Tag: Data
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Quantitative Approaches to Intersectionality: The Small n Problem
A challenge for intersectional survey research is the “Small n Problem”: when there are too few observations in the sample to permit the desired analysis. To perform the multivariate quantitative techniques popular in analyses of survey data, we need an adequate number of cases in each category. For instance, if gender and class are necessary…
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The Rise of Big Data and Computational Social Science in Sociology
In this post, we examine the rise of big data and computational social science in sociology. Many sociologists complain about quantification Academics (on Twitter and elsewhere) often loudly complain about metrics — the quantification of their production, including impact factor, citations, and “points” that universities and other academic institutions, as well as government institutions, devise…
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Data Write-up: The Who, What, When, Where, and Why
You are an investigator. You collect data to test your theory and prove your point. You and journalists are similar. In writing their articles, journalists are taught to answer five questions: who, what, when, where, and why. This post tells you how to write the data and methods section of a research article in the…