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SPSS Survival Manual : a step by step guide to data analysis using IBM SPSS / Julie Pallant.

By: Material type: TextTextLanguage: English Publication details: New York : McGraw-Hill Education , 2016Edition: 6th editionDescription: 352 pISBN:
  • 9780335261543
Subject(s): DDC classification:
  • 300.285555 PAL 2016 23
Contents:
pt. 1. Getting started. Designing a study -- Preparing a codebook -- Getting to know IBM SPSS -- pt. 2. Preparing the data file. Creating a data file and entering data -- Screening and cleaning the data -- pt. 3. Preliminary analyses. Descriptive statistics -- Using graphs to describe and explore the data -- Manipulating the data -- Checking the reliability of a scale -- Choosing the right statistic -- pt. 4. Statistical techniques to explore relationships among variables. Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis -- pt. 5. Statistical techniques to compare groups. Non-parametric statistics -- T-tests -- One-way analysis of variance -- Two-way between-groups ANOVA -- Mixed between-within subjects analysis of variance -- Multivariate analysis of variance -- Analysis of covariance.
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Item type Current library Call number Status Date due Barcode
Sách, chuyên khảo, tuyển tập Phòng DVTT Tổng hợp Kho tham khảo 300.285555 PAL 2016 (Browse shelf(Opens below)) Available 00041002422

pt. 1. Getting started. Designing a study -- Preparing a codebook -- Getting to know IBM SPSS -- pt. 2. Preparing the data file. Creating a data file and entering data -- Screening and cleaning the data -- pt. 3. Preliminary analyses. Descriptive statistics -- Using graphs to describe and explore the data -- Manipulating the data -- Checking the reliability of a scale -- Choosing the right statistic -- pt. 4. Statistical techniques to explore relationships among variables. Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis -- pt. 5. Statistical techniques to compare groups. Non-parametric statistics -- T-tests -- One-way analysis of variance -- Two-way between-groups ANOVA -- Mixed between-within subjects analysis of variance -- Multivariate analysis of variance -- Analysis of covariance.

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