International Journal of Knowledge Content Development & Technology
[ Article ]
International Journal of Knowledge Content Development & Technology - Vol. 9, No. 4, pp.7-29
ISSN: 2234-0068 (Print) 2287-187X (Online)
Print publication date 31 Dec 2019
Received 01 Oct 2019 Revised 05 Dec 2019 Accepted 20 Dec 2019
DOI: https://doi.org/10.5865/IJKCT.2019.9.4.007

Demographics, Social Media Use and Perceived Academic Stress of Secondary School Students in St. Thomas Aquinas College, Akure, Nigeria

Magnus Osahon Igbinovia* ; Ogagaoghene Uzezi Idhalama** ; Juliet C. Alex-Nmecha***
*Academic Librarian/Adjunct Lecturer, Ambrose Alli University, Ekpoma, Nigeria magnus.igbinovia@aauekpoma.edu.ng
**Lecturer, Ambrose Alli University, Ekpoma, Nigeria idhalamao@gmail.com
***Lecturer, University of Port Harcourt, Nigeria juliet.alex-nmecha@uniport.edu.ng

Abstract

The study was carried out to investigate the influence of demographics and social media use on perceived academic stress of secondary school students in St. Thomas Aquinas College, Akure, Nigeria. This was achieved using five research questions and four null hypotheses. The population of the study consisted of 1,107 students at ISCED level 3, out of which 286 were selected based on the Israel (2003) model for determining sample size. The Ex-Post Facto (EPT) research design of the correlational type was employed to investigate the study while questionnaire was used for data elicitation. Out of the 286 copies distributed, 192 (67% response rate) were retrieved and analyzed using descriptive statistics (frequency, percentage, mean and standard deviation) and inferential statistics (correlation and multiple regression). The findings revealed that there is high frequency of social media use among secondary school students, majorly for meeting new friends and chatting. The perceived academic stress (PAS) of the students was found to be moderate. Of the three demographics considered, only class had significant influence on PAS. Use of social media did not have significantly influence on PAS of the students. When combined, demographics and social media use predicted PAS; and when considered relatively, of the independent variables, only class as an aspect of demographics predicted PAS. Therefore, the authors concluded that PAS of secondary school students is not directly influenced by demographics (except for class) and social media use. Based on the study’s conclusion, recommendations were made.

Keywords:

Demographics, International Standard Classification of Education, Perceived Academic Stress, Social Media Use, St. Thomas Aquinas College, Nigeria

1. Introduction

The need to ensure quality education for all has become crucial to development and better living as reflected by the United Nations global agenda. The development agenda to transform our world and make it a better place resolves that inclusive and quality education for all is a vehicle to achieving sustainable development. Every Nation must look into her education sector as part of her resolution to achieve sustainable development. Therefore, education is considered an instrument for national development and the pre-tertiary level or secondary school requires crucial attention in vitalizing the overall system. The International Standard Classification of Education (ISCED) by the United Nations Educational, Scientific and Cultural Organization (UNESCO) stipulated that education is implemented at different age levels and denominations ranging from level 0 to level 6, where level 2, 3 and 4 represents lower secondary (junior secondary), upper secondary (senior secondary) and post-secondary non-tertiary education respectively (UNESCO Institute for Statistics, 2012). In Nigeria however, secondary school education falls in the purview of level 2 and 3 by the ISCED, these two levels will henceforth be referred to as secondary school education for the purpose of this present study.

Secondary school education in Nigeria is structured to take place for six years, which is three years each for the two levels. The objectives according to UNESCO-IBE (2006) are to: “equip students to live effectively in the modern age of science and technology; raise a generation of people who can think for themselves, respect the views and feelings of others, respect the dignity of labor, and live as good citizens; foster the Nigerian unity with an emphasis on the common ties that unite within diversity; and foster the desire for achievement and self-improvement.” As part of achieving these objectives, the secondary school students are subjected to learning various subject areas in their respective classes and the challenge to perform well in these subjects, coupled with other challenges typical of adolescences (which is usually the age of secondary school students) results to academic stress.

Academic stress according to Lal (2014) is the mental distress with respects to some anticipated frustration associated with academic failure or even unawareness to the possibility of such failure. In the view of García-Ros, Pérez-González, and Tomás (2018), academic stress which is prevalent among adolescence occurs at different stages of educational system affecting students’ personal, emotional and physical well-being, as well as their learning and performance levels. Meanwhile perceive academic stress refers to the consciousness of unpleasant situations that students encounter due to academic related demands on them including the need to pass an examination, maintaining healthy academic lives, competing with peers and meeting the academic expectations of their parents and teachers (Aihie & Ohanaka, 2019). For secondary school students, academic related activities and the corresponding need to succeed could impose in them a mental distress termed academic stress. This corroborates the position of Deb, Strodl, and Sun (2015) that school-related situations like tests, grades, studying, need to succeed imposed by self and others are the main sources of stress for high school students. While these are some of the well-known academic stressors of secondary school students, there are possibilities that the students’ demographic characteristics could also influence their academic stress level. This study focuses on age, department (art, social sciences and science) and the class of student as demographic characteristics likely to act as stressors to secondary school students. In addition to demographics, secondary school students’ use of social media has become very high with the likelihood of causing metal distress and invariably academic stress.

Social media is considered by Kietzmann et al. (2011) as a platform that introduces mobile and web-based innovations in order to create highly interactive avenues, through which people create, recreate, co-create, and disseminate different kinds of information. According to Mehmood and Taswir (2013), the introduction of the use of social media sites and the Internet is one of the best innovations which is still growing and has the capacity of influencing educational performance of students either positively or adversely. There are reports that social media is geometrically being patronized in this current dispensation and still growing. In 2015, Facebook platform alone stated that there were 1.49 billion customers that had an account with them (Kaya & Bicen, 2016). Some examples of social media platforms are YouTube, Twitter, Facebook, Instagram, LinkedIn, Google+, WhatsApp, Snapchat, Skype, IMO and Badoo, as well as other allied interactive sites.

Social media platforms according to Dhir and Tsai (2017) are popularly in use by majorly young adults and students at different levels of educational pursuit. These young adults are adolescence dominantly in the secondary school level of education. The concept of social media can either make or mar the academic journey of secondary school students depending on how students perceive them and what they use the media for. It is on this note that Akcaoglu and Bowman (2016) showed in their study that social media has more positive impact than the negative. They opined that social media play a considerable role to engage students in learning processes, feeling closer to their course materials and seeing their teachers as being more involved in the task of teaching. They further stated that social media has the capacity of boosting collaborative learning among the students. On the other hand, some authors comfortably outlined the risks which are related to frequent use of these media, for instance, Kokkinos and Saripanidis (2017) averred that there are various negative effects that are recorded with excessive use of those media which are isolation, depression, cyber bullying, peer initiation and academic fluctuations. However, whether or not social media use will lead to academic stress of secondary school students is open to scholarly investigation; hence the main objective of this study is to investigate the influence of demographics and social media use on the academic stress of secondary school students in Aquinas College, Akure, Ondo State, Nigeria.

