Search In this Thesis
   Search In this Thesis  
العنوان
العمر وعلافته بالذكاء المتدفق والذاكرة العاملة وسرعة المعالجة/
المؤلف
عبد الحافظ، منال حلمى سيد.
هيئة الاعداد
باحث / منال حلمى سيد عبد الحافظ
مشرف / احمد عثمان صالح
مناقش / امال احمد مختار
مناقش / جابر عبد الحميد
الموضوع
العمر. الذكاء.
تاريخ النشر
2008.
عدد الصفحات
271ص.:
اللغة
العربية
الدرجة
الدكتوراه
التخصص
علم النفس التنموي والتربوي
الناشر
تاريخ الإجازة
8/5/2008
مكان الإجازة
جامعة أسيوط - كلية التربية - علم النفس
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 297

from 297

المستخلص

The study aimed at investigating the relationship between age and: All of fluid intelligence, working memory, and processing speed, as well as the relationship between fluid intelligence and both of: Working memory, processing speed, and also relationship between working memory and processing speed, and the relationship between age and the three capabilities (Fluid intelligence - Working memory - processing speed) together, and sex differences in the there capabilities.
The study group consisted of (300) students. They were distributed in two groups: The first group consisted of 150 students (74 males -76 females) in the age group (13.5 -16.5). They were students from first grade secondary school, who were selected randomly using the computer. The second group consisted of 150 students (71 males -79 females) in the age group (19.5- 22.5). They were fourth year students from the Faculty of Education, University of Assiut including both scientific, literary sectors (Arabic, English, psychology, mathematics, chemistry and physics), who were selected randomly as well.
The researcher prepared a number of tools included:[ABCD order, Alpha Span, Backward Digit Span, Computation Span, Figural- spatial Span, Spatial Span, Word-Sentence Span] to measure the working memory , Others to measure processing speed [Name comparison, Number comparison, Divide by seven, Summing to Ten, Number Sorting, Directional Headings, Digit/Symbols, Finding (¥ and ε),and Finding (a and t)]. Also used Raven’s advanced progressive matrices developed to measure fluid intelligence. The study tools were standardized on a pilot study in a sample of 280 students who were selected in the same as the study group.
To verify the validity of assumptions, the researcher used a number of statistical methods included: the exploratory factor analysis, T test, factor analysis confirmation, and Structural equation model.
The study revealed that there were statistically significant differences between the average scores of two studied groups in tests of fluid intelligence, working memory, and speed of processing, for the benefit of students of the first group. Also there was a statistically significant differences between the average scores of males in the two studied groups in all three tests for the benefit of males of the first group, as well as there were a statistically significant differences between the average scores of female of the two studied groups in all three tests for the benefit of the female of the first group.
The result of the path analysis displayed the accuracy of the of the exploratory factor analysis of the working memory (verbal working memory, spatial working memory) as well as the result of the path analysis displayed the accuracy of the exploratory factor analysis of processing speed (Scanning speed, Complex speed, Memory speed, Recognition speed); where the matching indicators were in the acceptable range, the results of the structural equation model showed a significant statistical correlation of fluid intelligence and both of working memory and processing speed, as well as a significant statistical correlation of working memory and processing speed. The results of the study concerning the fluid intelligence that there was no differences between the average scores of the males and females of the first group, however there was statistically significant differences between the average scores of male and female of the second group for the benefit of males, concerning the working memory there no statistical significant differences between males and females of all groups, and for processing speed there no statistical significant differences between the average scores of males and females of the first group, and there was a statistical significant differences between the average scores of the males and females of the second group for the benefit of females. The results of the structural equation model to examine the relationship between age and the three capabilities together showed that a significant statistical correlation of age and all of fluid intelligence, working memory and processing speed and The age-related increases for the fluid intelligence significantly affect the age-related increases in each of the working memory and processing speed.
The researcher interpreted the results of the study through quantitative and theoretical framework.