Disaggregating the dependent variable in policy feedback research: an analysis of the EU Emissions Trading System
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DOI: 10.1007/s11077-020-09377-0
Abstract: The literature on policy dynamics has long argued for a better conceptualization and measurement of the dependent variable (“policy”), but this fundamental point has often been neglected in the policy feedback literature. In this paper,… read more here.
Keywords: policy feedback; policy; feedback; variable policy ... See more keywords
Overcoming the dependent variable problem in studying food policy
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DOI: 10.1007/s12571-019-00991-2
Abstract: The development of a comparative food policy research agenda has been hampered by the dependent variable problem of how to delineate the policy field. Through a concise literature review, we show that the existing literature… read more here.
Keywords: policy; policy outputs; variable problem; dependent variable ... See more keywords
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable
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DOI: 10.1017/pan.2020.45
Abstract: Abstract While classical measurement error in the dependent variable in a linear regression framework results only in a loss of precision, nonclassical measurement error can lead to estimates, which are biased and inference which lacks… read more here.
Keywords: error dependent; skewed measurement; dependent variable; measurement error ... See more keywords
Are your covariates under control? How normalization can re-introduce covariate effects
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DOI: 10.1038/s41431-018-0159-6
Abstract: Many statistical tests rely on the assumption that the residuals of a model are normally distributed. Rank-based inverse normal transformation (INT) of the dependent variable is one of the most popular approaches to satisfy the… read more here.
Keywords: dependent variable; based int; covariate effects; rank based ... See more keywords
New statistical method identifies cytokines that distinguish stool microbiomes
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DOI: 10.1038/s41598-019-56397-9
Abstract: Regressing an outcome or dependent variable onto a set of input or independent variables allows the analyst to measure associations between the two so that changes in the outcome can be described by and predicted… read more here.
Keywords: method identifies; statistical method; new statistical; model ... See more keywords
Sampling on the Dependent Variable: An Achille's Heel of Research on Displacement?
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DOI: 10.1093/jrs/feaa123
Abstract: Using Portes’ critique of research that ‘samples on the dependent variable’, this article identifies three particularly widespread and inter-related examples of this tendency within research on displacement, and particularly within the growing field of literature… read more here.
Keywords: dependent variable; research displacement; sampling dependent; research ... See more keywords
Cognitive and cultural models in psychological science: A tutorial on modeling free-list data as a dependent variable in Bayesian regression.
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DOI: 10.31234/osf.io/4n2jm
Abstract: Assessing relationships between culture and cognition is central to psychological science. To this end, free-listing is a useful methodological instrument. To facilitate its wider use, we here present the free-list method along with some of… read more here.
Keywords: data dependent; list; dependent variable; free list ... See more keywords