Yunusa Olufadi | Kwara State University, Malete-ILORIN (original) (raw)

Yunusa Olufadi

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Papers by Yunusa Olufadi

Pakistan Journal of Nutrition, 2014

One of the key issues plaguing the existing studies on the use of the social networking sites (SN... more One of the key issues plaguing the existing studies on the use of the social networking sites (SNSs) is the lack of a uniform index for measuring the time spent on the sites. The present
investigation tries to fill this gap by conceptualizing, developing, and validating a new construct, which we referred to as social networking time use scale (SONTUS). To achieve this, two separate studies were conducted. The data for the first study was collected from 2049 individuals through quota sampling approach. Meanwhile, in this first study, we used exploratory factor analysis to identify the dimension of the SONTUS construct. Findings from this study reveal that SONTUS has five factors with good measurement properties. The main aim of the second study (where we utilized data from 1808 people) is to carry out a confirmatory factor analysis (CFA) and tests three hypothesized models. In addition, it aims to investigate the construct validity of SONTUS; and to achieve this, we used 10 personality and well-being measures, and two theoretically related constructs to SONTUS. The CFA results showed that SONTUS has five factor solution consisting of 29 items and that the model with 5 first-order factors with 1 second-order factor is the most suitable model for the study population. Additionally, the second study provides preliminary evidence for the convergent, predictive, and incremental validity of SONTUS. Overall, the findings from our exploratory (study 1) and confirmatory (study 2) studies shows that SONTUS can be used as a standardized instrument for measuring time spent on sites.

We addressed two shortcomings in the existing studies that focused on the association between stu... more We addressed two shortcomings in the existing studies that focused on the association between students' academic performance (SAP) and their mobile phone use behaviors (MPUB) in this study by conducting a self-report, student-based cross-sectional study in two Nigerian universities between February and March 2014. We collected the data for the study from 286 students in the two universities using a convenience-based sampling approach. The data were analyzed using fsQCA version 2.0 and hierarchical linear (blocked) regression (HLR). The HLR results reveal that time spent calling on phone was the only significant predictor of SAP out of the seven MPUB variables (addiction, distraction, dependence, multitasking, time spent calling, time spent using social networking sites and perception on the effect of MPUB on SAP) considered. It further revealed that students' hours of study per day explains more of the variations in SAP than their MPUB. More so, none of the MPUB variables individually meets the minimum consistency score of .85, indicating that no single MPUB variable is by itself sufficient to influence SAP. However, implementing the MPUB variables as a configuration reveals that there are three pathways to attaining high academic achievements. The major finding of the present study suggests that combining several MPUB variables may be more effective than focusing on individual MPUB variables when investigating the relationship between SAP and their MPUB.

A Study on the Chain Ratio-Type Estimator of Finite Population Variance, Feb 24, 2014

We suggest an estimator using two auxiliary variables for the estimation of the unknown populatio... more We suggest an estimator using two auxiliary variables for the estimation of the unknown population variance. The bias and the
mean square error of the proposed estimator are obtained to the first order of approximations. In addition, the problem is extended
to two-phase sampling scheme. After theoretical comparisons, as an illustration, a numerical comparison is carried out to examine
the performance of the suggested estimator with several estimators.