POLS 3650 Chapter Notes - Chapter 3: Behavioural Sciences, Microsoft Excel, Codebook

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Chapter 3: issues in data preparation page #34-46: Why is data preparation important: social science data is rarely, if ever, in a form that is immediately ready for statistical analysis. Instead, the data often needs to be initially collected through various research methods (like telephone or mail surveys, personal interviews, naturalistic observations, and experiments: naturalistic observations studies that involve watching or observing people in natural settings. Examples include analyses based on preexisting government documents and historical records. To do this type of analysis, the research needs to establish rules for coding the content of this information: missing data data that is missing. You simply can"t do this type of research without it. Operationalization and measurement: operationalization the process by which particular meaning is attached to abstract concepts for purposes of developing observable indicators and measures of these concepts, measurement the outcome of the process of operationalization.

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