer.

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      IBM SPSS product portfolio

      Página da IBM dedicada ao SPSS e co.

      Página da IBM dedicada ao SPSS e co.

      Why SPSS software?

      With SPSS predictive analytics software, you can predict with confidence what will happen next so that you can make smarter decisions, solve problems and improve outcomes.

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      How long will we live — and how well?

      Gráfico animado de dispersão entre a esperança média de vida e a % de anos com saude

      Gráfico animado de dispersão entre a esperança média de vida e a % de anos com saude

      Circule entre os dois anos com informação para ver a animação.

      For every year increase in life expectancy worldwide, healthy life expectancy increased about 9-1/2 months.

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      UK Economic and Social Data Service

      Bom site com muitos dados oficiais do Reino Unido

      Bom site com muitos dados oficiais do Reino Unido

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      Easy web applications in R

      criar aplicações com R - deployment de modelos e análises

      criar aplicações com R - deployment de modelos e análises

      Shiny makes it super simple for R users like you to turn analyses into interactive web applications that anyone can use. Let your users choose input parameters using friendly controls like sliders, drop-downs, and text fields. Easily incorporate any number of outputs like plots, tables, and summaries.

      No HTML or JavaScript knowledge is necessary. If you have some experience with R, you’re just minutes away from combining the statistical power of R with the simplicity of a web page.

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