why students leave the universit1

Why Students leave the University?

Why Students Leave the University?

Rafaqat Ali, Hassan Mansoor, Syed Imran Haider

Gift University Gujranwala

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Why Students leave the University? Author Introduction: Syed Imran Haider ID: 10123027 Program: M.B.A (3-Years) Contact: 0336-4261191 Email ID:[email protected] Hassan Mansoor Butt ID:10123051 Program : M.B.A(3-Years) Contact:0321-6494149 Email ID:[email protected] Rafaqat Ali ID: 10123057 Program: M.B.A (3-Years) Contact: 0323-5824767 Email ID:[email protected]

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TABLE OF CONTENTSAcknowledgment .......................................................................................................................................... 5 LIST OF TABLES: ....................................................................................................................................... 7 LIST OF FIGURES: ..................................................................................................................................... 7 1. Introduction ........................................................................................................................................... 9 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. 2. Background of the study ............................................................................................................... 9 Significance of the study ............................................................................................................. 10 Aim of the Study ......................................................................................................................... 10 Problem Identification................................................................................................................. 10 Research Objective ..................................................................................................................... 11 Research Questions ..................................................................................................................... 11

Literature Review................................................................................................................................ 12 2.1. 2.2. 2.3. Concepts and definitions ............................................................................................................. 12 Literature Review &Theoretical reflection ................................................................................. 12 Study Gap.................................................................................................................................... 19

3.

Frame Work ........................................................................................................................................ 20 3.1. Hypothesis: ................................................................................................................................. 21

4.

Research Design.................................................................................................................................. 22 4.1. 4.2. 4.3. 4.4. 4.5. 4.6. 4.7. 4.8. 4.9. 4.10. Type of Study.............................................................................................................................. 22 Type of investigation .................................................................................................................. 22 Extent of researcher Interference ................................................................................................ 22 Study Setting ............................................................................................................................... 23 Measurement and measures ........................................................................................................ 23 Unit of analysis ........................................................................................................................... 23 Sampling Design ......................................................................................................................... 23 Time horizon ............................................................................................................................... 24 Data Collection Method .............................................................................................................. 24 Data Analysis: ......................................................................................................................... 25

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Why Students leave the University?Table 1 ................................................................................................................................................ 28 Table 2 ................................................................................................................................................ 29 Table 3 ................................................................................................................................................ 30 Table: 4 ............................................................................................................................................... 32 Table:5 ................................................................................................................................................ 33 Table: 6 ............................................................................................................................................... 34 Table 7 ................................................................................................................................................ 35 Table 8 ................................................................................................................................................ 37 5. 6. 7. 8. Limitations: ......................................................................................................................................... 42 Recommendation &Future Research: ................................................................................................. 42 Schedule of Term Paper: ..................................................................................................................... 44 References:.......................................................................................................................................... 45

Appendix No: 1 ........................................................................................................................................... 48 Questionnaire ......................................................................................................................................... 48 Appendix No: 2 ........................................................................................................................................... 50 Operationalization of Variables .............................................................................................................. 50

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AcknowledgmentAll the praises and thanks for Almighty Allah who bestowed us with the potential and ability to contribute a drop of a material to the existing ocean of knowledge. We offer our humblest thanks from the deepest core of our heart to the Holly Prophet Muhammad (peace be upon him) who is fore ever a torch of guidance and knowledge for humanity as a whole. Secondly we would like to express our grateful thanks to our parents and course instructor

MR. Abid AwanWhose outstanding teaching skills, methods, breathe of knowledge and counseling, helped us to complete this assignment successfully.

