The informal housing subject in Syria has becoming ailment and attention for government
and academy sectors, that statistics refer to increment in area informal housing, that with
inability solution in stopping the informal march. So that, the rese
arch goals to define the
economic and social structure for families in informal housing areas, and study the
economic and social characteristics and relationships in this structure.
The research founds that there is significant statistical relationship between the economic
and social characteristics. The research founds too the economic and social structure for
families in informal housing area that consist of two factors. First factor is economic factor
which correlate with seven economic variables are: monthly salary for families, person
part of salary, percentage of family spending on food, percentage of family spending on
health care, percentage of family spending on education, family owners of capital asset ,
number of new merchandise having family. The second factor is social factor which
correlate with four social variables are: characters of house family, number of basic
associate in house, percentage of family spending on house. Family educational grade.
The present research was designed to investigate the factor structure of Shkeer's
psychological security scale (2005), by using the exploratory factor analysis.
the psychological security scale of shkeer consists of four dimensions: (individual
bu
ilding and future vision (14 items), general and practice life (18 items), temperament (10
items), social relationships and social interaction (12 items).
The researcher used the descriptive method, and the research sample was chosen
randomly, while the data were collected from (415) students of Tishreen University.
The research revealed that the psychological security consists of six factors, which
had explained (52.91%) of total variance of items:
The first factor: future vision and includes 14 items.
The second factor: social relationships and includes 7 items.
The third factor: temperament and includes 7 items.
The fourth factor: practice life and includes 5 items.
The fifth factor: general life and includes 5 items.
The sixth factor: social interaction and includes 4 items.
The researcher suggests that more studies should be done to investigate the factor
structure of the psychological security scale on different Syrian samples.and proposes to
study the relationship between psychological security and some variables.
this study aimed to use derived indicators for development of financial system by using
factor analysis to fully understand the level of financial development in Syria and it's
relationship with the economic growth.
This study aimed at identifying the best indicators representing economic factors
using Factor Analysis, as well as developing a mathematical model linking principal
components which represent both the economic factors and consumer spending in Syri
a
using Multi-linear regression analysis. A descriptive analytical approach is used in this
study.
The study results from Factor Analysis show that there are three principal
components which best represent the economic factors. The first component includes: the
number of workforce working for free, the number of paid workforce, consumer price
index, the average annual GDP per capita. The second component includes: interest rate,
self-employed workforce. The third component includes the number of employers.
A mathematical model is developed to link the above three components of the
economic factors and the total monthly household spending average in Syria during (
2000-2010).
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.
This research aimed at analyzing the factorial structure of
Tennesse Standard of the self-concept (the edition of adults) after
applying it on two samples from Tishreen university students
(applied faculties- theoretical faculties).
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 aimed to extract the psychometric characteristics of the Statistical Anxiety Scale when applied to a sample of graduate students the Faculty of Education, Tishreen University, to ensure the ability to using the statistical anxiety scale to
diagnose postgraduate students' statistical anxiety reliability. Statistical anxiety scale (which was translated by into Arabic Abou Hashem, 2002) has been applied on a sample of research postgraduate students in the courses phase and in the dissertation phase in the Faculty of Education at the Tishreen University. The study results indicate a high significant internal consistency and statistically significant of the scale items, the scale also enjoyed a high degree of reliability. The items that to cause concern were extracted from the sample, and were arranged according to the level of concern caused by calculating the specific weight of each item. It was verified of a set of hypotheses that confirmed the scale validity and reliability.
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.
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.
