Discovering statistics using IBM SPSS statistics / Andy Field.
Material type: TextPublisher: Thousand Oaks, California : Sage Publications Inc., [2018]Copyright date: ©2018Edition: 5th edition; North American editionDescription: xxv, 775 pages : illustrations ; 28 cmContent type:- text
- unmediated
- volume
- 152644027X
- 9781526440273
- 1526436566
- 9781526436566
- 300.285555 23
- HA32 .F54 2018
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Course reserves | |
---|---|---|---|---|---|---|---|---|
SL Book | City Campus City Campus Short Loan | 2Hr 300.285555 FIE (Browse shelf(Opens below)) | 1 | Available | A533623B | |||
Book | City Campus North Campus Short Loan | 300.285555 FIE (Browse shelf(Opens below)) | 1 | Issued | 16/10/2024 | A533751B | ||
Book | South Campus South Campus Main Collection | 300.285555 FIE (Browse shelf(Opens below)) | 1 | Available | A533582B |
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2Hr 174.9004 DUQ Ethical, legal and professional issues in computing / | 2Hr 174.9004 DUQ Ethical, legal and professional issues in computing / | 2Hr 175 HAR The ethical journalist / | 2Hr 300.285555 FIE Discovering statistics using IBM SPSS statistics / | 2Hr 301 AND Sociology : the essentials / | 2Hr 301 AND Sociology : the essentials / | 2Hr 301 AND Sociology : the essentials. |
"SAGE edge"--Cover.
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-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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