Factors affecting the intention to choose university of high school students in Vietnam

Nguyen Thi Kim Chi, Pham Thi Huyen/ MICA 2018 Proceedings  
International Conference on Marketing in the Connected Age (MICA-2018), October 6th, 2018  
Danang City, Vietnam  
Factors Affecting the Intention to Choose University of High  
School Students in Vietnam  
Nguyen Thi Kim Chia*, Pham Thi Huyenb  
aHa Noi University of Bussiness and Techonology, Vietnam  
bNational Economics University, Hanoi, Vietnam  
A B S T R A C T  
The research applies rational behavior theory and adds factors which are relevant to the context of higher  
education in Vietnam to re-test the hypotheses and identify factor affecting the intention of choosing a  
university for high school students. The results show that four factors that influence most to the purpose of  
high school students’ choice are in the order of (1) university reputation (2) perceptions of the program, (3)  
perceptions of costs, (4) subjective norm. Based on the results of the study, the author proposes some  
recommendations for policymakers and university managers in Vietnam to improve their competitiveness in  
enrollment as well as implement effective recruitment solutions to attract high school students.  
Keywords: Intention; university decision; high school; student  
1.  
Introduction  
In the context of globalization and extensive international integration, education and training in general  
and Vietnam higher education, in particular, must be comprehensive. The most noticeable change is that  
higher education has shifted towards popularization, reducing the role of governments, and moving gradually  
toward autonomy. The universities have been given strong independence, in which the universities have been  
active and creative in selecting and attracting qualified candidates who have aspirations for study and research  
at university; at the same time, have implemented publicity and transparency of the conditions to ensure the  
quality of enrollment and have been accountable to the society (especially parents and students).  
Actually, in recent years, the universities have faced a series of difficulties. Firstly, the change in the  
"enrollment market," when the supply side is the universities established massively, the demand side is high  
school students dropped because of many more attractive other choices such as studying abroad, having a job,  
apprenticeship... Thus, enrollment pressure may have shifted from candidate to university. Secondly, the  
universities want to attract high-school students who have capacity and love of the chosen field of study,  
while high school students choose the university according to their feelings, lack of understanding of selected  
professions leads to discouragement and waste during the training. Thirdly, although the universities have  
focused more resources on communication campaigns to provide potential students with the necessary  
information and improve their position in society. But not all efforts to spread the message to attract students  
of the universities have been deployed in the right direction and effectively.  
To address these challenges, each university needs to define its role and mission and has solutions to  
improve its enrollment strategy. A university without students will hardly exist, attracting good students will  
be the foundation for long-term development. So, the critical issue must be to identify who your potential  
* Corresponding author. E-mail address: [email protected]  
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students are, what they want, what factors affect their decision to choose a university. Among the elements,  
which element plays an important role and which factor is less critical? How do those factors affect? Enrollment  
competition is the story of all universities, from prestigious universities to fledgling ones that are difficult to  
enroll. Exploring these issues will be the basis for universities to adjust and supplement the rational solutions,  
to focus resources on deploying recruitment solutions that have a direct, productive and positive impact on the  
main factors having a positive influence on the students’ choice of university and attracting them to enroll in  
university. From this practice, the author recognizes the need for in-depth studies around the topic on the  
choice of universities of high school students in Vietnam.  
In theory, according to the author's limited statistics, the decision to choose a university has been  
approached by foreign and domestic authors from different perspectives from marketing, socio-economic,  
economic and sociological perspectives. The view is quite rich and multi-dimensional from the objects such as  
high school students - potential students, students, parents to the university. Chapman (1981), Kotler & Fox  
(1995), Joseph and Joseph (1998, 2000), Karl Wagner and et al (2009), Joseph Kee Ming Sia (2013)... are  
authors presenting the approach from high school students. The research is more or less based on the theory of  
choice, the customers’ behavior of choice. The results of this study have clarified the key factors influencing the  
choice of university, including the perception of costs, perception of the program, perceptions of facilities and  
resources, the reputation of the university, others’ advice, information that students receive from the university.  
