Will I stay or will I go? an empirical study of students’ intention to persist

Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
International Conference on Marketing in the Connected Age (MICA-2018), October 6th, 2018  
Danang City, Vietnam  
Will I Stay or Will I Go? An Empirical Study of Students’  
Intention to Persist  
Nguyen Tran Cam Linha*, Nguyen Phuong Tamb  
aHo Chi Minh City Open University, 97 Vo Van Tan Street, Ho Chi Minh City, Vietnam  
bInternational University - Vietnam National University HCMC, Quarter 6, Linh Trung Ward, Thu Duc District, HCMC, Vietnam  
A B S T R A C T  
Higher education always draws mounting concerns from students, who seek for reliable institutions for further  
study after high school. The number of universities nationally has recently expanded exponentially, providing  
students with numerous choices for consideration. Noticeably, the number of universities using foreign  
curriculum is on a progressively rise, creating an upward trend for students, who desire to study in an  
international environment within Vietnamese territory. More money saving than studying abroad and living  
near family are of common triggers attributed for the strong appeal of this trend. Nonetheless, regardless of its  
advantages, the challenges in terms of language, culture, or curriculum when studying in those universities are  
posing an inquiry about the rate of student retention.  
Student intention has been a focal topic of research in higher education research the last few decades  
(Braxton, 2000). Interestingly, this issue yet receives little attention in Vietnam’s higher education. This paper  
attempts to fill in this gap, by examining factors affecting student’ intention to persist at foreign-affiliated  
universities in Vietnam.  
In particular, this paper examines the intention-to-persist implication of five major factors namely Academic  
integration, Social integration, Goal and Institutional commitment, Career outcome expectation, and Social  
and cultural capital. The paper went through two main stages; the preliminary study and the main study. The  
preliminary study employs qualitative method to adjust and supplement the adapted the existing measurement  
scales. The main study conducts a quantitative survey with 350 questionnaires distributed to students of five  
universities.  
The empirical findings support the proposed hypotheses (revised after EFA), showing that five causal  
relationships do exist. What is more, Career outcome expectation has strongest effect on students’ intention to  
persist (β=0.331), followed Goal and Institutional commitment on Intention to persist (β=0.327), Social and  
Cultural capital (β=0.200). In addition, Academic integration (β=0.246) and Peer interaction (β=0.237) have  
positive effects on Goal and Institutional commitment.  
In short, the results demonstrate the appropriateness of initially proposed model and hypotheses, the model is  
fit with the quantitative data. Overall, Academic integration and Social integration (including Peer interactions  
and faculty concern for students and teaching) positively affect Goal and Institutional commitment. Besides,  
Career outcome expectation, Goal and Institutional, and Social and Cultural capital directly influence  
students’ Intention to persist. May this paper be a source of reference for those interested.  
Keywords: Intention to persist, Affiliated University, Structural Equation Modeling  
* Corresponding author. E-mail address: [email protected]  
317  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
1. Introduction  
Recently, the percentage of high school students seeking for higher educational level continues to increase  
dramatically. Indeed, reports show that there were more than 1.8 million applications to register for the college  
and university entrance examination (Vietnamese Ministry of Education and Training, 2012). The number of  
students studying colleges increased by 71% rising from more than 400 million to more than 700 million  
students, and that of universities increased by 23% from 2007 to 2013 (Vietnamese Ministry of Education and  
Training, 2013). Besides, the number of higher education institutions also readily increased to meet the demand  
of students, by 29.3% during the period from 2007 to 2013.  
These figures demonstrate a positive signal to the development of the country since human capital approach  
to higher education ties a nation economic prosperity to an educated labor force (Yorke & Longden, 2004).  
Nevertheless, the fact is that not every student could successfully accomplish their degree in college. Instead,  
many just drop out of school in the middle of journey owning to various intentions. For instance, the proportion  
of UK students failing to complete their degree increased from 13% (1982 - 1983) to 22% in 2007 (BBC News,  
2008). The Australian student failure rate at university stands at about 11%, in which the percentage of students  
dropping out of school during their first year made up nearly 20% (Herald, 2009). In 2010, two-thirds of  
American students terminated their college after the first year (ACT, 2011). One out of every two of the 18.3  
million students enrolled in American colleges and universities in fall 2010 will not graduate (Yale, 2010).  
Chronicle Almanac (2011) reveals that nearly 20% of undergraduates do not graduate within six years. The  
situation of students leaving school prematurely has become popular in many institutions worldwide.  
In Vietnam, the increase of recently established higher education institutions is deemed to bring more chances  
for those who failed to join in their desirable university, but still could become a student in other universities or  
colleges. This unintentionally promotes many students to join in an institution that is not fit to them, leading to a  
great growing number of students after a certain period of time experiencing their studies have a tendency to  
leave the school. For example, at Ton Duc Thang University, the percentage of students, who quit learning  
halfway account for 25% in comparison with 75% of students keep studying until get graduated (Thanh, 2010).  
Moreover, the rationale for the increase in dropout rate is extended to various reasons. According to Mr. Nguyen  
Duy Anh, Department Head of Student Affairs, Ministry of Education and Training, there were 1,163 students  
dropping out of college before graduation because of money insufficiency during the academic year from 2011  
to 2012. A majority of students from other provinces and remote areas come to big cities for further study. Many  
of them cannot continue their studies due to the lack of ability to finance tuition fee and the basic demands of life  
when studying far away from home. In addition, many students state that they fail to pursue their academic  
commitment since they feel unconnected with major, school curriculum or environment, dropping out of college  
is the best way to save time for other choices. Other common reasons are attributed to their boredom of learning  
or hopelessness of future career if they keep spending time on classes (Hau, 2013).  
Noticeably, in the process of international integration, the increasingly growth of Vietnamese higher  
educational institutions, which include foreign element in their educational curriculum is drawing a lot of  
attentions from Vietnamese students, who have desire to study in an international environment in Vietnam.  
According to the Vietnamese Ministry of Education and Training, there are nearly 80 Vietnamese higher  
educational institutions, which are linked with foreign partners to operate international curriculums. However,  
many people still afraid of the quality of such curriculums. It is undeniable that students who studying in such  
environment have to deal with a lot of challenges associated with high level of language requirements, cultural  
adaptation, pressures from foreign curriculum. Furthermore, in the situation that the higher education student  
attrition rates are perceived still high among universities in Vietnam, posing a question how these educational  
institutions could increase the retention rate of students.  
