The Hidden Appeal and Aversion to Political Conspiracies as Revealed in the Response Dynamics of Partisans (Journal of Experimental and Social Psychology)
R Notebook tutorials of statistical procedures, including all R code, used to conduct analyses reported in Duran, Nicholson, and Dale (2017). Also included is the complete dataset used to perform statistical tests and to derive descriptives.
Complete data set that contains all variables necessary for replicating reported analyses and descriptives.
Explanation for each column and codes:
- Column A: subjnum: Subject number
- Column B: age: Age of subjects
- Column C: sex: 1 = male, 2 = female
- Colmnn D: trialnum: Order of trials
- Column E: questionType: Numeric identification code given to each unique statement
- Column F: resp_type: Was statement a general knowledge item (Gen Knowledge), Bush item (Left-wing), Obama item (Right-wing), or general conspiracy (Gen Conspiracy)?
- Column G: poliID2: Did participant identify as Republican or Democrat?
- Column H: explicit: Was statement worded in Direct (Reject as False) or Indirect (Accept as True) terms?
- Column I: endorse: Was statement a general knowledge item (K), answered to endorse a conspiracy ("C"), answered to disavow a conspiracy (NC)
- Column J: condition: Was statement a general knowledge item (GEN) or critical item (CRIT; i.e., an item that involved an opportunity to answer as endorsing or disavowing a potential conspiracy)
- Column K: topic: Redundant with resp_type; Was statement a general knowledge item (GK), Bush item (BO), Obama item (BO), or general conspiracy item (GC)
- Column L: variable: dependent variables; choice = Likert-confidence score, tottm = total time, latency = latency time, avgdeviat = average deviation
- Column M: value: score for each of the variables
R Analysis Code:
Each file contains the sequence of steps in R to generate the linear mixed effects models reported in manuscript for the average deviation, latency, and confidence variables, using data from Mouse-Traj-2GIT.csv described above. Allows for complete replication.
A collection of helper function files used in the above code for reporting analyses.
R Analysis Code (Executed):
Similiar to .Rmd files provided above, but with output of all commands displayed to correspond with data reported in the manuscript.
R Code For Descriptives:
R Code used to generate summary statistics and reported descriptives.
Misc: Response to Action Editor
A response to the action editor during the review process that provides rationale and interpretation for the statistical analysis in the manuscript using R and R Markdown. Commented throughout.