The study aimed to identify self –affirmation degree, tendency degree toward perfection, awareness degree of creativity among fine arts institutions students, and the significant correlation between self -affirmation and its tendency toward perfection, and the awareness of creativity among fine arts institutions students. To achieve these objectives, the author had constructed two scales: one to measure self –affirmation among the sample based on “Lang& Jakobowski theory” (Lang& Jakobowski, 1973) that consisted of (54) item divided into two parts: qualitative and situational. The other scale is to measure the tendency toward perfection depend on (flett & Hewitt, 1991) that composed of (46) item divided into two sections: self-standards and community- standards. Total of (400) male and female fine arts students from three universities: Baghdad, Basra, and Mosul were selected as a sample for this study. The results showed that there was a significant correlation between self -affirmation and its tendency toward perfection and the awareness of creativity, Self –affirmation was medium among chosen sample, and less than medium according tendency toward perfection and the awareness of creativity.
Self -affirmation and its relation of tendency toward perfection and the awareness of creativity among fine arts institutions students
وكيد الذات وعلاقته بالنزعة نحو الكمال والوعي بالابداع
Publication Date
Wed Jun 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
Proposed method to estimate missing values in Non - Parametric multiple regression model
الانحدار المتعدد اللامعلمي- المشاهدات المفقودة- آلية الفقدان- نمط الفقدان- مقدر Nadary – Watson - المربعات الصغرى للعبور الشرعي
Non-Parametric Multiple Regression Model- missing observation
Missing Data Mechanisms- Patterns of Missing Data- Nadaraya – Watson Estimator- Least Squared Cross Validation
In this paper, we will provide a proposed method to estimate missing values for the Explanatory variables for Non-Parametric Multiple Regression Model and compare it with the Imputation Arithmetic mean Method, The basis of the idea of this method was based on how to employ the causal relationship between the variables in finding an efficient estimate of the missing value, we rely on the use of the Kernel estimate by Nadaraya – Watson Estimator , and on Least Squared Cross Validation (LSCV) to estimate the Bandwidth, and we use the simulation study to compare between the two methods.