Student retention is a widely-discussed topic, yet limited research examines factors influencing student  
retention among universities in Vietnam which is crucial to improve the education system. In addition, the  
consequences of low student retention rate are not negligible. From institution perspective, the loss of students  
departing from school at early stage might result in greatly financial loss and lower graduation rate for the  
institution since administrators have to spend a huge expenditure for recruitment process. It might also  
destructively affect the way that investors, parents, and students view the institution as well as reduce the degree  
of college reliability. Low retention rates not only affect institutions that must bear a burden of economic  
problems, but also reduce the ability of a country to compete in a global economy (Friedman, 2005; Seidman,  
2005a).  
From student perspective, the incompletion of higher education also leave behind a variety of serious  
consequences associated with it. A study indicates that jobs requiring a bachelor's degree will grow by 25%  
(Alliance for Excellent Education, 2003e). According to article in "The Wall Street Journal" (2012) cited by  
318  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
Kokemuller (2015) college dropouts encounter more limited career opportunities than graduated counterparts.  
Students who hold a bachelor's degree are more opened to the door to enter in higher positions in numerous  
fields. As a premature departure, it is difficult to win the job when many people who hold degrees applying for  
the same position, even in the job when a degree is not a compulsory. Additionally, it also leads to other  
consequences, for instance, a study by Council on Contemporary Families (2012) revealed that divorce rates  
were higher for those without college degrees than college graduates. The upshots resulting from dropping out of  
colleges are mostly negative, bearing onerous burdens on those involved.  
Therefore, now more than ever, higher education administrators of higher education institutions must be  
aware of the reasons why students depart from school prematurely and figure out the solutions so as to help  
students overcome barriers to achieve their academic goals. Understanding the factors influencing student  
retention would be an aid in increasing this rate, benefiting to students, institutions, and the whole society.  
Hence, additional research is required to determine strategies to address this issue.  
The purpose of the current study is to identify factors affecting student retention at a number of Vietnamese  
foreign – affiliated universities in Ho Chi Minh City. Since higher retention rates of students during their college  
life are directly linked with their overall satisfaction with the school they are studying (Hanover research, 2010),  
an understanding of determinants might be the useful directions of increasing student retention at institutions.  
Thus, the main objectives of the current study are as follows: (1) To identify the factors influencing student  
intention of retaining at Foreign - affiliated universities in Ho Chi Minh City. (2) To determine the effect of  
degree of each factor towards student Intention to persist at Foreign - affiliated universities in Ho Chi Minh City.  
(3) To figure out recommendations to increase student retention rate for Foreign – affiliated universities in Ho  
Chi Minh City.  
2. Related Theories  
2.1. Student retention and Intention to persist  
Student retention has received an increasing attention from many scholars, especially for those who indeed  
concern about higher education. Because higher education is deemed to provide students with benefits and  
advantages by learning outcomes and offered knowledge, it should be seriously considered about the increase in  
the number of students who do not retain at school. As cited by Strauss (2001), Bowen said the basic educational  
task of colleges and universities is to help students achieve cognitive learning, emotional and moral  
development, and practical competence. Moreover, the benefits of higher education are definitely extended to the  
whole society as a growing number of students are well – educated, resulting in the increase in employment rate,  
the decrease in poverty, crimes and environment – related issues.  
Student retention is defined as normal progression, standing for a stayer or retained student, referring to those  
who fully participate in each academic semester until degree completion. A dropout, or leaver, is a student, who  
leaves college before graduating and never enters to other college or return to the old college. Another type is  
called transfers, indicating the students who start studying at one institution and then transfer to another after a  
period of time. The definition of retention also can be defined in another perspective as efforts and strategies to  
anticipate and identify student needs prior to high school enrollment (Fowler & Luna, 2009). Tilghman (2012)  
defined adult student retention as participation in any credit-bearing activity over the course of a year, indicating  
the rate at which students fulfill individual courses. Additionally, adult student retention is also defined as the  
persistence of a cohort of in-coming students by academic term through graduation.  
Tino (1975) classified two definitions of dropout. The first one is dropout refers to those persons, who leave  
the college at which they are registered. In other words, it means that they fail to accomplish the program at their  
university of enrollment. Those who drop out hurt the institutions in various aspects, such as vacancy of classes,  
economic or academic investment of school on them. The second definition of dropout refers to only to those  
persons who never received a degree from any institution of higher education.  
Bean (1980) defined student attrition is similar to turnover in working institution and place an emphasis on  
the significance of behavioral intentions (stay or leave) cited by Cabrela et al. (1993). Behavioral intentions are  
captured by a process whereby beliefs shape attitudes, and attitudes, in turn, influence behavioral intents‖. When  
studying in a college environment, beliefs are supposed to be influenced by the student's exposures to the various  
elements of an institution such as institutional superiority, curriculum, and classmates. Negative beliefs result in  
behavioral intent of dropping out, meanwhile those who have positive beliefs tend to persist. Before the decision  
is made, behavioral intention was formed by university experiences. In other words, behavioral intent of  
persisting or dropping leads to the decision of retaining or leaving.  
It is noticeable to differentiate two terms, retention and persistence since many misunderstandings has made  
on them, as Reason (2009) pointed out that researchers use these two terms interchangeably. As his view,  
319  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
retention is used when institutional needs presented, and persistence when regard to student needs and behaviors.  
The term departure is used to describe the contrary meaning of retention, and student attrition is defined as the  
termination of individual student involvement in a particular higher education institution (Bean, 1980, p. 157).  
2.2. Academic integration  
Academic integration is a concept that has repeated a lot of times when its role on students who enter in  
academic environment was recognized. Liegler (1997) defined Academic integration as a way to evaluate the  
level of student satisfaction, participation, and success in learning. Similarly, Kuh et al. (1994) considered  
Academic integration as a reflection of student level of satisfaction towards their curriculum at college.  
Academic integration is shaped when a student intellectual competence corresponds with the academic climate  
or requirements at the universities or colleges. It also can be perceived as student awareness of their intellectual  
growth or attainment when experiencing academic works given by institutions (Tinto, 1975). Lovitts (1996)  
compared Academic integration as a key for students to assess their purpose of learning. According to Kuh &  
Love (2000), students with high level of Academic integration indicates that their academic performances in  
classes are personally satisfied, gain the practical values from their classes, and feel pleased with their  
coursework. Students become keenly involved in academic activities when their performances are affirmed and  
those activities are useful and interesting to their life (Hardre & Reeve, 2003). Academic integration consists of  
several determinants that affect the ability of students in order to assimilate with the academic university climate.  
