Data analysis for the social sciences : integrating theory and practice / Douglas Bors.
Material type: TextPublisher: Los Angeles; ; London : SAGE, 2018Description: xv, 642 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9781446298480
- 1446298485
- 1446298477
- 9781446298473
- H 62 .B648 2018
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Circulation | DLSU-D HS Learning Resource Center Circulation | Circulation | H 62 .B648 2018 (Browse shelf(Opens below)) | 1 | Available | 3SHS2019000980 |
Browsing DLSU-D HS Learning Resource Center shelves, Shelving location: Circulation, Collection: Circulation Close shelf browser (Hides shelf browser)
H 62 .An139 2021 Analyzing and interpreting qualitative research : after the interview / | H 62 .B171 2022 Crafting qualitative research questions : a prequel to design / | H 62 .B394 2021 Beginning quantitative research / | H 62 .B648 2018 Data analysis for the social sciences : integrating theory and practice / | HA 29 .L551 2018 Essentials of social statistics for a diverse society / | HA 29 .Sa34 2017 Statistics for people who (think they) hate statistics : Using excel 2016 | HA 31.23 .W157 2022 Register-based statistics : registers and the national statistical system / |
Includes bibliographical references (pages 630-636) and index.
Part I: The foundations -- Part II: Basic research designs -- Part III: Analysing complex designs.
Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.
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