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Comparative study of middle school students' attitudes towards science: Rasch analysis of entire TIMSS 2011 attitudinal data for England, Singapore and the USA as well as psychometric properties of attitudes scale Journal article
INTERNATIONAL JOURNAL OF SCIENCE EDUCATION, 2018,Volume: 40,Issue: 3,Page: 268-290
作者:  Tee, Oon Pey;  Subramaniam, R.
收藏  |  浏览/下载:0/0  |  提交时间:2018/10/31
Attitudes towards science  TIMSS 2011  Rasch modelling analysis  England  Singapore  the U  S  A  
Comparative study of middle school students' attitudes towards science: Rasch analysis of entire TIMSS 2011 attitudinal data for England, Singapore and the USA as well as psychometric properties of attitudes scale Journal article
INTERNATIONAL JOURNAL OF SCIENCE EDUCATION, 2018,Volume: 40,Issue: 3,Page: 268-290
作者:  Tee, Oon Pey;  Subramaniam, R.
收藏  |  浏览/下载:3/0  |  提交时间:2018/10/31
Attitudes towards science  TIMSS 2011  Rasch modelling analysis  England  Singapore  the U  S  A  
Comparative study of middle school students' attitudes towards science: Rasch analysis of entire TIMSS 2011 attitudinal data for England, Singapore and the USA as well as psychometric properties of attitudes scale Journal article
INTERNATIONAL JOURNAL OF SCIENCE EDUCATION, 2018,Volume: 40,Issue: 3,Page: 268-290
作者:  Tee, Oon Pey;  Subramaniam, R.
收藏  |  浏览/下载:12/0  |  提交时间:2018/10/30
Attitudes towards science  TIMSS 2011  Rasch modelling analysis  England  Singapore  the U  S  A  
Comparative study of middle school students' attitudes towards science: Rasch analysis of entire TIMSS 2011 attitudinal data for England, Singapore and the USA as well as psychometric properties of attitudes scale Journal article
INTERNATIONAL JOURNAL OF SCIENCE EDUCATION, 2018,Volume: 40,Issue: 3,Page: 268-290
作者:  Tee, Oon Pey;  Subramaniam, R.
收藏  |  浏览/下载:15/0  |  提交时间:2018/10/30
Attitudes towards science  TIMSS 2011  Rasch modelling analysis  England  Singapore  the U  S  A  
Psychometric quality of a student evaluation of teaching survey in higher education Journal article
Assessment and Evaluation in Higher Education, 2017,Volume: 42,Issue: 5,Page: 788-800
作者:  Oon,Pey Tee;  Spencer,Benson;  Kam,Chester Chun Seng
收藏  |  浏览/下载:0/0  |  提交时间:2019/09/04
confirmatory factor analysis  Psychometric quality  Rasch model  student rating survey  
Psychometric quality of a student evaluation of teaching survey in higher education Journal article
Assessment and Evaluation in Higher Education, 2017,Volume: 42,Issue: 5,Page: 788-800
作者:  Oon,Pey Tee;  Spencer,Benson;  Kam,Chester Chun Seng
收藏  |  浏览/下载:0/0  |  提交时间:2019/09/04
confirmatory factor analysis  Psychometric quality  Rasch model  student rating survey  
Psychometric quality of a student evaluation of teaching survey in higher education Journal article
Assessment and Evaluation in Higher Education, 2017,Volume: 42,Issue: 5,Page: 788-800
作者:  Oon,Pey Tee;  Spencer,Benson;  Kam,Chester Chun Seng
收藏  |  浏览/下载:0/0  |  提交时间:2019/09/04
confirmatory factor analysis  Psychometric quality  Rasch model  student rating survey  
Rasch analysis for psychometric improvement of science attitude rating scales Journal article
International Journal of Science Education, 2017,Volume: 39,Issue: 6,Page: 683-700
作者:  Oon,Pey Tee;  Fan,Xitao
收藏  |  浏览/下载:0/0  |  提交时间:2019/09/04
attitude toward science  item analysis  Psychometric information  Rasch analysis  rating scale  science education research  test analysis  
Rasch analysis for psychometric improvement of science attitude rating scales Journal article
International Journal of Science Education, 2017,Volume: 39,Issue: 6,Page: 683-700
作者:  Oon,Pey Tee;  Fan,Xitao
收藏  |  浏览/下载:1/0  |  提交时间:2019/09/04
attitude toward science  item analysis  Psychometric information  Rasch analysis  rating scale  science education research  test analysis  
Understanding metallic bonding: Structure, process and interaction by Rasch analysis Journal article
International Journal of Science Education, 2016,Volume: 38,Issue: 12,Page: 1923-1944
作者:  Cheng,Maurice M.W.;  Oon,Pey Tee
收藏  |  浏览/下载:0/0  |  提交时间:2019/09/04
Conceptual change  model-based learning  ontological categories