Adventures in social research : data analysis using IBM SPSS statistics. Earl Babbie ... [et al.].
Material type: TextPublication details: Thousand Oaks, Calif. ; London : Pine Forge, 2010.Edition: 7th ed. / edited by William E. Wagner ... [et al.]Description: 440 p. ; 28 cmISBN:- 9781412982443 (pbk.) :
- 9781412982443 (Paper)
- 300.285555 BAB
- HA32 .B285 2010
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Long Loan | TUS: Midlands, Main Library Athlone Nursing Collection | 300.285555 BAB (Browse shelf(Opens below)) | 1 | Available | 215634 |
Previous ed.: published as by Earl Babbie, Fred Halley and Jeanne Zaino. 2007.
Includes index.
Includes bibliographical references and index.
Part I.Preparing for data analysis -- 1.Introduction: the theory and practice of social resarch -- 2.The logic of measurement -- 3.Description of data sets: the general social survey (GSS) -- Part II.Univariate analysis -- 4.Using SPSS statistics: some basics -- 5.Describing your data: religiosity -- 6.Presenting your data in graphic form: political orientations -- 7.Recoding your data: religiosity and political orientations -- 8.Creating composite measures: exploring attitudes toward abortion in more depth -- 9.Suggestions for further analysis -- Part III.Bivariate analysis -- 10.Examining the sources of religiosity -- 11.Political orientations as cause and effect -- 12.What causes different attitudes towards abortion? -- 13.Measures of association -- 14.Tests of significance -- 15.Suggestions for further bivariate anayses -- Part IV.Multivariate analysis -- 16.Multiple causation: examining religiosity in greater depth -- 17.Dissecting the political factor -- 18.A powerful prediction of attitudes toward abortion -- 19.Suggestios for further multivariate anlyses -- Part V.The adventure continues -- 20.Designing and executing your own survey -- 21.Further opportunities for social research.
Designed for both introductory and advanced research methods or statistics courses in sociology, political science, social work, criminal justice and public health departments, this book is an ideal computer skills and data analysis textbook for any discipline that uses survey methods.