Analysing quantitative data : variable-based and case-based approaches to non-experimental datasets /
By: Kent, Raymond
Material type: BookPublisher: Los Angeles : Sage Publications Inc, c2015.Description: xxii, 349 p. : ill. ; 25 cm.ISBN: 9781446273418Subject(s): Quantitative research -- Methodology | Social sciences -- Research -- Methodology | Qualitative research | Quantitative Method
Summary:
This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.
Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai PHD Shelf | 300.721 KE AN (Browse shelf) | Checked out | 10/07/2021 | T0051726 |
Total holds: 0
This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.