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Discovering statistics using IBM SPSS statistics /Andy Field.

By: Contributor(s): Material type: TextTextSeries: Publication details: London ; Thousand Oaks, California : SAGE Publications, (c)2018.Edition: fifth editionDescription: xxix, 1070 pages : illustrations (chiefly color) ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781526419514
  • 9781526419521
  • 9781526445766
  • 9781544328225
Subject(s): Genre/Form: LOC classification:
  • HA32 .D573 2018
Available additional physical forms:
Contents:
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 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 -- Epilogue -- Appendix -- Glossary.
Summary: Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS Windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.
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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 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 -- Epilogue -- Appendix -- Glossary.

Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS Windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.

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