An Analysis of High and Low Intercorrelations between Mathematics Self-Efficacy, Anxiety, and Achievement Variables: A Prerequisite for a Reliable Factor Analysis
Joint Authors
Tossavainen, Timo
Bergqvist, Erik
Johansson, Maria
Source
Education Research International
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper draws on data from a quantitative study of upper secondary students’ general mathematical self-efficacy, anxiety towards mathematics, and their relationship to achievement in mathematics.
The main objective of this article is to discuss the type of information that may be lost if potential problems of validity and extreme multicollinearity in exploratory factor analysis would be solved by only removing variables without doing a profound analysis.
We also describe a method that treats Likert items in the questionnaire as ordinal variables that may represent the underlying continuous variable.
Our study shows, for example, that removal of problematic variables without a profound analysis leads to a loss of significant information about test anxiety.
Our qualitative analysis of problematic variables also led to an unexpected finding regarding the relationship between general mathematical self-efficacy and motivational values in mathematics.
American Psychological Association (APA)
Bergqvist, Erik& Tossavainen, Timo& Johansson, Maria. 2020. An Analysis of High and Low Intercorrelations between Mathematics Self-Efficacy, Anxiety, and Achievement Variables: A Prerequisite for a Reliable Factor Analysis. Education Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1158929
Modern Language Association (MLA)
Bergqvist, Erik…[et al.]. An Analysis of High and Low Intercorrelations between Mathematics Self-Efficacy, Anxiety, and Achievement Variables: A Prerequisite for a Reliable Factor Analysis. Education Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1158929
American Medical Association (AMA)
Bergqvist, Erik& Tossavainen, Timo& Johansson, Maria. An Analysis of High and Low Intercorrelations between Mathematics Self-Efficacy, Anxiety, and Achievement Variables: A Prerequisite for a Reliable Factor Analysis. Education Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1158929
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158929