Students Factors Predicting Computer Application in Data Analysis among Postgraduate Students in The University of Port Harcourt, Rivers State

The study focused on “Students factors predicting computer application in data analysis among postgraduate students in the University of Port Harcourt, Rivers State. Three research questions and three corresponding hypotheses guided the study. The correlational research design was adopted for the study. A sample size of 400 PG students was drawn from the population through stratified random sampling technique. Two instruments were used for data collection. They are Predictors of Computer Application in Data Analysis Questionnire (CADAQ) and Computer Application Questionnaire (CAQ). The two Instruments were validated by experts in measurement and evaluation based on face and content validities, CADAQ has three sections of computer attitude, computer knowledge and computer self-efficacy which had a reliability coefficient of 0.67, 0.80 and 0.80 respectively which were determined through Cronbach Alpha technique. CAQ had a reliability coefficient of 0.92 which was also determined through Cronbach Alpha technique. Simple and multiple regression analysis were used in data analysis. The result revealed that computer attitude, computer knowledge and computer self-efficacy significantly predict computer application in data analysis. Based on the result, recommendations were made including which included that the University of Port Harcourt should ensure that the required computer applications for data analysis are provide for all post graduate students. Limitations and suggestions for further studies were also made.