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Data Types and Sources refers to the classification of data based on its characteristics and the origins from which it is collected. Data types generally include qualitative data, which describes attributes or categories, and quantitative data, which represents numerical values that can be measured and analyzed. Data may also be categorized as primary data, collected directly through methods such as surveys, observations, experiments, and interviews, or secondary data, obtained from existing sources such as books, journals, government reports, databases, and online publications. Understanding different data types and sources is essential for selecting appropriate methods of data collection, analysis, and interpretation, thereby ensuring the accuracy, reliability, and relevance of research findings and decision-making processes.
This lecture is part of KWASU-PAD 112 Descriptive Statistics in the Public Administration department. The course has 15 recorded lectures across 5 series, all free to watch.