These studies are approached based on behavioral intention theory, from the perspective of "consumers" as high  
school students, but these empirical studies are mainly about applying theoretical models to the realities and  
verifying the results, without specific and scientific arguments of using and adapting the conceptual model of  
behavioral intention in the context of research.  
In Vietnam, researches on the intention to choose a university are limited. Some studies by Tran Van Qui and  
Cao Hao Thi (2009), Nguyen Minh Ha and partner (2011), Mai Thi Ngoc Dao and Anthony Thorpe (2015), Do  
Thi Hong Lien and partner are just in the form of articles, scientific research papers, dissertations of bachelor  
and masters. Most research is directed at high school students in Viet Nam. Studies of behavioral intention and  
impact factors are topics of interest to many researchers in the field of economics. The reviews are conducted in  
a variety of areas with many different administrative implications. The results are diverse and highly dependent  
on the research context (field of study, research area ...). Agreeing with this point of view, the author concludes  
that the results of previous studies in Vietnam have more or less changed in the context of new enrollment  
policy. The decision of choosing a university for high school students is relatively new in the context of  
Vietnam.  
Based on the above reasons, the author selects the topic of “Factors affecting the intention to choose  
university of high school students in Viet Nam”.  
2.  
Literature review  
2.1. TRA Model  
In this study, the author uses the definition of Fishbein and Ajzen in 1975, which defines that "The intention  
to choose is the plan or ability of the high school students to perform the selective behavior in the university in a  
certain context."  
The theory of reasoned action (TRA) is one of the three classic models of persuasion. The method is also  
used in communication discourse as a theory of understanding. The method of reasoned action was developed by  
Martin Fishbein and Icek Ajzen in 1967 and was derived from previous research that began with the way of  
attitude. The approach aims to explain the relationship between attitudes and behaviors within human activity.  
TRA is used to predict how individuals will behave based on their pre-existing beliefs and behavioral intentions.  
The authors argue that behavioral plan is the driving force behind behaviors and intentions determined by  
individual attitudes toward behavior and the impact of subjective norms on the conduct of such actions. In it, the  
view is a positive or negative feeling of the individual about performing a specific behavior. The subjective norm  
is the perception of the person showing that leads to a particular action. The subjective standard is the human  
perception of how to behave by the requirements of the society. This is an individual's belief in how others will  
think about their actions. It represents an individual's self-awareness that those critical to their decision-making  
desire to perform or fail to achieve a particular behavior.  
In the field of higher education, the application of the TRA models to research the intention to choose a  
university of potential students is insufficient, especially in the context of Vietnam. In this study, the author  
wishes to use the rational behavioral theory (TRA) as a theoretical basis and to test a part of the conceptual  
framework within the context of higher education in Vietnam.  
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2.2. Overview of research on intention to choose a university  
Currently, research on student’s behavioral plan to select a university, in general, is in different directions.  
But, the author summarizes the four main approaches, including a proposal from an economic point of view, a  
plan from a sociological perspective, an integrated approach, a marketing approach. With the marketing  
approach, the surveyed subjects are mainly 12 - grade students, high school students, and university students. It  
can be concluded as follows: Firstly, most studies use and apply behavioral theory (especially TRA model)  
many empirical studies have succeeded in separating and neglecting the mediating relationship of the root  
element of the rational behavioral model to the dimension factors (Chapman, 1981; Joshep and Joshep, 1998,  
2000; Karl Wagner et al., 2009; Joshep Ming Sia, 2013). Secondly, the results of these studies show that  
considering the perspective of high school students, many factors affect their decision to choose a university.  
However, studies in Vietnam do not have systematic theoretical research, which refers to a clear conceptual  
framework and does not explicitly apply the behavioral theoretical model to the study of this problem. Thirdly,  
studies tend to use quantitative methods and consider this a superior manner, an excellent way to collect data.  
