领域(数学分析)
德国的
心理学
认知
因子(编程语言)
比例(比率)
结构方程建模
因子分析
发展心理学
社会心理学
认知心理学
统计
数学
计算机科学
数学分析
神经科学
程序设计语言
历史
考古
量子力学
物理
作者
Ulrich Keller,Anja Strobel,Romain Martin,Franzis Preckel
出处
期刊:European Journal of Psychological Assessment
[Hogrefe Publishing Group]
日期:2017-10-26
卷期号:35 (5): 607-616
被引量:14
标识
DOI:10.1027/1015-5759/a000437
摘要
Abstract. Need for Cognition (NFC) is increasingly investigated in educational research. In contrast to other noncognitive constructs in this area, such as academic self-concept and interest, NFC has consistently been conceptualized as domain-general. We employed structural equation modeling to address the question of whether NFC can be meaningfully and gainfully conceptualized as domain-specific. To this end, we developed a domain-specific 20-item NFC scale with parallel items for Science, Mathematics, German, and French. Additionally, domain-general NFC was assessed with five domain-general items. Using a cross-sectional sample of more than 4,500 Luxembourgish 9th graders, we found that a nested-factor model incorporating both a general factor and domain-specific factors better accounted for the data than a single-factor or a correlated-factor model. However, the influence of the general factor was markedly stronger than in corresponding models for academic self-concept and interest. When controlling for the domain-specific factors, only Mathematics achievement was significantly predicted by the domain-general factor, while all achievement measures (Mathematics, French, and German) were predicted by the corresponding domain-specific factor. The nested domain-specific NFC factors were clearly empirically distinguishable from first-order domain-specific interest factors.
科研通智能强力驱动
Strongly Powered by AbleSci AI