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Discovering statistics using IBM SPSS statistics / Andy Field.

By: Material type: TextTextPublication details: Los Angeles ; New Delhi : SAGE, 2018.Edition: 5thDescription: xxv, 775 p. : color, illus. ; 28 cmISBN:
  • 9781526436566
  • 152644027X
  • 9781526440273
  • 1526436566
Subject(s): DDC classification:
  • 300.285555 FIE
LOC classification:
  • HA32 .F54 2018
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-measures 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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"SAGE edge"--Cover.

Includes bibliographical references (pages 757-766) 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-measures 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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