However, not much research in Vietnam can use quantitative methods, especially using the SEM model.  
The TRA theory is widely used by researchers and in different contexts to predict customer behavior. The  
research findings are often specific to the context of the case study. The high school students’ intention to choose a  
university is also a situation where it is possible to apply the TRA theory. These factors can be divided into two  
groups. First, Attitudes forward behavior will include Perceptions of costs, Perceptions of the program, Perceptions  
of facilities and resources, University Reputation, Information that students receive from the university. Secondly,  
Norms includes Subjective norms and Others’ advice.  
2.3. Factors affecting the intention to choose university  
Perceptions of costs  
Costs include various aspects related to expenses such as tuition, scholarships, grants, living expenses of  
students during the school year. Perceptions of the costs to the intention to choose the university are in favor of  
the direction. However, the degree of influence is not quite the same. Joshep and Joshep (1998, 2000) concluded  
that cost perception is the third influential factor in high school students' decision-making in New Zealand  
(1998) and Indonesia (2000). Karl Wagner (2009) and Joseph Sia Kee Ming (2011) conducted that the cost  
perception is the most active and most influential factor in the choice of university for Malaysian high school  
students. The study by Mai Thi Ngoc Dao and Anthony Thorpe (2015) also argues that cost perception is the  
third strongest factor influencing the choice of university for high school students in Vietnam. Thus, the  
perception of costs is an important variable influencing the choice of university for high school students. In the  
context of Vietnam, the authors hypothesizes that:  
H1: The higher perception of cost that students have to pay for a particular university, the more likely she/ he  
will choose that university  
Perceptions of the program  
The curriculum is a vital issue for the university, as well as high school students who are interested in  
choosing a college or university. Krampt and Heinlein (1981) suggested that high school students tend to  
compare different learning programs to the best study program. Joshep and Joshep (1998, 2000) concluded that  
with high school students, the feel of the curriculum is the second and fourth most important factor in their  
decision to choose a university in New Zealand and Indonesia. Karl Wagner et al. (2009) also agreed that the feel  
of the curriculum was an essential factor that ranked the third and had a positive impact on the choice of  
university for high school students in Malaysia. In 2011, Joseph Kee Ming Sia conducted a study in Malaysia  
and ranked Perceptions of the program as the most influential factor (Mean = 3.79) and positively influenced the  
high school students' intention to choose the university. Consistent with the views of the previous authors  
mentioned above, the author argues that high school students' perception of the curriculum is important and a  
positive impact on the student's choice of university. Thus, the authors hypothesizes that:  
H2: The more positive the perception of the program of a high school student about a university, the higher  
his or her intention to choose this university and vice versa.  
Perceptions of facilities and resources  
Facilities and resources include all elements such as facilities, location, extracurricular activities, the  
environment, and lectures to support the operations. Joshep and Joshep (1998,2000) identified that the  
environmental and resource sensitivities are essential factors in secondary and tertiary determinants of university  
choice of high school students in Indonesia and New Zealand. Another study conducted in Malaysia by Karl  
Wagner et al. (2009) pointed out that there exists the positive relationship between perceptions of facilities and  
resources and the intention of selecting university of high school students. In 2012, Koe and Sarings concluded  
that the facilities perceptions was essential and influenced by the college's intention to choose university of high  
school students.  
In Vietnam, Mai Thi Ngoc Dao and Anthony Thorpe (2015) found that perception of facilities and resources  
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was the most critical factor (Mean = 3,823) of high school students in selecting a university. Based on previous  
research findings, the author argued that in the current context of Vietnam. Thus, we asummed that  
H3: Perceptions of facilities and resources has a positive influence on intention to choose a university of high  
school students and vice versa  
University Reputation  
When discussing the relationship between university reputation and the choice of university for high school  
students, some scholars argue that status is not essential (Foskett, 1999). However, most researchers believe that  
university fame plays an important role when they perceive and evaluate the reputation of the school while  
making decisions (Murphy, 1981). The study by Joseph and Joseph (1998, 2000) in New Zealand and Indonesia  
concludes that university reputation is a significant factor affecting the choice of university for high school  
students (ranking respectively first and second). Karl Wagner et al (2009) further concluded that for high school  
students in Malaysia, university reputation had a positive impact on the choice of university, meaning that  
students will prefer universities with an excellent reputation for studying. By agreeing with Joshep and Joshep  
(1998, 2000) and Karl Wagner et al (2009), the author argues that in Viet Nam, according to the annual record,  
high school students see the reputation of the university as a significant factor and them proud to be enrolled at a  
prestigious university. Universities have better reputation attract more students.  
