定量方法的认识论新视角:以拓扑数据分析为例

Allison Godwin, B. Benedict, Jacqueline Rohde, Aaron Thielmeyer, H. Perkins, Justin C. Major, H. Clements, Zhihui Chen
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引用次数: 4

摘要

背景:教育研究者使用定量方法来研究现象或行为中可概括的相关趋势或因果机制。这些方法源于(后)实证主义认识论,通常依赖于使用群体或类别的手段来确定重要结果的统计方法。这些结果通常可以使一个群体的所有成员都知道,在一些可量化的误差范围内是可知的真理。此外,大多数人的态度和信念(例如,在工程领域,白人顺性男性)经常主导得出的结论,而低估了少数人的反应。近年来,工程教育研究在认识论和方法论上追求更加多样化的视角。然而,定量方法在其基本的认识论框架、目标和实践中仍然相对固定。目的:在这篇理论论文中,我们讨论了传统定量方法的认识论基础,并描述了新的定量方法的机会,这些方法扩展了构建和开展定量研究的可能途径——以人为本的分析。本文邀请读者重新审视定量研究方法。本文讨论了工程教育中新的定量方法的挑战和机遇,特别是在与传统统计方法相关的有限的认知框架中。在不同的认识论范式和研究方法中,考虑了以人为中心的分析的优点。然后,我们提供了一个以人为中心的方法,拓扑数据分析(TDA)的例子,以说明可以从以人为中心的分析中获得的独特见解。TDA是一种统计方法,用于映射高维数据的底层结构。讨论/结论:本文对工程教育研究中的定量方法论和方法进行了探讨,提供了新的认识论途径。考虑定量研究的基本认知框架可以扩展可以提出和回答的问题种类。这些新方法为开展更具解释性和包容性的定量研究提供了途径。
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New Epistemological Perspectives on Quantitative Methods: An Example Using Topological Data Analysis
Background: Education researchers use quantitative methodologies to examine generalizable correlational trends or causal mechanisms in phenomena or behaviors. These methodologies stem from (post)positivist epistemologies and often rely on statistical methods that use the means of groups or categories to determine significant results. The results can often essentialize findings to all members of a group as truth knowable within some quantifiable error. Additionally, the attitudes and beliefs of the majority (i.e., in engineering, White cis men) often dominate conclusions drawn and underemphasizes responses from minoritized individuals. In recent years, engineering education research has pursued more epistemologically and methodologically diverse perspectives. However, quantitative methodologies remain relatively fixed in their fundamental epistemological framings, goals, and practices. Purpose: In this theory paper, we discuss the epistemic groundings of traditional quantitative methods and describe an opportunity for new quantitative methods that expand the possible ways of framing and conducting quantitative research—person-centered analyses. This article invites readers to re-examine quantitative research methods. Scope: This article discusses the challenges and opportunities of novel quantitative methods in engineering education, particularly in the limited epistemic framings associated with traditional statistical methods. The affordances of person-centered analyses within different epistemological paradigms and research methods are considered. Then, we provide an example of a person-centered method, topological data analysis (TDA), to illustrate the unique insights that can be gained from person-centered analyses. TDA is a statistical method that maps the underlying structure of highly dimensional data. Discussion/Conclusions: This article advances the discussion of quantitative methodologies and methods in engineering education research to offer new epistemological approaches. Considering the foundational epistemic framings of quantitative research can expand the kinds of questions that can be asked and answered. These new approaches offer ways to conduct more interpretive and inclusive quantitative research.
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