<?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>Replication Data for: "The curve not taken. Effects of COVID-19 international comparison news"</titl><IDNo agency="handle">hdl:21.15109/CONCORDA/LVBSGU</IDNo></titlStmt><distStmt><distrbtr source="archive">ARP</distrbtr><distDate>2020-09-03</distDate></distStmt><verStmt source="archive"><version date="2024-03-25" type="RELEASED">2</version></verStmt><biblCit>Kim, Seonwoo, 2020, "Replication Data for: "The curve not taken. Effects of COVID-19 international comparison news"", https://hdl.handle.net/21.15109/CONCORDA/LVBSGU, ARP, V2, UNF:6:XlTCXXjqTZgfuTdzpyJrdg== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: "The curve not taken. Effects of COVID-19 international comparison news"</titl><IDNo agency="handle">hdl:21.15109/CONCORDA/LVBSGU</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Louisiana State University">Kim, Seonwoo</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">ARP</distrbtr><contact affiliation="Louisiana State University" email="kr.seonwoo@gmail.com">Kim, Seonwoo</contact><depositr>Kim, Seonwoo</depositr><depDate>2020-08-21</depDate></distStmt><holdings URI="https://hdl.handle.net/21.15109/CONCORDA/LVBSGU"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>fakeDoiMigrationDone</keyword></subject><abstract>These files are for the full replication of results in "The curve not taken: Effects of COVID-19 international comparison news" submitted in 2020 in PLOS ONE. The R markdown shows all the analyses using the spss data.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f139" URI="https://repo.researchdata.hu/api/access/datafile/139"><fileTxt><fileName>The Curve Not Taken_data.tab</fileName><dimensns><caseQnty>891</caseQnty><varQnty>27</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:XlTCXXjqTZgfuTdzpyJrdg==</notes></fileDscr><dataDscr><var ID="v326" name="ResponseId" intrvl="discrete"><location fileid="f139"/><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bBz33KNJ3pkn5Td7lNg/Ig==</notes></var><var ID="v313" name="treatment" intrvl="discrete"><location fileid="f139"/><catgry><catValu>3</catValu><labl level="category">Policy comparison</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">Outcome comparison</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Control: COVID update with no comparison</labl><catStat type="freq">0</catStat></catgry><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hvO67HleseVxIx/Bydc8+g==</notes></var><var ID="v330" name="factcheck" intrvl="discrete"><location fileid="f139"/><sumStat type="vald">848.0</sumStat><sumStat type="invd">43.0</sumStat><sumStat type="mean">0.48938679245283023</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.5001823529718016</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YJh3CvA8kL7ns/2pfiGXIA==</notes></var><var ID="v322" name="defense" intrvl="discrete"><location fileid="f139"/><sumStat type="stdev">0.5002728087813608</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.4952830188679244</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">848.0</sumStat><sumStat type="invd">43.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p6RPmeK4Oo8Pm3uQBFGk9A==</notes></var><var ID="v334" name="racism" intrvl="discrete"><location fileid="f139"/><sumStat type="mode">.</sumStat><sumStat type="vald">848.0</sumStat><sumStat type="mean">0.5070754716981133</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">43.0</sumStat><sumStat type="stdev">0.5002449779666823</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:z+l7TS494BZv7hKA0oZL6g==</notes></var><var ID="v332" name="gender" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your gender?</labl><sumStat type="stdev">0.5041689508642937</sumStat><sumStat type="invd">13.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">878.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.4134396355353074</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">Male</labl><catStat type="freq">520</catStat></catgry><catgry><catValu>2</catValu><labl level="category">Female</labl><catStat type="freq">353</catStat></catgry><catgry><catValu>3</catValu><labl level="category">Other</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M3ibdctHNGeLDjhqj22m/w==</notes></var><var ID="v321" name="age" intrvl="discrete"><location fileid="f139"/><labl level="variable">How old are you?</labl><sumStat type="stdev">11.83145291383856</sumStat><sumStat type="vald">878.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">35.0</sumStat><sumStat type="min">18.0</sumStat><sumStat type="max">82.0</sumStat><sumStat type="mean">37.92710706150341</sumStat><sumStat type="invd">13.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BfgSTATWh6FBaIt9ou3rBQ==</notes></var><var ID="v331" name="RaceWhite" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your race/ethnicity? White or Caucasian</labl><sumStat type="medn">1.0</sumStat><sumStat type="vald">855.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">36.0</sumStat><sumStat type="stdev">0.43070261836937146</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.7543859649122806</sumStat><sumStat type="min">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">White or Caucasian</labl><catStat type="freq">645</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RDGMf9JoPFVZPIboTzNvKQ==</notes></var><var ID="v325" name="RaceBlack" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your race/ethnicity? Black or African American</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">812.0</sumStat><sumStat type="stdev">0.37031582022574694</sumStat><sumStat type="mean">0.1637931034482759</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">79.0</sumStat><catgry><catValu>1</catValu><labl level="category">Black or African American</labl><catStat type="freq">133</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PoEMU26CNZcVoIqNX1zRxw==</notes></var><var ID="v317" name="RaceAsian" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your race/ethnicity? Asian</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.05992509363295879</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">90.0</sumStat><sumStat type="stdev">0.2374963039333923</sumStat><sumStat type="vald">801.0</sumStat><catgry><catValu>1</catValu><labl level="category">Asian</labl><catStat type="freq">48</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ISodH9+AY9yuBukd9pLeeg==</notes></var><var ID="v319" name="RaceHispa" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your race/ethnicity? Hispanic or Latino</labl><sumStat type="vald">798.