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AbstractThe research was conducted to know about the reasons of students withdrawal from the universities which is the common problem off all universities. In previous studies, many researches were conducted related to this issue but not any single research conducted within Pakistan to address this issue. According to our local environment, the best fitted factors were selected regarding students intention to leave the university and hypothesis was developed. Those factors were related to student's study habits, their financial position, their first GPA, their income levels, their age and gender and most important factor is discussed which is the student's commitment to leave. After analyzing these factors by applying statistical tools after survey conducted through questioners, the results showed that bad study habits increase the student's intention to leave and student's commitment to the study decreases student's intention to leave the university. The results related to the age of students, their gender, their financial

position and their GPA are not significant which means that results cannot be applicable to the population. So finally it is concluded accordance with the factors we selected for student's intention to leave, the student's habits towards study and student's commitment plays a vital role in making his/her intention to leave the university.

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LIST OF TABLES: Descriptive Statistics Reliability. Factor Analysis Correlation Regression Page.28 Page.29 Page.30 Page.32 Page.33

Independent sample t test Page.34 ANOVA Table Page.35

LIST OF FIGURES: Theoretical Framework Operationalization of framework( Dimensions &Elements)

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Key Words:CS ITL BSH WFP TAFE NCES KMO Vol. Pp et.Al Rev. Ed. No. Commitment to study Intention to leave University Bad study habit Weak Financial Position Technical and further education National Center of education research Kaiser-Meyer-Olkin Volume Pages and the other Revised Edition Number

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1. Introduction1.1. Background of the studyStudent withdrawal during the study is a common problem of any University. So its not only the problem in Pakistani universities but it naturally happens in internationally. At a high demand for engineering graduates in Australia that famous for engineering in world but mean graduation completion rate of engineering undergraduate is very low and approximately identified 54 %.( Godfery et.al, 2010). Wilson in 1973 found that many students leave because of wrong course selection later research conducted on this issue which found by Dekker Whitfield in 1980 that some personal characteristics of students and financial issues also related. The Theoretical Model of Non-traditional Student Attrition (Wylie, 2004) proposes that non-persistence decisions are a short-term cyclic process, where a students poor adjustments in academic and social self -worth results in a re-evaluation of and separation from their course participation. According to the NCES research conducted on student attrition and stated that about 31.7% students leave within three years without a degree. (Susan Campbell, 2003). A National Center for Educational Statistics (NCES) longitudinal study of first-year S&E students in 1990 found that fewer than 50 percent had completed an S&E degree within five years.( Marria, R., Bouge, B., & Shen, D., 2011). Alion Kepner in the news journal reported that student attrition is a major problem and states that in Delaware High scholars only six out of ten graduates from this school and provides statistical analysis in 2010 that 500 dropouts ,between ages 16-25 when interviewed they stated reasons for leaving, 47% said classes were not interesting, 43% missed too many days to catch up,45% entered high school poorly prepared by their earlier schooling,69% said they were not motivated to work hard, 35%

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Why Students leave the University? said they were failing, 32% said they left to get a job , 25% left to become parents, 22% left to take care of a relative.

1.2. Significance of the studyAlmost every university faces losses because of students withdrawal especially making plans and forecasting and when a student leave the university is would be not a financial loss but also harmful for the impact or reputation of university.

By conducting this research, came to know that the either factors which are described of students withdrawal either applicable locally.

We focused on those factors which are exactly suitable for our Pakistani Universities and our local environment i.e. financial crises and students habits and the factors which are known by our common observations. This gives proper guidance that which factors are exactly contributing toward students withdrawal.

1.3. Aim of the StudyWe are willing to conduct the research to enhance our knowledge about Why students leave the university to interpreted such issue in a constructive way to increase knowledge about that situation which probably faced by many students.

1.4. Problem IdentificationAs we know because of our personal experience that every students seems excited about studying in University his college life however As we are student of GIFT UNIVERSITY

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Why Students leave the University? during a period of one year we have examined that most of students enrolled in degree program but after a short period of time they usually quiet or start withdrawing the courses and that is the big issue for the management team of universities. We personally observed that many students leave because of weak financial background of their families, their personal characteristics like non serious attitude toward study, their natural characteristics and after disappointing from their initial results.

1.5. Research Objective Well analyze financial factors involved in students intention to leave. Well analyze habitual factors involved in students intention to leave. Well analyze motivational factors involved in students intention to leave. Well analyze historical factors involved in students intention to leave. Well analyze characteristics of student which are involved in students intention to leave.