1.1 St. Thomas Aquinas College, Akure

Established in 1951 by St. Thomas Aquinas, a Catholic Bishop; Aquinas College (as alternatively called) is the first secondary school to be instituted in Akure, Ondo State, Nigeria. The school is a male or all-boys school dedicated to excellence in teaching, learning and overall development of the child for the betterment of society. The school has about 3,500 students both in junior and senior secondary school. The Junior Secondary School (J.S.S) at its three levels has different arms or classes to reduce the overcrowding of each class. J.S.S. 1 has about 17 arms, J.S.S. 2 has about 12 arms and J.S.S 3 has about 9 arms. Also, the Senior Secondary School (S.S.S) at its three levels is structured into various arms. S.S.S. 1 has 12 arms, S.S.S 2 has 8 arms and S.S.S 3 has 12 arms also. Each of the levels across all arms in the senior secondary school are divided into three disciplines which are Science, Art and Commercial. Thus, at the senior secondary level, students are expected to be in either of these three disciplines based on their areas of high performance or on rare occasions, based on recommendations from their parent/guardian. The school also has a very strong alumni network with meets regularly and supports the development of the school. More information about the school is available on its official website which is www.aquinascollegeakure.ng

1.2 Research Questions

The research questions asked to guide the study are:

  • ∙ What is the demographic distribution of secondary school students in Aquinas College, Ondo State, Nigeria?
  • ∙ What is the frequency of use of social media platforms by secondary school students in Aquinas College, Ondo State, Nigeria?
  • ∙ What are the purposes of use of social media by secondary school students in Aquinas College, Ondo State, Nigeria?
  • ∙ What is the level of perceived academic stress of secondary school students in Aquinas College, Ondo State, Nigeria?

1.3 Research Hypotheses

The null hypotheses generated to guide the study at 0.05 level of significance are:

  • ∙ Ho1: There is no significant relationship between demographics and perceived academic stress of the secondary school students.
  • ∙ Ho2: There is no significant relationship between social media use and perceived academic stress of secondary school students.
  • ∙ Ho3: Demographics and social media use will have no joint influence of perceived academic stress of secondary school students.
  • ∙ Ho4: The relative contribution of demographics and social media use to perceived academic stress of secondary school students.

2. Literature Review

There appears to be a strong addiction in the use of social media by the young adults or adolescence, and students by extension. This was elaborated by Bello in Peter (2015) when the author pointed out that if the trend of social media obsession by students is not put on critical check, it could lead to a further problem to already collapsing education system in Nigeria. The advent of social media which is supposed to be a welcome invention is unfortunately being threatened due to the abuse of use by some teenage students. This is because some students can afford to practically stay on social media throughout the day without an attempt to read their books. Kolan and Dzandza (2018) affirmed that studies have it that over 95% of school students use social media sites. They also stated that students use the social media networks at least 30 minutes throughout the day as part of their daily routine. In a similar vein, Ogundijo (2014) stated that in Nigeria today, secondary school students are obsessed with social networking that they spend so much time on it to the extent that their academic scores suffer for it. Duggan and Smith (2013) opined in their study that 63% of Facebook users visit the site at least daily, on Instagram, 57% respondents of users use the app on a daily basis. 46% of respondents use Twitter daily, 23% of Pinterest users and 13% of LinkedIn users said they visit the sites daily. Social media addiction is an issue to consider among young adults, this was disclosed in a research carried out by Smith and Anderson (2018) where about half of social media users studied (ages 18 to 24) which is 51% state that it will be a daunting task for them to do without social media in life.

On the most used social medial tool, it depends to a large extent on the purpose for using such platform. This was particularly supported by Mingle and Adams (2015) when their research on preferred social media tool established that WhatsApp is the most popular social media platform used by Ghanaian students followed by Facebook and Twitter. In connection with the above, Ogaji et al. (2017) disclosed that in Kenya, more than half of the undergraduates studied pointed out that they will continue to use WhatsApp even if its cost becomes financially unbearable as they are fond of the conviviality they derived from social media sites. It is quite difficult if not impossible for today students to do without social media applications. Thus, Akakandelwa and Walubita (2017) shared same opinion by asserting that digital consumers presently spend an average of 1 hour, 58 minutes per day on social media and messaging; according to Chaffey this number has increased by another 20 minutes as at 2017.

There are numerous reasons why students use social media applications, some of the reasons as stated by Akakandelwa and Walubita (2017) are to obtain new information, to keep in touch with friends, facilitating school work, keeping in touch with family, chatting with others to find new friends and to share bad things with friends. Some authors believe that people may not physically be meeting frequently because of their tight schedule. This point was particularly supported by Sharma and Shukla (2016) by saying that young people engage in social media because this digital and busy planet does not make provision for people to always stay together physically for the sole purpose of interacting. By what we see today, some students also join the social media platforms for selfish gains, this they prosecute by engaging in defrauding their fellow gullible and naïve colleagues. Other students join social media to enable them to market their goods as some students are also business oriented. Popularity is another reason why most students find social media attractive. It is very important to note here that, some students indulge in social media platforms for sexual exploration purposes. This Adu-kumi (2016) found that though students don’t desperately ask for sexual material such as sex chips and porn videos, they along the line come across some social media platforms that encourage the above points listed. Subsequently, the use of social media by these young students in secondary schools takes so much of their time, attention and mental health, which will invariably cause them academic stress.

The concept of stress is seen as a main burden on an individual which is said to have exceeded the available assets of the person. It is a known fact therefore that if stress is not curbed, it leads to poor academic performances of students. The stress concept is not new in the journey of secondary school students towards achieving success. This is hinged on the fact that, both their curricula and extra curricula activities are laced with stressful activities. Being seen as the capable students, behoove on them to always be above board, in a bid to meet up with expectations, they are likely to encounter stress and anxiety which have negative effects on them (Saw, Berenbaum, & Okazaki, 2013). Academic stress can therefore be defined as a student’s psychological response to educational related needs that overstretch adaptive capabilities of students. Saleh et al. (2018) stated that of the 97,357 college students that were studied, 39% affirmed that academic stress is a reality as it leads to incomplete, dropped courses or a poor grade. Other common academic stresses are identified as academic overload, lack of time to meet commitments and taking exams. Other outcomes of academic stress by secondary students are lack of confidence, inability to make academic decisions, lack of relaxation after lectures, critical nature of teachers, fear of failing some courses etc.

