Quantitative data analysis with IBM SPSS 17, 18 and 19 : a guide for social scientists / Alan Bryman and Duncan Cramer
Material type:
TextPublication details: Hove ; New York : Routledge, 2011Description: xxv, 377 p. : ill ; 25 cmISBN: - 9780415579186 (hbk.)
- 9780415579193 (pbk.)
- Quantitative data analysis with IBM SPSS 17, 18 & 19 [Cover title]
- HA32 B926Q 2011
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| Books - Printed | PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH Main Library General | HA32 B926Q 2011 (Browse shelf(Opens below)) | Available | 00011282117 |
Browsing PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH shelves, Shelving location: Main Library General Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| HA32 .Y62 2008 SPSS demystified : a step-by-step guide to successful data analysis / | HA32 .Y62 2008 SPSS demystified : a step-by-step guide to successful data analysis / | HA32 .Z84 2001 Analisis data : menggunakan SPSS windows / | HA32 B926Q 2011 Quantitative data analysis with IBM SPSS 17, 18 and 19 : a guide for social scientists / | HA32 F271K 2014 Kaedah penyelidikan & analisis data SPSS / | HA32 F453D 2018 Discovering statistics using IBM SPSS statistics / | HA32 F453D 2018 Discovering statistics using IBM SPSS statistics / |
Includes bibliographical references (p. 365-368) and index.
Machine generated contents note: 1.Data analysis and the research process -- 2.Analysing data with computers: first steps with SPSS 17, 18 and 19 -- 3.Analysing data with computers: further steps with SPSS 17, 18 and 19 -- 4.Concepts and their measurement -- 5.Summarizing data -- 6.Sampling and statistical significance -- 7.Bivariate analysis: exploring differences between scores on two variables -- 8.Bivariate analysis: exploring relationships between two variables -- 9.Multivariate analysis: exploring differences among three or more variables -- 10.Multivariate analysis: exploring relationships among three or more variables -- 11.Aggregating variables: exploratory factor analysis.
There are no comments on this title.