Replication Data for: The Higher Power of Religiosity over Personality on Political Ideology

Version 1.0
Ksiazkiewicz, Aleksander; Friesen, Amanda, 2019, "Replication Data for: The Higher Power of Religiosity over Personality on Political Ideology", https://doi.org/10.7910/DVN/YBCZHI, Harvard Dataverse, V1
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Description
Included are fifteen files for processing the data related to this paper. Please see the notes for details on how to use these files. (2019-08-17)
Subject Social Sciences
Keyword Religion; Religiosity; Personality; Ideology; Attitudes; Genetics; Twin Study
Notes For the U.S. data: 1) Download the data from its source here: https://www.unl.edu/polphyslab/data (Minnesota Twins Political Survey Dataset) 2) Convert the data from SPSS to Stata format using the R script "convert SPSS to Stata.R" 3) Open the data in Stata and clean using "US data cleaning.do" 4) For descriptive statistics, the paper tables, and supplemental tables S1-S3, run "Tables 1-3 and S1-S3" in Stata. For the US twin models reported in the text and in full in supplemental tables S4-S10, run the analyses in R using the twin scripts marked "US" (the main analyses are in the univariate, bivariate, and trivariate files; the Protestant and Catholic files are supplemental analyses only). The twin scripts require specific R packages (a particular version of OpenMx running in a compatible version of R), as described in the header. For the Australian data: 1) The Australian data (file named EG1EG2_RELIG.dta) is only available by data sharing agreement with Peter Hatemi and the Queensland Institute of Medical Research. To access the data, contact him at phatemi@gmail.com 2) Open the data in Stata and clean using "Australia data cleaning.do". 3) For descriptive statistics, the paper tables, and supplemental tables S1-S3, run "Tables 1-3 and S1-S3" in Stata. For the Australian twin models reported in the text and in full in supplemental tables S4-S10, run the analyses in R using the twin scripts marked "AU" (the main analyses are in the univariate, bivariate, and trivariate files; the Protestant and Catholic files are supplemental analyses only). The twin scripts require specific R packages (a particular version of OpenMx running in a compatible version of R), as described in the header.
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Australia data cleaning.do
Stata Syntax - 11.7 KB
Published Aug 17, 2019
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convert SPSS to Stata.R
R Syntax - 491 B
Published Aug 17, 2019
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MD5: b9fe4ab0f3b3ecb2d5a56f9df3f370ed
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genepihelperfunctions.R
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Published Aug 17, 2019
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MD5: ce76fb94e2e2511c111b36819e23bea8
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Tables 1-3 and S1-S3.do
Stata Syntax - 9.9 KB
Published Aug 17, 2019
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MD5: 2b209094f5bab0ec73277b79c6aa6ab3
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Twin script - bivariate - AU.R
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Published Aug 17, 2019
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Twin script - bivariate - US.R
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Published Aug 17, 2019
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MD5: 6638da31772d30684f0a6922fc8b5392
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Twin script - trivariate - AU.R
R Syntax - 19.3 KB
Published Aug 17, 2019
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MD5: 97f02c7d90c231aee5a51870c935deec
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Twin script - trivariate - US.R
R Syntax - 19.3 KB
Published Aug 17, 2019
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Twin script - univariate - AU - Catholic only.R
R Syntax - 16.6 KB
Published Aug 17, 2019
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MD5: 8e87afdcfcd5c6087f5f61d8ff144a90
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Twin script - univariate - AU - Protestant only.R
R Syntax - 16.6 KB
Published Aug 17, 2019
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MD5: e59b1b2750e883805db35b81f040f3b1
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