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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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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Central Library, KUET On Display 300.285555 FIE (Browse shelf(Opens below)) 01 Not For Loan 3010055488
Total holds: 0

"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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