Tag Archives: Empirical Analysis

Empirical Analysis on the Level of Academic Procrastination among Office Technology and Management Students in Delta State Polytechnic, Ozoro (Published)

This study was undertaken to investigate empirical analysis on the level of academic procrastination among the office technology and management students in Delta State Polytechnic, Ozoro.  This study adopted the ex-post facto of a correlational design.  The population of this study was 711 students in Department of Office Technology and Management, School of Business Studies, Delta State Polytechnic, Ozoro in the 2019/2020 academic year.  The researcher sampled 427 (60%) of the students for the study.  The stratified random sampling techniques were utilized sample the students utilized in the study.  The instrument that was utilized in this study is a questionnaire titled, “Level of Academic Procrastination Scale (LAPS).  Validity of the instrument was ascertained with Factor Analysis.  Factor Analysis was utilised for the assortment of factors into the scale.  The construct validity was ascertained with factor analysis.  The factor matrix of the level of procrastination scale varies from .59 and .91.  The factor matrix of the Class Attendance Scale was 77.3%.  Study habits scale was 79.5% and Level of Procrastination Scale was 81.1%.  The Cronbach Alpha Statistics was employed for determining the reliability of the instrument and the coefficient alpha.  The internal consistency for the Class Attendance Scale was .89 (P<5).  Multiple Regression Analysis were used to answer the four research questions while simple regression was used to test the four null hypotheses formulated to lead the study at 0.05 levels of significance.  Findings showed that there was significant relationship between class attendance, study habits, gender, age and level of academic procrastination among office technology and management students in Delta State Polytechnic, Ozoro.

Keywords: Empirical Analysis, level of academic procrastination, office technology and management students

Empirical Analysis on Road Traffic Crashes in Anambra State, Nigeria: Accident Prediction Modeling Using Regression Approach (Published)

Road traffic crashes in Anambra State Nigeria was considered in this paper, secondary data were mainly used, and was sourced from the office of the Federal Road Safety Corps; Policy, Research and Statistics Department RSHQ Abuja. Regression Analysis was applied on the data, with the aim of identifying how well a set of independent variables (Mechanical Fault, Reckless Driving and Over-Loading) is able to predict Road Accident in Anambra State, indicating, the best predictor of Road Accident in the state, knowing if Overloading is still able to predict a significant amount of the variance in Road Accident when Mechanical Fault and Reckless Driving is controlled for and to develop an accident prediction model. The result shows no violation to the assumptions of Normality, Homoscedasticity, Independence, Linearity, Multicollinearity and Outliers. The three predictors significantly predicted road accident { F(3,9) = 14.132, p-value =0.001 < 0.005 }, R2adjusted= 0.767; 76.7% , of the total variance in road accident cases was explained by the model, Mechanical Fault made the strongest unique significant contribution to explaining road accident cases when the variance explained by all other variables in the model  is controlled for (βeta value = 0.841, p-value = 0.001), Reckless driving made less of a contribution (βeta value =0.591, p-value = 0.004), while overloading did not make a significant contribution to the prediction of road accident when the variance explained by other variables in the model is controlled for (βeta value = 0.173, p-value = 0.228). The developed prediction model is; Number of Road Accident = 6.407 + 1.300Reckless Driving + 1.959Mechanical Fault + 0.733Overloading

Keywords: Anambra State, Empirical Analysis, Nigeria; Accident Prediction Modeling, Regression Approach, Road Traffic Crashes


The paper attempts to evaluate the relationship between empirical analysis of multinational corporations and economic growth in Nigeria using data spanning (1990-2013). Secondary data was collected from the CBN statistical bulletin and national bureau of statistics. Hypotheses were formulated and tested using time series econometrics and the study reveals that the variables do not have unit roots. There is also long-run equilibrium relationship between economic growth and multinational corporations and the result confirms that about 73% short-run adjustment speed from long-run disequilibrium. The coefficient of determination indicates that about 62% of the variations in economic growth is explained by changes in multinational corporations variables. The study therefore recommends that multinational corporations should make life meaningful to the host country by providing infrastructural facilities. Government should ensure that multinational corporations plough back part of their profits to the development of the host communities in other to established good working relationship. Federal environmental protection agencies should also ensure effective monitoring of multinational corporations to avoid the violation of the lay down rules and regulations guiding their operations.

Keywords: Economic, Empirical Analysis, Growth, Multinational Corporations, Nigeria