Replication Data for: O IMPACTO DA PANDEMIA DE COVID-19 NA ATUAÇÃO DA BUROCRACIA DE NÍVEL DE RUA NO BRASIL

The data used in this article were collected using an instrument (survey) that sought to map the working conditions of street-level bureaucrats on the front lines of the COVID-19 pandemic. The glossary below summarizes all the variables present in the database and indicates which ones were used to construct the analysis of this article. The binary variables are coded as 0 = No and 1 = Yes. It should be noted that between the 1st and 2nd round of research, new questions were added. Questionnaires are also adapted for each policy. In terms of data analysis in the case of closed questions, the statistics presented in this article are purely descriptive, since they can only be seen as a kind of evaluation of the “interviewed” population (that is, 3,842 valid responses and subgroups). Based on the premise that all interviewees are street-level bureaucrats, the comparison is made proportionally in relation to each professional universe through contingency tables and graphs. The results do not allow for statistical inference, but describe an overview of more than 3,000 street-level bureaucrats in the context of the current pandemic. Concomitantly, we performed a qualitative analysis of open responses, based on the categorization of data for content analysis (Bardin, 1994; Saldaña, 2009)本文所用数据通过调研工具（调查问卷，survey）采集，旨在勾勒新冠疫情（COVID-19 pandemic）一线街头官僚（street-level bureaucrats）的工作状况。下文的术语表汇总了数据库中全部变量，并指明了本文分析所采用的变量子集。本数据库中二分类变量的编码规则为：0代表"否"，1代表"是"。需说明的是，在首轮与第二轮调研之间，调研新增了部分题目；此外，调查问卷亦针对不同政策场景进行了定制化调整。针对封闭式问题（closed questions）的数据分析环节，本文所呈现的统计结果均为纯描述性统计，因其仅可被视作对"受访"群体（即3842份有效回复及其子群体）的评估。基于所有受访者均为街头官僚这一前提，本文通过列联表（contingency tables）与图表，结合各职业范畴的占比开展对比分析。本研究结果无法进行统计推断，但可勾勒出当前疫情背景下三千余名街头官僚的整体概况。与此同时，本研究基于内容分析法（content analysis）的数据分类框架，对开放式问题的回复开展了质性分析（Bardin, 1994; Saldaña, 2009）