Skip to content
akaturk Academic measurement

Article detail · 2019

The Correlation Between Renewable Energy Knowledge and Attitude: A Structural Equation Model With Future’s Educators

Journal

Journal of Baltic Science Education

ISSN 1648-3898

YÖKSİS OpenAlex Open access · diamond SJR Q2 JCR Q4 Citations 11 Top 10% Percentile 92.5% FWCI 2.79
Year
2019
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Journal of Baltic Science Education
  • Catalog match (ISSN) Journal of Baltic Science Education
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

It is important to create positive attitudes and enough knowledge for preservice science teachers about renewable energy for future. The aim of this research was to show the correlation between renewable energy knowledge and sub-dimensions of attitude towards renewable energy with Structural Equation Modeling (SEM). The research was conducted by the analysis of 1145 pre-service teachers’ answers to questionnaires data using SEM. Two questionnaires used for data collection which first was renewable energy knowledge scale that Cronbach’s alpha was .82 and the second was renewable energy attitude scale that Cronbach’s alpha was .87. Initially, Kaiser-Meyer-Olkin and Bartlett’s tests were done with SPSS to test appropriateness of subdimensions to factor analysis. Exploratory factor analysis was done for the subdimensions that were seen to be suitable for factor analysis and then structural model was tested with LISREL. At the end of the SEM test, it was found that there are positive relations between renewable energy knowledge of preservice teachers and their attitudes towards renewable energy. The more knowledge and attitudes about renewable energy can be improved, the more positive attitudes and behaviors will be provided to individuals and the efficient use of renewable energy types will be realized. Keywords: renewable energy knowledge, attitude towards renewable energy, structural equation modelling, preservice science teachers.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

11 citations

OpenAlex cited_by_count (cache / database)

2 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. Selection of suitable renewable energy sources for Turkey: SEM–COPRAS method integrated solution 2023 Citations 14 · OpenAlex
  2. Yenilenebilir Enerji Konusunda Bilişsel Yapının Kelime İlişkilendirme Testi İle Belirlenmesi: Mersin İli Örneği 2020 Citations 9 · OpenAlex

Authors

  1. MURAT GENÇ DÜZCE ÜNİVERSİTESİ
  2. MUSTAFA AKILLI BURSA ULUDAĞ ÜNİVERSİTESİ