Author: janajarecki

Here, we're just setting a few options. Now, we're preparing our data for the codebook. Create codebook Metadata Description Dataset name: results The dataset has N=28 rows and 29 columns. 0 rows have no missing values on any column. Metadata for search engines Date published: 2020-08-26 x session created modified ended expired BFIK_open_2 BFIK_agree_4R BFIK_extra_2 BFIK_agree_1R BFIK_open_1 BFIK_neuro_2R BFIK_consc_3 BFIK_consc_4 BFIK_consc_2R BFIK_agree_3R BFIK_extra_3R BFIK_neuro_3 BFIK_neuro_4 BFIK_agree_2 BFIK_consc_1 BFIK_open_4 BFIK_extra_4 BFIK_extra_1R BFIK_open_3 BFIK_agree BFIK_open BFIK_consc BFIK_extra BFIK_neuro Codebook table { "name": "results", "datePublished": "2020-08-26", ...

This document describes the labels and content of variables in the data. Codebook for Choice Data Metadata Description Dataset name: Human risky choices with goals Repeated binary choices by adult humans among a high- and a low-variance two-outcome lottery, who were given a point goal to reach after a certain...