zahra naghsh; azam moghadam
Volume 2, Issue 8 , July 2012, , Pages 133-154
Abstract
In traditional approaches, single-level statistical models were generally used to analyze IEA data. In hierarchical linear models, each level is, however, introduced by its sub-model, and the variables' interrelations are explained in each specified level. The way the variables affect the existent relations ...
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In traditional approaches, single-level statistical models were generally used to analyze IEA data. In hierarchical linear models, each level is, however, introduced by its sub-model, and the variables' interrelations are explained in each specified level. The way the variables affect the existent relations in other levels is also determined. The main purpose of this paper is to compare multi-level modeling and single-level analysis techniques and underline the importance of applying the former in analyzing the data extracted from the TIMSS 2007 questionnaires completed by the eighth graders. Due to their nature, the IEA data were analyzed by HLM software as the students were nested within classes, classes within schools, and schools within countries. In the single-level analysis, there was a significant relationship between self- concept, attitude and evaluation at 0.001 level with mathematics achievement (0.48, 0.296 and 0.134, respectively). Furthermore, the results of two-level analysis by one-way ANOVA with random effects showed that these three variables (self-concept, attitude and evaluation) explained 30.10% and 47% of mathematics achievement variance at student and school levels, respectively. The different results of these two analyses demonstrated the importance of using multi-level analyses for nested data like TIMSS. Regarding the nested nature of TIMSS data and the multi-level method used to extract them, the application of multi-level modeling techniques is recommended to obtain more detailed data on the factors influencing the students' achievement.
mohamad askari; akram mazlomi
Volume 1, Issue 4 , July 2011, , Pages 1-31
Abstract
The aim of this study was to determine the effect of training the components of “assessment as learning” on the self-concept and mathematic academic achievement of the third grade students in Arak guidance schools. A sample of 67 students (including 2 classes), selected through multi-phase ...
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The aim of this study was to determine the effect of training the components of “assessment as learning” on the self-concept and mathematic academic achievement of the third grade students in Arak guidance schools. A sample of 67 students (including 2 classes), selected through multi-phase random selection, was assigned to both experimental and control groups. An Ahlovalia self-concept pretest was administered to both groups and the scores of mathematics from formative assessment during the first 45 days of the semester were considered as pretest scores. Then, the experimental group attended training the components of “assessment as learning” for 12 sessions, but the control group received no treatment. Finally, both groups were administered Ahlovalia self-concept post-test and the scores of mathematics from formative assessment during the three months training the components of “assessment as learning” were considered as post-test scores mathematics. Data analysis through MANOVA showed that the training the components of “assessment as learning” significantly increased the self-concept and the mathematic academic achievement of the subjects at p=0/01 level. Also, training the components of “assessment as learning” had positively affected all sub-scale related to self-concept except the behavior subscale.
Azadeh Bolooki; ali delavar; Esmail Mam sharifi
Volume 1, Issue 3 , April 2011, , Pages 1-33
Abstract
he present research aims to investigate the role of motivational and attitudinal components on math achievement and compile a structured model for first year high school students in Urumiyeh city. The sample group comprised 300 first year high school students in Orumiyeh city. In order to gather ...
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he present research aims to investigate the role of motivational and attitudinal components on math achievement and compile a structured model for first year high school students in Urumiyeh city. The sample group comprised 300 first year high school students in Orumiyeh city. In order to gather data and determine the level of participants' math achievement, their math scores of the first semester was used. In analyzing data, method of analysis route, using LISREL software, the effects of direct and indirect effects and general self-concept variables, father' education level of mathematics, interest in mathematics, parental support and gender stereotyping were discussed. The results showed that the role of self-concept variables, father' education level, parental support and the importance of mathematical on math achievement was meaningful. Further, the self-concept variables and the education of his father's direct progress with mathematical lesson was significant.The other results in this research for index fit and proper research with data was considerable.
