The impacts of part time jobs on FMT students GPA in hanoi university

Introduction

Population and sample

Students at the Faculty of Management and Tourism at Hanoi University, known for their creativity, dynamism, and strong English skills, often find it easy to secure part-time jobs with competitive salaries However, balancing part-time work with academic responsibilities can impact their GPA To investigate this relationship, we conducted a study involving a randomized sample of 100 students from diverse majors within the department This approach aims to ensure the accuracy of our findings regarding the effects of part-time employment on the academic performance of FMT students.

Questionnaire design

This project analyzes data from an online questionnaire completed by FMT students, incorporating their personal information such as name, class, student ID, and email for statistical reliability The survey consists of seven questions aimed at understanding the perceptions of FMT students regarding the effects of part-time jobs on their academic performance.

The initial four questions in the survey focus on respondents' engagement in part-time jobs, their study time, university GPA, and satisfaction with their academic results The subsequent two questions are pivotal to our research, exploring the benefits of part-time employment, including financial gain, experience, relationship building, and the development of soft skills, alongside the drawbacks such as time wastage, negative impacts on academic performance, and potential dangers Lastly, we aim to gauge participants' awareness and opinions on whether students should pursue part-time jobs, providing them with an opportunity to articulate their reasoning.

TIEU LUAN MOI download : skknchat@gmail.com

The full version of our designed questionnaire will be attached in the appendices at the end of this paper.

Sample size

For this project, we selected all FMT students at Hanoi University as our target population However, the large scale of this population, combined with limited human resources and a short timeframe, presents significant challenges for completing this assignment Consequently, our team reached a consensus on the appropriate sample size to ensure effective data collection and analysis.

100 students who can represent all FMT students.

Sampling method and data collection

To gather data for this project, we developed an online questionnaire distributed to 100 randomly selected students from various departments within the Faculty of Management and Tourism Given the large population of nearly three thousand students, employing a sampling method is the most effective approach for analyzing our statistics.

This sampling method offers both advantages and disadvantages On the positive side, it is less time-consuming, particularly in online surveys, and provides a broad scope with high data accuracy However, a significant drawback lies in the challenge of selecting a truly representative sample, as participants are chosen randomly, which can be problematic given the complexity of the phenomena being studied Despite these challenges, this sampling method remains the most effective means for participants to freely express their evaluations of the impact of part-time jobs on their academic performance.

We utilized Google Forms to create our questionnaire, which was subsequently shared in the official Hanu student group on Facebook and within various small class groups of our members.

Without collecting data through offline, we use results of 100 students doing online randomly, considered as our sample size. c, Data processing:

Once the data was prepared for analysis, we utilized Microsoft Excel to process it, inputting and calculating the information to generate a comprehensive table of overall survey results Additionally, we employed R Studio to conduct hypothesis testing and further data analysis The data was categorized into two types: qualitative and quantitative.

To analyze qualitative data from questions 5 and 6, we utilized Excel to simplify the calculation of percentages and frequencies Moreover, Excel facilitated the creation of descriptive graphs to effectively illustrate the results.

For quantitative data, which is the results of the five questions: 1, 2, 3, 4 and 7, to do process the data, we follow steps in R studio:

Step 1: Create a folder called “Learning R” in D disk; “Learning R” restores all the data needing to process “Student list2” and “results” named in proportion to their content in Learning R file Step 2: Fill corresponding commands in R studio so as to read all document.

Step 3: Then all the data are summarized like this:

A crucial aspect of the report is the hypothesis test, where the significance level, denoted as α, represents the probability of inherent errors Typically, a significance level of α = 0.05 is effective, indicating a 5% risk and a 95% confidence that the number of students engaged in part-time jobs exceeds those who are not.

Descriptive results and findings

This section presents the findings of the research on FMT students' responses regarding the impact of part-time jobs on their studies The respondents were categorized into two groups to assess whether having a part-time job influences their academic performance The study explores both the benefits and drawbacks associated with balancing work and education.

80.00% students have part-time job studen don't have part-time job

Figure 1: Percentage of responders having part-time job and having no part-time job

In our survey's initial step, we inquired about participants' part-time job status The results reveal that 80% of students have a part-time job, compared to just 20% who do not, indicating that the prevalence of part-time employment among FMT students is significantly high.

To assess the daily study habits of students, we included the question, “How many hours per day do you spend on studying?” in our questionnaire.

Figure 2: Hours per day respondents spend on studying

The bar chart illustrates that over 50% of students dedicate 1 to 2 hours to studying, while nearly 40% invest 3 to 4 hours in their learning Notably, fewer than 10% of students study for five hours or more.

Our survey aims to assess the impact of part-time employment on students' academic performance by analyzing their GPA from the previous academic year We categorized the collected data into two distinct groups: students with part-time jobs and those without, allowing us to compare their GPAs effectively.

