Factors Triggering Reworking on Construction Projects

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 (Syrian 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.

Factorial Analysis and it's Importance in Detecting Insurance Awareness Determinants Statistical Analytical Study of Available Data about the Insurance Awareness in Lattakia City

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 questionnaire 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.

Mathematical Modeling of the Relationship between the Components of Higher Education and the Rate of Economic Activity in Syria

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 components 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.

Identify the factors affecting the profitability of commercial banks using multivariate analysis A field study in the Commercial Bank of Syria in Latakia province

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 profitability. 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.

Applying Factor Analysis for Studying the Most Important Factors Economic Affecting the number of employees within period 2000 till 2009 in Syria

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 integrated 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.

Mathematical modeling of the relationship between number of higher education students and social and economic factors in Syria

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 social 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.

Statistical Analysis for the Production of Irrigated Wheat in Syria during the period 2000-2010

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.

Factors of a Construct between Judgment And Factor Analysis

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 (psychological 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.

Studying of some factors affecting the plant species diversity in Quercus calliprinos Webb. Maquis at the eastern Versants of the Syrian Coastal Mountains

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.

Using Factor Analysis for studying the relationship between Financial Sector Development and Economic Growth

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.