Development and Validation of the Perception of Interdisciplinary Research Collaboration (PIRC) Scale

Interdisciplinary research collaboration is crucial for addressing complex global challenges, and measuring researchers' perceptions of it is vital. The Perception of Interdisciplinary Research Collaboration (PIRC) Scale was meticulously developed and validated in this study to enable researchers to assess these perceptions comprehensively. The scale was developed in line with the team science theory. This cross-sectional study involved concept analysis, face and content validity, item pretesting, and pilot testing. A panel of eight specialists from relevant fields meticulously reviewed the items in the instrument, and their inputs and suggestions were followed to refine the instrument, resulting in a 64-item questionnaire. A sample of 1,932 academic staff members with interdisciplinary research experience were selected from six universities in South-South Nigeria for a pilot study. A simple random sampling technique was employed in selecting these participants. Exploratory factor analysis yielded six underlying dimensions within the PIRC Scale, such as: "challenges of Interdisciplinary Disciplinary Research (IDR) collaboration," "IDR collaborative experiences," "motivations for IDR collaboration," "benefits of IDR collaboration," "career impact of IDR collaboration," and "IDR team dynamics." Confirmatory factor analysis confirmed this structure and revealed the bifactor model as the best-fitting model over the unidimensional, oblique and higher-order models. Utilising the Fornell-Larcker approach, strong convergent and discriminant validity was established across all dimensions, with Average Variance Extracted (AVE) above .50 and the square root of the AVE for all factors being greater than the correlation coefficients of each factor with other factors. Cronbach's alpha and McDonald's omega values exceeded the acceptable threshold of 0.70, with item-total correlation analyses further supporting the reliability of each sub-scale and the overall instrument. In conclusion, the PIRC scale can be valuable for researchers, institutions, and policymakers to assess and enhance interdisciplinary research collaboration. It can empower stakeholders to obtain useful information about researchers' perceptions of interdisciplinary research, promote effective collaboration, allocate resources efficiently, and foster innovation

Development and Validation of the Perception of Interdisciplinary Research Collaboration (PIRC) Scale

Interdisciplinary research collaboration is crucial for addressing complex global challenges, and measuring researchers' perceptions of it is vital. The Perception of Interdisciplinary Research Collaboration (PIRC) Scale was meticulously developed and validated in this study to enable researchers to assess these perceptions comprehensively. The scale was developed in line with the team science theory. This cross-sectional study involved concept analysis, face and content validity, item pretesting, and pilot testing. A panel of eight specialists from relevant fields meticulously reviewed the items in the instrument, and their inputs and suggestions were followed to refine the instrument, resulting in a 64-item questionnaire. A sample of 1,932 academic staff members with interdisciplinary research experience were selected from six universities in South-South Nigeria for a pilot study. A simple random sampling technique was employed in selecting these participants. Exploratory factor analysis yielded six underlying dimensions within the PIRC Scale, such as: "challenges of Interdisciplinary Disciplinary Research (IDR) collaboration," "IDR collaborative experiences," "motivations for IDR collaboration," "benefits of IDR collaboration," "career impact of IDR collaboration," and "IDR team dynamics." Confirmatory factor analysis confirmed this structure and revealed the bifactor model as the best-fitting model over the unidimensional, oblique and higher-order models. Utilising the Fornell-Larcker approach, strong convergent and discriminant validity was established across all dimensions, with Average Variance Extracted (AVE) above .50 and the square root of the AVE for all factors being greater than the correlation coefficients of each factor with other factors. Cronbach's alpha and McDonald's omega values exceeded the acceptable threshold of 0.70, with item-total correlation analyses further supporting the reliability of each sub-scale and the overall instrument. In conclusion, the PIRC scale can be valuable for researchers, institutions, and policymakers to assess and enhance interdisciplinary research collaboration. It can empower stakeholders to obtain useful information about researchers' perceptions of interdisciplinary research, promote effective collaboration, allocate resources efficiently, and foster innovation

Prediction of Self-Concept and Anxiety on the Tendency of Postgraduate Students with Learning Disabilities (LD) to Acquire Research Skills in Two Public Universities of Cross River State, Nigeria: Implications for Counseling

Background: Acquisition of research skills provide the forum for incorporating Nigerian graduate students with disabilities and university lecturers into the international scientific culture and the developing knowledge economy. Aim: This study investigated the prediction of self-concept and anxiety on the tendency of postgraduate students with Learning Disabilities (LD) to acquire research skills in two Public Universities of Cross River State, Nigeria: Implications for counseling. Two objectives of the study were stated to guide the study and to achieve the purpose of the study. Two research questions were formulated, which were converted to two statements of hypotheses. A literature review was carried out based on the variables under study. Method: The survey research design was considered most suitable for the study. A stratified random sampling technique was adopted in selecting the 49 respondents sampled for the study. A validated 20 items four-point modified Likert scale questionnaire was the instrument used for data collection. The face and content validity of the instrument was established by experts in Test and Measurement. The reliability estimates of 0.81 of the instruments were established using the Cronbach Alpha method. A simple Linear regression statistical tool was used to test the hypotheses formulated for the study. The hypotheses were tested at a 0.05 level of significance. Results: The results obtained from the data analysis revealed a significant prediction of self-concept and anxiety on the tendency of postgraduate students with Learning Disabilities (LD) to acquire research skills in the study area. Conclusion: Based on the findings of the study, it was therefore recommended, among others, that internal seminars and workshops should be organized by Graduate schools every quarter of the year, where each postgraduate student delivers a standard paper, and this should be made compulsory. This will encourage sharing knowledge and increase skills and zeal for using knowledge and more research publications

Predicting students’ multidimensional learning outcomes in public secondary schools: The roles of school facilities, administrative expenses and curriculum

Previous research has assessed school facilities, administrative expenditures and curriculum and their relative contributions to students’ cognitive learning outcomes. This suggested the need to investigate further how these predictors may impact students’ affective and psychomotor outcomes. The current research studied the combined and relative prediction of school facilities, administrative expenses and curriculum on students’ overall cognitive, affective and psychomotor learning outcomes in public secondary schools. A cross-sectional research design was employed in this study, involving 87 school administrators and a randomly selected group of 915 senior secondary class II (SS2) students. For data collection, we utilised the School Inputs Questionnaire (SIQ) and Educational Outcomes Questionnaire (EOQ), both developed by the researchers and validated through expert assessments, including content validity, Exploratory Factor Analysis (EFA) for dimensionality, Confirmatory Factor Analysis (CFA) for goodness of fit, and reliability using Cronbach's alpha. The results of these assessments demonstrated acceptable outcomes aligned with international standards. Hierarchical regression analysis was conducted to analyse the collected data. The findings indicated that enhancing the provision of quality school facilities, administrative expenses, and school curricula improved students' overall cognitive, affective, and psychomotor learning outcomes. Specifically, administrative expenses and school curriculum had significant predictive power for students’ overall cognitive, affective, and psychomotor learning outcomes. However, while school facilities significantly predicted students' overall, affective, and psychomotor dimensions, they did not significantly predict the cognitive dimension. These findings offer valuable insights for policymakers and educators aiming to enhance the educational quality in public secondary school