Abstract：
While explicit conceptual models help to inform research, they are left out of much of the health professions education (HPE) literature. One reason may be the limited understanding about how to develop conceptual models with intention and rigor. Group concept mapping (GCM) is a mixed methods conceptualization approach that has been used to develop frameworks for planning and evaluation, but GCM has not been common in HPE. The purpose of this article is to describe GCM in order to make it more accessible for HPE scholars. We recount the origins and evolution of GCM and summarize its core features: GCM can combine multiple stakeholder perspectives in a systematic and inclusive manner to generate explicit conceptual models. Based on the literature and prior experience using GCM, we detail seven steps in GCM: (1) brainstorming ideas to a specific \"focus prompt,\" (2) preparing ideas by removing duplicates and editing for consistency, (3) sorting ideas according to conceptual similarity, (4) generating the point map through quantitative analysis, (5) interpreting cluster map options, (6) summarizing the final concept map, and (7) reporting and using the map. We provide illustrative examples from HPE studies and compare GCM to other conceptualization methods. GCM has great potential to add to the myriad of methodologies open to HPE researchers. Its alignment with principles of diversity and inclusivity, as well as the need to be systematic in applying theoretical and conceptual frameworks to practice, make it a method well suited for the complexities of contemporary HPE scholarship.
摘要：
虽然明确的概念模型有助于为研究提供信息，他们被排除在许多卫生专业教育(HPE)文献之外。一个原因可能是对如何有意图和严谨地开发概念模型的理解有限。群体概念图(GCM)是一种混合方法概念化方法，已用于开发规划和评估框架，但GCM在HPE中并不常见。本文的目的是描述GCM，以使其更易于HPE学者使用。我们叙述了GCM的起源和演变，并总结了其核心特征：GCM可以以系统和包容的方式将多个利益相关者的观点结合起来，以生成明确的概念模型。根据文献和使用GCM的先前经验，我们在GCM中详细介绍了七个步骤：（1）将想法集思广益到特定的“焦点提示”，\“（2）通过删除重复项和编辑一致性来准备想法，(3)根据概念相似性对思路进行排序,(4)通过定量分析生成点图,(5)解释聚类图选项，（6）总结最终的概念图，(7)报告和使用地图。我们提供了HPE研究的说明性示例，并将GCM与其他概念化方法进行了比较。GCM具有巨大的潜力来增加对HPE研究人员开放的无数方法。它符合多样性和包容性的原则，以及将理论和概念框架应用于实践的系统性，使其成为一种非常适合当代HPE奖学金复杂性的方法。
