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Academic behavior and performance of third year students

Date of publication: 2017-08-24 15:14

For the regression analysis we use Microsoft Excel 7557. We took student academic performance (Test Score) as a dependent variable and gender, age, faculty of study, schooling, father/guardian social economic status, residential area, medium of schooling, tuition, study hour and accommodation as independent variables. After fitting the model (see, section ) we conclude that the age, income and hour are statistically significant. This thing revealed that the university or government should take into account the following factors (age, income and hour). The impact of other factors may also on academic performance (Test Score) but it is not strongly significant therefore we should exclude from model.

FACTORS AFFECTING ACADEMIC PERFORMANCE OF UNDERGRADUATE

The section is the summary of the fitted or estimated linear regression model by the method of least square. We use the Microsoft Excel 7557 in determining the results. In the above summary academic performance is used as dependent variable and the gender, age, faculty of study, schooling, father/guardian social economic status, and residential area, medium of schooling, tuition, study hour and accommodation as independent variables. We have the following findings:

Academic Performance . Thesis Help - Write a Doctorate

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In this study a linear model of graduate student performance was designed. graduate student academic performance was taken as a dependent variable and gender, age, faculty of study, schooling, father/guardian social economic status, residential area, medium of schooling, tuition, study hour and accommodation as an independent variables. All graduates students in Islamia University of Bahawalpur Rahim Yar Khan Campus. The sample consist of (n=655) graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus.

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Simple random sampling technique was employed in the selecting the sample from the targeted population. The researcher personally went to the respondents and filled out the questionnaires so that the true responses could be obtained. The researcher use close ended questionnaires because the population is literate and large and time for collecting data is limited. Data from Questionnaires was compiled, sorted, edited, classified and coded into the coding sheet of SPSS (version) and Microsoft Excel 7557.

We test the hypothesis that the academic performance of graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus varies with gender, schooling, and residential area, medium of schooling and accommodation as follows

The above information showed that 66% graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus belong to rural area and 89% belong to urban area. The above table showed that 79% graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus done their forming schooling from English medium schools and 76% from Urdu medium schools. The table showed that 65% graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus got Tuition and 95% do not get the tuition. The above information revealed that 67% graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus are hostelries and 88% are day scholars.

The regression functions to fit the linear regression. For correlation analysis the correlation function built in Microsoft Excel 7557. For testing the hypothesis that the academic performance of graduate students of Islamia University of Bahawalpur Rahim Yar Khan Campus varies with gender using built in t-test function in SPSS. Graphs are constructed using Microsoft Excel 7557 graphical functions.

Because this study only for Islamia University of Bahawalpur Rahim Yar Khan Campus. Therefore its results may or may not be external valid. We recommend that this study should be conducted at a wide level of Pakistan, so that its result became valid for whole country.

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