Some factors which can be named are grade point average (GPA), personal interactions with faculty,  
participating in study groups, and the superiority of academic advising (Arnold, 1999) as cited by Libby, A. K.  
(2006).  
2.3. Social integration  
As Tinto (1993) defined, Social integration refers to formal and informal social interactions that students  
experience at university, which can be seen through student contacts and relations to his or her peers, being  
achieved when the connection of students and institution exists. According to ACT (2004), Social integration is  
determined by the extent to which an individual feel linked to the college climate, peers, faculty, and engaged in  
college activities. Garder (2008) stated that socialization is the process that students observe social behaviors and  
learn how to be socialized. Similar to Academic integration, Social integration denotes the correspondence  
between an individual with a set of characteristics and other persons of various personalities in social climate of  
institution. According to Pascarella & Terenzini (2005), Social integration refers to the extent to which the  
individual shares the normative attitudes and values of peers and faculty in the institution and abides by the  
formal and informal structural requirements for membership in that community or in the subgroups of it‖. Kuh &  
Love (2000) considered Social integration as the student degree of social and psychological contentment with  
their school environment, when students feel assimilated to a group of other students and do not need to be  
anxious about being isolated from college community. As students are exposed to a variety of formal and  
informal interactions of student within a university, their interactions will enhance the degree of coziness or their  
match with the institution (Jones, 2011). Carol (2007) shared different view towards Social integration, he  
defined Social integration refers to integration of students who possess similarities in their interests, rather than  
the general notion that individuals are assimilated into the dominant group.  
2.4. Goal commitment and Institutional commitment  
In general, commitment can be defined as the attachment that defines the relationship between a subject (an  
individual, group or organization) and its objective (the target of commitment) (Forji, 2007). Commitment is  
clearly identified when an individual accepts to deal with obstacles with an aim of continuing with the subject  
until the ultimate goal is reached (Tinto, 1987).  
According to Locke (1968), goal commitment is defined as the individual consistence of pursuing goal  
overtime, meaning that one would not change his or her direction from the beginning until the goal is achieved.  
He also indicated that goal commitment facilitates the distance between goal troubles and achievement, which  
can be detected when subjects are committed to the goal. Over the years, this term has been explained in various  
ways and become more general. Hollenbeck, Williams, & Klein (1989) defined goal commitment as an  
individual's determination to make effort for a goal and his or her insistence in engaging in actions to accomplish  
the ultimate goal. Similarly, Campion and Lord (1982) cited by Donovan and Radosevich (1998) defined goal  
commitment as the expansion of attempt throughout the process of goal attainment, highlighting that the  
individual embrace a resistance to change his or her goal. When it comes to higher education, Tinto (1993)  
320  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
defined goal commitment as the extent to which the student is devoted or encouraged to acquire college degree  
in general. Goal commitment refers to students promise to the educational objectives, for instance, get graduated  
or student desire to achieve bachelor degree. It can be realized that students who are greatly commit their goal to  
accomplishment, will tend to remain at school to achieve the goal, vice averse, for those who have less goal  
commitment, will tend to leave the college before graduation. Tinto (1975) also supposed that goal commitment  
is an essential element in predicting student dropout behavior since it clarifies the psychological alignments or  
directions which students already set for themselves prior to joining in the university environment, those  
prearranged alignments or orientations will direct them and decide their manner they approach and relate to the  
college setting.  
Organization commitment is relevant to institutional commitment as Bean (1980) who constructed his theory  
model based on the similarities between employee retention and student retention. In regard to organizational  
behavior, commitment is debatably among of most vital element implicated in employee support for change  
creativities (Conner, 1992). Organizational commitment can be understood as employee alignment to an  
organization mission and vision. Mowday, Steers & Porter (1979) defined organization commitment is as novel  
state of mind which helps employees to identify themselves with their organizations goals and wishes to  
maintain membership of their organization. Organizational commitment is a firm belief which can lead  
employees towards unconditional acceptance of organizational norm, culture, rules and regulation; it is employee  
willingness to exert significant efforts on the behalf of organization organizational commitment is helpful to  
inculcate an intense desire in employee to maintain employment in the organization‖. When it comes to  
institutional commitment in college setting, Tinto (1975) defined that it is the relation between an individual  
commitment of university completion and his commitment to this institution, which can determine whether or  
not students opt to leave or remain at institution. Nora and Cabrera (1993) cited by Strauss (2001) defined  
institutional commitment as the combination of the certainty of institutional choice by a student already enrolled  
at the institution, institutional quality/prestige, a student sense of belonging to the institution, a student  
perception of the practical value of their education, the student loyalty to the institution and the student's affinity  
of values with those of the institution  
2.5. Social and Cultural capital  
The concept of Social and Cultural capital was initially developed by Pierre Bourdieu to explain the social  
inequalities, it does not refer to individual social positions in terms of financial asset, rather refers to individual  
cultural resources (Longden, 2004). Firstly, according to Bourdieu (1986) social capital is the interpersonal  
relationship that students are often acquired in connecting with their friends rather than at home. Annette (2007)  
defined social capital as the social linkages and associations that reinforce individual educational  
accomplishment and completion. It is developed by joining into major social networks in school settings.  
Secondly, Cultural capital (Bourdieu, 1986; Bourdieu & Passeron, 1977) includes culture-based factors and  
indicators of symbolic wealth that help define a person class. Cultural capital of individual is often formed based  
on their family, their parental education, parental involvement in children learning. Brucker (2004) cited by  
Annette (2007) indicated that cultural capital includes valued academic and mainstream cultural knowledge and,  
just as importantly, the cultural dispositions that are most conductive for success in various school settings‖. It  
can be developed through individual exposure to educational resources such as books, computer, libraries.  
According to Jantrasakul (2010), cultural capital is the accumulation of knowledge and experience that one can  
learn or be affected from the surroundings during their living. Bourdieu and Passeron (1977) cited by Wells  
(2008) stated that cultural capital could transfer from one to another, forming the basic of reproduction,  
especially related to education‖. Referred to Bourdieu's view, students who are exposed to upper classes are  
easily adapt to the environment of higher educational institutions which usually offer high cultural practices. The  
triggers are attributed to their various chances to approach high cultural context regarding the facets of the  
dominant culture such as visiting to museums, reading good books, and attending concerts as they were born in  
family on high status or income. And those of lower classes are hardly to accommodate themselves to the high  
cultural climate of the college setting since may there a disparity between their prior accumulated cultural capital  
and the culture in institutions. It may create a barrier for them to adapt the college climate, leading to withdrawal  
behaviors. For instance, the disparity between the culture of the home environment and the culture of the  
university makes it more difficult for students from poor areas to fit in and stay in higher education system as  
everything seems to be novel to their cultural capital.  
