Data compatibility in the addiction sciences: an examination of measure commonality.

Abstract

The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across… (More)
DOI: 10.1016/j.drugalcdep.2014.04.029

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Cite this paper

@article{Conway2014DataCI, title={Data compatibility in the addiction sciences: an examination of measure commonality.}, author={Kevin P Conway and Genevieve C Vullo and Ashley P. Kennedy and Matthew S Finger and Arpana Agrawal and James M. Bjork and Lindsay A. Farrer and Dana B Hancock and Andrea Hussong and Paul G. Wakim and Wayne Huggins and Tabitha P. Hendershot and Destiney S. Nettles and Joseph Pratt and Deborah R Maiese and Heather Junkins and Erin M. Ramos and Lisa C. Strader and Carol McKenna Hamilton and Kenneth J. Sher}, journal={Drug and alcohol dependence}, year={2014}, volume={141}, pages={153-8} }