Discovering statistics using IBM SPSS statistics /
Material type: TextPublisher: London, England : SAGE Publications, [2018]Copyright date: ©2018Edition: Fifth editionDescription: xxix, 1070 pages : illustrations ; 27 cmContent type:- text
- unmediated
- volume
- 9781526419521
- 23 519.50285536 FID
Item type | Current library | Collection | Call number | Status | Barcode | |
---|---|---|---|---|---|---|
Book | Library B | Economics and Politics | 519.50285536 FID (Browse shelf(Opens below)) | Not For Loan | 1000579 | |
Book | Library B | Economics and Politics | 519.50285536 FID (Browse shelf(Opens below)) | Available | 1000580 | |
Book | Library B | Economics and Politics | 519.50285536 FID (Browse shelf(Opens below)) | Available | 1000581 | |
Book Non-borrowing | Library B | Economics and Politics | 519.50285536 FID (Browse shelf(Opens below)) | Not for loan | 1000582 | |
Book | Library B | Economics and Politics | 519.50285536 FID (Browse shelf(Opens below)) | Available | 1000583 | |
Book | Library B | Economics and Politics | 519.50285536 FID (Browse shelf(Opens below)) | Available | 1000584 |
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519.5 SAS Statistics for people who (think they) hate statistics / | 519.50285536 FID Discovering statistics using IBM SPSS statistics / | 519.50285536 FID Discovering statistics using IBM SPSS statistics / | 519.50285536 FID Discovering statistics using IBM SPSS statistics / | 519.50285536 FID Discovering statistics using IBM SPSS statistics / | 519.50285536 FID Discovering statistics using IBM SPSS statistics / | 519.50285536 FID Discovering statistics using IBM SPSS statistics / |
"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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