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In this paper some new methods whitch very recently have been introduced for parameter estimation and variable selection in regression models are reviewd. Furthermore , we simulate several models in order to evaluate the performance of these methods under diffrent situation. At last we compare the performance of these methods with that of the regular traditional variable selection methods such as the forward selection and ridge regression.

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The purpose of the present study was to examine the factor validity and reliability of the questionnaire of student perception of assessment and evaluation task [19]. In this regard, the questionnaire of students’ perception of the assessment and evaluation task was performed on 362 students selected by cluster sampling method among students of Mazandaran University. The Cronbach’s alpha coefficient was used to check the reliability of the questionnaire and the confirmatory factor analysis was used to determine the factor validity. According to [15] and [14], the results showed that this questionnaire had acceptable internal consistency and Cronbach’s alpha coefficient in the subtest. It ranged from 0.71 to 0.78. Also, the results of the confirmatory factor analysis confirm that the structure of the questionnaire has an acceptable fit to the data and all the goodness of fit indices confirm the model. Therefore, the questionnaire can be a useful tool for evaluating students’ perceptions of assessment and evaluation tasks.