2.6. Career outcome expectation  
321  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
Career self–efficacy was developed based on the theory of self-efficacy expectations as a result of behavioral  
change. Self–efficacy refers to the beliefs in competencies with respect to the behaviors necessary in particular  
career relevant domain‖. Outcome expectations refer to confidence in the outcome of carrying out given  
behaviors (Betz & Voyten, 1997). Noticeably, efficacy and outcome expectations are distinct each other since  
not every action reach the goal as expected.  
Career outcome expectation is defined as desired results of future occupation which draw from the behaviors  
or actions of an individual (Lent et al., 1994). To be more specific, outcome expectation is ultimately predicted  
upshot of carrying out a specific action. Outcome expectations are also considered an indicator or foundation for  
an individual to decide whether he or she should do or do not to reach the perceived expectations of what that  
behavior will produce. According to Bialosky et al. (2010) who clarified expectation into four categories:  
Predicted expectation which refers to what the individual believes the action will generate; Ideal expectations  
which refers to what the individual desires to occur; Normative expectations which refers to what the individual  
deems that should occur; and Unformed expectation which refers to the lack of a preconceived notion regarding  
a situation or intervention. Additionally, there are other theories mentioning about the outcome expectation with  
similar view. Expectation theories explain the individual motivation to involve in a specific action grounded by  
the expected result (Atkinson, 1977). Meanwhile, Social Cognitive Career Theory (SCCT) concerns about how  
the individual judges the behaviors based on the expectation of the consequence (Lent et al., 1994). A concern or  
preference for a specific job was formed by considering about possible outcomes regarding income, satisfaction,  
social status, responsibilities, etc. When ones determine their job preference, they would likely accomplish the  
goal of education (Feldt & Woelfel, 2009).  
3. Hypotheses and Research model  
Academic integration and Social integration on Goal commitment and Institutional commitment Tinto (1975,  
1993) suggested that the level of student Academic integration and Social integration in institutions affects their  
commitment to the college, which in turn impacts the possibility of student to continue or leave out of school.  
During a few weeks after entering the college, the experiences of academic and social activities will affect  
student integration into the institutions (Beil, 1999). The study of Pascarella and Terenzini (1983) found that  
Academic integration of an individual is correlated to commitment of whether students remain or drop out of the  
current institution (Beil, 1999). Also, in the longitudinal study of Beil, the result showed that Academic and  
Social integration do not have direct effects on student retention, rather Academic and Social integration  
influence the level of commitment to the institution. The greater academic and social students integrated to their  
college, the higher value of commitment is. Another study by Jones (2010) focused on the impact of Social  
integration on Goal and Institutional commitment on gender, he found that this correlation does exist both on  
male and female, but stronger than on female, which indicates that men and women are distinct in approach to  
Social integration. Furthermore, in the recent research, Yong (2013) suggested that the future scholars should  
explore the factors affecting student retention, in which two constructs Academic and Social integration were  
recommended. Besides, Robinson (1969) cited by Dobbins et al. (2000) found that students who leave school  
usually do not feel the match between their satisfaction and offered curriculum which is referred as a notion of  
Academic integration. In college environment of diverse cultures and races, Chang (1999) also found that  
multicultural interactions in school boosted up student persistence, institutional satisfaction, and intellectual  
range and social self-concept. Students who have negative interactions and experiences tend to become  
disillusioned with college, withdraw from their peers and faculty members, and ultimately, the institution.  
Numerous comprehensive studies have concluded that institutional factors, such as faculty – student  
relationships and innovative teaching methods can significantly motivate and challenge students to learn and stay  
in school (Lau, 2013).  
Therefore, there are two hypotheses proposed regarding Academic integration, Social integration and  
commitment.  
H1: Academic integration has significant effect on Goal commitment and Institutional commitment  
H2: Social integration has significant effect on Goal commitment and Institutional commitment  
Goal commitment and Institutional commitment on Intention to persist  
Goal commitment is considered a factor which is ―argued to be central to an individual's decision to drop out  
of higher education (Tinto, 1975). Given levels of institutional commitment, the lower the individual  
commitment to the goal of college completion the more likely is he to drop out. According to Tinto (1993),  
commitment acts a mediator between integration and retention. The studies by Zea et al. (1997) and Beil (1999)  
322  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
all support for the meditational role of the model proposed by Tinto (1975,1993), which indicates that Academic  
integration and Social integration do not directly influence on retention, rather affect the extent to which students  
commit to institutions, then ultimately leading to student decision of whether stay or drop out. In other research,  
Naskrent & Siebelt (2011) also concluded that commitment plays a central factor of donor retention as it creates  
a foundation for an individual to sacrifice and continue attaching to the object. Sandler (2000) studied about the  
retention among non - traditional aged students at a private urban research university. His result showed that  
institutional commitment had the greatest direct impact on the intent to persist. Mbura (2011) stated in his paper,  
goal commitment is the second determinant determining African American student decision of drop out or stay  
at college. Nora, et al. (1997) cited by Strauss (2001) studied on retention of Hispanic students, his findings  
supported the direct impact of institutional commitment on student retention. The study by Cabrera et al. (1993)  
also supported the correlation between Goal commitment and Institutional commitment on Intention to persist.  
Hence, the hypothesis is proposing as below:  
H3: Goal commitment and Institutional commitment has significant effect on Intention to persist  
Social and Cultural capital on Intention to persist  
Social and Cultural capital developed from family and surroundings probably imposes an impact on college  
student intention. Students with high level of traditional Social and Cultural capital are more likely to feel ―an  
entitlement to postsecondary education‖ (McDonough, 1997) and may not only see ―college attendance as an  
entitlement but may display persistence as well (Berger, 2000). Although some aspects of cultural capital have  
been determined for its impacts on retention, a comprehensive quantitative analysis has not been carried out  
(Wells, 2009). There are some studies regarding the effect of cultural capital on student retention. Berger (2000)  
stated that students who process higher level of cultural capital tend to stay at colleges compared to those with  
lower procession of Social and Cultural capital will possibly drop out. In other words, students with higher levels  
of organizational cultural capital will be more strongly positively associated with persistence at institutions.  
