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Discovering statistics using IBM SPSS statistics / Andy Field.

By: Material type: TextTextLanguage: English Publication details: New Delhi, India : SAGE Publications, 2023.Edition: 4th editionDescription: xxxvi, 915 pages : illustrations ; 28 cmISBN:
  • 9789351500827
Subject(s): DDC classification:
  • 005.55 FIE
Contents:
Why is my evil lecturer forcing me to learn statistics -- Everything you never wanted to know about statistics -- The IBM SPSS statistics environment -- Exploring data with graphs -- The beast of BIAS -- Non-parametric models -- Correlation -- Regression -- Comparing two means -- Moderation, mediation and more regression -- Comparing several means: ANOVA (GLM 1) -- Analysis of covariance, ANCOVA (GLM 2) -- Factorial ANOVA (GLM 3) -- Repeated-measures designs (GLM 4)-- Mixed designs ANOVA (GLM 5) -- Multivariate analysis of variance (MANOVA) -- Exploratory factor analysis -- Categorical data -- Logistic regression -- Multilevel linear models -- Epilogue: life after discovering statistics -- Glossary -- Appendix.
List(s) this item appears in: New Arrivals - May 1st to 31st 2024
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Item type Current library Call number Status Barcode
Books Institute of Public Enterprise, Library S Campus 005.55 FIE (Browse shelf(Opens below)) Available 48061
Books Institute of Public Enterprise, Library S Campus 005.55 FIE (Browse shelf(Opens below)) Available 46082

Includes bibliographical references and index.

Why is my evil lecturer forcing me to learn statistics --
Everything you never wanted to know about statistics --
The IBM SPSS statistics environment --
Exploring data with graphs --
The beast of BIAS --
Non-parametric models --
Correlation --
Regression --
Comparing two means --
Moderation, mediation and more regression --
Comparing several means: ANOVA (GLM 1) --
Analysis of covariance, ANCOVA (GLM 2) --
Factorial ANOVA (GLM 3) --
Repeated-measures designs (GLM 4)--
Mixed designs ANOVA (GLM 5) --
Multivariate analysis of variance (MANOVA) --
Exploratory factor analysis --
Categorical data --
Logistic regression --
Multilevel linear models --
Epilogue: life after discovering statistics --
Glossary --
Appendix.

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