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JOURNALS || ASIO Journal of Chemistry, Physics, Mathematics & Applied Sciences (ASIO-JCPMAS) [ISSN: 2455-7064 ]
COMPARATIVE ANALYSIS OF STATISTICAL MODELING TECHNIQUES: THE EFFECT OF LECTURER’S ATTRIBUTE ON TERTIARY STUDENTS’ INTEREST IN STATISTICS

Author Names : Yarhands Dissou Arthur
Page No. : 10-17  volume 1 Issue 3
Article Overview

ARTICLE DESCRIPTION: 

Samuel Asiedu-Addo, Jonathan Annan, Yarhands Dissou Arthur, A COMPARATIVE ANALYSIS OF STATISTICAL MODELING TECHNIQUES: THE EFFECT OF LECTURER’S ATTRIBUTE ON TERTIARY STUDENT’S INTEREST IN STATISTICS, ASIO Journal of Chemistry, Physics, Mathematics & Applied Sciences (ASIO-JCPMAS), 2016, 1(3): 10-17.

ARTICLE TYPE: Research

dids no.: 03.2016-26169319, dids Link: http://dids.info/didslink/08.2016-97115428/ 

doi no.: 05.2016-11672519, doi Link: http://doi-ds.org/doilink/08.2016-53336117/


ABSTRACT:  

Relational effect of a lecturer’s personal attribute on students’ interest in statistics was the subject of investigation. Some lecturer’s personal attributes examined in this study include dynamism; communication strategies in the classroom, rapport created in the classroom and applied knowledge during lectures. The study used exploratory research design to establish the effect of lecturer’s personal attributes on student’s interest. Data was analyzed by means of confirmatory factor analysis and structural equation modeling (SEM) using the Smart PLS 3 program. In this study, 376 students were randomly selected from the Faculty of Technical and Vocational Education of the University of Education Winneba, Kumasi campus, and the Ghana Technology University College as well as the Kwame Nkrumah University of science and Technology. The results of this paper revealed that, the personal attributes of an effective lecturer namely lecturer’s dynamism, rapport, communication and applied knowledge contribute effectively (52.9%) in explaining students interest in statistics. Regression analysis and Structural equation modeling confirmed that lecturer’s personal attribute contribute effectively in predicting student’s interest i.e., 52.9% and 53.7% using regression and SEM, respectively. Our findings showed that the total effect of a lecturer’s attribute on a student’s interest was moderate and significant although lecturer’s communication and dynamism contribute positively but insignificantly to the prediction of a student’s interest. The results of the study further concluded that a lecturer’s personal attributes such as applied knowledge and rapport have positive and significant effect on a tertiary student’s interest in Statistics. The study finally found lecturer’s communication and dynamism to influence student’s interest in statistics positively but not significantly.

Key words: Student interest, Effective teacher, Personal attributes, Regression and SEM.

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