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Doing quantitative research in education with SPSS / Daniel Muijs.

By: Material type: TextTextPublication details: Los Angeles : Sage Publications, c2011.Edition: 2nd edDescription: xv, 247 p. : ill. ; 25 cmISBN:
  • 9781849203234 (hbk.)
  • 1849203237 (hbk.)
  • 9781849203241 (pbk.)
  • 1849203245 (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 Collection Call number Copy number Status Barcode
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre Non-fiction LB 1028 MUI 2011 (Browse shelf(Opens below)) 14126 Available MzULM-014126
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre LB 1028 MUI 2011 (Browse shelf(Opens below)) 7547 Available MzULM-007547

Previous ed.: 2004.

Includes bibliographical references (p. 241) 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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