Moreover, the study of Wells (2009) results in the positive correlation between Social and Cultural capital  
possession and the likelihood of student persistence. Access to various forms of capital is also associated with  
gender and ethnicity, which must be taken into consideration (Longden, 2004); however, in this study, the  
research only focuses on the impact of cultural capital on student retention because ethnicity and gender factors  
in Vietnamese international universities are not exceptionally outstanding.  
According to the discussion above, there is a hypothesis proposed:  
H4: Social and Cultural capital has significant effect on Intention to persist  
Career outcome expectation on Intention to persist  
The concept of Career outcome expectations has received relatively little empirical attention (Fouad &  
Guillen, 2006). As SCCT stated, Career outcome expectation is an indicator to encourage student incentive to  
involve in their college works. If an individual optimistically expects about their future career, it turns out a  
strong stimulation for students to study harder, vice averse, those who negatively think of the career outcome  
will tend to avoid engaging in school works, which leading to drop out. Study by Betz & Voyten (1997)  
indicated that outcome expectations are effective predictor of student career indecision and college retention. An  
empirical research by Concannon & Barrow (2010) insisted the correlation between students Intention to persist  
and Career outcome expectation of both men and women majoring in engineering. The results show that an  
engineering student who supposes the outcome of college completion cannot attain for a desirable future career,  
he or she will tend to discontinue with the program. Additionally, the result also shows that COE place greater  
importance on women than men. Another research result indicated that outcome expectations resulted from the  
perceived effectiveness of a higher education associated with the goal of accomplishing a degree have reliable  
foundation for forecasting the Intention to persist of the students beyond freshman (Kahn, Nauta, Gailbreath,  
2002) as cited by Feldt (2009). Supporting this correlation, Hoyt (1998) indicated that student declaration of a  
university major or occupation has an effect on their persistence. If student expectations are satisfied, it leads to  
the higher possibility of intent to persist. Additionally, Peterson (1993) cited by Hoyt (1998) found that self–  
efficacy of student career is correlated to Academic integration and Social integration.  
According to above discussion, a hypothesis can be formed as below:  
H5: Career outcome expectation has significant effect on Intention to persist  
4. Sampling and data collection  
323  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
Normally, with a small simple size, it will equivalent with the less accuracy of data. On the other hand, the  
bigger the sample size is the more accurate the data will be, but it is quite time–consuming and costly to collect a  
large amount of data. In fact, the appropriate sample size can depend on the analysis method and the number of  
items in questionnaire. If SEM is employed to analyse data, Hair & et.al. (1998) suggested the number of  
questionnaire needed is at least from 100 – 150. Hatcher (1994) supposed that the number of questionnaire  
should be more than 5 times the number of observed variables. Tabachnick and Fidell (2003) suggested that the  
minimum sample size is 300. After considering about time, financial ability and the number of items, the  
researcher aims to collect 350 questionnaires. This study employed convenience sampling method.  
Questionnaires were delivered to students studying in foreign – affiliated universities via 2 main channels: online  
and offline. With online channel, the researcher created an Internet survey in terms of Google docs form, then  
sent the link to respondents. This method is perceived as time saving and convenient. With the offline channel,  
the researcher directly delivered paper-and-pencil questionnaires to students at foreign – affiliated universities in  
Ho Chi Minh City. This method is quite time, but the advantage is that the researcher could observe whether  
surveyed people answer seriously or not. Qualitative research data is collected by one–on–one discussion method  
with one staff and six students separately. Quantitative data is collected via 2 channels. Via the online channel,  
the researcher took advantage of social network which links a large number of people together. Thanks to great  
supports from friends, the researcher found out a variety of student personal facebook address. Based on their  
personal information on their page, research could determine whether they are right targets or not. After finding  
the right targets who meet the requirements of the study, researcher asked for their willingness to complete the  
survey. Questionnaire link were sent to those who are serious with it. Via the offline channel, the researcher  
came to foreign – affiliated universities. The printed questionnaires with designed structure of 3 parts would be  
directly delivered to the respondents within the appropriate time when they are free from busy works. To easily  
access to the right target, researcher asked for the helps from some lecturers and friends to deliver questionnaire  
to students in their classes.  
5. Data analysis and result  
There were 350 questionnaires dispatched to respondents, in which 163 questionnaires were collected via online  
survey, and 177 questionnaires in terms hard copies were collected. After filtering and eliminating  
questionnaires, which violate the requirements as presented in methodology part, 307 questionnaires officially  
were used for data analysis. As can be seen, the appropriate response rate accounts for 87.7% which is  
considered relatively good.  
The questionnaires were delivered to five universities in Ho Chi Minh City, which apply foreign curriculum in  
teaching, including International University (IU), RMIT, FPT, Hoa Sen, and Bach Khoa (UT) – ILLINOIS.  
The allocation of observations shows disparity among universities, especially International University. Out of  
307 valid surveyed questionnaires, there are 128 students who are studying in International University (IU),  
which occupy the largest proportion, 41.7 % of the total. This greatest rate can be explained that the researcher is  
also a student of this university, making it easier for researcher to approach and do survey on the students here  
compared to those of other universities. Besides, the percentages of others universities in this list are  
approximately the same, in which RMIT's students stand for 15%, followed by 14.7% of both FPT's students and  
Bach Khoa (UT) – ILLINOIS’ students. The least one is Hoa Sen ‘s students with 14% in total.  
Table 1 also shows the tuition fee of each university. It can be seen that RMIT and FPT universities are the most  
expensive ones, both of them require students to pay more than 60 million per year. IU, Hoa Sen and UT –  
ILLINOIS have similar yearly tuition fee ranging from 40 to 60 million. It is obvious that students seeking  
higher education in these foreign – affiliated universities have to pay a much larger amount of money compared  
to the other Vietnamese conventional universities.  