As discussed above, previous studies have shown conflicting results on the impact of university reputation on  
predicting university choice for high school students. Thus, the potential for regulatory modification has not  
been taken into account in previous studies. Observing the way universities are selected each year in Vietnam  
shows that students are more likely to choose universities with a clear academic record. High school students  
have good academic performance; high school entrance exam results are often intended to select prestigious  
universities. Therefore, the author hypothesized that academic record would be a modifying factor in the  
relationship between university reputation and the choice of high school students.  
H4: University reputation has a positive influence on intention to choose a university of high school students  
Information that students receive from the university  
During the selection process, students often search and evaluate the data collected to minimize the risk of  
making a decision. Although there are many sources of information affecting students, information provided by  
universities is still more important (James et al., 1999), especially information on courses and information about  
career prospects (Soutar and Turner, 2002). In the study by Joshep and Joshep (2000), the information received  
from the university is the strongest determinants of the university choice for high school students in Indonesia.  
Karl Wagner et al. (2009) concurred that this factor positively influenced university decision-making of high  
school students in Malaysia, but this was the least important factor among the elements. In the context of the  
information explosion and the school's efforts to provide information on admissions to students, the author  
believes that the information the school offers to students has a substantial impact on the student's intentions of  
choosing their universities.  
H5: Information that students receive from the university has a positive influence on intention to choose a  
university of high school student  
Others' advice  
In the study by Karl Wagner et al (2009) and Koe and Sarings (2012), it was concluded that influential  
individuals (parents, siblings, friends, etc.) did not have the positive impact on the university decision making of  
high school students. However, many researchers find that parents play an important role in determining the  
choice of a student's university. Manski & Wise (1983) argue that the choice of peers is strongly influenced.  
Joshep and Joshep (1998, 2000) both point that the advice of others (parents, friends, siblings) significantly  
influenced the high school students' intention to select a university. In Vietnam, the author also found the  
evidence from the researches of Tran Van Qui and Cao Hao Thi (2009), Nguyen Minh Ha et al (2011), and the  
study of Mai Thi Ngoc Dao and Anthony Thorpe (2015) which concluded that advice of others has positive  
impact on the choice of university for high school students. The authors argue that the decision to choose a  
university is essential for every student as well as for their family. Therefore, the advice of others will motivate  
students to select a particular university.  
H6: Others' advice (parents, friends, classmates...) has a positive impact on intention to choose a university of high  
school students.  
Subjective norms  
The subjective norms have been shown to be the factor that affects the behavioral intentions of university  
selecting for high school students (Ajzen, 1991). Previous studies have concluded that there are conflicting  
results between subjective norms and intentions of university deciding because the research subjects are  
different, there are limitations on time and studied. In this study, the author argues that those around them  
influence the decision to choose a university, but the "penetration" of ideas/advice and the formation of their  
choice seemingly different. When high school students decide to choose a college, they will also be interested in  
how other people's feelings. In this study, the impact of subjective norms on the choice of high school students  
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should be assessed.  
In summary, by domestic and international research review, based on rational behavior theory and an analysis  
of Joseph and Joseph (1998, 2000), Karl Wagner et al. 2009, Joseph Kee Ming Sia (2011), as well as from the  
context of higher education in Vietnam, which has many similarities with Indonesia and Malaysia, the authors  
inherit previous studies to propose a model of research with 7 independent variables such as perceptions of costs,  
perceptions of the program, perceptions of facilities and resources, university reputation, subjective norms,  
information received from the university, and others' advice.  
