I would like to first thank Jason and the rest of the ELS crew for inviting me as a guest blogger this week. I hope to get my first substantive post up tomorrow about my thoughts on interdisciplinary legal scholarship, but I would first like to second Bill's observation about the quality and helpfulness of Sage's Quantitative Applications in the Social Sciences series. For novice researchers trying to understand basic concepts relating to both linear and multivariate regression, I recommend Larry Schroeder's Understanding Regression Analysis monograph. For a slightly more advanced examination of regression, Michael Lewis Beck's Applied Regression monograph is also a wonderful resource. A number of the other papers deal with the nuances of descriptive statistics, such as Peter Chen's Correlation and Michael Lewis Beck's Data Analysis monographs.
Although there are no doubt a number of useful resources for empirical researchers, I find the offerings in the Sage series to be among the best and most diverse. A researcher that has questions about confidence intervals, for example, can turn to a Sage monograph focused solely on that subject. I have encouraged our librarians at the University of Minnesota to purchase a number of the offerings from Sage as I think they are an indispensable (and perhaps underutilized) tool for methodologically rigorous empirical scholarship.
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I hope to get my first substantive post up tomorrow about my thoughts on interdisciplinary legal scholarship, but I would first like to second Bill's observation about the quality and helpfulness of Sage's Quantitative Applications in the Social Sciences series.
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For a hardly added avant-garde assay of regression, Michael Lewis Beck's Applied Corruption album is additionally a admirable resource.
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I hope to get my first substantive post up tomorrow about my thoughts on interdisciplinary legal scholarship, but I would first like to second Bill's observation about the quality and helpfulness of Sage's Quantitative Applications in the Social Sciences series.
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