324  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
Table 1: Description of respondent information  
Characteristic  
Frequency Percentage (%)  
Male  
140  
167  
307  
107  
135  
65  
45.6  
54.4  
100.0  
34.9  
44.0  
21.2  
100.0  
30.6  
11.1  
6.5  
Gender  
Female  
Total  
Academic  
year  
Freshman  
Sophomore  
Junior  
Total  
Business Administration  
Biotechnology  
307  
94  
Major  
34  
Food Technology  
Electronic – Electrical Engineering  
Finance - Accounting  
IT  
20  
45  
14.7  
11.1  
7.2  
34  
22  
Restaurant and Food Service Management  
Communications  
Others  
15  
4.9  
33  
10.7  
3.3  
10  
Total  
307  
1
100.0  
0.3  
Permanent  
Address  
The South  
The Middle  
22  
7.5  
The West  
36  
11.7  
80.8  
100.0  
3.9  
The Southeast  
248  
307  
12  
Total  
Monthly  
Family  
income  
< VND 10 million  
VND 10 – 20 million  
VND 20 – 30 million  
> VND 30 million  
Total  
91  
29.6  
39.4  
27.0  
100.0  
121  
83  
307  
Barlett’s test of Sphericity is significant < 0.05 (Sig. = 0.000), the value of KMO is 0.906 which is much higher  
than 0.5. Total variance explained is also satisfactory with 59.324% (> 50%). All the factor loadings are greater  
than 0.5, ranging from 0.53 to 0.917, and there is no cross factor – loading. Therefore, this result meets all  
requirements for an acceptable factor analysis. The software of AMOS 20.0 was employed, demonstrating the  
results as following: The CFA results show that most of criteria are acceptable: CMIN /df = 1.783, TLI = 0.91,  
CFI = 0.919, AGFI = 0.807, and RMSEA = 0.51, except only GIF = 0.835 which is less than 0.9.  
As can be seen that the reliabilities for all constructs are greater than 0.7, except Foreign Cultural Capital (0.68).  
This can be explained that this construct only contains only 2 items to measure and it is the result extracted from  
EFA test, so the reliability test for this one is not really powerful. Its AVE is above 0.5 (0.515), which is satisfy  
the convergent validity and discriminant validity. According to Hair (2010), reliability ranging from 0.6 to 0.7 is  
sometimes acceptable when other construct validities of model are good. Moreover, this content validity of these  
two scales is confirmed by qualitative results and its meaning is particular appropriate to the purpose of this  
study which aims to focus on students studying in foreign – affiliated universities. Therefore, this construct is in  
an attempt to retain for the further hypothesis test. On the other hand, all other constructs reach the standard of  
tests, reliability, convergent and discriminant tests are satisfactory:  
325  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
Table 2: Construct validity  
CR  
0.819  
0.886  
AVE  
0.533  
0.566  
MSV  
0.508  
0.279  
ASV  
0.202  
0.181  
FI  
COE  
SCC  
0.881  
0.604  
0.341  
0.212  
PI  
0.832  
0.784  
0.854  
0.889  
0.867  
0.680  
0.504  
0.550  
0.596  
0.672  
0.621  
0.515  
0.263  
0.341  
0.360  
0.375  
0.508  
0.315  
0.200  
0.181  
0.207  
0.260  
0.244  
0.136  
GIC  
AI  
ITP  
FCS  
FCC  
The SEM results show that most of criteria are acceptable: CMIN /df = 1.721, TLI = 0.942, CFI = 0.951, AGFI =  
0.873, and RMSEA = 0.49, except only GIF = 0.835 which is less than 0.9. All of measures satisfy the  
standardized criteria for measurement model fit as can be seen from the SEM round 3’s result summarized table.  
Therefore, the model fits with the data.  
6. Findings  
Hypothesis 1: Academic integration has a significant effect on Goal and Institutional commitment.  
The result of SEM shows that Academic integration has no effective on Goal and Institutional commitment is  
rejected (P – value < 0.05). This means that Academic integration has a positive impact on Goal and Institutional  
commitment at a degree of 0.246. Beil (1999) and Pascarella & Terenzini (1983) also support this relationship,  
which indicated that academic integration does not directly affect student retention, instead strongly impact  
student commitment.  
Hypothesis 2: Social interactions has a significant effect on Goal and Institutional commitment.  
Hypothesis 2 proposes that Social interactions positively affects Goal and Institutional commitment. This  
hypothesis is supported as the result of SEM (P – value < 0.05) with the degree of 0.237, which is slightly less  
than that of Academic integration. This finding is in line with Jones’s (2010) study that shows the impact of  
social integration on Goal and Institutional commitment, in which peer interactions are included in the social  
climate.  
Hypothesis 3: Goal and Institutional commitment has a significant effect on Intention to persist  
The result of SEM shows the hypothesis that Goal and Institutional commitment has a significant effect on  
Intention to persist is supported (P – value < 0.05). This means that Goal and Institutional commitment has a  
positive impact on Intention to persist at a degree of 0.327. This result is similar to the results of studies by Weng  
(2010), Pascarella & Terenzini (1983), Cabrera et al. (1993), which indicated that Goal and Institutional  
commitment have greatest impact on students’ intention to persist.  
Hypothesis 4: Cultural capital has a significant effect on Intention to persist  
Hypothesis 6 proposes that Social and Cultural capital has a significant effect on Intention to persist. This  
hypothesis is supported with a statistical significance of P – value < 0.05. The result shows that Social and  
Cultural capital affects Intention to persist at a degree of 0.200. This result is consistent with the study of Wells  
(2009) which resulted in the positive relationship between Social and Cultural capital possession and the  
likelihood of student ̳s persistence.  
Hypothesis 5: Career outcome expectation has a significant effect on Intention to persist.  
The result of SEM confirms the right of causal correlation between Career outcome expectation and Intention  
to persist (P – value < 0.05). More specifically, Career outcome expectation has positive effect on Intention to  
persist at a biggest degree (0.331) compared to other factors. This result is consistent with the result of study by  
Concannon & Barrow (2010) which confirmed the positive correlation between Career outcome expectation and  
326  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
engineer student intention to persist.  
7. Conclusion  
This study aims at exploring the factors influencing student’s Intention to persist in foreign – affiliated  
universities in Ho Chi Minh City. Given this purpose, the study was conducted on students studying in five  
universities using foreign curriculum in teaching. Students who were surveyed are mostly freshmen, sophomores  
and juniors, while seniors are of rejection of target as they are nearly in the edge of graduation during the thesis  
time. Four independent factors and one dependent factor were initially proposed in the research model to have  
effects on students’ Intention to persist. The study employed qualitative results of one-on-one discussion with six  
students of various universities in order to adjust measured scales adopted by various scholars researching on the  
same concern and concurrently supplement some more items to fully represent the factors.  
In short, the results demonstrate the appropriateness of initially proposed model and hypotheses, the model is fit  
with the quantitative data. Overall, Academic integration and Social integration positively affect Goal and  
Institutional commitment. Besides, Career outcome expectation, Goal and Institutional, and Social and Cultural  
capital directly influence students’ Intention to persist.  
