Optimal block designs for double cross experiments

ABSTRACT

This paper presents systematic methods of construction of optimal block designs for a double cross experiments for both even and odd values of “p” parental lines. The both even and odd values of designs are derived by using initial block of unreduced balanced incomplete block designs and initial block of row–column designs given by Bose et al. (1953 Bose, R.C., Shrikhande, S.S., Bhattacharya, K.N. (1953). On the construction of group divisible incomplete block design. Ann. Math. Stat. 24:167–195.[Crossref] , [Google Scholar]) and Gupta and Choi (1998 Gupta, S., Choi, K.C. (1998). Optimal row-column designs for complete diallel crosses. Commun. Stat. Theory Methods 27(11):2827–2835.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]), respectively. In this attempt we have found some new universally optimal block designs for double cross experiments.     

Determinants of Student and Staff Satisfaction with Services at Dilla University,Ethiopia: Application of Single and Multilevel Logistic Regression Analyses

The purpose of this study is to assess the level of student and staff satisfaction with current services offered by Dilla University, Ethiopia. The exploration and identifications of possible factors related to academics, non-academics and resource availability in terms of level of student and staff satisfaction across various programs/departments were the major objectives. The study was based on a cross sectional survey. A well-structured questionnaire has been administered on a stratified sample of 710 students and 177 academic staff of Dilla University at two different campuses, the new and main campus. Factor analysis, binary and ordinal logistic regression analyses and multilevel models were employed. Based on the results of factor analysis on student perceptions, major constructs were identified. Moreover, the results of the binary and ordinal logistic regression analysis, indicated statistically significant predictors of student and staff satisfaction in the University. Conversely, the results of the random intercept multilevel logistic regression suggested that there exist significant differences in student satisfaction among departments in Dilla University. The outcome of this study can be used by Dilla University as a guide for determining the level and quality of various services the University should provide to its students and staff. The outcome can also be used by the management of the university in order to at least raise the level of satisfaction of less satisfied students by providing better services to departments where these students belong. The paper attempts to identify important determinants of staff and student satisfaction with services at Dilla University as reported by staff and students of the University.     

A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia

Social Indicators Research - This study analyzes uni-and multidimensional poverty and inequalities in rural and small towns in Ethiopia. Unlike the unidimensional measure, the multidimensional...