1.6. Research QuestionsQ1: Does the financial position of the student make any impact on his decision of leaving the university? Q2: Does the habitual factors like study habit of the students plays any role in student withdrawal? Q3: Does the initial academic performance of the student in the university have any impact on his decision of leaving the university? Q4: Does the previous performance of the student plays any role in his withdrawal?

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Why Students leave the University? Q5: Do the demographic characteristics of the students make any impact of their decision of withdrawal?

2. Literature Review2.1. Concepts and definitionsStudy Habit means a habit is something that is done on a scheduled, regular and planned basis that is not relegated to a second place or optional place in ones life. It is simply done, no excuses, no exceptions. (KWADERNO). Commitment to study refers to what extent students gives weight age to their studies or in other terms how they are willing to achieve their study goals shows commitment. Students are motivated through their personal achievements in study that make them motivated. A student is committed towards study by identify goals, objectives, specify approaches and measures, share results and finally make changes.(Kent State University). Intent to leave means to withdrawal from any institution rather than the entrance in institution. (Dr. Bruno Staffelbach).Intent to leave basically means to leave something or quit so in intent to leave concept that helps the student to leave because several factors enhance their decision to withdrawal like financial position, previous performance and the G.P.A. Financial position of students refers the financial status of student and his/her familys financial status

2.2. Literature Review &Theoretical reflectionAs our study title is why students leave the university in such we have find out some independent ,moderating and dependent variable on which significant study is not done

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Why Students leave the University? by prior. Our first independent variable that is previous performance John Bean, 1980 states that, Its a necessary for a student to excel in their degree program who have good prior schooling results but it may be that prior schooling results are good and now students have selecting such courses in which they lack interest and failure to perform in term of achieving desired results. Similarly another author also states that, If the previous semester performance is low or not up to desired expectations then they involuntary withdrawal from university. (Hutto, 2002).Most of the study conducted in student attrition and finding indicates that Students whose parents give attention to them there is less chances of attrition they have moral support in study but how cant get from home support they morally fail to achieve tasks.(Horn,1998;Nunez and CuccaroAlamin,1998;Riehl,1994).First university G.P.A. is very important for the students to continue their study. Desjardins states that, First G.P.A of student in very first semester is good then there is very less chances of making attention to leave and at the same if he cant get good G.P.A then they makes intention to quit.Another contribution made towards study is that, Grades are extrinsic reward for self motivating the students and also help the student how do job and help in their career development and at the same who cant meet the good G.P.A that cant support to grow in his career efficiently(Spady,1970). Some studies conducted in comparison with parents grades he stated that there is no significant difference between them. (Strage,1999).prior studies also state that the First generation students has also lower grades in SAT and also in academic background.( Riehl, 1994).York-Anderson &Bowman (1991) discovered that first generation students receive less support from their families that is the cause of lowering their academic performance slows down in terms of G.P.A.Narramore in 1974

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Why Students leave the University? defined effective study habit leads towards student success by repetition of working activities and if any student lacks in study habit then its whole temperament is loose leads towards poor result and enforces him to intent to leave without any further thinking by voluntary withdrawal instead of involuntary withdrawal made by University. Good study habit not only makes the student commitment to study, perform schedule tasks they are able to managing any deviations in their schedule and most capable of managing conflicts in study but if they cant get the desired reward their attention departed towards immoral act that leads to bad performance .(Rastogi in Bulus,1990).Financial position is major part in the academic success of students as according to Summerskill about 50% of students withdraw from university due to shortage of funds and some other requirements. National Center for Educational Statistics also state that about 16% students voluntarily withdrawal due to shortage of financial weaknesses. John Bean also contribute in stating the financial position and describes that student who cant meet their daily expenses related to study and has poor family status also enables their decision to withdrawal. Student commitment to study also stated by bean and Tintos theoretical model of student attrition in which he states that student committed they perform well otherwise their performance goes down. French et al., 2005 & Matusovich, 2008 states that student commitment usually based on several factors like study habit, previous performance ,G.P.A enhance their motivation level to grow otherwise they make intent to leave due to negative affection of moderating variable. In our research frame work student withdrawal/turnover is our dependent variable while previous performance of student, first GPA, Age, gender, study habit and financial position of student are our independent variables. Here commitment to the study plays the Page | 14

