软件工程自我效能感量表（SESES）的设计、开发及初步效度与信度证据

中文摘要 AI 辅助

本研究的目的是设计、开发、实施软件工程自我效能感量表（SESES），并提供其初步效度与信度证据。在采用软件工程课程与概念指导以及自我效能感概念的概念框架下，我们生成了一个包含 n=87 个条目的初始条目池，以操作化和测量本科计算学生的软件工程自我效能感。该概念框架涵盖五个维度：1）需求工程，2）团队合作与协作，3）软件质量管理，4）软件设计与架构，以及5）软件敏捷方法论。我们对 n=527 名在当前学期或前一学期完成软件工程课程的本科计算学生进行了 SESES 的试点测试。我们采用主轴因子分解法和斜交（Promax）旋转的探索性因子分析（EFA）来检验 SESES 的潜在结构，结果产生了与概念框架相同的五个内部一致的潜在构念，且模式矩阵中交叉载荷极小、结构简单，解释了这些数据中约 57% 的变异性。我们的研究结果表明，软件工程自我效能感是一个由五个理论化且相关但不同的潜在因子构成的多维构念。在利用必要的领域特定测量来探索本科计算学生的软件工程自我效能感时，我们阐述了研究的局限性和界定范围。

英文摘要

The purpose of this research is to design, develop, implement, and provide preliminary validity and reliability evidence of the Software Engineering Self-Efficacy Scale (SESES). Framed by a conceptual framework using guidance in software engineering curriculum and concepts along with the notion of self-efficacy, we generated an initial item pool of n = 87 items to operationalize and measure software engineering self-efficacy among undergraduate computing students. The conceptual framework traces five dimensions: 1) Requirements Engineering, 2) Teamwork and Collaboration, 3) Software Quality Management, 4) Software Design and Architecture, and 5) Software Agile Methodologies. We pilot tested the SESES with n = 527 undergraduate computing students who had completed a software engineering course in the current semester or a previous academic semester. We employed Exploratory Factor Analysis (EFA) with the Principal Axis Factoring method and an oblique (Promax) rotation to examine the underlying structure of the SESES, resulting in the same five internally consistent latent constructs in the conceptual framework with minimal cross-loading and a simple structure in the pattern matrix, explaining approximately 57% of the variability in these data. Our findings suggest that software engineering self-efficacy is a multidimensional construct of five theorized and correlated, yet distinct latent factors. We unpack the limitations and delimitations of the research while exploring undergraduate computing students' software engineering self-efficacy using necessary domain-specific measurements.

发表机构

• University of Florida（佛罗里达大学）
• Georgia Institute of Technology（佐治亚理工学院）

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