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SPSS survival manual : a step by step guide to data analysis using SPSS / Julie Pallant.

By: Pallant, Julie [autor.]Material type: TextTextLanguage: English Publisher: Maidenhead (England) : Open University Press, 2010Edition: Fourth editionDescription: xiv, 345 páginas : ilustraciones, diagramas ; 26 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 0335242391; 9780335242399Subject(s): PASW (Programa para computador) | Sociedad | Spss para windows (programa para computador) | Estadística -- Procesamiento de datos | Ciencias sociales -- Métodos estadísticos -- Programas para computador | Ciencias sociales -- Programas para computadorDDC classification: 658.056425
Contents:
Data files and website. \\ -- Getting started. \\ -- Designing a study. \\ -- Preparing a codebook. \\ -- Getting to know SPSS. \\ -- Preparing the data file. \\ -- Creating a data file and entering data. \\ -- Screening and cleaning the data. \\ -- Preliminary analyses. \\ -- Descriptive statistics. \\ -- Using graphs to describe and explore the data. \\ -- Manipulating the data. \\ -- Checking the reliability of a scale. \\ -- Choosing the right statistic. \\ -- Statistical techniques to explore relationships among variables. \\ -- Correlation. \\ -- Partial correlation. \\ -- Multiple regression. \\ -- Logistic regression. \\ -- Factor analysis. \\ -- Statistical techniques to compare groups. \\ -- Non\parametric statistics. \\ -- T\tests. \\ -- One\way analysis of variance. \\ -- Two\way between\groups ANOVA. \\ -- Mixed between\within subjects analysis of variance. \\ -- Multivariate analysis of variance. \\ -- Analysis of covariance. \\ Appendix -- Details of data files.
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All material applies to programs labelled both PASW and IBM SPSS. \\ prefacio.

International bestseller. \\ carátula.

Incluye referencias bibliográficas (p. 337\340) e índice.

Data files and website. \\ -- Getting started. \\ -- Designing a study. \\ -- Preparing a codebook. \\ -- Getting to know SPSS. \\ -- Preparing the data file. \\ -- Creating a data file and entering data. \\ -- Screening and cleaning the data. \\ -- Preliminary analyses. \\ -- Descriptive statistics. \\ -- Using graphs to describe and explore the data. \\ -- Manipulating the data. \\ -- Checking the reliability of a scale. \\ -- Choosing the right statistic. \\ -- Statistical techniques to explore relationships among variables. \\ -- Correlation. \\ -- Partial correlation. \\ -- Multiple regression. \\ -- Logistic regression. \\ -- Factor analysis. \\ -- Statistical techniques to compare groups. \\ -- Non\parametric statistics. \\ -- T\tests. \\ -- One\way analysis of variance. \\ -- Two\way between\groups ANOVA. \\ -- Mixed between\within subjects analysis of variance. \\ -- Multivariate analysis of variance. \\ -- Analysis of covariance. \\ Appendix -- Details of data files.

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