Why Students leave the University? role of moderating variable while Intention to leave is mediating variable. Theoretical reflection and justification of all independent variables, moderating variable and mediating variable is given below in depth. According to the student attrition model introduced by Bean in 1980, previous performance of student is highly important variable according to the bean if the previous performance of the student is good then there will be less chances of student's attention to leave the university on the other hand if student's previous performance is not good then there will be likely more chances of making attention to leave. Hutto stated that the previous academic performance helpful for making decision either to quit or continue some of the students who are bad performing in their subjects they involuntary withdrawal from university. (Hutto, 2002). Seymour and Hewitt describes that women migrants performed worse as compared to women who completed engineering degree in a constructed way which is totally based on the university GPA and high school class rank.(Seymour & Hewitt). Desjardins argued in response of Tinto's model which was made to criticize student attrition model, that GPA of first semester play a vital role in making attention of leaving the university. According to his arguments, If a student gets a good GPA in his/her very 1st semester, there will be less chances of making attention of leaving while if he does not attain a good GPA in very 1st semester then he /she will be de motivated and make attention to leave the university. Bean, 1980 hypothesized grades would have the same effect in the university setting. He added variables to measure pre-matriculation characteristics and student interaction. G.P.A significantly related to satisfaction and organizational commitment and student who have bad academic grade leave impact on

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Why Students leave the University? their decision of withdrawal. (Bean, 1980). Spady also make contribution towards the G.P.A of students he stated that G.P.A is extrinsic reward for students who do job or playing role in developing their professional career for improved opportunity for success, Who dissatisfied with their first G.P.A they quit form the ladder of career developing path. (Spady, 1970, p. 77). Recent research into student attrition rates has identified that the majority of students in higher education are now non-traditional (i.e. between the ages of 25 and 60, working in a part- or full-time capacity, and attending a non-residential college facility to undertake a part-time study program). For example, in 2002 the major provider of technical and further education (TAFE) in New South Wales, Australia, reported that almost 300,000 students who had registered their enrolment were over the age of 25 years, and that over 87% of enrolments were for part-time studies (Statistics Newsletter: Enrolment

Summary 1999-2001, 2002). Furthermore, Streckfuss and Waters (1990) have reported that the mature-age student entering higher education has typically not studied in the previous ten years before undertaking the course. Schlossberg, Lynch and Checkering (1989) suggest that this long period of absence from study is precisely why higher education should be thought of differently for mature-age students. In support of this position they argue that in contrast to traditional students, mature-age students have diverse characteristics, a vast range of life circumstances, more and varied past experiences, are more concerned with practical application, and have greater selfdetermination and acceptance of responsibility. All of which, according to Kerka (1989), results in the student role becoming a secondary activity for mature-age part-time students which contributes to higher rates of withdrawal.

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Why Students leave the University? According to Theoretical Model of Non-traditional Student Attrition Wylie, 2004 a person's gender is also important factor weather he/she make attention of leaving or not. After doing research on that model, it was seen that there are higher chances of making attention to leave in females as compared to males. (Wylie, 2004).Some of the earlier researcher found that intelligence was the only factor that causes gender variations among high achievers. (Robinson, 1965).Bean also makes contribution towards student attrition in which he state that gender and external factors, such as family circumstances and socio economic status.(Bean, 1980). Later some attributed familial factors like parental aspiration beliefs and their socio economic status as the main factors that cause age and gender differences among high achievers by Malathi in 1987.(Malathi, 1987). Theoretical Model of Non-traditional Student Attrition Wylie, 2004 introduced a very important factor of making attention of leaving or not, that is study habit. According to that study, the student who gives more time to their study has less chances of making attention to leave as compared to those students who give less time to their studies. Study habits play an important role for developing skills and knowledge and consider a study is an art which requires more practice in order to become successful. Most of the students who put less effort and achieve more they are more willing to continue their study and who put more effort in study and achieve less make their deci sions to quit. (Nuthanap.G. July, 2007). Ishitani & Desjardins while criticizing five-year study of student attrition identified very important factor of financial position of student regarding with leaving the university. According to their arguments and research, when the student faces financial problems, although he would be not intended to leave but he will can leave the University. Student Page | 17

