本文通过序值分析，试图解决定量经验研究中经常面临的两个重要问题：一是定序变量的描述统计缺乏统计量及其统计检验；二是量表分析仅关注测量结构，不关注测量制式。这两个问题常导致参数解释和研究结论出现偏差。本文以阶层主观认同和国家认同研究为示例，探讨了不同统计量和分析方法所带来的偏差以及采用序值分析来消除这些偏差的可行性。

Through ridit analysis, this paper attempts to address two important problems often faced in quantitative empirical research: first, the lack of statistics and their statistical tests for descriptive statistics of ordinal variables; and second, the problem that scale analysis focuses only on measurement structure and not on measurement format. These two problems lead to biases in parameter interpretation and research findings. Using subjective social status identity and national identity studies as examples, this article explores the biases introduced by different statistical measures and analysis methods, and the feasibility of using ridit analysis to eliminate these biases.

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