{"id":81,"date":"2017-04-11T14:26:05","date_gmt":"2017-04-11T14:26:05","guid":{"rendered":"https:\/\/jvictor.gmu.edu\/?page_id=81"},"modified":"2022-10-25T17:46:39","modified_gmt":"2022-10-25T17:46:39","slug":"data-download","status":"publish","type":"page","link":"https:\/\/jvictor.schar.gmu.edu\/index.php\/data-download\/","title":{"rendered":"Data Download"},"content":{"rendered":"<p style=\"text-align: center;\"><em>Updated February 8, 2018<\/em><\/p>\n<p>Downloading data from this page implies that agreement with the following restrictions:<\/p>\n<ul>\n<li>These data are not to be used for commercial or for-profit use.<\/li>\n<li>These data may not be sold or otherwise restricted to others.<\/li>\n<li>These data may be used only for research, academic or scholarly pursuits to advance knowledge in related fields.<\/li>\n<li>George Mason University and Jennifer Victor are not responsible for violations of these intended usages of these data.<\/li>\n<li>Please cite your usage of these data using the following citation:<\/li>\n<\/ul>\n<p>Victor, Jennifer Nicoll. 2018. &#8220;NAME OF DATASET.&#8221; Data available for scholarly use from\u00a0https:\/\/jvictor.schar.gmu.edu\/index.php\/data-download\/\u00a0DATE ACCESSED.&#8221;<\/p>\n<p>If you find errors, please communicate them to <a href=\"mailto:jvictor3@gmu.edu\">jvictor3@gmu.edu<\/a>. I will post notes and updated data as time permits.<\/p>\n<p><strong>U.S. Congress Caucus Data<br \/>\n<\/strong>For complete caucus membership data from the 103<sup>rd<\/sup> to 113<sup>th<\/sup> congresses, please visit: <a href=\"http:\/\/bridgeinfogap.org\/database\/\" target=\"_blank\" rel=\"noopener\">http:\/\/bridgeinfogap.org\/database\/<\/a><\/p>\n<p><span style=\"text-decoration: underline;\">Caucus Membership<\/span><br \/>\nThe files called &#8220;membership_xxx.csv&#8221; are incidence matrices where the first column indicates the MC identifier and the first row indicates the caucus identifier.\u00a0 Values are dichotomous, where 1= caucus membership.<br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/membership_109.csv\" target=\"_blank\" rel=\"noopener\">membership_109.csv<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/membership_110.csv\" target=\"_blank\" rel=\"noopener\">membership_110.csv<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/membership_111.csv\" target=\"_blank\" rel=\"noopener\">membership_111.csv<\/a><\/p>\n<p><span style=\"text-decoration: underline;\">Caucus Leadership<\/span><br \/>\nThe files called &#8220;leadership_xxx.csv&#8221; are incidence matrices where the first column indicates the MC identifier and the first row indicates the caucus identifier.\u00a0 Values are dichotomous, where 1 = caucus leader.<br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/leadership_109.csv\" target=\"_blank\" rel=\"noopener\">leadership_109.csv<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/leadership_110.csv\" target=\"_blank\" rel=\"noopener\">leadership_110.csv<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/leadership_111.csv\" target=\"_blank\" rel=\"noopener\">leadership_111.csv<\/a><\/p>\n<p><span style=\"text-decoration: underline;\">Caucuses<\/span><br \/>\nThe files called &#8220;Caucuses_xxx.csv&#8221; contain two columns. The first column indicates the caucus identifier. The second column indicates the caucus name, a string. The first row has column labels.<br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/Caucuses_109.csv\" target=\"_blank\" rel=\"noopener\">caucuses_109.csv<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/Caucuses_110.csv\" target=\"_blank\" rel=\"noopener\">caucuses_110.csv<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/Caucuses_111.csv\" target=\"_blank\" rel=\"noopener\">caucuses_111.csv<\/a><\/p>\n<hr \/>\n<p><strong>Cosponsorship Data<\/strong><\/p>\n<p>The following files were created with assistance from <a href=\"http:\/\/jhkirkla.wordpress.com\/\" target=\"_blank\" rel=\"noopener\">Justin Kirkland<\/a>. The bill data were scraped from Thomas. Matrices are incidence files with MCs as rows (with IDs in the first column) and bills in columns. 1 = sponsorship, 2 = cosponsorship. Some MCs are removed from these files so that IDs and MCs match caucus data. \u00a0 See <a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/cosponsorship_notes.txt\" target=\"_blank\" rel=\"noopener\">notes<\/a>. Files are in comma separated values (.csv) format. As of now, only House data are included.<br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/103_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_103<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/104_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_104<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/105_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_105<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/106_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_106<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/107_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_107<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/108_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_108<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/109_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_109<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/110_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_110<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/111_housematrix_wIDs.csv\" target=\"_blank\" rel=\"noopener\">Cosponsorship_111<\/a><\/p>\n<hr \/>\n<p><strong>Co-voting Data<\/strong><\/p>\n<p>These data were compiled with assistance from <a href=\"http:\/\/haptonstahl.org\/srh\/\" target=\"_blank\" rel=\"noopener\">Steven Haptonstahl<\/a> and <a href=\"https:\/\/justinhgross.web.unc.edu\/\" target=\"_blank\" rel=\"noopener\">Justin H. Gross<\/a>. Data below are Excel files (.xlsx) that include square adjacency matrices of co-voting for the 103rd-111th congresses, with legislator IDs. Legislators are coded as 1 if they voted \u201cYea\u201d or were recorded as an \u201cAnnounced Yea\u201d vote (originally, 1 and 3, respectively in raw roll call data). Legislators are coded as -1 if they voted \u201cNay\u201d or \u201cAnnounced Nay\u201d (originally 6 and 4 in raw data, respectively). Those voting \u201cPresent\u201d (7) or \u201cNot Voting\u201d (9) are coded as 0.<\/p>\n<p>Procedure:<\/p>\n<ul>\n<li>Calculate the sum (S) of all the dyadwise agreements (1s) and disagreements (-1).<\/li>\n<li>Calculate the sum of the absolute values of all votes (V), which returns the number of roll calls in which both members of the dyad participated.<\/li>\n<li>Calculate the number of times the dyad cast the same vote (A): (S+V)\/2<\/li>\n<li>Calculate the rate of agreement for each dyad, given that both voted: A \/ V<\/li>\n<\/ul>\n<p>The matrices report the rate of voting agreement for each dyad in each congress across all roll call votes for the House.<br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou103_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_103H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou104_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_104H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou105_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_105H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou106_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_106H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou107_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_107H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou108_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_108H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou109_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_109H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou110_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_110H.xlsx<\/a><br \/>\n<a href=\"https:\/\/jvictor.schar.gmu.edu\/wp-content\/uploads\/2017\/04\/covoting_hou111_wlabels.xlsx\" target=\"_blank\" rel=\"noopener\">Covoting_111H.xlsx<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Updated February 8, 2018 Downloading data from this page implies that agreement with the following restrictions: These data are not to be used for commercial <a class=\"gmuj-read-more-link\" title=\"Read More\" href=\"https:\/\/jvictor.schar.gmu.edu\/index.php\/data-download\/\">[&hellip;]<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/template-full-width.php","meta":{"footnotes":""},"class_list":["post-81","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - 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