This innovative book for students and researchers alike gives an indispensable introduction to key issues and practical methods needed for data collection.
It uses clear definitions, relevant interdisciplinary examples from around the world and up-to-date suggestions for further reading to demonstrate how to gather and use qualitative, quantitative, and mixed data sets.
The book is divided into seven distinct parts, encouraging researchers to combine methods of data collection: Data Collection: An Introduction to Research Practices; Collecting Qualitative Data; Observation and Informed Methods; Experimental and Systematic Data Collection; Survey Methods for Data Collection; The Case-Study Method of Data Collection; Concluding Suggestions for Data-Collection Concepts
A stimulating, practical guide which can be read as individual concepts from the methods toolkit, or as a whole, this text is an important resource for students and research professionals.
The concept of outlying data points is used mainly in the context of continuous variables in survey datasets. These data points, known as outliers, lie either above or below the usual range of a variable. The bell curve or ‘normal distribution’ has most of its weight in the middle of its range, and as part of ...