VALUE OR STRUGGLE IN MULTICULTURAL EDUCATION? AN EXPLORATORY FACTOR ANALYSIS STUDY

被引:0
作者
Yang, Y. [1 ]
Mindrila, D. [1 ]
机构
[1] Univ West Georgia, Carrollton, GA 30118 USA
来源
EDULEARN18: 10TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES | 2018年
关键词
Expectancy-value theory; multicultural education; exploratory factor analysis; value; struggle; EXPECTANCY-VALUE THEORY; SAMPLE-SIZE; ACHIEVEMENT; MOTIVATION; STUDENTS; CHOICES;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
As an important motivation approach to learning, Expectancy-Value (EV) theory has been used in a wide range of fields from physical education to STEM education. However, no known studies to date have examined the underlying structure of EV theory in multicultural education, hence the purpose of this study. Participants were 121 college students who completed a survey assessing expectancy beliefs and task values. Exploratory factor analyses were performed comparing models with one, two, and three factors. The final model included two factors, labeled Value and Struggle. Value factor included 14 items, with loading ranging between .645 and .913. The marker item for this factor was "It is important to me personally to be proficient in cross-cultural communications". Struggle factor included 4 items, with loadings between .613 and .794. The marker item for this factor was "I am never good at communicating with people from different cultures". The two factors had a statistically significant negative correlation of -.232. Overall, we found partial conceptual support of EV theory into two distinct factors in the context of multicultural education: value and struggle, which is consistent with the tenets of the theory that the positive (value) and negative (struggle) task characteristics are primary motivating factors. Our study results showed that while multicultural education can be perceived with great value, the struggles that come with it may be a deterring factor. Further research needs to replicate our study to larger and more diverse samples to further examine the structural validity of the EV theory in multicultural education to help enhance the motivation and effectiveness of multicultural education.
引用
收藏
页码:7045 / 7049
页数:5
相关论文
共 50 条
  • [41] Exploratory factor analysis for small samples
    Jung, Sunho
    Lee, Soonmook
    BEHAVIOR RESEARCH METHODS, 2011, 43 (03) : 701 - 709
  • [42] Parsimonious in Factor Identification Using Exploratory Factor Analysis
    Jamil, Nur Izzah
    Rosle, Alia Nadira
    Ibrahim, Siti Sara
    Baharuddin, Farrah Nadia
    ADVANCED SCIENCE LETTERS, 2018, 24 (04) : 2514 - 2517
  • [43] A Beginner's Guide to Factor Analysis: Focusing on Exploratory Factor Analysis
    Yong, An Gie
    Pearce, Sean
    TUTORIALS IN QUANTITATIVE METHODS FOR PSYCHOLOGY, 2013, 9 (02) : 79 - 94
  • [44] Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis
    Hayton, JC
    Allen, DG
    Scarpello, V
    ORGANIZATIONAL RESEARCH METHODS, 2004, 7 (02) : 191 - 205
  • [45] An instrument to evaluate the impact of the higher education accreditation system: Validation through exploratory factor analysis
    Garcia-Domingo, Begona
    Rodriguez-Mantilla, Jesus M.
    Martinez-Zarzuelo, Angelica
    REVISTA ESPANOLA DE PEDAGOGIA, 2023, 81 (286): : 555 - 578
  • [46] Anxiety Sensitivity in School Attending Youth: Exploratory and Confirmatory Factor Analysis of the 18-Item CASI in a Multicultural South African Sample
    Martin, Lindi
    Kidd, Martin
    Seedat, Soraya
    FRONTIERS IN PSYCHOLOGY, 2016, 6
  • [47] An Exploratory Analysis of the Implementation and Use of an Intelligent Platform for Learning in Primary Education
    Lara Nieto-Marquez, Natalia
    Baldominos, Alejandro
    Cardena Martinez, Alejandro
    Perez Nieto, Miguel Angel
    APPLIED SCIENCES-BASEL, 2020, 10 (03):
  • [48] An exploratory study of service value in the USA and Ecuador
    Brady, MK
    Robertson, CJ
    INTERNATIONAL JOURNAL OF SERVICE INDUSTRY MANAGEMENT, 1999, 10 (05): : 469 - 486
  • [49] How Many Factors to Retain in Exploratory Factor Analysis? A Critical Overview of Factor Retention Methods
    Goretzko, David
    PSYCHOLOGICAL METHODS, 2025,
  • [50] Recommended Sample Size for Conducting Exploratory Factor Analysis on Dichotomous Data
    Pearson, Robert H.
    Mundfrom, Daniel J.
    JOURNAL OF MODERN APPLIED STATISTICAL METHODS, 2010, 9 (02) : 359 - 368