H7: Subjective norm has a positive impact on intention to choose a university of high school students.  
A proposed model and measurement scale  
Perceptions of costs  
Perceptions of the program  
Perceptions of facilities and resources  
University Reputation  
Intention  
to choose  
a
university  
Information that students receive from the  
university  
Others' advice  
Subjective norms  
Fig. 1. Study model  
Table 1: Measurement scale  
Items  
Code  
CCHP1  
Reasonable tuition policy  
Suitable cost of living  
Financial aid policies (scholarships, grants, concessional loans ...)  
Flexible tuition collection (tuition fees ...)  
Perceptions of costs  
Joshep Kee  
Ming Sia  
(2013)  
CCHP2  
CCHP3  
CCHP4  
Courses/subjects with diversity of contents and structure for students’ choice  
Has flexible entry requirements  
Has specialised programmes of study available  
University has practical components in degree programme  
Flexible conditions for registering a study program/subject  
Has a range of degree  
CCH1  
CCH2  
CCH3  
CCH4  
CCH5  
CCH6  
CCH7  
Joshep Kee  
Ming Sia  
(2013)  
Has the availability programme of required degree  
Perceptions of the program  
Ideal location  
CSVC1  
Joseph and  
Joseph  
(1998,  
Environment conductive to learning for student  
Superb recreation and other faculities  
Good social life on campus  
Necessary resources avaiable  
Clean and safe environment  
CSVC2  
CSVC3  
CSVC4  
CSVC5  
CSVC6  
CSVC7  
2000).  
Good faculty  
Perceptions of facilities and resources  
Institutions with academic reputation  
Institutions with prestige training programs  
DT1  
DT2  
DT3  
Joseph and  
Joseph  
(1998,2000)  
Institutions with accredited academic programs/ highly-valued academic merit  
University Reputation  
Institutions with information on career opportunities  
Institutions with information on the student's study/research field  
Institutions with information on post graduate or higher education courses  
Information that students receive from the university  
Advice from parents  
TTT1  
TTT2  
TTT3  
Karl Wagner  
et al (2009  
CNAH1  
Karld  
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Advice from peers  
Advice from classmate  
Advice from alumnis  
Advice from high school teachers  
Advice from admission counselor  
CNAH2  
CNAH3  
CNAH4  
CNAH5  
CNAH6  
CNAH7  
Wagner et al  
(2009) and  
Joseph Kee  
Ming Sia  
(2011)  
Advice from student who have been studying in university  
Advice’s others  
Most people who are important to me think that it is a good university to choose  
Most of people who I refer, support me to choose university X  
Subjective norm  
CCQ1  
CCQ2  
Pavlou and  
Fygenson  
(2006)  
I plan to study in university X in near future  
I intent to choose university X to study  
University X is my choice  
QD1  
QD2  
QD3  
Ajzen (1975)  
Intention to choose a university  
Source: Summarized by the author  
3. Methodology  
This research is carried out by a quantitative method, mainly with two steps: a preliminary qualitative study  
of 113 high school students and formal quantitative survey of 361 high school students in Hanoi. The  
questionnaire was completed with three main parts: introduction, statistical information section, and main  
content: including speeches designed according to the model and scales were studied. The scale used for  
measuring the observed variables in the model which is a 5-point Likert scale. For other classifiers such as sex,  
type of field, location ... are measured by nominal or hierarchical scales depending on the nature of the data that  
reflects them.  
This study uses two main quantitative steps, including factor analysis and regression analysis. In this study,  
the authors selected 361 high school students (the good sample size is 300 according to Comrey & Lee, 1992).  
