论文标题
使用顺序数据评估远程学习
Using Ordinal Data to Assess Distance Learning
论文作者
论文摘要
关于李克特量表数据应视为序数还是连续的，存在一些分歧。本文将李克特数据视为有序的，使用非参数假设检验，并聚类来验证那些具有假设检验的显着结果的变量。
There is some disagreement on whether Likert scale data should be treated as ordinal or continuous. This paper treats Likert data as ordinal, uses non-parametric hypothesis testing, and clustering to validate those variables that have significant results from hypothesis testing.
