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917568 C4BNKWJ7 1 https://raw.githubusercontent.com/adam3smith/custom-csl/master/mcp-custom-style.csl 50 creator asc 185 https://methodscoordinationproject.org/wp-content/plugins/zotpress/
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Franzosi, Roberto. 2004. From Words to Numbers: Narrative, Data, and Social Science. Structural Analysis in the Social Sciences 22. Cambridge; New York: Cambridge University Press.
*
Franzosi, Roberto. 2004. From Words to Numbers: Narrative, Data, and Social Science. Structural Analysis in the Social Sciences 22. Cambridge; New York: Cambridge University Press.
+*
Grimmer, Justin, and Brandon M. Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis 21 (3): 267–97. http://www.jstor.org/stable/24572662.
Grimmer, Justin, and Brandon M. Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis 21 (3): 267–97. http://www.jstor.org/stable/24572662.
+*
Hopkins, Daniel J., and Gary King. 2010. “A Method of Automated Nonparametric Content Analysis for Social Science.” American Journal of Political Science 54: 229–47. http://dx.doi.org/10.1111/j.1540-5907.2009.00428.x.
Hopkins, Daniel J., and Gary King. 2010. “A Method of Automated Nonparametric Content Analysis for Social Science.” American Journal of Political Science 54: 229–47. http://dx.doi.org/10.1111/j.1540-5907.2009.00428.x.
+*
Krippendorf, Klaus. 2013. Content Analysis: An Introduction to Its Methodology. 3rd ed. Thousand Oaks, Calif.: Sage Publications.
Krippendorf, Klaus. 2013. Content Analysis: An Introduction to Its Methodology. 3rd ed. Thousand Oaks, Calif.: Sage Publications.
*#
Lowe, Will. 2008. “Understanding Wordscores.” Political Analysis 16: 356–71. http://pan.oxfordjournals.org/content/16/4/356.abstract.
Lowe, Will. 2008. “Understanding Wordscores.” Political Analysis 16: 356–71. http://pan.oxfordjournals.org/content/16/4/356.abstract.
*
Monroe, Burt L., and Philip A. Schrodt. 2008. “Introduction to the Special Issue: The Statistical Analysis of Political Text.” Political Analysis 16: 351–55.
Monroe, Burt L., and Philip A. Schrodt. 2008. “Introduction to the Special Issue: The Statistical Analysis of Political Text.” Political Analysis 16: 351–55.
*
Neuendorf, Kimberly A. 2002. The Content Analysis Guidebook. Thousand Oaks, Calif.: Sage Publications.
Neuendorf, Kimberly A. 2002. The Content Analysis Guidebook. Thousand Oaks, Calif.: Sage Publications.