<p><strong>Exploratory + Confirmatory split Datasets</strong></p>
<p>1/3 of the datapoints from the full (deidentified) datasets were randomly selected on a per-site basis. These datasets are intended for exploratory analyses, which may then be confirmed on the remaining 2/3 of the dataset. These are intended for the Additional Analyses via Commentaries section of the <a href="https://osf.io/ejcfw/" rel="nofollow">proposal</a> (page 11). Now they are made public for general use.</p>
<p>Identical datasets are provided in .csv, .xlsx, .RData and .sav format for both slates. These are compiled into .zip files available here: <a href="https://osf.io/asqyu/" rel="nofollow">Exploratory 1/3 Split</a> and <a href="https://osf.io/jmza5/" rel="nofollow">Confirmatory 2/3 split</a></p>
<p><em>Note: Datasets were updated on April 4th 2018 with fixes to country coding for Belgium and Hong Kong sites</em></p>
<p><strong>Codebooks:</strong> To work with these data, <a href="https://osf.io/iumfx/" rel="nofollow">this component</a> contains codebooks and study files. In particular, <a href="https://osf.io/d7n5j/" rel="nofollow">ML2 Codebook for Primary Analyses</a> indicates which variables are used for which study, and how they are coded. </p>
<p><strong>Analysis scripts:</strong> An in-depth accounting of the R code used to generate results is available <a href="https://manylabsopenscience.github.io/ml2-analysis-how-to.html" rel="nofollow">here</a>. In particular, the <a href="https://docs.google.com/spreadsheets/d/1fqK3WHwFPMIjNVVvmxpMEjzUETftq_DmP5LzEhXxUHA/edit#gid=769239110" rel="nofollow">ML2_masteRkey spreadsheet</a> may be useful for checking analyses for those fluent in R.</p>
<p><strong>Removed variables per slate:</strong> The below variables were removed from these de-identified dataset to protect the privacy of participants. Some longer open-response variables were removed because participants could have responded with sensitive information. The full dataset containing these sensitive variables is available to all researchers who obtain IRB and/or ethical approval to analyze them. Contact the lead team for more information.</p>
<p><strong>Slate 1:</strong>
ResponseSet
Name
ExternalDataReference
EmailAddress
IPAddress
Status
kay1.1
kay1.2_7_TEXT
kay1.2_8_TEXT
kay1.2_9_TEXT
kay1.3
kay2.1
kay2.2_7_TEXT
kay2.2_8_TEXT
kay2.2_9_TEXT
kay2.3
and1.1
and2.1
age
sex
race
race.brazi
race.hunga
raceother
born
born.par
born.par2
borno
born.paro
born.par2o
hometown
politics
education
LocationLatitude
LocationLongitude
LocationAccuracy
credit
RID
MID
race.nz_1
race.nz_2
race.nz_3
race.nz_4
race.nz_5
race.nz_6
race.nz_7
race.nz_9
race.nz_10
race.pol
race.safri
race.chi10
race.chil1
race.cost1
race.mex
race.uru
race.swe
race.turk1
race.uae
comments
race.ger
credit_1_TEXT
credit_2_TEXT</p>
<p><strong>Slate 2:</strong>
ResponseSet
Name
ExternalDataReference
EmailAddress
IPAddress
Status
id
sava1.2
sava1.3
sava1.7
sava1.8
sava1.12
sava1.13
sava1.18
sava1.19
sava1.24
sava1.25
sava1.30
sava1.31
sava1.36
sava1.37
sava1.41
sava1.42
sava2.2
sava2.3
sava2.7
sava2.8
sava2.12
sava2.13
sava2.18
sava2.19
sava2.24
sava2.25
sava2.30
sava2.31
sava2.36
sava2.37
sava2.41
sava2.42
zhon1.1
zhon2.1
zav.int.1
zav1.1
zav1.2
zav1.3
zav1.4
zav1.5
zav1.6
zav1.7
zav1.8
zav1.9
zav1.10
zav1.11
zav1.12
zav1.13
zav2.1
zav2.2
zav2.3
zav2.4
zav2.5
zav2.6
zav2.7
zav2.8
zav2.9
zav2.10
zav2.11
zav2.12
zav2.13
age
sex
race
raceother
born
born.par
born.par2
hometown
education
LocationLatitude
LocationLongitude
LocationAccuracy
political
race.uae
credit
RID
MID
race.nz_1
race.nz_2
race.nz_3
race.nz_4
race.nz_5
race.nz_6
race.nz_7
race.nz_8
race.nz_10
credit_1_TEXT
credit_2_TEXT
race.pol
born.other
born.par.o
born.par2o
credit1
credit2
credit3
hearing
comments
race.ger</p>
