Because of the increasing need to improve quality in construction projects, it is necessary to reduce and prevent reworks, and that is by understanding their roots and recognizing their causes. So this research studies reworking on local projects (Sy
rian buildings) in terms of causes and classifications. Information was collected from questionnaire that identified some variables (100 variables) contributing to reworking. These variables were categorized according to seven main headings: human, coordination and communication, technical and engineering, owner, project management, contract, and design. Responses were further condensed using factor analysis to group the variables into basic factors. This study revealed that the sources of reworks included inexperienced personnel, projects executions after a long time of studying, a short period given by owner, poor total project management, inadequate study for project before bidding, and separation between design and executing. Finally, this research recommended that a total commitment to quality management policy applications would lead to a reduction in reworks on Syrian construction projects.
The research aims to detecting the factors that play an effective role in determining the level of insurance awareness in a specimen of household heads in Lattakia city, It included (438) household head using factorial analysis method to analyze ques
tionnaire data made to measure the level of the insurance awareness at the specimen individuals.
This measurement included many indexes to measure both of the cognitive and the elective dimensions of insurance awareness. the cognitive dimension includes three variables (fear of danger, apprehension of the need for insurance, and acquaintance of available insurance types). The elective dimension includes two main variables (the intention of carrying out insurance, and having a specific attitude towards insurance).
The research showed that there is two main factors determining the level of the insurance awareness at the individuals of the studied specimen. The first factor is related to the social factors that surrounds the individual, while the second one is related to personal factors.
This study aims to find the best indicators representing higher education
components using the method of multivariate statistical analysis represented in a manner
factor analysis, and create a mathematical model that connects the principal componen
ts
representing higher education and the rate of economic activity in Syria using multi- linear
regression analysis. A descriptive analytical approach is used in this study. The most
important results obtained state that the principal components that belong to higher studies
and intermediate institutes have a positive impact on the rate of economic activity of
manpower, whereas principal components that belong to students of state universities and
higher institutes have a negative impact on the rate of economic activity.
The research aims to identify the factors affecting the profitability of commercial
banks, arranged according to their relative importance, and the comparison between
commercial banks, public and private about the factors that affect their profitab
ility. The
research descriptive analytical method. One of the most important results:
1 - affected the profitability of commercial banks Syrian combination of factors can
be classified in two categories: internal factors and external factors.
2 - different factors affecting the profitability of commercial banks in the relative
importance of, and the most influential factor was economic and political conditions, and
employing resources, legislation and legal and banking controls. While the age of the bank
and the number of bank employees less influential factor.
3 - There are no statistically significant differences between commercial banks,
public and private in the internal and external factors that affect their profitability.
The objective of this research is applying Factor Analysis for Studying the most
important economic factors affecting the number of employees within period 2000 till
2009 in Syria, to propose a methodological framework for constructing the integrat
ed
factor analysis model system (FAMS) that can be used as a decision support tool in
employment year examination and supervision process for detection of years, which are
experiencing serious problems. Sample and variable set of the study contains 17 economic
variables.
Study years (10 years during the period 2000–2009) and their economic variables.
Well known multivariate statistical technique (principal component analysis), was used to
explore the basic economic characteristics of the theses years, and discriminant models
were estimated based on these characteristics to construct FAMS. The importance of factor
analysis model system in employment year examination was evaluated with respect to
defining the non-employment years for deciding the most important employment policy for
reducing unemployment rates in future.
Results of the study show that, if FAMS was effectively employed within studied
years, It is possible in this case to identify weaknesses, according to the years that have the
number of employees is less than the overall average calculated over the period.
Samples of Capparis spinosa plant were collected from 6 sites in Aleppo and Lattakia
provinces. The genetic variations were studied using the AFLP technique in order to determine the
genotypes of the studied types using 3 primers, which showed ampl
ification. Statistical analyses
were conducted using the dissimilarity coefficient and genetic diversity coefficient. The A.C.P. and
the statistical -F were calculated, and the similarity dendrogram was constructed. The results
showed the following:
The presence of a certain number of specific alleles (descriminates) for each province.
