jalil Younesi
Abstract
Evaluating the effectiveness of behavioral interventions in various educational and therapeutic situations in experimental designs requires identifying the structure of collected data and appropriate methods of data analysis. Considering that researchers mainly use ANCOVA to analyze the data of the pretest-posttest ...
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Evaluating the effectiveness of behavioral interventions in various educational and therapeutic situations in experimental designs requires identifying the structure of collected data and appropriate methods of data analysis. Considering that researchers mainly use ANCOVA to analyze the data of the pretest-posttest control group designs in dyadic samples, in this article with a research example of the data collected from a pretest-posttest control group design, the application and the accuracy of the ANCOVA results and the actor-partner interdependence model (APIM) approach have been compared. The results showed that the APIM model contains more information than ANCOVA; The APIM model makes it possible to estimate the effects of actors and partners and consider them in interpretation and conclusions. When the significance level of rejecting or accepting the hypothesis is close to the critical level of 0.05, there is a contradiction between the results of these two methods, and in these cases, one should act very cautiously for interpretation and final conclusions. In cases where the significance level is far from 0.05, there is no problem and the results of the two approaches are consistent. The shift in focus to the unit of analysis allows researchers to study the complex processes and underlying processes of social interactions with much greater validity.
Jalil Younesi; Seyed Amin Mousavi
Abstract
The aim of this study was to investigate the effect of geographical clustering on the estimation of ability parameter (before ranking) as well as the ranking of examinees in large-scale tests (such as national university entrance examination). The design of this study can be considered as survey and ...
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The aim of this study was to investigate the effect of geographical clustering on the estimation of ability parameter (before ranking) as well as the ranking of examinees in large-scale tests (such as national university entrance examination). The design of this study can be considered as survey and because of analyzing the data previously collected by the National Organization Educational Testing (NOET), this project can also be considered as a secondary data analysis. The statistical population of this project includes all the candidates of the Mathematics group who have participated in the national exam of 2013-2014. The sample used in this study includes data on 3,000 examinees in the mathematics group from regions (quota) one, two and three, that have been provided to researchers by the NOET. The main data used in this study are the examinees’ scored responses to test items (1 for a correct answer and 0 for an incorrect answer) and the code related to the selected quota. In summary, it can be concluded that differences between the three regions, or any type of clustering, is considerable when the level of analysis is the overall sample and beyond clusters. In such a situation, it is possible to observe a significant difference between rankings using different methods, even when the value of intra-class correlation (ICC) is very low (like this study).
morteza taheri; jalil younesi
Volume 10, Issue 34 , January 2015, , Pages 44-66
Abstract
Purpose: The purpose of this study is to obtain some information about PhD students’ perception and attitude toward the different characteristics of the feedbacks getting from the academic writing and its correlation with the different characteristics of the people who give feedback ...
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Purpose: The purpose of this study is to obtain some information about PhD students’ perception and attitude toward the different characteristics of the feedbacks getting from the academic writing and its correlation with the different characteristics of the people who give feedback and the way their revise their decisions affected by these elements and other relative elements. Method: The data was collected from 165 Ph.D Psychology and education science students based on correlation design and performing questionnaire. The data was analyzed with the help of descriptive statistics to describe the answers of the participants. Then, the data was analyzed with the aid of the structural equation modeling for research hypothesis testing and obtaining correlation between academic writing motivation, major and program attitude, feedback request, critical feedback viewpoint, proficiency and knowledge of the person who gives feedback, personality and help of the person who gives feedback, revising the decision-externals and revising the decision-rationalizations. Findings: Structural equation modeling analysis indicates the correlation between the variables involving the process of presenting feedback to PhD students. Finally, some suggestions were proposed for the improvement of feedback process in PhD course.