The author uses both an online form and a live ticket in the way of a snowball with 500 votes. As a result, 361  
valid questionnaires were used for formal analysis. The sample description is as follows:  
In term of sex: Among the 361 students surveyed, the proportion of males and females was quite balanced  
with 53% females (191 respondents) and 47% males (170 respondents).  
In term of academic strength: The highest proportion of students with excellent academic qualifications is  
58%, with 208 students, good students are followed, by 32% (114 students), average students are 9%, and weak  
students consist of 1 percent (Figure 4.4).  
Classification of schools by region: Results show that 52% of attended students come from inner city schools  
(186 pupils) and 48% of pupils in suburban schools (175 pupils).  
Classification according to the method of application: The enrollment rate for a university with entrance  
exams is 84 percent, five times higher than that of enrollment with academic records, only 16 percent.  
Regarding the reason for choosing a college to study: The average score is 3.9, mainly because of the "hot"  
majors (4.51), the high possibility of applying for a job after graduation (4.34), high ability to pass (4.26), proud  
of living in that school (3.94), and the less important reason is the near distance from home (3.91).  
4.  
Research results  
4.1.  
Assess the reliability of the scales by the Cronbach's Alpha coefficient  
The reliability of the preliminary quantitative study was evaluated by the Cronbach Alpha coefficients which  
are greater than 0.7 and the correlation coefficients which are greater than 0.3. The results of the observed  
variables are as follows:  
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Table 2: Summarizing the observation variables which was excluded from the preliminary quantitative study  
results  
Number of  
observations  
Variables  
Observed variables discarded  
Perceptions of costs  
4
7
7
3
No  
Perceptions of the program  
Perceptions of facilities and resources  
University Reputation  
CCH6, CCH7  
CSVC3, CSVC6  
No  
Information that students receive from the university  
Others' advice  
Subjective norm  
3
7
2
3
No  
CNAH6 and CNAH7  
No  
No  
The decision to choose a university  
Source: Summarized by the author  
The results from the reliability tests of the scales have a variable correlation coefficient - the sum of observed  
variables with scales is relatively high, which is higher than 0.4. This shows that the observed variables correlate  
reasonably well with the overall scale. The Cronbach's alpha coefficients are over 0.7, so the official survey scale  
ensures the reliability. No observation variable is removed to increase the reliability of the scale. Therefore, all  
the scales are highly reliable, which satisfies the condition for further analyzes.  
Table 3: Observation variables which were excluded from the testing results  
Items  
Code  
Cronbach alpha  
0.859  
Perceptions of costs  
Perceptions of the program  
CCHP1,CCHP2,CCHP3  
CCH1,CCH2,CCH3,CCH4,CCH5  
0.797  
Perceptions of facilities and resources CSVC1,CSVC2,CSVC4, CSVC5, CSVC7  
0.708  
University reputation  
DT1,DT2,DT3  
TT1,TT2,TT3  
0.856  
0.829  
Information that students receive  
from the university  
Others' advice  
CNAH,CNAH2,CNAH3, CNAH4, CNAH5 0.873  
Subjective norm  
CCQ1,CCQ2  
0.814  
Intention to choose a university  
QD1,QD2  
0.873  
Source: Summarized by the author  
4.2. Analyzing the EFA  
4.2.1. Analyzing the EFA independent variable  
The results of analyzing factor discovery with independent variables in the model after the exclusion of the  
observation variables with small factor loadings showed that the results were quite good, analyzing factor  
discovery using with research data is appropriate. In which the KMO coefficient = 0.888, the Bartlett test is  
statistically significant at 5%, the total of explained variance is greater than 50% (67,380%), the coefficient of  
factor loading is greater than 0.5. Observational variables form the seven main factors as theoretical models.  
4.2.2. Analyzing the EFA dependent variable  
For dependent variables, the results of factor analysis with three observation variables were converged on one  
factor, with the test coefficient KMO = 0.742, Sig = 0.000, variance reaching 79,92%, this shows the  
convergence and good performances of the observation variables in the scale.  