School related stress has been seen to be the commonest, it is said to be an untreated cause of academic failure in our secondary schools today and it is viewed to affect alarming 10 to 16 million secondary school students annually (Taragar, 2009). In academic struggle, competition is seen as a major stress factor as students strive for various positions in their classes. There are some factors that influence academic stress which are age, gender, social economic status, sibling status, psychological process, performance as stated by Taragar (2009). On their part also, Kadapatti and Khadi in Sinha (2013) conducted a research and found out that high aspirations, poor study habits, more study problems, low socio-economic conditions and change in the medium of instruction were the factors that significantly influenced academic stress.

Allen and Holder (2014) viewed academic stress as students’ state of mind that affects their outcomes or performance positively or negatively. This state of mind has an obvious relationship with the demographic characteristics of the students. This was made clear by Persaud and Persaud (2016) when they averred that a student’s age and maturity are very likely to affect their level of academic stress. This corroborates the assertion of Rajasekar in Dimitrov (2017) that the transition from a lower class (determined by age) to a higher class is fairly academically stressful. However, the narrative is different to Chacón-Cuberos et al. (2019) when they discovered that there exists negative relationship between age and academic stress of students.

On gender, Persaud and Persaud (2016) pointed out that it is a common knowledge that female students are prone to greater stress than their male counterparts. They further argued that for the female students, they may experience more stress in the area of anxiety while the male students may experience more stress in the area of finance in school. But to Dyson and Renk (2006), regardless of gender, students have the same stress levels in relation to family life issues and movement from one class to the other. From the reviewed literature, it is likely that certain demographic variables like age, gender and class could influence academic stress of students in secondary schools.

Moreover, on the relationship between social media use and perceived academic stress of secondary school students, it must be noted that social media has become a major technologically trend in this dispensation and virtually all young adults engaged in the use of one form of social media or the other. It is therefore pertinent to consider if the use of social media could influence students’ academic stress. Sriwilai and Charoensukmongkol (2016) affirmed that students who are social media addicts tended to have lower mindfulness level and use emotion focused coping to battle with stress. Moreover, Kross et al. (2013) conducted a research investigating people’s Facebook usage and how susceptible they are to the feelings of life issues and found out that the more students use Facebook, the more their life satisfaction level reduces resulting to depression. Hughes (2018) who conducted a study on the effect of social media on depression, anxiety and stress, found that using a high number of social media platforms, for example Snapchat, Facebook, Instagram, LinkedIn and Twitter can affect all three negative emotional states examined, depression anxiety and stress. Moreover, Fodeman and Monroe in Ogundijo (2014) noted that usage of social media like Facebook has increased the anxiety level of secondary school students which eventually causes stress. The study of Aydogan and Buyukyilmaz (2017) on the effect of students’ use of social media on their stress and anxiety level showed that it is the frequency and duration of social media use that is likely to cause an increase in the stress and anxiety levels of the students. Thus, literature provides evidences of the relationship between use of social media and stress level of secondary school students.


3. Methodology

3.1 Participants

The population for the study consisted of students at ISCED level 3 i.e. senior secondary school 1 and 2. Those in class 3 were excluded from the study because they were not available in school during the period of data collection due to their ongoing Senior School Certificate Examination (SSCE). Therefore, the target population of the study is 1,107 students across S.S.S 1 and S.S.S 2 in the three disciplines (Sciences, Arts and Commercial) of Aquinas College, Akure.

In order to ascertain the suitable sample size given the target population of 1,107 secondary school students, the study adopted the Israel (2003) model for determining sample size which affirms that for a known population, a precision level of either ±3%, ±5%, ±7% or ±10%, and a confidence level of 95%, a sample size can be estimated. This model is implemented for this study as seen in Table 1 below:

Sample size for ±3%, ±5%, ±7% and ±10% Precision Levels Where Confidence Level is 95% and P=.5.

From Table 1 above, where ±5% was taken for precision at 95% confidence level when the population is 1,000 (closest to the study’s population of 1,107), the sample should be 286. Therefore, a total number of 286 secondary school students participated in the study.

3.2 Design and Procedure

The Ex-Post Facto (EPT) research design of the correlational type was employed to investigate and examine the relationship between the independent (demographics and social media use) and dependent (perceived academic stress) variables, which are expected to have occurred, hence the researchers lack active manipulation of the intervention or treatment. The form of EPF used is the survey sampling design which seeks to collect data from the students from which generalization is made. In line with ethical consideration, the management of the school was contacted to seek consent for the study. The management helped obtain the consent of the parents, for the study, through the Parent and Teachers’ Association (PTA) which holds periodically every term.

Given the number of participants for the study, 286 copies of questionnaire were distributed to secondary school students in class 1 and 2 of ISCED level 3. These students were contacted in their class during their free period. Out of the 286 copies distributed, 192 (67% response rate) were retrieved and found to have been filled appropriately for the study, hence subjected to analysis using descriptive statistics (frequency, percentage, mean and standard deviation) for the research questions. While inferential statistics (correlation and multiple regression) were used for the hypotheses at 0.05 level of significance.

3.3 Measures

The instrument for data elicitation was a structured questionnaire titled “Demographics, Social media and Perceived Academic Stress Scale (DSMPASS)” which consisted of three sections.

∙ Section A: Demographic Scale

This section elicits data on the demographic characteristics of the students’ understudied using age, department and class. The age was given in intervals of three from 12 to 14, 15-17, 18-20 and those above 20. Investigation showed that the least student in age was 12 years old which serve as the minimum benchmark to measure age. On students’ department, the three available areas of study in the school (Science, Art and Commercial) were captured. Likewise, the two classes chosen for the study were captured under demographics to ascertain the educational level of the respondents.

∙ Section B: Use of Social Media Scale

This section of the questionnaire consisted of measures for frequency of use and purpose of use. Frequency of use was measured using 5-point Likert scale of daily, weekly, month, occasionally and never. Whereas, purpose of use was measured using 4-point Likert scale of Strongly Agree (4), Agree (3), Disagree (2) and Strongly Disagree (1). The items for these scales (frequency of use and purpose of use) that the students responded to are Facebook, Google+, Twitter, WhatsApp, YouTube, Flickr, Snapchat, Instagram, LinkedIn and Messenger.

∙ Section C: Perceive Academic Stress (PAS) Scale

This section measures perceived academic stress of the respondents using four Likert scale response formants of Strongly Agree (4), Agree (3), Disagree (2) and Strongly Disagree (1). The items used on this scale were generated from literature on perceived academic stress especially of adolescences and secondary school students. A little modification was done in restructuring the items to suit this present study, and as such adopted to measure perceived academic stress of secondary school students.


4. Results

4.1 Answering Research question

The results for the study are presented below in accordance with the research questions raised and hypothesis generated to guide the study:

4.1.1 Demographic characteristics of the secondary school students

Table 1 revealed that most of the secondary school students 124 (64.6%) were between the ages of 15-17, while the least 2 (1.0%) were above 20 years old. Students from the Science department 81 (42.2%) participated in the study more than the others with those in Commercial department 52 (27.1%) being the least. Findings also showed that a significant number of the secondary school students 101 (52.6%) were in SS2 and the rest 91 (47.4%) were in SS1.