References  
[1] ACT (2011). ACT Institutional Data File, 2011. Retrieved from http://www.act.org/.  
[2] ACT (2004). ACT Policy Report 2004. Retrieved from http://www.act.org/.  
[3] Alliance for Excellent Education. (2003e, November). FactSheet: The impact of education on: The  
economy. Washington, DC: Author.  
[4] Annette, H. (2007). Seeing the Light: Cultural and Social Capital Productions in an Inter-city High School.  
The High School Journal, 90, 3, p. 9-18.  
[5] Arnold, J. (Ed.). (1999). Affect in language learning. Ernst Klett Sprachen.  
[6] Atkinson, J. W. (1977). Motivation for achievement. In T. Blass (ed.), Personality Variables in Social  
Behavior, pp. 25-108. Hillsdale, NJ: Erlbaum.  
[7] Braxton, J. M. (Ed.). (2000). Reworking the student departure puzzle. Vanderbilt University Press.  
[8] BBC News (2008, January 19). £800m 'not cutting drop-out rate. Retrieved from  
[9] Bean, J. P. (1980). Dropouts and turnover: The synthesis and test of a causal model of student attrition.  
Research in Higher Education, 12(2), 155-187.  
[10]Beil, C., Reisen, C. A., & Zea, M. C. (1999). A longitudinal study of the effects of academic and social  
integration and commitment on retention. NASPA Journal, 37(1), 376-385.  
[11]Berger, J. B. (2000). Optimizing capital, social reproduction, and undergraduate persistence. In J. M.  
Braxton (Ed.), Reworking the student departure puzzle (pp. 95-124). Nashville, TN: Vanderbilt University  
Press.  
[12]Betz, N. E. & Voyten, K. K. (1997). Efficacy and outcome expectations influence career exploration and  
decidedness. The Career Development Quarterly; Dec 1997; 46, 2;  
[13]Bourdieu, P. (1986). The forms of capital. In J. G. Richardson (Ed), Handbook of theory and research for  
the sociology of education (pp. 241-258). New York: Greenwood.  
[14]Bourdieu, P., & Passeron, J. C. (1977). Reproduction in education, society, and culture. Beverly Hills, CA:  
Sage.  
[15]Bialosky et al. (2010). Individual Expectation: An Overlooked, but Pertinent, Factor in the Treatment of  
Individuals Experiencing Musculoskeletal Pain. PhysTher. 2010;90:1345–1355.  
[16]Cabrera, A. F., Nora, A., & Castaneda, M. B. (1993). College persistence: Structural equations modeling test  
of an integrated model of student retention. The journal of higher education, 64(2), 123-139.  
[17]Campion, M. A., & Lord, R. G. (1982). A control systems conceptualization of the goal-setting and  
changing process. Organizational behavior and human performance, 30(2), 265-287.  
327  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
[18]Carol, A. L. (2007). Student Involvement and Institutional Commitment to Diversity as Predictors of Native  
American Student Learning. Journal of College Student Development; 48, 4, pp. 405-418.  
[19]Concannon, J. P. & Barrow, L. H. (2010) Men's and Women's Intentions to Persist in Undergraduate  
Engineering Degree Programs. Journal of Science Education and Technology, Vol. 19, No. 2, pp. 133-145.  
[20]Conner, D. R. (1992). Managing at the speed of change: How resilient managers succeed and prosper  
where others fail. New York: Villard Books.  
[21]Chang, M. (1999). Does racial diversity matter? The educational impact of racially diverse undergraduate  
population. Journal of College Student Development, 40, 377–395.  
[22]Chronicle of Higher Education-Almanac. (2011). Washington, D.C.  
[23]Dobbins, J. W. (2000). Business student satisfaction in terms of academic and social integration and the  
relationship of these variables to institutional and goal commitment: A marketing perspective. (Doctoral  
dissertation). Retrieved from ProQuest Dissertations & Theses Global.  
[24]Donovan, J. J. & Radosevich, D. J. (1998). The Moderating Role of Goal Commitment on the Goal  
Difficulty-Performance Relationship: A Meta-Analytic Review and Critical Reanalysis. Journal of Applied  
Psychology, Vol. 83, No. 2, 308-315.  
[25] Feldt, R. C. & Woelfel, C. (2009). Five-Factor Personality Domains, Self-Efficacy, Career-Outcome  
Expectation. College Student Journal; Jun 2009; 43, 2;  
[26]Fouad, N. A., & Guillen, A. (2006). Outcome expectations: Looking to the past and potential future. Journal  
of Career Assessment, 14(1), 130-142.  
[27]Fowler, M., & Luna, G. (2009). High school and college partnerships: Credit-based transition programs.  
American Secondary Education, 38(1), 62-76. doi: 1898877321.  
[28]Friedman, T.H. (2005). The world is flat. New York: Farrar, Straus and Giroux.  
[29]Gardner, S. 2008. Fitting the mold of graduate school: A qualitative study of socialization in doctoral  
education. Innovative Higher Education 33(2): 125-138.  
[30] Hau, N. (2013 April 23). Nhiꢀu lí do khiến sinh viên bỏ học giữa chừng. Retrieved from  
[31]Hardre, P. L. & Reeve, J. (2003). A Motivational Model of Rural Students’ Intentions to Persist in, Versus  
Drop Out of, High School. Journal of Educational Psychology Vol. 95(2), pp. 347–356.  
[32]Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate Data Analysis, (5th  
Edition). Upper Saddle River, NJ: Prentice Hall.  
[33]Hair, J. F. (2010). Multivariate data analysis: a global perspective. Upper Saddle River, N.J: Pearson  
Education.  
[34]Hanover Research (2010), Academic administration practice: Overview of Student Retention Theories,  
Strategies, and Practices at Peer Institutions. Retrieved from www.hanoverresearch.com.  
[35]Hatcher, L. (1994). A step-by-step approach to using the SAS System for factor analysis and structural  
equation modeling. Cary, NC: SAS Institute Inc.  
[36]Herald, T. S. M. (2009, 18 Jan 2010). Nearly 20% of university students don't last full year Retrieved from  
[37]Hollenbeck, J., Williams, C., & Klein, H. (1989). An empirical examination of antecedents of commitment  
to difficult goals. Journal of Applied Psychology, 74, 18—23.  
[38]Hoyt, J. (1998). Factors Affecting Student Retention At UVSC. Department of Institutional Research &  
Management Studies.  
