This paper analyzes factor analysis, discussing both confirmatory factor analysis (CFA) and exploratory factor analysis (EFA), as they relate to survey design. Shi et al. (2017) is discussed and compared to another study applying factor analysis by Tungkunanan (2020). A discussion of how factor analysis is used in my current field and potentially for COVID research is also explored. First, however, a discussion of the history of factor analysis, how it was designed, improved, and is currently...
This paper discusses and analyzes the procedures of hypothesis testing, benefits, and detriments.
The study examined the incidence of the rate of Neonatal Mortality in Nigeria. The incidence tested with use of Time Series Analysis (ARIMA). The trend plot of the incidence shows that there has been steady decrease in the incidence rate over the years. The series was stationarity using the Augmented Dickey-Fuller (ADF) Test, the result found to be stationary. The Correlogram of the incidence also supports the stationarity of the series at 1% level of significance. The model that best describ...
Abstract: This study was aimed at determining the average performance of teams that participated at the 2014 World Cup in terms of goals scored. Bayesian approach was used to analyze this problem. There was an update of belief about the average goals scored in the tournament through the conjugate Gamma prior and the Poisson likelihood. Using the conjugate Gamma prior and Poisson likelihood, the average goals scored per team was 1.3354 and a posterior standard deviation of 0.1018. The 95%...
Motherless babies have nowadays become common because of moral deca-dence of the society, young people who cannot cater for themselves and ndthemselves put in a family way end up abandoning their babies. The increas-ing hardship of the present economic recession has increased the incidence ofburden on families and the consequent loss of rm control of family members.Time series analysis is use to model the admission and release of children inthe motherless or orphanage home and the data use fo...
This paper addressed the popular issue of collinearity among explanatory variables in the context of a multiple linear regression analysis, and the parameter estimations of both the classical and the Bayesian approaches were compared using Mean Square Error (MSE) and Absolute bias. Five sample sizes: 10, 25, 50, 100 and 500 each replicated 1000 times were simulated using Monte Carlo method. Four degrees of correlation representing no correlation, weak correlation, moderate correlation and ...
It has been observed over the years that real life data are usually non-conforming to the classical linear regression assumptions. One of the stringent assumptions that is unlikely to hold in many applied settings is that of homoscedasticity. When homogenous variance in a normal regression model is not appropriate, invalid standard inference procedure may result from the improper estimation of standard error when the disturbance process in a regression model present heteroscedasticity. When...