Why Students leave the University? voluntarily withdrawal from the university due to lack of financial resources or any personal and family reasons. (Hutto, 2002). Tintos (1975) Theoretical Model of Student Integration stated that student's commitment to the study directly affect the student's intention to leave the university. According to that model, if the student committed to his studies, then there are very less chances of making intention of leaving although the other variables like age, gender, first GPA and study habit of student affect the intention of leaving positively. So here we can say that student commitment to the study plays the role of moderation variable which minimize the effect of independent variable to the dependent variable. In other way High commitment to the study affect the first GPA and study habit positively. His own analysis of the students issues of leaving the institutional of their own weak commitment towards their studies and the courses they have selected are not of their own choices that at last force them to leave the university. The main issue faced by them is of the instructors appointed to them are not giving their full efforts to build up the students moral and motivation level. But if they are demotivated by the instructor then they intent to leave the university as they cant go with the system. (French et al., 2005 & Matusovich, 2008). John Bean, 1987 further expanded the previous work of Tinto by adding a very important dependent variable which was "student intention of leaving" according to his argument; Student cannot take the decision of leaving until they are not intended to leave. Only when students are forced to leave the university for example by the factor of unaffordable tuition fee then the students leave the university without their own intention other than this, the student first make intention to leave and then they leave. This Process was Page | 18

Why Students leave the University? included to enhance the students morale towards their intention to leave the university, are they not fully satisfied with the atmosphere of the university or they facing the difficulties in the financial crises of their family back ground situation are making their intentions to leave the university. Majority of the decisions taken by them are of failure in their studies not coming up to the mark as required by the university patters. So they are no longer intended to stay with the studies because they are making them in big trouble of selected courses are the major cause to leave the university. (John R.While, 2004).

2.3. Study GapWe studied the literature about our topic and found gap in which most of them focus on the student intimacy and peer group interaction and also with faculty members as well, academic and social integration and finally we also ignore the cultural aspects that affect the discrimination among them. So we have selected some independent variable on which work has done before but not up to our level of requirement like study habit (NUTHANAP.G. 2007; Wylie, 2004), previous performance (Bean, 1980; Hutto, 2002), Age (Wylie, 2004), First G.P.A (Terry. Ishitani.,2003;Spady,1970) and Financial position(Ishitani & Desjardins;Hutto,2002;Bean,1980)but on the other hand commitment to study(Tinto,1975; French et al.,2005& Matusovich, 2008)as mediating variable that affect on all (IVs) and the last intent to leave(John Bean, 1987 ;John R. Whiyle,2004) as dependent variable.

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3. Frame Work

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3.1. Hypothesis:H1: First semester GPA with low points significantly increase their intention to leave. H2: Nontraditional age of study significantly increase the student intention to leave. H3: Bad study habits significantly increase their intention to leave. H4: Weak or Unstable financial positions significantly increase the rate of students withdrawal. H5: Students commitments to the study significantly minimize the students intention to leave. H6: Less family income of students significantly increase their intention to leave H7: Female gender of the student significantly increases intention to leave.

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4. Research Design4.1. Type of StudyThe main purpose of our study is hypothesis testing. In our research we analyzed the relationship between our dependent variable which is Intent to leave and Independent variables related to different habitual characteristics of students like study habit, personal characteristics of student like age, gender and motivational factors like previous performance , first GPA and financial position of the students. After that we will develop the hypothesis about the effect of this independent variable on dependent variable of student intent to leave and moderating variable that shows effects on the relationship of independent and dependent variable. After that we will test this hypothesis through various statistical data analysis techniques.

