مقارنة بعض الطرائق المعلمية واللامعلمية لبعض تصاميم القياسات المكررة == A Comparisoin of Some Parametric And Nonparametric Methods For Some Repeated Measures Designs
Author name:
سجى محمد حسين علي الهاشمي
Supervisor name:
ظافر حسين رشيد النجار
General topic:
Administration and Economics
Specific topic:
Statistics
Degree:
Doctorate
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3716 - p.pdf
Abstract:
في الكثيرمن الدراسات الطبية والتربوية والسيكولوجية (علم النفس)وعلم الاجتماع نشاهد بان المفردات (subjects) تتكرر تحت مختلف الشروط التجريبية((conditions والتي تسمى بالمعالجات (treatments) وان البيانات المتجمعة من مختلف الوحدات التجريبية تفترض لان تكون مستقل | In many medical , educational , psychology and sociology studies we find that the same subjects repeated under different experimental conditions which called treatments. The collected data from different experimental units suppose to be independent while the observation for the same experimental units will be dependent. The term repeated measures designs is called for this type of data in which the response for every experimental units or subjects is tested or measured under a number of different experimental conditions. Our attention will be on the case of a univariate response variable. There are many procedures for testing the null hypothesis that there is no treatments effects, depends on the number of treatments. either the same subjects are tested under two treatments or tested under three treatments or more. The aim of this study is comparing the tests for nonparametric and parametric methods of repeated measures designs for two treatments through applying the tests on true experiments data. and comparing the tests for nonparametric and parametric methods for three treatments or more, which included two designs which are the complete randomize block design when the ANOVA conditions are satisfied. And the One - way generalized repeated measures model when does not assume specified form of the variance - covariance matrix.Simulation procedures are used in order to compare probability of type one error and power of the test for all methods. In addition , the researcher presented the suggested methods and analyzing the results by comparing them with the other methods for the mentioned designs.
