Data for: "Studying Attitudes Towards Vaccine Hesitance and California Law SB 277 in Online Discourse: A Dataset and Methodology"
收藏Mendeley Data2021-01-04 更新2026-04-09 收录
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资源简介:
This is an Excel spreadsheet that compiles the word frequency charts created and exported using NVivo during our study of attitudes towards Califonia law SB277, a vaccine mandate. There are eight total sheets representing the total dataset and then that dataset divided into three attitude categories ("vaccine supportive," "vaccine hesitant," and "neutral"). Each of those categories had two outputs, "stemmed" and "unstemmed." The latter compiled the raw lists of words in each category by frequency of use, while the former grouped words that began with the same collection of letters (e.g., "child" and "children").
本数据集为一份Excel电子表格,汇总了本研究在调研民众对加州疫苗强制法案SB277的态度期间,使用NVivo创建并导出的词频统计图表。数据集整体共包含8个工作表,涵盖完整数据集,以及按三类态度类别(「疫苗支持型」「疫苗犹豫型」与「中立型」)划分的子数据集。每一类态度类别均对应两种输出形式:词干化(stemmed)与未词干化(unstemmed)。其中未词干化形式会按照词汇的使用频率,汇总每个类别下的原始词汇列表;而词干化形式则会将共享相同词干的词汇进行归并,例如「child」与「children」。
创建时间:
2021-01-04