20.0 respondents having part-time job respondents having no part-time job

- under 6 points 6_6.9 points 7-7.9 points 8-10 points

Figure 3: GPA of students having a part-time job and GPA of students having no part-time job

The chart indicates that the highest frequency range for GPA is predominantly between 6 and 6.9 for both groups of students Notably, only 4 percent of students without part-time jobs achieved an excellent mark above 8 Furthermore, the number of students with part-time jobs who attained GPAs in the 6 to 6.9 range is twice that of their counterparts without part-time employment.

TIEU LUAN MOI download : skknchat@gmail.com under 6 accounts for 6 percent and the figure for students having no part-time job is quite similar (8%)

To find that how many students who satisfied their study results After collecting all the data, we have the below graph.

Satisfied Students do not have a part-time job

Quite satisfied Students have a part-time job Extremely satisfied

Figure 4: The degree of satisfaction with study result of students

The bar chart illustrates that 13% of students with part-time jobs are satisfied with their academic performance, compared to 7% of those without jobs Furthermore, 24% of students with part-time employment express dissatisfaction with their GPA, which is double the 12% of non-working students who feel the same Additionally, only a small percentage of working students report being quite satisfied (2%) or extremely satisfied (1%) with their results.

Earn money Improve soft skills Gain experiences Widen relationship

Figure 5: The advantage of getting a part-time job

An analysis of the data indicates that the primary benefits of part-time employment for students are the opportunity to earn money and gain valuable experiences.

According to recent findings, 37% and 39% of students recognize the value of part-time jobs, with 15% highlighting the enhancement of soft skills as the most significant advantage Additionally, only 9% of students believe that part-time employment contributes to expanding their social connections.

Figure 6: The disadvantage of getting a part-time job

In addition to the benefits, students also express concerns about the drawbacks of holding a part-time job According to a pie chart analysis, the primary disadvantage identified by 52% of students is the time wasted, while 38% believe that part-time employment negatively impacts their academic performance Furthermore, 10% of students view part-time work as a potential danger.

Results and Findings of the Hypothesis Test

Research question

This project aims to conduct a hypothesis test to determine if over 50% of FMT students with part-time jobs are satisfied with their academic results To gather data, a questionnaire was distributed, focusing on students' satisfaction regarding their study outcomes.

Assumptions

In our questionnaire, respondents can choose from five options regarding their satisfaction with the study results: extremely satisfied, quite satisfied, satisfied, not satisfied, and completely not satisfied For the purpose of analysis, we categorize the first three options as 'Satisfied' (indicating success) and the last two options as 'Not Satisfied' (indicating failure), resulting in two distinct qualitative outcomes.

4.2.2 The population follows Binomial distribution

A survey was conducted with a random selection of 80 FMT students, who all completed the same questionnaire The results reflect the outcomes of 80 identical trials, with each trial corresponding to an individual student's responses.

The question has two outcomes as explained above

The probabilities of choosing ‘Satisfied’ and ‘Not satisfied’ are the same for each trial, with p = 0.4 and 1- p = 0.6

The trials are independent because respondents are randomly selected and the answer of each one is not affected by the others

4.2.3 The sample proportions are approximately normally distributed

There are 80 students having part-time jobs among 100 students being asked therefore the sample size is now not 100 but 80 n

Let denote the hypothesized value for the population proportion= 0.5 n= 80 × 0.5 ≥ 5, n(1-) = 80 × (1- 0.5) ≥ 5 Then, the sample proportions are approximately normally distributed.

To conclude, this sample meets all the required assumptions to perform the one-sample Z test for proportion.

Data analysis

Let be the sample proportion of FMT students who have part-time jobs and satisfy with the study result

Hypothesis testing procedures

The hypothesis question is whether the majority (50%) of students in FMT, who have part- time jobs, achieve contented study results.

Step 1: The null and alternative hypotheses H 0 :

Step 4: Decision rule Critical value: Reject H 0 if

Step 5: Value of test statistic

We use R studio to compute the value of test statistic:

> one.prop.test(xH, n, p=0.5, alternative = "greater")

[1] "The value of the Z test statistic is 1.788854 and the p-value is

At a 95% significance level, there is substantial evidence indicating that FMT students with part-time jobs are satisfied with their academic performance.

The discussion of findings

A survey of 80 FMT students aimed to evaluate their satisfaction with academic results while managing part-time jobs The findings revealed that a significant majority of these students express satisfaction with their university performance, with 39% citing the experience gained from part-time work and 37% highlighting financial benefits Predictably, the analysis suggests that over 50% of FMT students feel fulfilled despite their dual commitments Utilizing a z-test for population proportion at a 5% significance level confirmed the hypothesis, indicating that approximately 50% of FMT students are satisfied with their academic achievements while balancing part-time employment.

Project evaluation

Limitation

Despite relying on objective data from collected questionnaires, our project faces certain limitations that we aim to address One significant challenge is the lack of responsibility among some students, as many did not approach the questionnaire seriously This resulted in responses that were either uncertain or randomly selected, undermining the reliability of the data.

