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Discovering statistics using IBM SPSS statistics / Andy Field.

By: Material type: TextTextPublication details: Los Angeles : SAGE, [2018]Edition: 5th editionDescription: xxix, 1070 pages : illustrations (colour) ; 27 cmISBN:
  • 9781526419521:
  • 9781526419521
  • 1526419521
Subject(s): DDC classification:
  • 005.369
LOC classification:
  • .F54 2018
Online resources:
Contents:
Why is my evil lecturer forcing me to learn statistics? -- The spine of statistics -- The phoenix of statistics -- The IBM SPSS statistics environment -- Exploring data with graphs -- The beast of bias -- Non-parametric models -- Correlation -- The linear model (regression) -- Comparing two means -- Moderation, mediation and multicategory predictors -- GLM 1: comparing several independent means -- GLM 2: comparing means adjusted for other predictors (analysis of covariance) -- GLM 3: factorial designs -- GLM 4: repeated-measure designs -- GLM 5: mixed designs -- Multivariate analysis of variance (MANOVA) -- Exploratory factor analysis -- Categorical outcomes: chi-square and loglinear analysis -- Categorical outcomes: logistic regression -- Multilevel linear models.
Holdings
Item type Current library Call number Status Date due Barcode
General Lending Carlow Campus Library General Lending 005.369 (Browse shelf(Opens below)) Available 84773
General Lending Carlow Campus Library General Lending 005.369 (Browse shelf(Opens below)) Available 83861

First edition published 2000. 43.14

Includes bibliographical references and index.

Why is my evil lecturer forcing me to learn statistics? -- The spine of statistics -- The phoenix of statistics -- The IBM SPSS statistics environment -- Exploring data with graphs -- The beast of bias -- Non-parametric models -- Correlation -- The linear model (regression) -- Comparing two means -- Moderation, mediation and multicategory predictors -- GLM 1: comparing several independent means -- GLM 2: comparing means adjusted for other predictors (analysis of covariance) -- GLM 3: factorial designs -- GLM 4: repeated-measure designs -- GLM 5: mixed designs -- Multivariate analysis of variance (MANOVA) -- Exploratory factor analysis -- Categorical outcomes: chi-square and loglinear analysis -- Categorical outcomes: logistic regression -- Multilevel linear models.

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