4.3. Confirmatory factor analysis (CFA)  
From the results of the CFA analysis with the critical model, the author compiles the analysis coefficients in  
the table 3. After CFA analysis shows that the components of the scale have convergence values, discriminative  
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values and meets the requirements of value as well as reliability. Finally, 07 independent variables are  
perceptions of costs, perceptions of the program, perceptions of facilities and resources, information students  
receive from the university, university reputation, subjective norm, others’ advice, and 01 dependent variables of  
intention to choose a university are accepted.  
Table 4: Summary of CFA model coefficients of the scale  
Model of the decision of choosing a university  
Synthetic  
reliability  
0.795  
Total of  
variance  
50%  
Variables  
Perceptions of costs  
Targets  
Chi-square/df = 2.131  
CFI = 0.929  
TLI = 0.917  
IFI = 0.930  
RMSEA = 0.056  
Perceptions of the program  
Perceptions of facilities and resources  
University Reputation  
Others' advice  
Information that students receive from the  
university  
0.863  
0.880  
0.709  
0.813  
56%  
71%  
45%  
47%  
0.859  
0.838  
0.874  
67%  
72%  
70%  
Subjective norm  
The decision to choose a university  
Source: Analysis results with the support of AMOS software  
4.4. Analysis results by SEM and hypotheses testing  
4.4.1. Testing TRA model  
The results of the structural equation modeling analysis after adjusting some possible correlations between  
the observed variables show that the value of Chi-sql/df is 2,131, less than 3, CFI = 0.929, TLI = 0.917, IFI =  
0.930 that are greater than 0.9, RMSEA = 0.056 that is less than 0.08 (Figure 3). Therefore, the model is  
compatible with the actual data.  
Fig. 3. SEM model analysis (standardized)  
Source: Analysis results with the support of AMOS software  
The impact level of the factors affecting student's choice is also different. The most influential factor is  
"university reputation" (standardized β = 0.271), followed by the "program perception" (standardized β = 0.152),  
then is the factor of " receive " (standardized β = 0.138) and finally is "Subjective norms" (Standardized β =  
0.128).  
4.4.2. Verify the reliability of the model with the Bootstrap method  
To assess the robustness of the model, the author uses the bootstrap analysis with a sample size of 1000. The  
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results show that the estimated mean of the samples generated by the bootstrap is very small (Bias and SE -  
Bias), which shows that the results from the data are reliable and can be used to inference for the population.  
4.4.3. Hypothesis testing results in a theoretical model  
As the results of the theoretical and bootstrap model estimation in the structural equation modeling (SEM)  
presented above, the hypothesized relationships in P-value varied from 0.000 to 0.1 (or 90% level of  
confidence). The results show that the test of the factors affecting the high school students' decision to choose  
universities is highly reliable. This means that the hypotheses H1, H2, H4, H7 are accepted. The remaining  
hypotheses H3, H5, H6 are rejected.  
4.4. Evaluation results were analyzed by a Structural equation modeling (SEM) and test research  
hypotheses  
4.4.1. Theoretical model consolidation  
The results analyzed by using the linear structure model after adjusting some possible correlations between  
the errors of the observation variables in the factors that show: Chi-square/df = 2.131 is smaller than 3, CFI =  
0.929, TLI = 0.917, IFI = 0.930 is greater than 0.9, RMSEA = 0.056 is smaller than0.08. This shows that the  
model is compatible with the actual data (market).  
Fig. 4. SEM model analysis (standardized)  
Source: Author's calculations with the help of AMOS software  
The level of the factors’ influence on the students’ decision of choosing a university is also different. In which, the  
biggest influence belongs to the factor "reputation of the university" (β=0.271), next is the factor "perceptions of the  
program" (β= 0.152), “perceptions of costs” (β= 0.138) and the last is “subjective standards” (β = 0.128).  
4.4.2. Verifying the reliability of the model with the Bootstrap method  
To assess the robustness of this thesis model, the author uses bootstrap analysis with a refundable sample size of  
1000. The results show that the estimated difference of the original sample with the estimated mean of the bootstrap  
models is small (Bias and SE - Bias are tiny), This shows that the results from data analysis are reliable and can be  
used to deduce the whole.  
