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Data Analysis for Using SPSS for Windows Versions 8 to 10: A Beginner's Guide

By: Material type: TextLanguage: English Publication details: UK Sage Publications 2001Description: xvii, 252 illustrations 24 cm 1 computer disc (3 1/2 in.)ISBN:
  • 0761969268
  • 9780761969266
  • 0761969276
  • 9780761969273
Patent information: 1998Subject(s): DDC classification:
  • 519.502855369 21
LOC classification:
  • HA32 .F67 2001
Contents:
Aims of this book -- The basics of statistical analysis -- Starting out -- Crucial preliminaries -- The data file -- Merging data files -- Running a simple analysis and obtaining the output -- Syntax files -- Taking a preliminary look at the data -- Graphs -- Ranking and sorting the data -- Changing the way data is coded and grouped -- Selecting subgroups for analysis -- How many respondents gave a particular answer, Frequency data -- What is the average score, Measures of central tendency and dispersion -- Parametric statistical tests comparing means -- Correlations and multiple regression -- Analysing nominal and ordinal data -- Assessing test reliability -- Facot analysis -- Obtaining neat printouts and tables.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book Central Papal Library 600 | GA73 (Browse shelf(Opens below)) Available 62761

Previous ed., 1998.

Aims of this book -- The basics of statistical analysis -- Starting out -- Crucial preliminaries -- The data file -- Merging data files -- Running a simple analysis and obtaining the output -- Syntax files -- Taking a preliminary look at the data -- Graphs -- Ranking and sorting the data -- Changing the way data is coded and grouped -- Selecting subgroups for analysis -- How many respondents gave a particular answer, Frequency data -- What is the average score, Measures of central tendency and dispersion -- Parametric statistical tests comparing means -- Correlations and multiple regression -- Analysing nominal and ordinal data -- Assessing test reliability -- Facot analysis -- Obtaining neat printouts and tables.

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