Do you want to publish a course? Click here

Factors of a Construct between Judgment And Factor Analysis

الأبعاد المكونة للسمة بين التحكيم و التحليل العاملي

1054   0   131   0 ( 0 )
 Publication date 2005
  fields Education
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

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.

References used
أبو نواس، علي عبدالله. ( 2002 ). صدق البناء العاملي لمجموعة من المقاييس المستخدمة في رسائل الماجستير المجازة في كلية العلوم التربوية في جامعة مؤتة. رسالة ماجستير غير منشورة، جامعة مؤته، الكرك.
حبيب، مجدي. ( 1996 ). التقويم والقياس في التربية وعلم النفس. القاهرة: مكتبة النهضة المصرية
المطارنة، خولة. ( 2000 ). العلاقة بين الضغوط النفسية والتمرد لدى المراهقين وأثر كل من صفهم وجنسهم والمستوى التعليمي لوالديهم في ذلك. رسالة ماجستير غير منشورة، جامعة مؤته، الكرك.
rate research

Read More

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).
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 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 integrat ed 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.

suggested questions

comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا