University of Kabianga
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Doing quantitative research in education with SPSS / Daniel Muijs.

By: Material type: TextTextPublication details: Los Angeles : Sage Publications Ltd 2011.Edition: 2nd edDescription: xv, 247 p. : ill. ; 25 cmISBN:
  • 9781849203241
  • 9781849203241 (pbk.)
Other title:
  • Quantitative research
  • SPSS
Subject(s): DDC classification:
  • 370.72 22
LOC classification:
  • LB1028 .M775 2011
Contents:
Introduction to quantitative research -- Experimental and quasi-experimental research -- Designing non-experimental studies -- Validity, reliability and generalisability -- Introduction to PASW statistics (IBM SPSS) and the data set -- Univariate statistics -- Bivariate analysis: comparing two groups -- Bivariate analysis: looking at the relationship between two variables -- Multivariate analysis: using multiple linear regression models to look at the relationship between several predictors and one dependent variable -- Using analysis of variance to compare more than two groups -- Developing scales and measures: item and factor analysis -- One step beyond: introduction to multilevel modelling and structural equation modelling.
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Holdings
Item type Current library Call number Status Barcode
General Collection Kapkatet Campus Library LB1028 .M775 2011 (Browse shelf(Opens below)) Available 20096147
General Collection Main Campus Library General Stacks LB1028 .M775 2011 (Browse shelf(Opens below)) Available 20096301
General Collection Main Campus Library General Stacks LB1028 .M775 2011 (Browse shelf(Opens below)) Available 20096302

Previous ed.: 2004.

Includes bibliographical references and index.

Introduction to quantitative research -- Experimental and quasi-experimental research -- Designing non-experimental studies -- Validity, reliability and generalisability -- Introduction to PASW statistics (IBM SPSS) and the data set -- Univariate statistics -- Bivariate analysis: comparing two groups -- Bivariate analysis: looking at the relationship between two variables -- Multivariate analysis: using multiple linear regression models to look at the relationship between several predictors and one dependent variable -- Using analysis of variance to compare more than two groups -- Developing scales and measures: item and factor analysis -- One step beyond: introduction to multilevel modelling and structural equation modelling.

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