Seifert T L
Faculty of Education, Memorial University of Newfoundland, Canada.
Br J Educ Psychol. 1995 Mar;65 ( Pt 1):125-38. doi: 10.1111/j.2044-8279.1995.tb01136.x.
A motivation questionnaire was completely by 79 grade five students. Responses were subjected to a factor analysis which was followed by a series of Pearson correlations between the resultant factor scores and measures of ability perceptions, self-worth, self-efficacy, success and failure attributions, positive and negative emotions, and preference for challenge. Responses were also subjected to a cluster analysis followed by a series of between-group contrasts with each of the aforementioned motivational constructs as the dependent variable and cluster membership as the independent variable. Factor analytic-correlational methodology was compared to cluster analysis with between-groups contrasts to determine the agreement between the two methods. While there was agreement in interpretation of the data, several discrepancies appeared. The conclusion is that cluster analysis may be a useful way to refine goal theory.
一份动机调查问卷由79名五年级学生完成。对回答进行了因素分析,随后对所得因素得分与能力认知、自我价值、自我效能、成败归因、积极和消极情绪以及对挑战的偏好等测量指标之间进行了一系列皮尔逊相关性分析。回答还进行了聚类分析,随后以上述每个动机结构为因变量、聚类成员为自变量进行了一系列组间对比。将因素分析-相关方法与具有组间对比的聚类分析进行比较,以确定两种方法之间的一致性。虽然在数据解释上存在一致性,但也出现了一些差异。结论是聚类分析可能是完善目标理论的一种有用方法。