4.1.2 Social media use by the secondary school students

This section will contain the frequency of use and purpose of use of social media by the secondary school students.

(1) Frequency of use

Table 2 presented results on the frequency of use of social media platforms by the respondents. Findings showed that most of the students 141 (73.4%) noted that they used Facebook on a daily basis. This was followed by Messenger as the students 101 (52.6%) were of the view that they made use of it daily. On the other hand, over four-fifths of the students 158 (82.3%) never used Flickr and 157 (81.8%) also never used LinkedIn. With a calculated average mean of 2.6 and criterion mean value of 2.5, the frequency of social media use by secondary school students is seen to be high.

Demographic characteristic of respondents

(2) Purposes of use

Table 3 revealed that the most prominent reason why the secondary school students used the social media was to meet friends (X =3.55). This was followed by; chatting with friends (X =3.45); downloading music (X =3.11); downloading pictures (X =3.09) and for the purposes of engaging in group discussion (X =2.98).

Frequency of use of social media by secondary school students

Purpose of use of social media by secondary school students

4.1.3 Level of perceived academic stress of secondary school students

In order to determine the level of perceived academic stress of the students, a test of norm was conducted. The scale between 0-23 shows that the level of perceived academic stress is low, the scale between “24-48” connotes that the level of perceived academic stress is moderate and the scale between “49-72” indicates that the level of perceived academic stress is high. Thus, the overall mean for perceived academic stress 42.86 which fall between the scale “24-48.” Therefore, it could be deduced that the level of perceived academic stress of the secondary school students is moderate (Table 5).

Perceived academic stress of secondary school student

4.2 Test of hypotheses

  • Ho1: There is no significant relationship between demographics and perceived academic stress of the secondary school students

In order to establish the relationship between each demographic variable and perceived academic stress, correlation matrix table is presented (Table 6). There is a positive relationship between age and perceived academic stress. Though not significant (r=.090; N=192; p<0.05). This implies that as the age of the students’ increases, there are tendencies that their level of perceived academic stress might also increase. Thus, the null hypothesis is accepted. There is a positive relationship between department and perceived academic stress, though not significant (r=-.140; N=192; p<0.05). Thus, the department of the students could present academic stress in some instances, while in others it might not. As a result, the null hypothesis is accepted. There is a significant positive relationship between class and perceived academic stress (r=.144*; N=192; p<0.05). This indicates that as the students move up to the next class; their perceived academic stress also increases. Thus, the null hypothesis is rejected.

Correlation matrix showing the relationship between each demographic factor and perceived academic stress of secondary school students

  • Ho2: There is no significant relationship between social media use and perceived academic stress of secondary school students

Table 7 presented the results of the correlation analysis and findings showed that there is a negative relationship between social media use and perceived academic stress of secondary school students (r= -.136; df = 191; p < 0.05). This implies that the more the secondary students use the social media, the less their level of perceived academic stress. Thus, the null hypothesis is accepted.

Relationship between social media use and perceived academic stress by secondary school students

  • Ho3: Demographics and social media use will have no joint influence of perceived academic stress of secondary school students

Table 8 showed the joint contribution of demographics and social media use to the prediction of perceived academic stress. The table showed a coefficient of multiple correlation (R=.256 and a multiple R2 of .066). This means that 6.6% of the variance was accounted for by the two predictor variables when taken together. The significant of the composite contribution was tested at P<.05. The table also showed that the analysis of variance for the regression yielded F-ratio of 3.286 (P<0.05). This implies that the joint contribution of the independent variables to the dependent variable was significant and the other variables not included in this model may have accounted for the remaining variance. Thus, the null hypothesis is rejected.

Joint contribution of demographics and social media use to perceived academic stress of secondary school students

  • Ho4: The relative contribution of demographics and social media use to perceived academic stress of secondary school students

Table 9 reveals the relative contribution of the two independent variables to the dependent variable. The relative contribution is expressed as beta weights, demographics; age (β = .089, P< .05) department (β = .081, P< .05) and class (β =.189, P<.05); and social media use (β =-.141, P<.05) Hence out of the independent variables of age, department, class and social media use, only class (one of the demographics) that significantly predicts perceived academic stress of secondary school students.

Multiple regression analysis showing the relative contribution of demographics and social media use to perceived academic stress of secondary school students


5. Discussion

The study revealed that majority of the students in class 1 and 2 of ISCED level 3 are between the age range of 15-17 years as indicated by 124 (64.5%) of the respondents. Also, majority of the students constituting 81 (42.2%) were in science discipline while 101 (52.6%) of them are in class 2.

On the frequency of use of social media platforms, the study revealed that majority of the student respondents regularly visited the various social media platforms. For instance, 141 (73.4%) respondents visit Facebook on a daily basis, 101 (52.6%), 79 (41.1%), 50 (26.0%) of the students studied visited messenger, WhatsApp and Instagram respectively on a daily basis. The implication of this finding is that secondary school students use social media sites that are very interactive and capable of connecting them to new people as it is Facebook, messenger and WhatsApp.

As pertains to purposes of use, the study found that most of the respondents use the social media tools to meet friends (116/60.4%), chat with friends (106/55.2%), read for examinations (61/31.8%) submit assignments (37/19.3%) and ask questions from teachers (29/15.1%). This study is in agreement with Mingle and Adams (2015) when they investigated social media network participation in senior high schools in Ghana. Their findings revealed that most of the respondents constituting 41.4% noted that they use social media networks for making friends, and this is followed by those who indicated their purpose for using social media networks was for chatting, constituting 30.5% of the respondents. However, this finding contradicts the submission of Omekwu (2019) when he noted that social media platforms provide numerous and flexible pedestals for educational activities such as class scheduling, examination information and information sharing among stakeholders. It can be inferred therefore that while secondary school students are expected to use social media for educative or academic purposes, majority of them utilizes these networks for social purposes like meeting new friends and chatting with them.

The study also showed that the level of perceived academic stress of secondary school students investigated was found to be moderate. This is hinged on outcome of the overall mean for perceive academic stress pegged at 42.86. This particular finding corresponds with that of Ebrahim (2016) when he found out that the respondents on the average, had moderate levels of perceived academic stress; and only 12% of the sample reported a high level of stress. Moreover, the study revealed that of all demographics considered for the study (age, department and class), had a positive correlation with perceived academic stress of the students, although of such positive correlation, only class of the respondents was found to be have a significant positive relationship. This seem to tally with Persaud and Persaud (2016) who investigated the relationship between socio-demographics and stress levels, stressors, and coping mechanisms found that demographic variables like enrolment-status, age and GPA had significant influence on the stress level of students. It can be infer from the findings of this study that the higher secondary school students go in the class, the more they seem to experience academic stress. This tally with Rajasekar (2013) who noted that academic stress of students increased when they move to a higher class. By implication, that other factors peculiar to the class level of students could account for the academic stress level of the students.

