Factors affecting use of computer statistical applications among undergraduate students of economics in Ambrose Alli University, Ekpoma

Abstract

This study investigated factors affecting use of computer statistical applications among undergraduate students of Economics in Ambrose Alli University, Ekpoma. The study was concerned with determining the relationship between predictor variables (performance expectancy, effort expectancy, social influence and facilitating conditions) and use of statistical applications. 400 students were drawn by stratified random sampling technique from the population of 808 regular students in the Department of Economics. Instrument used for the collection of data was a survey questionnaire adapted and modified from the work of Abdulwahab & Dahalin (2010). Linear regression technique was used to establish the relationship between the dependent and independent variables at 0.05 level of significance. Findings showed that performance and effort expectancy have no significant relationship with students’ statistical application usage (p>0.05) while social influence and facilitating conditions are significantly related with students’ use of the applications (p<0.05). R-square (R²) was 0.76 depicting that 76.0% change in students’ use of computer statistical applications was determined by the predictors (performance expectancy, effort expectancy, social influence and facilitating conditions). It was recommended for the faculty to create a social forum where students can meet to share knowledge on data analysis and computer statistical application usage.

Keywords: Statistical Applications, Performance expectancy, Effort expectancy, Social influence, facilitating conditions