<span>This book offers a much needed critical introduction to data mining and βbig dataβ. Supported by multiple case studies and examples, the authors provide: <br> </span><ul><li><span><span>Digestible overviews of key terms and concepts relevant to using social media data in quantitative research.
Archival and Secondary Data (The SAGE Quantitative Research Kit)
β Scribed by Tarani Chandola, Cara Booker
- Year
- 2022
- Tongue
- English
- Leaves
- 184
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Data archives provide rich and expansive sources of information for researchers. Part of the SAGE Qualitative Research Kit, this book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your research.
- Practical, up-to-date guidance on secondary data research.
- Covers topics such as: Generating a research question, selecting datasets and variables, examining univariate, bivariate and multivariate associations, and visualisng your data via tables or graphs
- Includes an extensive case study to see the entire process in action
This accessible resources boost students with know-how and confidence, helping them succeed on their quantitative research journey.
π SIMILAR VOLUMES
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<p><span>Part of The SAGE Quantitative Research Kit, This book is an ideal companion for those looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on:<br> <br> </span></p><ul><li><span><s
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<p><span>Data archives provide rich and expansive sources of information for researchers. Part of the SAGE Qualitative Research Kit, this book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your re
<p><span>Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers:</span></p><p><span>Β·Β Β Β Β Β Β 2-level Multilevel Models</span></p><p><span>Β·Β Β Β Β Β Β Structural Equation Modeling (SEM)</s