The study further showed that there is a negative relationship between social media use and perceived academic stress of secondary school students, which is not significant. Therefore, use of social media would help to reduce the academic stress level of the students. This could be accounted for by the fact that the students use social media platforms for social purposes which could help then unwind or ease off stress accrued by academic activities. This finding correlates the study of Tompoulidis (2015) on examining students’ Facebook utilization for stress relieve. The study posited that secondary school students actively use Facebook to vent personal issues and seek support from friends and family members when they are stressed academically due to overwhelming assignments and exams. As such, Facebook serves as a platform for the students to relieve their academic stress as such enabling them regain relaxation and academic focus. According to Rithika and Selvaraj (2013), use of social media platforms or the number of friends that secondary school students have on social media platforms does not automatically lead to academic stress. The authors asserted that what leads to stress is the use of social media to increase awareness of stress events in the life of such students, concluding that the relationship between social media use and stress is indirect. By implication, it’s not the use of social media that causes stress but the stress related activities that social media platforms are used for.

In addition, the study revealed that when combined, demographics and use of social media will significantly influenced the perceived academic stress of secondary school students. However, then considered relatively, only class, which is one of the demographics, significantly predicts perceived academic stress. It invariably implies that there are other factors that could account for the moderate level of stress perceived by secondary school students. The research of Bedewy and Gabriel (2015) suggests pressure to perform, perceptions of workload, academic self-perception and time restraints as some factors capable of causing academic stress in students. Ghatol (2017) also asserted some causes of stress among secondary school students to include disturbed family dynamics, peer pressure, inability to cope with studies, drug abuse, lack of competence and need for instant gratification of needs.


6. Conclusion

Academic stress is moderately perceived by secondary school students and this stress does not directly result from their use of social media platforms. Though the use of social media among secondary school students is revealed to be high, such use does not directly arouse academic stress. On the contrary, proper and moderated use of social media by secondary school students could be a tool for them to unwind and be socially relevant. It is when students engage in social media platforms to participate in stressful activities that they become stressed academically. The demographic characteristics of secondary school students like age and course of study / discipline predicts academic stress significantly. However, class when considered in isolation could increase academic stress of students. This seems to suggest that when students move from one class to a higher one, there are tendencies of increased academic stress. This could be a result of increased workload, increase expectation from the student, among other things.

