Developing an attitude scale for mathematics education courses via fuzzy statistics

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Abstract

The aim of this study is to develop an attitude scale for mathematics education courses via fuzzy statistics. Researchers have determined the items of the scale by searching through the literature and expert opinion has been taken. After that they have prepared a draft scale with 40 items. The scale has been conducted on a total of 450 prospective teachers studying at Division of Mathematics Education and Department of Primary Mathematics Education at the Faculty of Education in Hacettepe University and Bal kesir University. Excel and SPSS 11.5 have been used for the analysis of research data. The operations built by fuzzy numbers and fuzzy statistics are named as "fuzzy method", while the operations built by normal numbers are named as "classical method". In consequence of fuzzy correlation analysis, the scale has been reduced to 38 items dropping the two. Cronbach Alpha coefficiency of reliability is 0. 9473. In the fuzzy factor analysis of validity, it was seen that the items of the scale were combined in six dimensions. According to fuzzy set theory, these dimensions, unlike the classical method, cannot be distinguished in a certain way from one another.

Original languageEnglish
Pages (from-to)561-567
Number of pages7
JournalMiddle East Journal of Scientific Research
Volume13
Issue number4
DOIs
Publication statusPublished - 2013

Keywords

  • Attitude
  • Attitude Scale
  • Data analysis
  • Developing a Likert Type
  • Fuzzy numbers
  • Fuzzy statistics
  • Mathematics education courses

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