4.2. Type of investigationOur type of investigation is causal because our problem is student withdrawal and we had to know the causes of our problem by developing hypothesis related to different factors in shape of independent variables and affects of this independent variable on dependent variable. Then we had tested our hypothesis which we developed.

4.3. Extent of researcher InterferenceIn our study extent of researcher is minimum because we filled out the questionnaire from our respondents and we shown the results as they exist after analyzing statistical

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Why Students leave the University? data and we are concerned only with quantitative data so in our study extent of researcher interference is minimum.

4.4. Study SettingOur study setting is non-contrived because while gathering data we had not make any change in natural environments we will get filled out questionnaires at the spot.

4.5. Measurement and measuresWe made measurement of our variables with the help of closed ended questions. We used the scales related to quantitative data like interval scale, and Likert scale. Commonly we use five points Likert Scale that represents as 1=Strongly Disagree, 2=Disagree, 3=Neutral, 4=Agree and 5=Strongly Agree. For demographic variables like Gender we use dichotomous scale whereas for income, age, G.P.A and prior marks in college used interval scale.

4.6. Unit of analysisOur unit of analysis is individual because we had taken a single student as a sample we make concern about thinking, perception and mindset of a student while getting our questionnaire filled up. At the time of filling the questionnaire by respondents we analyze that the length of some questions is long and there is repetition in some question that address the same thing.

4.7. Sampling DesignSampling technique is convenient sampling and our respondents will be those students which had ever withdrawal our left any course during their study. We used the ratio of

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Why Students leave the University? 10:1 for determining the sample size. The total sample size is n=320 and the questionnaire that we float for collection of data is 72%and out of which we get response from our respondents is 58% appropriate which we used for data analysis some questionnaires are discarded because some questions are move towards the same direction that shows respondents ineffectiveness or leniency in filling the questionnaire and the last that some are also discarded because respondents missing some questions to answer and cant prefer to give them appropriate answer of particular question so thats why we deleted it from our sample size.

4.8. Time horizonOur time horizon is one shot cross sectional because we will gather the data at the same period of time. Different respondents fill up our questionnaires at the same time.

4.9. Data Collection MethodGathering of data usually a major problem how to conduct it there are various forms of data collection method through email, interview, at workplace employees or management of a firm through questions and answers and the last that through questionnaire. Our data collection method is survey through questionnaire. We develop the questionnaire and get the questionnaire filled out by respondents that help in conducting the analysis and interpretation of data. As our research topic is why students leave the university so its very difficult task for us to find out the students who quit due to certain reasons but we collect data from the students who luckily our friends from first semester in current university that quit university that are our respondents 50 of them and we have also collect data from the students who withdrawal any course in current program knowingly

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Why Students leave the University? or unknowingly with any reason that comes in our sample. We collect data from Gift University, Punjab University and Virtual University. Most of the questionnaire we have to collect from the students of virtual university who quit due to study burden or lack of commitment to their study due to online degree program.

4.10. Data Analysis:Data analysis basically provides concrete facts and outcomes of our academic research through various research instruments which provides useful information about our research topic either the information we have gather play supporting role to our research title or not and also present how much deviation occur from actual course of action. Our type of data is quantitative so we use various statistical tools like Regression analysis, ANOVA etc. With the help of different computer programs like SPSS. Data screening is the most important part of our research because we have develop the instruments like questionnaire and make the scale of five in order to check the intentions of students why they leave the university and main purpose gathered the true results from our respondents that withdrawal any course or in reality leave the university. First step towards data screening is to identify the outlier of a data the sole aim of this is to check the data have been entered correctly. The data that we have entered in SPSS consists of 39 variables including four demographic variables to check the population mix impact on intention to leave. When the coding is done of manual data then we analyze that the variable intention to leave contain value 7 that is out of range because we use linkert scale of five items and the case is 12 .The error usually occur in coding of manual data so we find the outlier value with the help of Analyze menu and select