References

  • Adu-Kumi, B. (2016). Sexuality Going Viral: Using WhatsApp as a site for Sexual Exploration among College Students in Ghana(Master’s thesis, University of Oregon, Eugene, United States). Retrieved from http://hdl.handle.net/1794/20551
  • Aihie, O. N., & Ohanaka, B. I. (2019). Perceived Academic Stress among Undergraduate Students in a Nigerian University. Journal of Educational and Social Research, 9(2), 56-66. [https://doi.org/10.2478/jesr-2019-0013]
  • Akakandelwa, A., & Walubita, G. (2017). Students’ Social Media Use and its Perceived Impact on their Social Life: A Case Study of the University of Zambia. The International Journal of Multi-Disciplinary Research, 5(3), 1-14. Retrieved from https://pdfs.semanticscholar.org/203e/8b7e79b5d1d5bcd49ec7d9168601fb22580d.pdf
  • Akcaoglu, M., & Bowman, N. D. (2016). Using Instructor-led Facebook Groups to Enhance Students’ Perceptions of Course Content. Computers in Human Behavior, 65, 582-590. [https://doi.org/10.1016/j.chb.2016.05.029]
  • Allen, J., & Holder, M. D. (2014). Marijuana Use and Well-being in University Students. Journal of Happiness Studies, 15(2), 301-321. [https://doi.org/10.1007/s10902-013-9423-1]
  • Aydogan, D., & Buyukyilmaz, O. (2017). The Effect of Social Media Usage on Students’ Stress and Anxiety: A Research in Karabuk University Faculty of Business. International Journal of Multidisciplinary Thought, 6(1), 253–260. Retrieved from https://www.researchgate.net/publication/316509894_The_Effect_of_Social_Media_Usage_on_Students%27_Stress_and_Anxiety_A_Research_in_Karabuk_University_Faculty_of_Business
  • Bedewy, D., & Gabriel, A. (2015). Examining Perceptions of Academic Stress and its Sources among University Students: The Perception of Academic Stress Scale. Health Psychology Open, 2(2), 1–9. [https://doi.org/10.1177/2055102915596714]
  • Chacón-Cuberos, R., Zurita-Ortega, F., Olmedo-Moreno, E. M., & Castro-Sánchez, M. (2019). Relationship between Academic Stress, Physical Activity and Diet in University Students of Education. Behavioral Sciences, 9(6), 59, 1-12. [https://doi.org/10.3390/bs9060059]
  • Deb, S., Strodl, E., & Sun, J. (2015). Academic Stress, Parental Pressure, Anxiety and Mental Health among Indian High School Students. International Journal of Psychology and Behavioral Sciences, 5(1), 26-34.
  • Dhir, A., & Tsai, C. C. (2017). Understanding the Relationship between Intensity and Gratifications of Facebook Use among Adolescents and Young Adults. Telematics and Informatics, 34(4), 350-364. [https://doi.org/10.1016/j.tele.2016.08.017]
  • Dimitrov, B. G. A. (2017). A Study on the Impact of Academic Stress among College Students in India. Ideal Research: An International Multidisciplinary, 2(4), 21-34. Retrieved from https://www.researchgate.net/profile/George_Dimitrov3/publication/316643403_A_study_on_the_impact_of_Academic_Stress_among_college_students_in_India/links/59096104aca272f658fbff52/A-study-on-the-impact-of-Academic-Stress-among-college-students-in-India.pdf
  • Duggan, M., & Smith, A. (2013). Social Media Update 2013. Retrieved from https://www.pewresearch.org/internet/2013/12/30/social-media-update-2013/
  • Dyson, R., & Renk, K. (2006). Freshmen Adaptation to University Life: Depressive Symptoms, Stress, and Coping. Journal of clinical psychology, 62(10), 1231-1244. [https://doi.org/10.1002/jclp.20295]
  • Ebrahim, M. (2016). Perceived Academic Stress and its Association with Student Characteristics. Journal of Applied Medical Sciences, 5(4), 1-15. Retrieved from http://www.scienpress.com/Upload/JAMS/Vol%205_4_1.pdf
  • García-Ros, R., Pérez-González, F., & Tomás, J. (2018). Development and Validation of the Questionnaire of Academic Stress in Secondary Education: Structure, Reliability and Nomological Validity. International journal of environmental research and public health, 15(9), 2023. [https://doi.org/10.3390/ijerph15092023]
  • Ghatol, S. D. (2017). Academic Stress among Higher Secondary School Students: a Review. International Journal of Advanced Research (IJARET), 4(1), 38-41. Retrieved from https://pdfs.semanticscholar.org/f2d2/7f163dd00d28b6b5a9f72bdd468637891740.pdf
  • Hughes, S. (2018). The Effects of Social Media on Depression Anxiety and Stress. Retrieved from https://esource.dbs.ie/handle/10788/3481?show=full
  • Israel, G. D. (2003). Determining sample size. University of Florida: IFAS Extension. Available at: https://www.tarleton.edu/academicassessment/documents/Samplesize.pdf
  • Kaya, T., & Bicen, H. (2016). The Effects of Social Media on Students’ Behaviors; Facebook as a Case Study. Computers in Human Behavior, 59, 374-379. [https://doi.org/10.1016/j.chb.2016.02.036]
  • Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social Media? Get Serious! Understanding the Functional Building Blocks of Social Media. Business horizons, 54(3), 241-251. [https://doi.org/10.1016/j.bushor.2011.01.005]
  • Kokkinos, C. M., & Saripanidis, I. (2017). A Lifestyle Exposure Perspective of Victimization through Facebook among University Students. Do Individual Differences Matter?. Computers in Human Behavior, 74, 235-245. [https://doi.org/10.1016/j.chb.2017.04.036]
  • Kolan, B. J., & Dzandza, P. E. (2018). Effect of Social Media on Academic Performance of Students in Ghanaian Universities: A Case Study of University of Ghana, Legon. Library Philosophy and Practice, 1-24. Retrieved from https://digitalcommons.unl.edu/libphilprac/1637
  • Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., ... & Ybarra, O. (2013). Facebook Use Predicts Declines in Subjective Well-being in Young Adults. PloS ONE, 8(8), e69841. [https://doi.org/10.1371/journal.pone.0069841]
  • Lal, K. (2014). Academic Stress among Adolescent in Relation to Intelligence and Demographic Factors. American International Journal of Research in Humanities, Arts and Social Sciences, 5(1), 123-129. Retrieved from https://pdfs.semanticscholar.org/6136/57aa79567559da0ea866d8c708c9bff9c6d4.pdf
  • Mehmood, S., & Taswir, T. (2013). The Effects of Social Networking Sites on the Academic Performance of Students in College of Applied Sciences, Nizwa, Oman. International Journal of Arts and Commerce, 2(1), 111-125. Retrieved from https://pdfs.semanticscholar.org/c58c/bf7d9813e0b5909c06fce3afe921e7617698.pdf
  • Mingle, J., & Adams, M. (2015). Social Media Network Participation and Academic Performance in Senior High Schools in Ghana. Library Philosophy and Practice, 1-51. Retrieved from http://digitalcommons.unl.edu/libphilprac/1286
  • Nagrarasa, S., Shashihiran, M., Mahadeva, S., & Mahapatra M. (2016). Awareness and Use of Social Media by Students-Teachers: A Study. International journal of next generation library and technologies, 2(4), 1-14. Retrieved from http://www.ijnglt.com/files/v2i4/Nagaraja.pdf
  • Ogaji, I. J., Okoyeukwu, P. C., Wanjiku, I. W., Osiro, E. A., & Ogutu, D. A. (2017). Pattern of Use of Social Media Networking by Pharmacy Students of Kenyatta University, Nairobi, Kenya. Computers in Human Behavior, 66, 211-216. [https://doi.org/10.1016/j.chb.2016.09.035]
  • Ogundijo, O. (2014). Use of Social Networking among Secondary School Students: Implications for Academic Performance. Scientific Research Journal (SCIRJ), 2(5), 17-34. Retrieved from https://www.scribd.com/doc/234862053/Use-of-Social-Networking-among-Secondary-School-Students-Implications-for-Academic-Performance
  • Omekwu, C. O. (2019, May). Smart Schools: New Frontiers for Education in the Digital Age. Distinguished Lecture Delivered at the Faculty of Education, Ambrose Alli University, Ekpoma, Nigeria.
  • Persaud, N., & Persaud, I. (2016). The Relationship between Socio-Demographics and Stress Levels, Stressors, and Coping Mechanisms among Undergraduate Students at a University in Barbados. International Journal of Higher Education, 5(1), 11-27. [https://doi.org/10.5430/ijhe.v5n1p11]
  • Peter, O. (2015). Social Media and Academic Performance of Students in University of Lagos(Master’s thesis, University of Lagos, Lagos, Nigeria). Retrieved from https://www.researchgate.net/profile/Peter_Osharive/publication/273765241_SOCIAL_MEDIA_AND_ACADEMIC_PERFORMANCE/links/550b59f90cf265693cef75a7.pdf
  • Rithika, M., & Selvaraj, S. (2013). Impact of Social Media on Student’s Academic Performance. International Journal of Logistics & Supply Chain Management Perspectives, 2(4), 636-640. Retrieved from https://www.researchgate.net/profile/Sara_Selvaraj3/publication/288516435_IMPACT_OF_SOCIAL_MEDIA_ON_STUDENT'S_ACADEMIC_PERFORMANCE/links/5681daf608ae1975838f964f.pdf
  • Saleh, D., Camart, N., Sbeira, F., & Romo, L. (2018). Can We Learn to Manage Stress? A Randomized controlled trial carried out on university students. PLoS ONE, 13(9), 1-20. [https://doi.org/10.1371/journal.pone.0200997]
  • Saw, A., Berenbaum, H., & Okazaki, S. (2013). Influences of Personal Standards and Perceived Parental Expectations on Worry for Asian American and White American College Students. Anxiety, Stress & Coping, 26(2), 187-202. [https://doi.org/10.1080/10615806.2012.668536]
  • Sharma, A., & Shukla, A. K. (2016). Impact of Social Messengers Especially WhatsApp on Youth: A Sociological study. International Journal of Advance Research and Innovative Ideas in Education, 2(5), 367-375. Retrieved from http://ijariie.com/AdminUploadPdf/IMPACT_OF_SOCIAL_MESSENGERS_ESPECIALLY_WHATSAPP_ON_YOUTH_A_SOCIOLOGICAL_STUDY_ijariie3111.pdf
  • Smith, A., & Anderson, M. (2018). Social Media Use in 2018. Pew Research Center: Internet & Technology. Retrieved from https://www.pewinternet.org/2018/03/01/social-media-use-in-2018/
  • Sinha, C. (2013). Adolescents’ Academic Stress. Journal of International Academic Research for Multidisciplinary, 1(11), 529-535. Retrieved from http://www.jiarm.com/Dec/paper8362.pdf
  • Sriwilai, K., & Charoensukmongkol, P. (2016). Face it, don't Facebook it Impacts of Social Media Addiction on Mindfulness, Coping Strategies and the Consequence on Emotional Exhaustion. Stress and Health, 32(4), 427-434. [https://doi.org/10.1002/smi.2637]
  • Taragar, S. (2009). Stressors among the Students of High School(Master’s thesis, University of Agricultural Sciences, Dharwad, India). Retrieved from http://krishikosh.egranth.ac.in/handle/1/82858
  • Tompoulidis, T. (2015). Relax and Log on Facebook: Examining Students’ Use of Facebook to Relieve Academic Stress through Perceived Social Support(Master’s thesis, University of Kentucky). Retrieved from https://uknowledge.uky.edu/comm_etds/36
  • UNESCO-IBE. (2006). World Data on Education (6th Ed.), Nigeria. Retrieved from http://www.ibe.unesco.org/fileadmin/user_upload/archive/Countries/WDE/2006/SUB-SAHARAN_AFRICA/Nigeria/Nigeria.pdf
  • UNESCO Institute for Statistics. (2012). International Standard Classification of Education ISCED 2011. Quebec, Canada: UNESCO Institute for Statistics. Retrieved from http://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-education-isced-2011-en.pdf [https://doi.org/10.15220/978-92-9189-123-8-en]
  • Rajasekar, D. (2013). Impact of Academic Stress among the Management Students of Amet University―An analysis. AMET International Journal of Management, 32-40. Retrieved from http://ametjournal.com/attachment/Ametjournal5/5%20Rajasekar%2016-8-13.pdf
  • Ogundijo, O. (2014). Use of Social Networking among Secondary School Students: Implications for Academic Performance. Scientific research journal (SCIRJ), 2(5), 17-34. Retrieved from http://scirj.com/rp/files/original/bd8507b0036a66537524a1b5735c5276.pdf