Many students approached the questionnaire with a lack of seriousness, often following their friends' lead without consideration Some opted not to complete the questionnaire at all, while others chose to withhold personal information such as their name, ID, phone number, and email As a result, obtaining perfectly accurate data proved to be challenging, and the outcomes may not align with our initial expectations.

The small sample size may compromise the accuracy of assessing whether the population is approximately normal Additionally, some students might hesitate to share their honest opinions on this emotional topic, leading to potential biases in their cooperation This reluctance can significantly impact the survey results.

Using R-studio can present challenges, particularly for those who are new to R software The unfamiliarity with the platform often leads to confusion when searching for commands needed to create charts and perform various operations.

Implication

This project highlights the diverse perspectives on part-time employment among Hanoi University students While part-time jobs can be beneficial, providing valuable skills and experience, they may not suit every student’s situation Approximately 82% of participants believe that such jobs enhance resumes and foster essential relationships for future careers However, nearly 44% express concerns that working may negatively impact academic performance Despite these worries, our hypothesis testing indicates that students who balance work and study maintain relatively high GPAs Overall, the findings suggest that part-time employment does not adversely affect the academic results of Hanoi University students.

Conclusion and recommendations

Part-time jobs offer students the dual benefits of earning money and gaining valuable experience, but it's crucial for them to prioritize their primary goal of obtaining a degree Effective time management is essential for maintaining a balance between work and study commitments Additionally, universities can enhance student support by providing job orientation programs that familiarize students with the professional environment While juggling academics and part-time work can be challenging, the advantages—including improved time management skills, career development, and financial rewards—make part-time employment a worthwhile opportunity for students.

In conclusion, we hope our study encourages further exploration of the relationship between part-time jobs and the academic performance of Hanoi university students Due to the broad nature of this topic and the limited scope of our research, we were unable to address every detail Our aim is to provide Hanoi university students with insights into the advantages and disadvantages of holding a part-time job, enabling them to make informed decisions that could impact their future We anticipate that additional research will be conducted on this intriguing subject.

NganAnh, December 26 th 2017, “237 nghìncửnhânthấtnghiệptrongquý III năm 2017”, viewed

16 April 2018, http://www.nhandan.com.vn/xahoi/item/35112802-237-nghin-cu-nhan-that- nghiep-trong-quy-iii-nam-2017.html

Our group would like to be considered for bonus mark for doing substantial additional work

We have completed the following parts of the project using the R programming language:

Part Completed (Yes/No) Where to find the R code (e.g Appendix A)

Data preprocessing (e.g Yes Appendix A reading data file, converting relevant variables into factors)

Graphical descriptive Yes Appendix A methods

Where to find the R output

Data preprocessing (reading >setwd("D:/Learning R") data file) >getwd()

> IDdata data Sampling methods > ID100part.time.job.tablebarplot(part.time.job.table, main = "Bar graph of FMT part-time-job students", xlab = "Answer", ylab =

>subdatasatisfaction.tablebarplot(satisfaction.table, main = "Levels of satisfaction among FMT part time job students", xlab

= "Degrees of Satisfaction", ylab = "Fequency", ylim

= c(0,80)) Inferential methods > one.prop.test(xH, n, p=0.5, alternative "greater")

1 Data preprocessing (reading data file) >setwd("D:/Learning R")

> IDdatasatisfaction.table not satisfied satisfied

> one.prop.test(xH, n, p=0.5, alternative = "greater")

[1] "The value of the Z test statistic is 1.788854 and the p-value is 0.036819"

Questionaire The impacts of Part-time jobs on FMT students' GPA in Hanoi University

Hello! We are students from the Faculty of Management and Tourism at Hanoi University, conducting a project to examine the impact of part-time jobs on the GPA of FMT students Our goal is to clarify this issue using statistical methods and provide valuable recommendations for students We would greatly appreciate your support by completing the following questions and sharing your insights Thank you for your assistance!

1 Do you have a part-time job? * Yes

2 How many hours per day do you spend on studying? * 1-2 3-4 5-6 >6

3 How is your GPA ( Grade Point Average)? *

Tiêu đề	The Impacts of Part-time Jobs on FMT Students' GPA in Hanoi University
Tác giả	Nguyen Thi Hong, Ma Ngoc Linh, Nguyen Thuy Linh, Pham Phuong Linh, Hoang Ha My, Lai Thi Ngan, Ngo Thi Nhu Quynh, Nguyen Thi Thanh Thao, Nguyen Phuong Thuy
Người hướng dẫn	Lai Hoai Phuong, Chu Duc Nghia
Trường học	Hanoi University
Chuyên ngành	Faculty of Management and Tourism
Thể loại	Graduation Project
Năm xuất bản	2018
Thành phố	Hanoi

Định dạng
Số trang	39
Dung lượng	193,81 KB