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Self-determintion and Emotional Experience and their Relationship with achievement striving for the college Students
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Human beings have an innate and natural aim to achieve their self-interests and to show their ability to overcome challenges in a better way, therefore the move towards self determination is expressed by intrinsic motivation. The desire of absorbing in this task is to enjoy the task in it self and benefitting from it such a motivation is the desire rooted in human nature to judge and choose in which individual is conscious in his self, abilities and adequacy that help him in control the different  situations of life passed by him. His choices and actions are voluntary  and non-restricted to intervention or external control because control is inner and subjective, while his behavior is self-regulated with the feeling of independence, that is the feeling of psychological freedom and the motivation of self-determination. with this independence, human being enjoys power and psychological health as they are necessary for health , integration and  happiness. Self –determination is regarded as humane , civilized and social phenomenom whose association indicating positively self-wellbeing , general health, creativity and achievement  in most fields of active life. The importance of self-determination required its study and acquainting with it and the emotional experience and their relationship with achievement striving.

The present research aims to:

  1. Acquainting with self-determination for the college students.
  2. Acquainting with emotional experience for the college students.
  3. Acquainting with achievement striving for the college students.
  4. Acquainting with the significance differences in self-determination for the college students according to two variables : gender “males, females” and major “scientific,humanistic”
  5. Acquainting with the significant differences in emotional experience for the college students according to two variables :gender “males, females” and major “scientific , humanistic”
  6. Acquainting with the significant differences in achievement striving for the college students according to two variables : gender “males, females “ major “scientific , humanistic”
  7. The extent of contribution of self-determination and emotional experience in total variance of achievement striving for the college students.

To achieve the research aims, the researcher built three scales for the present research and verified their valdity and analysed their items statistically on a sample consisting of 600 male and female college students to find discriminate power and validity for their  items.

The reliability of scales was computed by the re-test way and cronbach’s  alpha.

After completing of scales ‘ building , they were applied on the researcher’s main sample

‘400 male and female students” . having collected the data and processed them statistically, the researcher reached several findings , the most important of them as follows:

  1. The mean of self-determination degrees for the research sample was higher than the hypothetical mean and that indicates that sample subjects have high self-determination.
  2. The mean of emotional experience degrees for the sample was higher than the hypothetical mean and that indicates that sample subjects have high emotional experience.
  3. The mean of achievement striving degrees was higher than the sample have high motivation for achievement  striving .

In the light of these findings and as completion for the fields associated with the present  resarch, and the researcher recommended several of recommends as she suggested conducting several scientific studies and researches.

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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
A comparison among Different Methods for Estimating Regression Parameters with Autocorrelation Problem under Exponentially Distributed Error
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Multiple linear regressions are concerned with studying and analyzing the relationship between the dependent variable and a set of explanatory variables. From this relationship the values of variables are predicted. In this paper the multiple linear regression model and three covariates were studied in the presence of the problem of auto-correlation of errors when the random error distributed the distribution of exponential. Three methods were compared (general least squares, M robust, and Laplace robust method). We have employed the simulation studies and calculated the statistical standard mean squares error with sample sizes (15, 30, 60, 100). Further we applied the best method on the real experiment data representing the varieties of

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Assessment of Dietary Habits for Adolescent Girls Diagnosed with Iron Deficiency Anemia in Kirkuk Secondary Schools
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Objective(s): To assess the eating habits of adolescent females with iron deficient anemia.

Methodology: This study employed a quantitative research, descriptive evaluation design.The study was carried out on adolescent girls attending Kirkuk secondary school, period from 11 April to 27 December 2022. A non- probability (Purposive) sample has been applied to obtain the study goals. The study sample was (62) student who participate in the study.

Results: Pre-test results from the study revealed that 54.8% of students had moderate IDA. While the students' iron levels returned to normal in the posttest (53.2%). The majority of students (59.7%) had poor eatin

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Sat Jun 01 2019
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Sun Jun 27 2021
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Detection of Depression among Nurses Providing Care for Patients with COVID-19 at Baqubah Teaching Hospital
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Objectives: The present study aims at detecting the depression among nurses who provide care for infected patients with corona virus phenomenon and to find out relationships between the depression and their demographic characteristics of age, gender, marital status, type of family, education, and years of experience of nurses in heath institutions, infection by corona virus, and their participation in training courses.
Methodology: A descriptive study is established for a period from October 10th, 2020 to April 15th, 2021. The study is conducted on a purposive (non-probability) sample of (100) nurse who are providing care for patients with COVID-19 and they are selected from the isolation wards. The instrument of the study is develope

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Thu Feb 11 2016
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Electrochemical deposition of CdSe-sensitized TiO2 nanotube arrays with enhanced photoelectrochemical performance for solar cell application
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Journal Name
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Fri Aug 13 2021
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Semi-parametric regression function estimation for environmental pollution with measurement error using artificial flower pollination algorithm
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Artificial Intelligence Algorithms have been used in recent years in many scientific fields. We suggest employing flower pollination algorithm in the environmental field to find the best estimate of the semi-parametric regression function with measurement errors in the explanatory variables and the dependent variable, where measurement errors appear frequently in fields such as chemistry, biological sciences, medicine, and epidemiological studies, rather than an exact measurement. We estimate the regression function of the semi-parametric model by estimating the parametric model and estimating the non-parametric model, the parametric model is estimated by using an instrumental variables method (Wald method, Bartlett’s method, and Durbin

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Thu Nov 01 2018
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A non-conventional hybrid numerical approach with multi-dimensional random sampling for cocaine abuse in Spain
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This paper introduces a non-conventional approach with multi-dimensional random sampling to solve a cocaine abuse model with statistical probability. The mean Latin hypercube finite difference (MLHFD) method is proposed for the first time via hybrid integration of the classical numerical finite difference (FD) formula with Latin hypercube sampling (LHS) technique to create a random distribution for the model parameters which are dependent on time [Formula: see text]. The LHS technique gives advantage to MLHFD method to produce fast variation of the parameters’ values via number of multidimensional simulations (100, 1000 and 5000). The generated Latin hypercube sample which is random or non-deterministic in nature is further integ

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