The presence of genetic and reproductive isolation deterrent to gene flow between the two
provinces.
The heterozygoty average was a little higher in Lattakia (0.486) than in Aleppo (0.481). The
mean of genetic diversity coefficient of primers and individuals was a little higher in Aleppo
(0.677) than in Lattakia (0.653). The population mean was very close: (0.759) in Aleppo and
(0.760) in Lattakia. This may be explained on the basis of silent and specific alleles due to deletion
mutations, different selective effects as well as the reproduction system in the two cities.
The greatest genetic distance in Aleppo was (0.381) noted between (Al Dahea and Al Shekh
saaed), and in Lattakia (0.38) noted between (Al Amroniah and Jabla). However, the greatest
genetic similarity in Aleppo was (0.637) noted between (Al Shekh Saaed and Turkman Bareh), and
in Lattakia (0.675) noted between (Wata Deirzenon and Jabla). The variation between these values
was graduated.
The study of statistical –F showed the effect of the similarity factor in some populations.
This was more significant in Aleppo than in Lattakia, which indicates that the reproduction system
is more closed in Aleppo, and this refers as well to inbreeding or self pollination which showed
high genetic variations in these populations when compared with Lattakia.
The results of this study helped in determining primers that can be used as molecular
markers in a breeding program for Capparis spinosa as a medicinal plant. This technique showed
high efficiency in studying the similarity relationships between these two cities.
This study aims to find the best social and economic factors that affect the number of students in higher education using the descriptive analysis approach, and find the mathematical model that connects the principal components representing the socia
l and economic factors and the number of students in higher education in Syria.
The most important results that have reached were the principal components
representing the social and economic factors, after doing the orthogonal rotation and was representing the first component (number of members the labor force that are gainfully) employed, the number of population per health doctor, number of members, the labor force that are self-employed, number of members the labor force that are unmarried, number of population per dentist, higher education budget, and number of nurses. And the four thcomponent (number of members the labor force that are married), both components affected positively on the number of students in higher education, the second component (economic activity rate of the human power, average number of people per pharmacist, number of members the labor force that are gainfully unemployed, the third component (number of members the labor force that are divorced and widowed) affected negatively on the number of students in higher education.
There are many ideas that come to the mind and many questions that keep coming
to the mind when it comes to analyzing the phenomenon of using the methods and tools to
help in the planning and making appropriate decisions.
In this research we tried
to display the importance of statistics and the most important
methods depending on the number of variables used in this analysis: descriptive
statistical indicators in case we had one variable, indexes in case we had two variables,
and factor analysis and analysis of variance in case we had several variables. These methods
were applied to production of irrigated wheat crop, both types soft and hard, during
the period 2000 - 2010 and the factors affecting its production, such as: the cultivated area,
yield, fertilizers, water, the average cost and the average price. Then the data were analyzed
using the Statistical package SPSS and program Excel. After that, they summarized
in two main factors that justify together (86.116%) of the overall variance. The first factor
was related to the land and everything related to it through a set of variables, which are:
the cultivated area and the need to fertilizers and water., The second factor was the importance
of the selling price of the crop per kilogram.
This study amid at investigating the consistency between
judgment and factor analysis employed as indicators of validity for many
psychological concepts. Subjects were 861 ninth and tenth students.
Data of the performance on two scales (psychologi
cal stress & rebellion)
were taken from a previous study used judgment to determine concepts’
factors. Results showed consistency in number of factors determined by
both methods for the Psychological Stress Scale. However, agreement
was not found for the Rebellion Scale; two main factors revealed by the
judgment method and five factors were explored by factor analysis. The
study emphasized the necessity of utilizing factor analysis beside
judgment when checking for validity.
This research aims to studying the plant species diversity in the
oak Maquis at the Eastern versants of the coastal mountains in
Syria, and tries to identify the most important factors affecting this
diversity.