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Why Students leave the University? Descriptive data analysis and further select frequencies in which we broadly look at whole variables rating of each variable and that not only give info about outliers but also state the missing values that have occurred (Analyze Descriptive Frequencies)

and then we go to that variable select it completely then using edit menu option to find the outlier correctly. The second method of data screening is to identify the missing values, so how to deal with missing values there are various methods to entertain the missing values. First, one is to leave the data as it is if missing values are typically small, non random and if missing values on individual items. (List wise and Pair wise deletion).In list wise deletion its not possible for us to use it for eliminating missing values because it reduces our sample size then major disadvantage is that when our respondents give answers of some questions and its not possible for us to delete the variables .In pair wise deletion which removes only missing cases instead of deleting the whole variable so its most useful when sample size is small and missing values are large in such case we use bivariate correlation between all variable data point to correct the missing values. Second option to correct the missing value is to discard the questionnaire in which respondents dont fill questionnaire with full attention or contain more missing values its the disadvantage because it has major impact on the sample size reduction. Third option which we used for replacing the missing value called imputation. We replace the missing value by conducting the mean of the variable and then replace it The following cases are misses of variables like CS3 (Case 20), CS11 (Case 46), ITL12

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Why Students leave the University? (Case 34) and BSH25 (Case 15) that are missing values and replaced by variable mean like CS3 (Case 20=4), CS11 (Case46=4), ITL12 (Case 34=3) and BSH 25(Case 15= 4). So the third module in our Current SPSS assignment how to deal with outliers. In First step we identify the outliers that occur in few cases under variables head. When we identify the outliers that occur then we use the following options to reduce the influence of outliers with the help of delete the value, delete the variable and finally transform the value following are the variables in which we perform the function to remove the outliers. In Bad study habit variable (BSH9) in which extreme outliers take place and we finally delete the variable from list and other variables like (CS3, CS4, CS6, CS9, CS10, CS11, BSH2, BSH3, BSH7 and finally BSH8) in these variables mild outliers occur and we reduce the impact of mild outliers with the help of delete the value and transform the value with the highest and lowest value of variable by adding plus one and minus one. We do the whole process twice to reduce the impact of mild and extreme outliers instead of demographic factors. Due reducing the impact of mild or extreme outliers some values are missing due to the option of delete the value in order to impact reduction but we replace the missing value by average mean of the variable. So by reversing the whole process we arrive at the conclusion that outliers impact on variable at the final is minimum. So the final step of our assignment is to check the normality of data that we have code in SPSS from manual paper. The normality of our data is most important for conducting further analysis on SPSS software. We check the normality of data with the help of histogram with normal curve and further we check the normality of data with few values of analysis like Skewness and Kurtosis. Skewness involves symmetry of the distribution Page | 27

Why Students leave the University? whereas Kurtosis involves peakdness of the distribution. So values of sleekness and kurtosis varies from positive to negative normally greater than .05 and equal to one. So another test we conduct to check the normality of values of variables like KolmogorovSmirnov and Shapiro-Wilk in which our values are greater than.05 that shows positive and negative values combination some values show positive and some are negative values. Table 1 Descriptive Statistics Mean Statistics Commitment to study Intention to leave Bad study habit Weak financial position 4 3 4 3 Std. Statistics .79 1.04 .77 1.2 Skewness Statistics -1.039 -.291 -.588 -.295

The sole aim of our conducting descriptive statistics table analysis in which we have to analyze the sleekness of data either data is normal or not for such purpose to check the assumption of Skewness that varies from +1 to -1 as a sign of normality distributed each variable as labeled in scale. In our descriptive statistics each variable is negatively skewed and have normality of equal distribution.

