Various parametric tests make assumptions of the normal distribution, including t-test, analysis of variance (ANOVA), correlation, and regression. Different from some researcher’s understanding, tests of normality are not for the normality of observed data but for normality of the population distribution of a random characteristic; e.g. assuming normality for the population distribution of the ...

Mobile banking (m-banking) faces various types of resistance that may hinder customers’ adoption in Egypt. This study identifies three groups of m-banking non-adopters, namely postponers, opponents and rejectors. The objective of the study is to explore the reasons for resisting m-banking services in Egypt and whether it differs with regards to these customer groups. Accordingly, a questionnair...

In the past decades there has been considerable commercial and academic interest in methods for monitoring control system performance for linear systems. Far less has been written on control system performance for nonlinear dynamic / stochastic systems. This thesis presents research results on three control performance monitoring topics for the nonlinear systems: 1. Controller assessment of a c...

This study sought to identify factors influencing maternal-fetal attachment in high-risk pregnancy in Korea. Data were collected between March 3 and 30, 2015 via structured questionnaires completed by 118 pregnant women visiting an obstetric clinic for prenatal tests or referred to university hospitals in three metropolitan areas for pregnancy maintenance. Data were analyzed, using IBM SPSS ver...

I present an active learning classroom exercise illustrating essential principles of one-way analysis of variance (ANOVA) methods. The exercise is easily conducted by the instructor and is instructive (as well as enjoyable) for the students. This is conducive for demonstrating many theoretical and practical issues related to ANOVA and lends itself to multiple possible configurations of ANOVA re...

This paper briefly reviews the most frequently used and misused intraclass correlation analysis of variance (ANOVA) reliability measures. Recommendations are made for the one-way ANOVA intraclass correlation and against the use of several coefficients: Winer's so-called "anchor point method," KuderRichardson Formula Number 20, and the Spearman-Brown prediction formula. The computation of the in...

This paper is a tutorial introduction to the analysis of variance (ANOVA), intended as a reference for aerospace researchers who are being introduced to the analytical methods of the Modern Design of Experiments (MDOE), or who may have other opportunities to apply this method. One-way and two-way fixed-effects ANOVA, as well as random effects ANOVA, are illustrated in practical terms that will ...

Hypothesis-testing methods for multivariate data are needed to make rigorous probability statements about the effects of factors and their interactions in experiments. Analysis of variance is particularly powerful for the analysis of univariate data. The traditional multivariate analogues, however, are too stringent in their assumptions for most ecological multivariate data sets. Non-parametric...

We carry out an ANOVA analysis to compare multiple treatment effects for longitudinal studies with missing values. The treatment effects are modeled semiparametrically via a partially linear regression which is flexible in quantifying the time effects of treatments. The empirical likelihood is employed to formulate nonparametric ANOVA tests for treatment effects with respect to covariates and t...