[39]Jantrasakul, P. (2010). Bridging the Gap: Understanding Cultural Capital in EFL Classes. International  
Forum of Teaching and Studies, Vol 6(1)  
[40]Jones, W. A. (2010). The Impact of Social Integration on Subsequent Institutional Commitment Conditional  
on Gender. Res High Educ (2010) 51:687–700 DOI 10.1007/s11162-010-9172-5.  
[41]Jones, W. A. (2011). Variation among academic disciplines: An update on analytical frameworks and  
328  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
research. Journal of the Professoriate, 6(1), 9-27.  
[42]Kuh, G. D. & Love, P. G. (2000). A cultural perspective on student departure. In J. M. Braxton (Ed.),  
Reworking the student departure puzzle. Nashville, TN: Vanderbilt University Press.  
[43]Libby, A. K. (2006). The Impact of Academic Integration and Social Integration on One-year Retention and  
Six-year Retention for First-time Postsecondary Students Entering Four-year and Two-year Public Higher  
Education Institutions in the United States of America. ProQuest.  
[44]Liegler, R. (1997). Predicting student satisfaction in baccalaureate nursing programs: Testing a causal  
model. Journal of Nursing Education, 36, 357-364.  
[45]Longden, B. (2004). Interpreting student early departure from higher education through the lens of cultural  
capital. Tertiary Education and Management, 10(2), 121-138.  
[46]Locke, E. A. (1968). Towards a theory of task motivation and incentives. Organizational behavior and  
Human Performance, 3, 157-189.  
[47]Lovitts, B. E. (1996). Who Is Responsible for Graduate Student Attrition--The Individual or the Institution?  
Toward an Explanation of the High and Persistent Rate of Attrition.  
[48]Lent, R. W., Brown, S. D., & Hackett, G. (1994). Towards a unifying social cognitive theory of career and  
academic interest, choice, and performance. Journal of Vocational Behavior, 45, 79 122.  
doi:10.1006/jvbe.1994.1027.  
[49]Mbura, J. M. (2011). An Examination of Student Retention and Student Success in High School, College,  
and University. Journal of Higher Education Theory and Practice vol. 11(4).  
[50]Mowday, R. T., Steers, R. M., & Porter, L. W. (1979). The measurement of organizational commitment.  
Journal of vocational behavior, 14(2), 224-247.  
[51]Naskrent, J. & Siebelt, S. (2011). The Influence of Commitment, Trust, Satisfaction, and Involvement on  
Donor Retention. Voluntas (2011) 22:757–778. DOI 10.1007/s11266-010 9177-x.  
[52]Nora, A., & Cabrera, A. F. (1993). The construct validity of institutional commitment: A confirmatory  
factor analysis. Research in Higher Education, 34(2), 243-262.  
[53]Nora, A., Kraemer, B., & Itzen, R. (1997, November). Persistence among non-traditional Hispanic college  
students: A causal model. In annual meeting of the Association for the Study of Higher Education,  
Albuquerque, New Mexico.  
[54]Pascarella, E. T., & Terenzini, P. T. (1983). Predicting voluntary freshman year persistence/ withdrawal  
behavior in a residential university: A path analytic validation of Tinto’s model. Journal of Educational  
Psychology, 75, 215-226.  
[55]Pascarella, E. T & Terenzini, P. T. (2005). How college affects students: Volume 2 ‐ A third decade of  
research. San Francisco, CA: Jossey‐Bass.  
[56]Peterson, D. B. (1993, April). Measuring change: A psychometric approach to evaluating individual  
coaching outcomes. In annual conference of the Society for Industrial and Organizational Psychology, San  
Francisco, CA.  
[57]Reason, R. D. (2009). An examination of persistence research through the lens of a comprehensive  
conceptual framework. Journal of College Student Development 50(6), 659-682.  
[58]Robinson, L. (1969). Relation of student persistence in college to satisfaction with environmental factor.  
The Journal of Educational Research, 63 (1), 6- 10.  
[59]Sandler, M. E. (2000). Career decision-making self-efficacy, perceived stress, and an integrated model of  
student persistence: A structural model of finances, attitudes, behavior and career development. Research in  
Higher Education, 41(5), 537-580  
[60]Seidman, A. (2005). College student retention: Formula for student success. Westport, CT: Praeger.  
[61]Strauss, L. C. (2001). Predictors of Institutional Commitment at Two-Year and Four-Year Institution  
(Doctoral dissertation). Retrieved from ProQuest Dissertations & Theses Global.  
[62] Thanh, T. (2010 November 11). Retrieved from http://nld.com.vn/giao-duc-khoa-hoc/sinh-vien bo-hoc-giua-chung-con-  
329  
Nguyen Tran Cam Linh, Nguyen Phuong Tam/ MICA 2018 Proceedings  
[63]Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. (2nd ed.). Chicago:  
University of Chicago Press.  
[64]Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of  
Educational Research, 45, 89-125.  
[65]Tinto, V. (1987). Leaving college: Rethinking the causes and cures of student attrition. University of  
Chicago Press, 5801 S. Ellis Avenue, Chicago, IL 60637.  
[66]Tilghman, C (2012) National Graduation Goals and Adult Student Retention. College and University,  
Vol.88(1), pp. 47-52.  
[67]Wells, R. (2008). The Effects of Social and Cultural Capital on Student Persistence. Community College  
Review, Vol. 36(1) 25 -46.  
[68]Wells, R. (2009). Social And Cultural Capital, Race And Ethnicity, And College Student Retention. J.  
College Student Retention, Vol. 10(2) 103-128.  
[69]Yong, A. et al., 2013. Clinical Integration and How It Affects Student Retention in Undergraduate Athletic  
Training Programs. Journal of Athletic Training 2013;48(1):68–78.  
[70]Yorke, M & Longden, B. (2004). Retention and Student Success in Higher Education. Quality Assurance in  
Education, Vol.13(1), pp.83-84. Doi 10.1108/09684880510578678.  
[71]Zea, M. C., Reisen, C. A., Beil, C., & Caplan, R. C. (1997). Predicting intention to remain in college  
among ethnic minority and non-minority students. Journal of Social Psychology, 137, 149-160.  
330  
pdf 14 trang Thùy Anh 12121 Free
Bạn đang xem tài liệu "Will I stay or will I go? an empirical study of students’ intention to persist", để tải tài liệu gốc về máy hãy click vào nút Download ở trên

File đính kèm:

  • pdfwill_i_stay_or_will_i_go_an_empirical_study_of_students_inte.pdf