Appendix

[APPENDIX] QUESTIONNAIRE

Dear Respondents.

Kindly assist me with the completion of this questionnaire. Be assured that all responses will be confidentially used for research purpose only.

SECTION A: DEMOGRAPHICS

Age (in years): Below 12               12-14               15-17               18-20               20 and above              

Department: Science               Art               Commercial          

Class: S.S. 1               S.S. 2          

SECTION B: USE OF SOCIAL MEDIA

How frequent do you use social media? Please tick as applicable.

Which of the following purposes do you use social media for? Please tick as applicable.

SECTION C: PERCEIVED ACADEMIC STRESS (PAS) SCALE

Kindly respond to the following statement by ticking [✓] either: Strongly Agree (4), Agree (3), Disagree (2) and Strongly Disagree (1) as appropriate to you.

[ About the authors ]

Magnus Osahon Igbinovia is currently an Academic Librarian at Ambrose Alli University, Ekpoma. He is also an Adjunct Lecturer in the Department of Library and Information Science, Ambrose Alli University. He is currently undertaking PhD programme at the University of Ibadan, Nigeria. The author has written over 25 scholarly articles published in reputable international and local journals. He has also presented papers in Library and Information Science related conferences. He is a member of some professional bodies like the Nigerian Library Association (NLA), Library Advocacy Group (LAG) and certified by the Librarians’ Registration Council of Nigeria (LRCN). He is the recipient of the 2016 Young Library and Information Professionals (yLIPs) award by the Nigerian Library Association. The author can be contacted at magnus.igbinovia@aauekpoma.edu.ng and infor.migbinovia@gmail.com.

Ogagaoghene Uzezi Idhalama is a lecturer in the Department of Library and Information Science at Ambrose Alli University, Ekpoma, Edo State, Nigeria. He holds B.Sc. and MLIS from Ambrose Alli University and Nnamdi Azikiwe University respectively. He is a chartered Librarian of Nigeria (CLN) registered by the Librarians’ Registration Council of Nigeria (LRCN), with a number of prizes to his credit. He has published over fifteen articles in both national and international journals. Areas of interests are information behaviour, knowledge management and new trends in LIS. He can be contacted via idhalama0@gmail.com and idha.lam@aauekpoma.edu.ng

Juliet C. Alex-Nmecha is a lecturer in the Department of Library and Information Science at University of Port Harcourt, Rivers State, Nigeria. She has published articles in local and international journals, attended and presented papers in LIS conferences and other conferences related to Education. She is a member of some professional associations such as Nigerian Library Association (NLA) and Association of Women Librarians of Nigerian (AWLIN) where she currently serves as the Financial Secretary. She is also a member of the Library Advocacy Group (LAG) and certified to practice by the Librarians’ Registration Council of Nigeria (LRCN). She is an award winner of the Best Practicing Librarian in Rivers State, Nigeria and Library Services Promotion award winner by the Nigerian Library Association. She can be contacted via Juliet.alex-nmecha@uniport.edu.ng

Table 1.

Sample size for ±3%, ±5%, ±7% and ±10% Precision Levels Where Confidence Level is 95% and P=.5.

Size of the Population Sample size (n) for precision (e) of:
±3% ±5% ±7% ±10%
a = Assumption of normal population is poor; hence the entire population should be sampled.
500 A 222 145 83
600 A 240 152 86
700 A 255 158 88
800 A 267 163 89
900 A 277 166 90
1,000 A 286 169 91
2,000 717 333 185 95

Table 2.

Demographic characteristic of respondents

Demographic Characteristics Freq Percentage (%)
Age 12-14 45 23.4
15-17 124 64.6
18-20 21 10.9
Above 20 2 1.0
Department Science 81 42.2
Arts 59 30.7
Commercial 52 27.1
Class SS1 91 47.4
SS2 101 52.6
Total 192 100

Table 3.

Frequency of use of social media by secondary school students

Social media Daily Weekly Monthly Occasionally Never M SD
F % F % F % F % F %
Facebook 141 73.4 30 15.6 1 0.5 16 8.3 4 2.1 4.50 1.008
Google 45 23.4 36 18.8 14 7.3 34 17.7 63 32.8 2.82 1.611
Twitter 16 8.3 10 5.2 14 7.3 25 13.0 127 66.1 1.77 1.283
WhatsApp 79 41.1 27 14.1 14 7.3 20 10.4 52 27.1 3.32 1.699
YouTube 40 20.8 34 17.7 19 9.9 31 16.1 68 35.4 2.72 1.589
Flickr 8 4.2 5 2.6 8 4.2 13 6.8 158 82.3 1.40 .992
Snapchat 24 12.5 13 6.8 8 4.2 16 8.3 131 68.2 1.87 1.454
Instagram 50 26.0 25 13.0 13 6.8 23 12.0 81 42.2 2.69 1.702
LinkedIn 10 5.2 12 6.3 8 4.2 5 2.6 157 81.8 1.51 1.158
Messenger 101 52.6 22 11.5 1 0.5 10 5.2 58 30.2 3.51 1.799

Table 4.

