Data Collection and Analysis, 2nd Edition

✍ Scribed by Roger Sapsford, Victor Jupp

Publisher: Sage Publications Ltd
Year: 2006
Tongue: English
Leaves: 353
Edition: 2nd
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This work illustrates the range of techniques used in social research projects and considers the structure and logic of projects as well as the ethics and politics of research. This edition has new chapters on researching via the Internet and up-to-date examples of research in action. Cover; Contents; List of Figures; List of Tables; List of Boxes; Preface; Acknowledgements; List of Contributors; Part I: Design Issues; Chapter 1 -- Validating Evidence; Chapter 2 -- Survey Sampling; Part II: Data Collection; Chapter 3 -- Obsercational Research; Chapter 4 -- Asking Questions; Chapter 5 -- Research and Information on the Net; Chapter 6 -- Using Documents; Part III: Data Analysis; Chapter 7 -- Preparing Numerical Data; Chapter 8 -- Extracting and Presenting Statistics; Chapter 9 -- Statistical Techniques; Chapter 10 -- Analysis of Unstructured Data; Chapter 11 -- Discourse Research

📜 SIMILAR VOLUMES

Hands-On Data Analysis with Pandas: A Py

📁 Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization, 2nd Edition

✍ Stefanie Molin 📂 Library 📅 2021 🏛 Packt Publishing 🌐 English

<p><b>Get to grips with pandas - a fast, versatile, and high-performance Python library for data discovery, data manipulation, data preparation, and handling data for analytical tasks</b></p><h4>Key Features</h4><ul><li>Perform efficient data analysis and manipulation tasks using pandas 1.x</li><li>

Hands-On Data Analysis with Pandas: A Py

📁 Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization, 2nd Edition

✍ Stefanie Molin 📂 Library 🏛 Packt Publishing 🌐 English

<p><span>Get to grips with pandas - a fast, versatile, and high-performance Python library for data discovery, data manipulation, data preparation, and handling data for analytical tasks</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Perform efficient data analysis and manipulation

Data Analysis Using SQL and Excel, 2nd E

📁 Data Analysis Using SQL and Excel, 2nd Edition

✍ Gordon S. Linoff 📂 Library 📅 2015 🏛 Wiley 🌐 English

<b>A practical guide to data mining using SQL and Excel</b> <p><i>Data Analysis Using SQL and Excel, 2nd Edition</i> shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data m

Data Analysis with SPSS (2nd Edition)

📁 Data Analysis with SPSS (2nd Edition)

✍ Stephen A. Sweet, Karen Grace-Martin 📂 Library 📅 2002 🏛 Allyn & Bacon 🌐 English

<span>Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today. Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame r

Python for Data Analysis, 2nd Edition

📁 Python for Data Analysis, 2nd Edition

✍ William McKinney Wesley 📂 Library 🌐 English

Excel Data Analysis For Dummies, 2nd Edi

📁 Excel Data Analysis For Dummies, 2nd Edition

✍ Stephen L. Nelson, E. C. Nelson 📂 Library 📅 2014 🏛 Wiley 🌐 English

Excel Data Analysis For Dummies, 2nd Edition is the ultimate guide to getting the most out of your data. Veteran Dummies author Stephen L. Nelson guides you through the basic and not-so-basic features of Excel to help you discover the gems hidden in your rough data. From input, to analysis, to visua