<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Data for: Finding pathways: Mixed-methods research for studying causal mechanisms</titl><IDNo agency="DOI">doi:10.5064/F6MW2F2K</IDNo></titlStmt><distStmt><distrbtr source="archive">Qualitative Data Repository</distrbtr><distDate>2016-01-01</distDate></distStmt><verStmt source="archive"><version date="2018-01-26" type="RELEASED">1</version></verStmt><biblCit>Barnes, Jeb; Weller, Nicholas. 2016. "Data for: Finding pathways: Mixed-methods research for studying causal mechanisms". Qualitative Data Repository. https://doi.org/10.5064/F6MW2F2K. QDR Main Collection. V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Data for: Finding pathways: Mixed-methods research for studying causal mechanisms</titl><IDNo agency="DOI">doi:10.5064/F6MW2F2K</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Department of Political Science, University of Southern California">Barnes, Jeb</AuthEnty><AuthEnty affiliation="Department of Political Science, University of California, Riverside">Weller, Nicholas</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Qualitative Data Repository</distrbtr><distrbtr affiliation="Syracuse University" abbr="QDR" URI="https://qdr.syr.edu">Qualitative Data Repository</distrbtr><contact affiliation="Department of Political Science, University of Southern California" email="barnesj@usc.edu">Barnes, Jeb</contact><contact affiliation="Department of Political Science, University of California, Riverside" email="nicholas.weller@ucr.edu">Weller, Nicholas</contact><depositr>Weller, Nicholas and Jeb Barnes</depositr><depDate>2016</depDate></distStmt><holdings URI="https://doi.org/10.5064/F6MW2F2K"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>case selection</keyword><keyword>front-door criteria</keyword><keyword>pathway analysis</keyword><keyword>measurement</keyword><keyword>mechanisms</keyword><keyword>mixed methods</keyword><keyword>multi-method</keyword><keyword>sequential ignobility</keyword></subject><abstract>This pedagogical data project provides materials related to conducting pathway analysis: the use of case studies to explore the causal links between variables. 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