Ali A. Al-Subaihi

• Doctor of Education
• Professor at Taibah University

This study aimed to identify the extent to which students' score on the General Aptitude Test (GAT) improved when taking the test more than once. The semi-experimental approach was applied for its relevance to the objectives of the current study to follow up on the experience of repeating the GAT several times by the target students. The study samp...

This paper investigated the relationship between self-assessment and assessment by others. Survey was chosen as the research methodology, and the sample was selected from Medina residents, Saudi Arabia. The study shows that there is a significant negative correlation between self-assessment and assessment by others (i.e., people tend to evaluate th...

A study was conducted to compare the response rate of telephone interview and Web Survey in Saudi Arabia utilizing Internet usage statistics, as well as experimental design. Official data shows that the reason that led the majority of Saudi people to choose not to interact with Web Survey similarly to the telephone interview is not technical due to...

A Simulation study was conducted, to compare a number of univariate variable selection criteria that are available in either SAS or SPSS, in terms of their ability to select the "true" regression model for different sample sizes, intercorrelations, and interacorrelations. The results suggest that the ability of all procedures to identify the "true"...

Most multivariate statistical techniques rely on the assumption of multivariate normality. The effects of nonnormality on multivariate tests are assumed to be negligible when variance–covariance matrices and sample sizes are equal. Therefore, in practice, investigators usually do not attempt to assess multivariate normality. In this simulation stud...

A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers with specified intercorrelation is proposed. The procedure works with positive and non-positive definite population correlation matrix. A SAS module is also provided to run the procedure.

The paper reviews both the influencing factors and calculation strategies of sample size determination for survey research. It indicate the factors that affect the sample size determination procedure and explains how. It also provides calculation methods (including formulas) that can be applied directly and easily to estimate the sample size needed...

This paper introduces a SAS/IML program to select among the multivariate model candidates based on a few well-known multivariate model selection criteria. Stepwise regression and all-possible-regression are considered. The program is user friendly and requires the user to paste or read the data at the beginning of the module, include the names of t...

In this paper a new test statistic is developed to evaluate model specification for nonnested seemingly unrelated regression (SUR) models. The new statistic is compared with Cox's modified likelihood ratio test for comparing two nonnested models. The statistic maintains the size of the test at the nominal level α, may be used with very small sample...

A Monte Carlo study was used to compare the Type I error rates and power of two nonparametric tests against the F test for the single-factor repeated measures model. The performance of the nonparametric Friedman and Conover tests was investigated for different distributions, numbers of blocks and numbers of repeated measures. The results indicated...