Purpose of use of social media by secondary school students

Purpose of use of social media I use social media to: SA A D SD M SD
F % F % F % F %
Key: SA (Strongly Agree) A (Agree) D (Disagree) SD (Strongly Agree)
Submit assignments 37 19.3 85 44.3 36 18.8 34 17.7 2.65 .986
Engage in group discussion 59 30.7 86 44.6 31 16.1 16 8.3 2.98 .898
Ask questions from teachers 29 15.1 66 34.4 58 30.2 39 20.3 2.44 .980
Read for examinations 61 31.8 85 44.3 24 12.5 22 11.5 2.96 .951
Watch films 56 29.2 88 45.8 31 16.1 17 8.9 2.95 .900
Chat with friends 106 55.2 73 38.0 7 3.6 6 3.1 3.45 .715
Download music 87 45.3 62 32.3 21 40.9 22 11.5 3.11 1.006
Download pictures 82 42.7 66 34.4 23 21.0 21 10.9 3.09 .991
Meet friends 116 60.4 68 35.4 6 3.1 2 1.0 3.55 .612
Online dating 59 30.7 52 27.1 31 16.1 50 26.0 2.63 1.173

Table 5.

Perceived academic stress of secondary school student

Items SA A D SD M SD
F % F % F % F %
I am not so confident that I will be a successful student 5 2.6 9 4.7 49 25.5 129 67.2 1.43 .705
I am not so confident that I will be successful in my future career 11 5.7 3 1.6 56 29.2 122 63.5 1.49 .793
I find it difficult to make academic decisions easily 15 7.8 26 13.5 76 39.6 75 39.1 1.96 .913
The time allocated to classes and academic work is not enough 26 13.5 56 29.2 63 32.8 47 24.5 2.32 .991
I do not have enough time to relax after work 21 10.9 24 38.5 56 29.2 41 21.4 2.39 .943
My teachers are critical of my academic performance 37 19.3 39 20.3 79 41.1 37 19.3 2.40 1.008
I fear failing some subjects this year 54 28.1 40 20.8 46 24.0 52 27.1 2.50 1.167
I think that my worry about examinations is weakness of character 28 14.6 56 29.2 62 32.3 46 24.0 2.34 1.001
Teachers have unrealistic expectations of me 25 13.0 59 30.7 56 29.2 52 27.1 2.50 1.167
The size of the curriculum (workload) is excessive 31 16.1 72 37.5 46 24.0 43 22.4 2.47 1.013
I believe that the amount of work assignment is too much 23 12.0 31 16.1 62 32.3 76 39.6 2.01 1.021
Am unable to catch up if getting behind the work 23 12.0 48 25.0 63 32.8 58 30.2 2.19 1.001
The unrealistic expectations of my parents stress me out 27 14.1 48 25.0 52 27.1 65 33.9 2.19 1.058
Competition with my peers for grades is quite intense 37 19.3 61 31.8 48 25.0 46 24.0 2.46 1.058
The examination questions are usually difficult 23 12.0 58 30.2 48 25.0 63 32.8 2.21 1.034
Examination time is short to complete the answers 42 21.9 71 37.0 36 18.8 43 22.4 2.51 1.065
Examination times are very stressful to me out 34 17.7 51 26.6 53 27.6 54 28.1 2.34 1.071
Even if I pass my exams, am worried about getting a job 33 17.2 36 18.8 50 26.0 73 38.0 2.15 1.113
Overall mean score 42.86

Table 6.

Correlation matrix showing the relationship between each demographic factor and perceived academic stress of secondary school students

Variables Age Department Class Perceived academic stress
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Age Pearson Correlation 1 - - -
Sig. (2-tailed) - - - -
N 192 - - -
Department Pearson Correlation .104 1 - -
Sig. (2-tailed) .152 - - -
N 192 192 - -
Class Pearson Correlation .211** -.070 1 -
Sig. (2-tailed) .003 .335 - -
N 192 192 192 -
Perceived academic stress Pearson Correlation .144* .140 .090 1
Sig. (2-tailed) .046 .053 .216 -
N 192 192 192 192

Table 7.

Relationship between social media use and perceived academic stress by secondary school students

Variables Mean Std. Deviation N R Df Remarks
Social media use 26.10 9.038 192 -.136 191 Not Sig.
Perceived academic stress 39.68 9.716

Table 8.

Joint contribution of demographics and social media use to perceived academic stress of secondary school students

Model Summary
R R Square Adjusted R Square Std. Error of the Estimate
.256 .066 .046 9.492
ANOVAa
Model Sum of Squares Df Mean Square F Sig.
Regression 1184.278 4 296.070 3.286 .012b
Residual 16847.701 187 90.095 - -
Total 18031.979 191 - - -

Table 9.

Multiple regression analysis showing the relative contribution of demographics and social media use to perceived academic stress of secondary school students

Model Unstandardized Coefficients Standardized Coefficients T Sig.
B Std. Error Beta
Dependent variable: perceived academic stress
(Constant)
Age
Department
Class
Social media use
35.789
1.687
.955
2.988
-.151
4.080
1.409
.875
1.186
.083

.089
.081
.189
-.141
8.772
-1.198
1.092
2.518
-1.824
.000
.223
.276
.013
.070

Influence of demographics and social media use on perceived academic stress of secondary school students

How frequent do you use social media? Please tick as applicable.

S/N Frequency of Use Daily Weekly Monthly Occasionally Never
1. Facebook
2. Google+
3. Twitter
4. WhatsApp
5. YouTube
6. Flickr
7. Snapchat
8. Instagram
9. LinkedIn
10. Messenger

Which of the following purposes do you use social media for? Please tick as applicable.

S/N Purpose of Use Strongly Agree Agree Disagree Strongly Disagree
1. To submit assignments
2. Engage in group discussion
3. Ask questions from teachers
4. To read for exams
5. Watch films
6. Chat with friends
7. Download music
8. Download pictures
9. Meet friends
10. For online dating

Kindly respond to the following statement by ticking [✓] either: Strongly Agree (4), Agree (3), Disagree (2) and Strongly Disagree (1) as appropriate to you.

S/N Items Strongly Agree Agree Disagree Strongly Disagree
1. I am not so confident that I will be a successful student
2. I am not so confident that I will be successful in my future career
3. I find it difficult to make academic decisions easily
4. The time allocated to classes and academic work is not enough
5. I do not have enough time to relax after work
6. My teachers are critical of my academic performance
7. I fear failing some subjects this year
8. I think that my worry about examinations is weakness of character
9. Teachers have unrealistic expectations of me
10. The size of the curriculum (workload) is excessive
11. I believe that the amount of work assignment is too much
12. Am unable to catch up if getting behind the work
13. The unrealistic expectations of my parents stress me out
14. competition with my peers for grades is quite intense
15. The examination questions are usually difficult
16. Examination time is short to complete the answers
17. Examination times are very stressful to me out
18. Even if I pass my exams, am worried about getting a job