Mathematics Teaching Anxiety Scale: Construction, Reliability and Validity
Abstract
This
study aimed to develop mathematics teaching anxiety scale for prospective
primary school teachers. It was designed based on survey method and conducted
with four sampling group consisting of 956 prospective primary school teachers
at Education Faculties in Turkey. First sampling group was consisted of 404
prospective primary school teachers and 96 out of it were involved in the
application of open-ended questions and 308 were involved in exploratory factor
analysis. 305 prospective primary school teachers in the second sampling group
participated in the confirmatory factor analysis, 108 prospective teachers in
the third group were involved in criterion validity and 139 prospective
teachers in the fourth one participated in the test-retest reliability
analysis. As a result of the principal component analysis of the Mathematics
Teaching Anxiety Scale (MTAS), it was found that the scale indicating single factor structure and consisting of 31
items (47.43% of the total variance). After suggested modifications, the scale
MTAS was constructed with 19 items. 12 items were removed from the scale and
the confirmatory factor analysis (CFA) was carried out with 19 items. According
to CFA results (0≤X2 / df = 1.483≤2, RMSEA = 0.040, RMR = 0.050, AGFI = 0.908,
TLI = 0.972, CFI = 0.976, IFI = 0.976, GFI = 0.928, NFI = 0.930 and RFI =
0.919), it was confirmed that the scale structure was consisting of 19 items
and one dimension. Cronbach's alpha coefficient of the final form of
Mathematics Teaching Anxiety Scale was calculated as 0.93.
Keywords
References
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Details
Primary Language
English
Subjects
Studies on Education
Journal Section
Research Article
Authors
Vesile Alkan
*
0000-0002-8630-3357
Türkiye
Tolga Coşguner
This is me
Türkiye
Yücel Fidan
This is me
Türkiye
Publication Date
October 15, 2019
Submission Date
June 27, 2019
Acceptance Date
September 25, 2019
Published in Issue
Year 2019 Volume: 6 Number: 3
Cited By
Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education
Journal of Electrical and Computer Engineering
https://doi.org/10.1155/2022/4348613