Sarcasm is conceders one patterns of undesirable communication, which causes social problems in humans relationships because of the contradictory verbal and nonverbal expressions is known sarcasm may defined , statements with intent to belittle others in different situations, dealing with the individual deliberately, to diminish the will or overwhelmed by the recipe stupid, which generate a reaction when a person listener, raising the intentions of ridicule and undermine it, and this may happen is different from the irony interest increased in sarcasm since the development of scientists "Watzlawick '" and Bevin "Jackson's" in 1967 theory interactive and considered the sarcasm one interaction patterns in the social relationship, which used by peers and adults in our society, so the current research aims to:-Introduce the sarcasm for University of Baghdad staff which achieved when researcher build scale of sarcasm
- identify the level degree of sarcasm among the staff for University of Baghdad
The comparison in sarcasm between males and females of Baghdad University staff-
The current research is determined by University of Baghdad staff in colleges , institutes and centers to achieve the current research goals, sarcasm scale applied on sample consist of (158) employees ,(77)females and (81)males who selected randomly from colleges and centers of researches for University of Baghdad
After collecting and manipulate data statistically by using: T- test for two independent samples, Pearson's correlation coefficient , standard-degree amended and the percentage, the research found the following results
- low level degree of sarcasm in (68%)of the staff were level degree (40 and under), while the percentage accounted the highest level (15%) of employees who were level degree (60 and higher), while the percentage of the middle group was (17 %) the level of scores between (40-60)
- Differences was found in staff, indicates males use sarcasm more than female
As a complement to related aspects of this research, the researchers has put a number of recommendations and suggestions.
In the analysis of multiple linear regression, the problem of multicollinearity and auto-correlation drew the attention of many researchers, and given the appearance of these two problems together and their bad effect on the estimation, some of the researchers found new methods to address these two problems together at the same time. In this research a comparison for the performance of the Principal Components Two Parameter estimator (PCTP) and The (r-k) class estimator and the r-(k,d) class estimator by conducting a simulation study and through the results and under the mean square error (MSE) criterion to find the best way to address the two problems together. The results showed that the r-(k,d) class estimator is the best esti
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The study aims to measure the level of academic stress in the e-learning environment in three areas, students and their dealing with classmates, dealing with the professor and technical skills, and the nature and content of the curriculum among graduate students in the College of Education at King Khalid University during COVID-19 pandemic. This study was descriptive in nature (survey, comparative). The sample consisted of (512) male and female graduate students in the master's and doctoral programs. The Academic Stress Scale in the E-learning Environment designed by Amer (2021) was used. The results indicated a high level of academic stress among graduate students in the e-learning environment. The study also found that there were stati
... Show MoreThe problem of Multicollinearity is one of the most common problems, which deal to a large extent with the internal correlation between explanatory variables. This problem is especially Appear in economics and applied research, The problem of Multicollinearity has a negative effect on the regression model, such as oversized variance degree and estimation of parameters that are unstable when we use the Least Square Method ( OLS), Therefore, other methods were used to estimate the parameters of the negative binomial model, including the estimated Ridge Regression Method and the Liu type estimator, The negative binomial regression model is a nonline
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A mixture model is used to model data that come from more than one component. In recent years, it became an effective tool in drawing inferences about the complex data that we might come across in real life. Moreover, it can represent a tremendous confirmatory tool in classification observations based on similarities amongst them. In this paper, several mixture regression-based methods were conducted under the assumption that the data come from a finite number of components. A comparison of these methods has been made according to their results in estimating component parameters. Also, observation membership has been inferred and assessed for these methods. The results showed that the flexible mixture model outperformed the others
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احكام التركز الاقتصادي للمشاريع دراسة مقارنة
لقد نشا علم التحقيق على ايدي المحدثين المسلمين الذين وضعوا قواعد هذا العلم وظهرت مؤلفات عدة في هذا المجال ، لكن ما قام به الاقدمون لم يشكل قواعد علم مستقل بذاته ومنذ ظهور الطباعة بدأت حركة تحقيق المخطوطات ، وتعددت مناهج التحقيق فكان للمستشرقين منهجهم الخاص وظهر منهج التحقيق والاخراج الفني والعلمي للمخطوط .
We have studied in this research litter (Taa) a morphological , sonic indicative and comparative study among four Semitic languages. They are Arabic , Hebrew, Syriac and Akkadian languages . We have divided the research into a number of pivots beginning with an entrance about the letter (Taa) in Semitic languages and the symbols which are used by these languages referring to . Then we have studied (Taa) from sonic side with letters phenomenon (b, g, k, p, t) the six in both Hebrew and Syriac languages . The letter (Taa) is formed one of them and the sonic change that is happening in articulation (Taa) according to sonic rules related to these letters in case of emphasis or in case of neglected (not emphasis). Then we have studied the pro
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