https://master--usauthoritarianism.netlify.app/post/ Recent content in Posts on Authoritarianism in the United States Hugo -- gohugo.io &copy; 2021 <a href="https://www.wangchucheng.com/">C. Wang</a> and <a href="https://www.ruiqima.com/">R. Ma</a> Fri, 29 Apr 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-04-29-exploratory-data-analysis-and-visualization-continuation/ Fri, 29 Apr 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-04-29-exploratory-data-analysis-and-visualization-continuation/ #Exploratory Data analysis Exploratory Data Analysis involves the critical process of conducting initial investigations on data with the goal of discovering patterns, detecting anomalies, testing hypotheses, and testing assumptions using summary statistics and graphs. Our previous goal was to examine only the 2020 dataset for the following three attributes: 1. Relations among the four authoritarian categories: views on child rearing, views on women, international relations, and rural areas. 2. Comprehensive model of voting behavior based on aggregated scores, including state level fixed effects. https://master--usauthoritarianism.netlify.app/post/2022-04-29-tentative-thesis/ Fri, 29 Apr 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-04-29-tentative-thesis/ As we examine the relationship between authoritarianism and elections from 2000 to 2020, we expect to find that over the course of the last six elections, authoritarianism has been on the rise. Provided the earlier evidence on the partisan divide over authoritarianism we expect this trend correlates, at the state level, with electoral success for Republican candidates for President. That is, states won by Republican presidential candidates are more likely to have a higher authoritarian score based on ANES survey data. https://master--usauthoritarianism.netlify.app/post/2022-04-15-interactive-ideas/ Fri, 15 Apr 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-04-15-interactive-ideas/ Interactive Idea With our interactive we plan to have users select a state of their choosing and allow them to explore different authoritarianism variables within that state. These variables could be selected from a list; such variables could include “nationalism”, “party preference”, etc. Each variable could include a short description and showcase what questions form the variable. For instance a question referring to nationalism may be- “Better if rest of world more like America”. https://master--usauthoritarianism.netlify.app/post/2022-04-04-a-cross-analysis-of-data-sets/ Mon, 04 Apr 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-04-04-a-cross-analysis-of-data-sets/ The current data from the American National Elections Studies specifically covers not just the recent 2020 presidential election, but also measured numerous qualities/characteristics of a large sample of voters. Such measurements include (besides traditional measurements such as partisan affiliation) attitudes towards women, rural attitudes towards government, and child development (whether or not a child should be raised to be independent or reliant on authorities for instance). However, the current data set by itself does not provide enough information with the current data analysis to accurately depict the levels/attitudes towards a more authoritarian government. https://master--usauthoritarianism.netlify.app/post/2022-04-01-a-deeper-look-into-the-data/ Fri, 01 Apr 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-04-01-a-deeper-look-into-the-data/ source(here::here(&quot;static&quot;, &quot;load_and_clean_data.R&quot;), echo=FALSE) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ── ## ✓ ggplot2 3.3.5 ✓ purrr 0.3.4 ## ✓ tibble 3.1.6 ✓ dplyr 1.0.7 ## ✓ tidyr 1.1.3 ✓ stringr 1.4.0 ## ✓ readr 2.0.1 ✓ forcats 0.5.1 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## x dplyr::filter() masks stats::filter() ## x dplyr::lag() masks stats::lag() First, a quick note on blog post #2: a few variables were improperly coded. I’ve corrected them and adjust the analysis, which is now much more in line with theory. https://master--usauthoritarianism.netlify.app/post/2022-03-26-data-equity/ Sat, 26 Mar 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-03-26-data-equity/ A data equity approach employs an equity-centered lens to ensure data is gathered, analyzed, interpreted, and shared without bias or exclusion. It emphasizes marginalized communities’ unequal access to data and their harm when data is misused. For more than 40 years, the Belmont Report has guided protections of human subjects based on three principles - beneficence, respect for persons, and justice. Transparency of the data set chosen is maintained in order to avoid any discredited results generated from the analysis. https://master--usauthoritarianism.netlify.app/post/2022-03-18-data-cleaning-and-analysis/ Fri, 25 Mar 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-03-18-data-cleaning-and-analysis/ Data Cleaning The first step in our project is to clean the ANES survey data. Our primary question of interest is the relationship between authoritarianism and voting behavior, so we first isolate only the variables of interest into a new dataset. The included variables are: V202065x, combined data of the two the respondents party of registration where 1 = Democrat, 2= Republican, 4 = None or ‘independent’ and 5 = ‘Other’. https://master--usauthoritarianism.netlify.app/post/2022-02-28-data-proposals/ Mon, 28 Feb 2022 00:00:00 +0000 https://master--usauthoritarianism.netlify.app/post/2022-02-28-data-proposals/ Dataset 1 Our first proposed dataset we are interested in working with is the American National Election Survey Data from the 2020 election, perhaps to examine the role authoritarian values played in the electorate in the most recent presidential election. Working with their historical time series data could also help us examine the rise of authoritarianism in the 21st century. ANES data can be found at the election survey data center. The American National Election Survey is a nationwide survey in the United States taken every four years since 1948.