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">93.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.06390977443609025</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.24474553785169947</sumStat><sumStat type="min">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">Hispanic or Latino</labl><catStat type="freq">51</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1p6HVXxvSExQXVZAOyRDbg==</notes></var><var ID="v327" name="RaceOther" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your race/ethnicity? Other</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.013836477987421375</sumStat><sumStat type="invd">96.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">795.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.1168854783130758</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">Other</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Bq5aDBfOrwnja1Q/kKmzHw==</notes></var><var ID="v314" name="edu" intrvl="discrete"><location fileid="f139"/><labl level="variable">What is your highest level of formal education completed?</labl><sumStat type="mean">6.884965831435079</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="min">2.0</sumStat><sumStat type="stdev">0.8788543056202993</sumStat><sumStat type="max">8.0</sumStat><sumStat type="invd">13.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">878.0</sumStat><catgry><catValu>4</catValu><labl level="category">GED</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>7</catValu><labl level="category">4 year college degree</labl><catStat type="freq">485</catStat></catgry><catgry><catValu>2</catValu><labl level="category">Eighth grade or below</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">Graduate or professional degree</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>3</catValu><labl level="category">Some high school</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">High School Graduate</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>6</catValu><labl level="category">Some college</labl><catStat type="freq">147</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0Ue4+DaR8W0KTXCOOymbkw==</notes></var><var ID="v324" name="polParty" intrvl="discrete"><location fileid="f139"/><labl level="variable">Which political party do you prefer?</labl><sumStat type="min">1.0</sumStat><sumStat type="stdev">0.6325064545777211</sumStat><sumStat type="invd">13.0</sumStat><sumStat type="vald">878.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.6605922551252847</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">Republican Party</labl><catStat type="freq">375</catStat></catgry><catgry><catValu>2</catValu><labl level="category">Democratic Party</labl><catStat type="freq">426</catStat></catgry><catgry><catValu>3</catValu><labl level="category">Not even a slight preference for either party</labl><catStat type="freq">77</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:deva1Y/fKrxutNjjbVl0xA==</notes></var><var ID="v328" name="Compa1" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - South Korea used widespread testing and tracking people's movements to isolate people who might be infected.</labl><sumStat type="medn">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">5.5587529976019185</sumStat><sumStat type="stdev">1.2897327971390913</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">834.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">57.0</sumStat><catgry><catValu>4</catValu><labl level="category">4 Don't know</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2VcVIjV0lX1H1adTlyBt2w==</notes></var><var ID="v337" name="Compa3" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - South Korea mostly shut down its economy to suppress its outbreak.</labl><sumStat type="max">7.0</sumStat><sumStat type="invd">57.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">1.9227647108771098</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">834.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.4412470023980815</sumStat><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">117</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4 Don't know</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yB5erbYEukY94f/0hKBpfw==</notes></var><var ID="v320" name="Compa8" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - The U.S. is currently doing as much as South Korea did when it succeeded in reducing its outbreak.</labl><sumStat type="medn">4.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">3.881294964028778</sumStat><sumStat type="vald">834.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.998573381177329</sumStat><sumStat type="invd">57.0</sumStat><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4 Don't know</labl><catStat type="freq">128</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">83</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DQ3ZIUX+waJ4CYEbQcqJJQ==</notes></var><var ID="v335" name="ExpertPer4" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - We should wait until we have more COVID-19 testing capability before re-opening the economy.</labl><sumStat type="min">1.0</sumStat><sumStat type="stdev">1.603792410879667</sumStat><sumStat type="vald">832.0</sumStat><sumStat type="invd">59.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">5.367788461538463</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">6.0</sumStat><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">216</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">29</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LwikpNsu2ITfubw7PMTC7Q==</notes></var><var ID="v315" name="ExpertPer5" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - We should wait until we have a system to trace contracts of infected people before re-opening the economy.