The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 17-187
Full Name: Zamalia Mahmud
Position: Associate Professor
Age: ON
Sex: Female
Address: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor
Country: MALAYSIA
Tel: +60122197985
Tel prefix:
Fax: +60355435367
E-mail address: zamalia@tmsk.uitm.edu.my
Other E-mails: zamal669@salam.uitm.edu.my
Title of the Paper: Diagnosis of Perceived Attitude, Importance,and Knowledge in Statistics based on Rasch Probabilistic Model
Authors as they appear in the Paper: Zamalia Mahmud
Email addresses of all the authors: zamalia@tmsk.uitm.edu.my
Number of paper pages: 8
Abstract: Postgraduate students who are involved in the analyiss of survey research data are expected to have a sound knowledge in statistics. However, statistics learners should firstly inculcate interest, feel the importance of statistics and instill positive attitude toward learning statistics. Based on Rasch Unidimensional Measurement Model, this study shall investigate the attitude, importance and knowledge in statistics among postgraduate students. The investigation involved a small classroom experiment measuring students' perceived attitude prior to and after attending the statistics remedial classes and then their perceived knowledge on various statistical tools and concepts. The validity of the response patterns were measured and whether their responses can be taken as measuring the latent trait or otherwise. This paper also describes how Rasch probabilistic model is used to measure the latent trait of students' attitude in response to the agent or items measuri!
ng the trait. This involves a calibration between person ability to respond towards the five-point Likert scale items and whether the items function in unison to form a single underlying pattern. Logit scores as derived from the Rasch measurement model, Person-Item Distribution map and other related Rasch statistics are executed to endorse the trait. The study shows that student demonstrate a higher cognitive positive attitude toward learning statistics after attending the remedial classes with most post-attitude items superseding the pre-attitude items during the calibration. However, there are traces of misfit responses as identified by the fit indices due to unusual or/and inappropriate responses which are highlighted in this paper.
Keywords: Attitude towards learning statistics, Pre-post attitude Rasch probabilistic model, PIDM, Person-Item misfit, Perceived Importance and Knowledge
EXTENSION of the file: .doc
Special (Invited) Session: Rasch Probabilistic Model as a Diagnostic Tool to Gauge Students' Attitude Towards Learning Statistics
Organizer of the Session: 303-252
How Did you learn about congress: Professor Dr Azami Zaharim (azami.zaharim@gmail.com, azami@vlsi.eng.ukm.my)
IP ADDRESS: 202.58.86.15
