Center for Women's Health Research, Department of Medicine, University of Wisconsin-Madison.
Department of Counseling Psychology, University of Wisconsin-Madison.
J Couns Psychol. 2017 Nov;64(6):645-658. doi: 10.1037/cou0000219.
Self-efficacy beliefs are strong predictors of academic pursuits, performance, and persistence, and in theory are developed and maintained by 4 classes of experiences Bandura (1986) referred to as sources: performance accomplishments (PA), vicarious learning (VL), social persuasion (SP), and affective arousal (AA). The effects of sources on self-efficacy vary by performance domain and individual difference factors. In this meta-analysis (k = 61 studies of academic self-efficacy; N = 8,965), we employed B. J. Becker's (2009) model-based approach to examine cumulative effects of the sources as a set and unique effects of each source, controlling for the others. Following Becker's recommendations, we used available data to create a correlation matrix for the 4 sources and self-efficacy, then used these meta-analytically derived correlations to test our path model. We further examined moderation of these associations by subject area (STEM vs. non-STEM), grade, sex, and ethnicity. PA showed by far the strongest unique association with self-efficacy beliefs. Subject area was a significant moderator, with sources collectively predicting self-efficacy more strongly in non-STEM (k = 14) compared with STEM (k = 47) subjects (R2 = .37 and .22, respectively). Within studies of STEM subjects, grade level was a significant moderator of the coefficients in our path model, as were 2 continuous study characteristics (percent non-White and percent female). Practical implications of the findings and future research directions are discussed. (PsycINFO Database Record
自我效能信念是学业追求、表现和坚持的强有力预测因素,理论上是由班杜拉(1986)称之为来源的 4 类经验发展和维持的:绩效成就(PA)、替代学习(VL)、社会说服(SP)和情感唤起(AA)。来源对自我效能的影响因表现领域和个体差异因素而异。在这项荟萃分析(k=61 项学术自我效能研究;N=8965)中,我们采用了 B. J. Becker 的基于模型的方法来检查来源作为一个整体的累积效应和每个来源的独特效应,同时控制了其他来源。根据 Becker 的建议,我们使用可用数据为 4 个来源和自我效能创建了一个相关矩阵,然后使用这些元分析得出的相关系数来检验我们的路径模型。我们进一步研究了这些关联的调节作用,包括学科领域(STEM 与非 STEM)、年级、性别和种族。PA 与自我效能信念之间存在着迄今为止最强烈的独特关联。学科领域是一个重要的调节因素,与非 STEM(k=14)相比,来源总体上更能预测 STEM(k=47)学科的自我效能(R2=0.37 和 0.22)。在 STEM 学科的研究中,年级水平是我们路径模型中系数的一个显著调节因素,还有 2 个连续的研究特征(非白人和女性的百分比)也是如此。讨论了研究结果的实际意义和未来的研究方向。