</labl><sumStat type="min">1.0</sumStat><sumStat type="vald">832.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">1.6783971444361814</sumStat><sumStat type="mean">5.085336538461537</sumStat><sumStat type="invd">59.0</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">206</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oCRPhN1wbneXqvcMhZ/H/g==</notes></var><var ID="v333" name="Crespon2" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - COVID-19 spread widely in the U.S. because of the Trump Administration.</labl><sumStat type="max">7.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mean">4.616586538461538</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.9521012486346243</sumStat><sumStat type="invd">59.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">832.0</sumStat><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">171</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gKCc8yEqDlDfb207RMc7pA==</notes></var><var ID="v318" name="polAtti2.8" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree with the following statements? - The government should use cellular data to track citizens' potential exposure to COVID-19</labl><sumStat type="stdev">1.915476133356437</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">832.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">4.356971153846154</sumStat><sumStat type="invd">59.0</sumStat><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">116</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wWBZnfo9qwu3JfgtpFmXrA==</notes></var><var ID="v316" name="polAtti2.9" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree with the following statements? - Government should create a phone app that allows people to report symptoms</labl><sumStat type="max">7.0</sumStat><sumStat type="stdev">1.7018253101542438</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mean">5.0625</sumStat><sumStat type="vald">832.0</sumStat><sumStat type="invd">59.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">176</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QYC9p5CSmRrJEYMEZmKp5A==</notes></var><var ID="v338" name="HelAtti3" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - Tests for COVID-19 should be available to the general population</labl><sumStat type="medn">6.0</sumStat><sumStat type="mean">5.904933814681107</sumStat><sumStat type="vald">831.0</sumStat><sumStat type="stdev">1.2190702418853396</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">60.0</sumStat><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">359</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">154</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qY1He2W558A/qbcO2ycRIw==</notes></var><var ID="v323" name="HelAtti4" intrvl="discrete"><location fileid="f139"/><labl level="variable">How much do you agree or disagree with the following statements? - There should be more drive-thru testing centers</labl><sumStat type="invd">60.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.849578820697954</sumStat><sumStat type="stdev">1.2477436756904752</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">831.0</sumStat><catgry><catValu>1</catValu><labl level="category">1 Strongly disagree</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Strongly agree</labl><catStat type="freq">340</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">204</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KlW9xA4tdyaBxLwwspJeTg==</notes></var><var ID="v329" name="PolBias6" intrvl="discrete"><location fileid="f139"/><labl level="variable">For each of the following, how often do you think they set aside personal political views and make fair decisions based on evidence? - Scientists</labl><sumStat type="vald">829.0</sumStat><sumStat type="mean">5.599517490952955</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="stdev">1.289609070355604</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">62.0</sumStat><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">290</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Always</labl><catStat type="freq">222</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Never</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">171</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8+zTKdIRXxVQ+hFryXd6tg==</notes></var><var ID="v339" name="PolBias7" intrvl="discrete"><location fileid="f139"/><labl level="variable">For each of the following, how often do you think they set aside personal political views and make fair decisions based on evidence? - Doctors</labl><sumStat type="max">7.0</sumStat><sumStat type="mean">5.738238841978287</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="stdev">1.1631405454169554</sumStat><sumStat type="vald">829.0</sumStat><sumStat type="invd">62.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>7</catValu><labl level="category">7 Always</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Never</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">306</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iwGjAKTWklRk3LlG3BKqQA==</notes></var><var ID="v336" name="PolBias8" intrvl="discrete"><location fileid="f139"/><labl level="variable">For each of the following, how often do you think they set aside personal political views and make fair decisions based on evidence? - Epidemiologists (scientists who study infectious diseases)</labl><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.689987937273824</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="vald">829.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">1.2765664337423577</sumStat><sumStat type="invd">62.0</sumStat><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">280</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1 Never</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7 Always</labl><catStat type="freq">255</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pcxfO0UGr7mejIbv5854yg==</notes></var></dataDscr><otherMat ID="f140" URI="https://repo.researchdata.hu/api/access/datafile/140" level="datafile"><labl>The-Curve-Not-Taken_R_Markdown.html</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/html</notes></otherMat></codeBook>