4.4.3. Hypothesis testing results in a theoretical model  
As the results of the theoretical and bootstrap model estimation in the linear-structure model (SEM) presented  
above, the hypothesized relationships in the theoretical model with the mean of P-value varying from 0.000 to  
0.1 achieves the required level (90% reliability). The results show that the test of the factors’ influence on the  
decision of choosing a university for high-school students is highly reliable. This confirms the original  
hypotheses H1, H2, H4, H7 are accepted. The remaining hypotheses H3, H5, H6 are rejected.  
5. Discussion and recommendations  
379  
Nguyen Thi Kim Chi, Pham Thi Huyen/ MICA 2018 Proceedings  
In this study, the author concerns in seven factors affecting the intention to choose university of high school  
students in Ha Noi, such as perceptions of costs, perceptions of the program, perceptions of facilities and  
resources, university reputation, information that students receive from university, other people's advice, and  
subjective norms. The results show that four factors have a positive impact on the intention to choose university  
of high school students, including the university reputation, perceptions of the program, perceptions of cost, and  
subjective norms, respectively.  
Firstly, university reputation has a positive influence on the choice of high school students, meaning that high  
school students feel that the better university’s reputation, the more they decide to choose that university. The  
university reputation factor has a coefficient of standardized β = 0.271, the most substantial impact on the  
decision of selecting a university. In fact, most high school students tend to favor high-profile universities.  
Nowadays, the reputation of universities is very important, and students place this criterion as a top priority.  
Therefore, universities with a good reputation will attract more students and less subjected to difficult  
enrollment.  
Secondly, perceptions of the program that are positively correlated with high school students' decision to  
choose a university, which means that the perceptions from the university are consistent with students'  
expectations of its training programs. In this study, the perception of the curriculums or training programs was  
the second factor (standardized β = 0.152) which impacts the choice of university for high school students.  
Thirdly, cost perception has a positive influence on the decision to choose a university. This is a factor that is  
ranked in the third order of the effect degree with the value of standardized β = 0.138. This means that students  
feel that the higher the cost of from a university, the more likely they are to choose the university. In fact, given  
the relationship between the customer and the supply chain, high school students tend to prioritize universities  
where they perceive the costs are reasonable and appropriate for their budget.  
Lastly, subjective norms have a positive impact on high school students' decision to choose a university. The  
explanation is as follows: Students in Vietnam are conscious and tend to act according to social norms, and  
people around them. Their relatives or essential people tend to encourage them a lot. High school students often  
make decision mainly depends on the encouragement and suggestions of people around. This decision is not  
only crucial for the students themselves but for the people around them such as grandparents, their parents, their  
siblings too.  
The results of the study also deny the hypotheses concerning the positive relationship between independent  
variables such as the perceptions about the facilities and resources, the information that students receive from the  
university, and the other’s advice and the intention to choose university of high school students. Based on the  
results, the author recommends some solutions to increase the intention in selecting a university of high school  
students, including improving the reputation of the university, the quality of training programs for different  
groups of students; choose appropriate pricing policies, and enhancing the strategies on group of relatives such  
as students' parents, friends that indirectly affects on the choice of high school students.  
This research, however, there are some limitations which are following: Firstly, the study selected only Hanoi  
as the site of the survey, it will suggest more comprehensive results if the sample is widened in more other cities.  
Secondly, the study did not show the difference between the factors affecting the decision of the student before  
and after attending the school, the satisfaction of the student about his choice of school. This study requires a  
significant amount of sequence, time and data, therefore, if there is a chance, the author will conduct further  
research about this objective in the future. Thirdly, past studies have outlined some factors that influence the  
choice of a student. However, this study does not adequately explain the much factors that affect the outcome.  
The researcher's follow-up approach will overcome these limitations.  
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