Jacob Esu Odiong; Udemba, Esther Chinenye; Judith Tano Ari; Ekpoto, David Francis; Valentine Joseph Owan & Delight Omoji Idika.
PREDICTIVE MODELLING OF DATA ACCESSIBILITY AND RESEARCH ATTITUDE OF POSTGRADUATE STUDENTS IN SOUTH-SOUTH, NIGERIA
Limited access to research data continues to pose a serious challenge to researchers in developing countries. This study used the predictive modelling approach to investigate the relationship between research data accessibility and the research attitude of postgraduate students in South-South Nigeria. A correlational survey design was adopted for the study. A sample of 520 postgraduate education students participated in the survey from a population of 1,299 students who enrolled for master's and Doctorate degrees in Federal Universities. The purposive, proportionate stratified random sampling and the accidental sampling techniques were adopted. Two close-ended questionnaires titled: “Research Data Accessibility Questionnaire” (RDAQ) and “Postgraduate Students’ Research Attitude Questionnaire” (POSRAQ), both designed by the researchers with eight items each, were used for data collection. The Kuder-Richardson 20 (K-R20) reliability coefficients, which ranged between 0.79 and 0.82, indicate the instrument's high degree of internal consistency. The binary data was further dummy coded. The one-sample t-test and the simple linear regression analysis showed that the research attitude of students is significantly positive and that there is a significant positive prediction of research data accessibility on the research attitude of the students. The conclusion reached was that greater research data accessibility could stimulate a more positive research attitude. A need arose for the personnel who manage research data in relevant institutions to provide unrestricted access to sustain a positive research attitude.
Keywords: Predictive analysis, Data access, Research behaviour, graduate researchers, research engagement
Jacob Esu Odiong; Udemba, Esther Chinenye; Judith Tano Ari; Ekpoto, David Francis; Valentine Joseph Owan & Delight Omoji Idika.
PREDICTIVE MODELLING OF DATA ACCESSIBILITY AND RESEARCH ATTITUDE OF POSTGRADUATE STUDENTS IN SOUTH-SOUTH, NIGERIA
Limited access to research data continues to pose a serious challenge to researchers in developing countries. This study used the predictive modelling approach to investigate the relationship between research data accessibility and the research attitude of postgraduate students in South-South Nigeria. A correlational survey design was adopted for the study. A sample of 520 postgraduate education students participated in the survey from a population of 1,299 students who enrolled for master's and Doctorate degrees in Federal Universities. The purposive, proportionate stratified random sampling and the accidental sampling techniques were adopted. Two close-ended questionnaires titled: “Research Data Accessibility Questionnaire” (RDAQ) and “Postgraduate Students’ Research Attitude Questionnaire” (POSRAQ), both designed by the researchers with eight items each, were used for data collection. The Kuder-Richardson 20 (K-R20) reliability coefficients, which ranged between 0.79 and 0.82, indicate the instrument's high degree of internal consistency. The binary data was further dummy coded. The one-sample t-test and the simple linear regression analysis showed that the research attitude of students is significantly positive and that there is a significant positive prediction of research data accessibility on the research attitude of the students. The conclusion reached was that greater research data accessibility could stimulate a more positive research attitude. A need arose for the personnel who manage research data in relevant institutions to provide unrestricted access to sustain a positive research attitude. Keywords: Predictive analysis, Data access, Research behaviour, graduate researchers, research engagement