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Table 2 To measure Reliability and consistency among variables

Cronbacs Alpha

No. Of item

VariableCommitment To Study Intention To Leave Bad Study Habit Financial Position .87 .87 .86 .81 11 6 12 4

The main purpose of check the reliability and consistency in variables item how they are correlated among of then. So Nully in 1960 in which they stated that the Cronbacs value that varies from .6 to .7 in case of strong correlation among variable items. So if the correlated item has value less than .6 but greater than .50 is satisfactory but has no appropriate reference in literature. In our analysis of examining the reliability in which we saw that independent variables like commitment to study, Intention to leave, Bad study habit and Weak financial position had greater Cronbacs alpha value .86 that shows that items of that variable strongly correlated.

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Table 3 Factor Analysis

Sr.

Commitment To Study

Intention To Leave

Bad Study Habit

Bad Financial Position

1 2 3 4 5 6 7 8 9 10 11 KMO Bartletts Variance

.64 .73 .78 .67 .77 .61 .553 .648 .56 .601 .74 .80 .000 44.51%

.725 .851 .742 .773 .855 .715

.550 .709 .616 .721 .741 .751 .713 .701 .645 .583 .478

.702 .82 .86 .81

.851 .000 61%

.823 .000 43.85%

.770 .000 63.92%

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Why Students leave the University? Factor analysis basically used to who questionnaire that we develop address the main construct in terms of at what percentage they explain the construct. And the last but not the least is used to reduce the large number of items into small number of items. First of all we have to check the sample size adequacy like KMO test used to check sample size adequacy and its value ranging from 0 to 1.In which Kaiser states that the sample adequacy greater than .50 is sufficient for further analysis if its fall below then it can be increased with the sample size. In our SPSS data analysis the sample adequacy is greater than.50. Meanwhile the other test that we used to check the normality or significance value in that test our data or variables significance value is.000 is normality of a data. The factor extraction usually based on Eigen values and fixed number of factors. In Eigen if variable has more items or questions round about 12-15 then they wholly divide into component in his own way while in fixed no of component we write extract no of factors 2, 3,4 and receive output in that but on the other hand if we write one then they tell the cumulative variance of all items that address to the desired variable. As prescribed by our instructor we use fixed component extraction technique and receive desired variance of variables like 44.51% for commitment to study (IV), Intent to leave (DVs) has variance of 61%, Bad study habit (IV) has variance of 44%, and Weak Financial position (IV) has variance of 64%.The variance we have determined on the bases of fixed no of component bases not using Eigen values. Component matrix contain the loading of each variable onto each factor, by default SPSS tells all loading values that are less than .40 by default but on the we use the option super pass the loading values to .40.In which they display such items results whose values above then .40 and leaves the values of variables whose below.

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Table: 4 Inter Correlation for intention to leave students and predictors variables

Variable ILT CS BSH WFP

ILT 1 -.171 .569** .258*

CS -.171 1 .078 .383**

BSH .569** .078 1 .476**

WFP .258* .383** .476* 1

The correlation matrix tells about how other independent variables are strongly or significantly correlated with the dependent variable .In which commitment to study, bad study habit and weak financial position strongly correlated with intention to leave as stated by them in inter correlated matrix and at the same way we accept the hypothesis because we state that the commitment to study negatively affects the student attention to leave.(-.171) negatively relationship between the commitment to study and the student intention to leave but at the same time the correlation matrix in which.569**,.476*,.383** are strongly correlated among themselves. The model summary view which states that multiple correlation coefficient (R) using all the predictors simultaneously is .614 and the adjusted R2 is .355 which states that 35% of the variance in Intention to leave can be predicted by the combination of commitment to study, bad study habit and weak financial position. In multiple regression analysis the ANOVA table shows that F=17.52 and statistically significant .That shows that all independent variables significantly

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Why Students leave the University? combine to gather for predicting the intention to leave of students or permanent withdrawal. At the last that coefficient table states that How independent variables contributing towards regression equation the results predict that commitment to study, bad study habit more significantly to multiple regression equation but we include also include all variables. So the F(3, 87) =17.52,p

why students leave the universit1

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