关注场景的结构特征：关于预期频率、偏差和卡方贡献的活动

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The quantitative methods for psychology Pub Date : 2022-07-01 DOI:10.20982/tqmp.18.2.v001

Véronique Chadillon-Farinacci

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引用次数: 0

摘要

在这篇论文中，我提出了一种教授统计学的方法，帮助学生重新使用问题的结构特征来解释这些特征。它包括通过在给定的故事之后提供相应的类比例子来解释概念。预期频率、偏差和卡方贡献与一个故事有关，在这个故事中，六个人在地理教学课程中发现了代币。该活动使学生能够逐步理解卡方统计测试的这三个要素。该活动还允许讨论独立性卡方检验的好处，即与可能显示虚假结果的比例相比，其附加值

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Focusing on structural features of a scenario: An activity on expected frequencies, deviations, and chi-square contributions

In this paper, I present a way to teach statistics by helping students reuse structural features of a problem to interpret those features. It consists of explaining concepts by presenting corresponding analogical examples following a given story. Expected frequencies, deviations and chi-square contributions are presented in relation to a story where six people found tokens on a geocaching course. The activity prepares students to gradually interpret these three elements of the chi-square statistic test on their own. The activity also allows for a discussion about beneﬁts of the chi-square test of independence, namely its added value compared to proportions that can show spurious results

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The quantitative methods for psychology

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