Probing the Underlying Structure of Modern Expectancy-Value Theory in Multicultural Education: A Bayesian Exploratory Factor Analysis

IF 1.1 Q4 PSYCHOLOGY, EDUCATIONAL
Yan Yang, Diana Mindrila
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引用次数: 3

Abstract

Expectancy-Value (EV) theory has been widely used in a plethora of domains except for multicultural education, a distinct and critical field in many countries due to increasing student diversity. In light of the domain-specific nature of the EV theory and the discrepancy between the theoretical framework and empirical models found in previous studies, the purpose of the present study was to explore the factors of the EV theory in multicultural education. Participants were 187 college students who completed the Multicultural Expectancy-Value Scale (EVS). Exploratory factor analysis (EFA) with Bayes estimation and GEOMIN rotation resulted in two factors: Value and Expectancy. The two factors had a positive significant correlation of .42, p<.001. Participants with a Master’s or Doctoral degree had significantly higher Expectancy beliefs in multicultural education than those with a Bachelor’s degree (t(47.727)=-2.90, p<.01). Although our finding was consistent with the major tenets of the theory that expectancy and value beliefs are two primary motivating factors, it did not fully support the theoretical model, indicating a more parsimonious factor structure may be more appropriate. The distinct factor model in our study suggests a need for further research in examining the structural validity of the EV theory in multicultural education 
多元文化教育中现代期望价值理论的深层结构探析——贝叶斯探索因素分析
期望值(EV)理论已被广泛应用于除多元文化教育之外的许多领域,多元文化教育是许多国家的一个独特而关键的领域,因为学生的多样性不断增加。鉴于EV理论的特定领域性质,以及先前研究中发现的理论框架和实证模型之间的差异,本研究的目的是探索EV理论在多元文化教育中的影响因素。参与者是187名完成了多元文化期望值量表(EVS)的大学生。采用贝叶斯估计和GEOMIN旋转的探索性因素分析(EFA)产生了两个因素:价值和期望。这两个因素的正相关系数为.42,p<0.001。具有硕士或博士学位的参与者在多元文化教育中的期望信念显著高于具有学士学位的参与者(t(47.727)=-2.90,p<0.01)。尽管我们的发现与期望和价值信念是两个主要激励因素的理论的主要原则一致,但它并不能完全支持理论模型,指示更简约的因子结构可能更合适。我们研究中的不同因素模型表明,需要进一步研究EV理论在多元文化教育中的结构有效性
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
13
审稿时长
8 weeks
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