( = 111, 57.5%)
Note . a Received financial aid from school or government.
2.2.1. online activities.
Following the findings of Carlson’s study [ 47 ], online activities were assessed by eight items focusing on three areas: information searching (two items, “google search”, “chatroom”, Cronbach’s alpha = 0.67), entertainment (four items, “watching YouTube ”, “download software”, “online gaming”, “online shopping”, Cronbach’s alpha = 0.70), social interaction (two items, “social media platforms”, such as “ Instagram , Facebook , Snapchat ” and communication, such as “email, WhatsApp , WeChat ”, Cronbach’s alpha = 0.75). Participants rated on a five-point scale, ranging from 0 (never) to 5 (more than seven times per week), with high scores indicating high levels of engagement in a specific type of online activities.
The 10-items Rosenberg self-esteem scale [ 64 ] was adopted to measure students’ perceived self-esteem. Participants rated on a four-point scale, ranging from 1 “strongly disagree” to 4 “strongly agree”. A higher overall score indicates a higher level of self-esteem. An example item “I take a positive attitude toward myself”. The present sample showed an acceptable internal consistency (Cronbach’s alpha = 0.78).
This study was approved by the university’s Institutional Review Board. Students anonymously completed a paper-and-pencil-based questionnaire with demographic information (e.g., age, gender, place of birth, receiving financial aids) after obtaining the informed consent from the school principals, teachers and parents. In general, it took around 15 min to complete the questionnaires.
Descriptive statistics and correlations among the main variables were computed via IBM SPSS 28.0 version. Independent t -test and chi-square preliminary test were performed to assess the relationship between independent variables and dependent variables. Then, path analysis was conducted to investigate the moderating role of gender on the relationships between online activities and self-esteem using Mplus 8.7 version. Past studies [ 65 , 66 , 67 , 68 ] showed the effects of age and socio-economic status on SNS use, therefore they were included in the analyses as covariate. Missing data were less than 1%. Prior to path analysis, normality of all observed variables is assessed. Results showed that the data are normally distributed (skewness and kurtosis between −2.0 to 2.0) [ 69 ], therefore maximum likelihood (ML) was used to estimate the model ( Table 2 ). To evaluate the model fit, several indices were used, including the Chi-square values ( χ 2 ), the comparative fit index (CFI), the Tucker–Lewis fit index (TLI), the root mean square error of approximation (RMSEA) and the standardized root-mean-square residual (SRMR). Researchers noted that CFI and TLI above 0.90 and RMSEA and SRMR below 0.08 indicated a good model fit [ 70 ].
Descriptive statistics and correlations of all variables.
Variable | Skewness | Kurtosis | α | 1 | 2 | 3 | 4 | ||
---|---|---|---|---|---|---|---|---|---|
1. Information searching | 2.43 | 1.35 | 0.118 | −0.844 | 0.67 | - | |||
2. Social interaction | 3.64 | 1.51 | −0.780 | −0.662 | 0.75 | 0.54 ** | - | ||
3. Entertainment | 2.45 | 1.06 | 0.034 | −0.156 | 0.70 | 0.54 ** | 0.42 ** | - | |
4. Self-esteem | 2.71 | 0.45 | 0.198 | 0.114 | 0.78 | 0.04 | 0.07 | −0.01 | - |
** p < 0.01.
Results of chi-square tests of independence and independent t -test showed no significant gender differences regarding their demographic and family background, except in age ( p < 0.05, Table 1 ). Descriptive statistics and correlation coefficient among the variables were shown in Table 2 . First, all online activities were moderately related, ranging from 0.42 to 0.54. Second, overall internet use and different types of online activities were not significantly related to self-esteem ( Table 2 ). Results of independent t -test showed no significant gender differences in all variables, except in entertainment online activities ( p < 0.05, Table 3 ). This indicates females were more likely to use social media for entertainment purpose than males while both genders shared similar usage patterns in other online activities.
Gender differences among all variables.
Variable | Male | Female | Cohen’s | ||||
---|---|---|---|---|---|---|---|
Information searching | 2.45 | 1.35 | 2.41 | 1.37 | 0.19 | 169 | 0.03 |
Social interaction | 3.47 | 1.48 | 3.85 | 1.54 | −1.64 | 169 | −0.25 |
Entertainment | 2.60 | 0.98 | 2.25 | 1.16 | 2.17 * | 153 | 0.33 |
Self-esteem | 2.73 | 0.46 | 2.67 | 0.42 | 0.94 | 174 | 0.14 |
* p < 0.05.
Confirmatory factor analysis (CFA) was performed to test the factor structure of the measures. The factor structure of three types of online activities ( χ 2 = 34.677, df = 16, p < 0.01; RMSEA = 0.079 (CI = 0.042–0.115); SRMR = 0.051; TLI = 0.905; CFI = 0.946) and self-esteem ( χ 2 = 44.69, df = 15, p < 0.01; RMSEA = 0.069 (CI = 0.026–0.108); SRMR = 0.046; TLI = 0.941; CFI = 0.968) fit the data well. The reliability of one of the online activities (information searching) was somewhat low (α = 0.67) but can still be considered as acceptable (Cronbach α = 0.70) [ 71 ]. In general, the reliability of both scales reached at an adequate level, ranging from 0.67 to 0.78.
To test the moderating role of gender on the relations between online activities on self-esteem, path analysis was conducted. Following the suggestions by Dearing and Hamilton [ 72 ], all predictors were standardized to reduce the chance of multicollinearity. Gender ( β = −0.52, p < 0.01) and its interaction effect with social interaction ( β = 0.53, p < 0.01) were significantly related to self-esteem when controlling for age and socioeconomic status ( χ 2 = 0.00, df = 0, p < 0.01; CFI = 1.0; TLI = 1.0; SRMR = 0.00; RMSEA = 0.00). All antecedent variables explained 13% of the variance in self-esteem, suggesting that three different types of online activity and gender explained 13% of the variance in self-esteem ( Table 4 ).
Standardized coefficients of path analysis.
Estimate | ||
---|---|---|
Gender → self-esteem | −0.52 ** | 0.17 |
Information searching → self-esteem | −0.06 | 0.11 |
Social interaction → self-esteem | 0.04 | 0.11 |
Entertainment → self-esteem | 0.04 | 0.12 |
Information searching X Gender → self-esteem | −0.05 | 0.19 |
Social interaction X Gender → self-esteem | 0.53 ** | 0.20 |
Entertainment X Gender → self-esteem | −0.11 | 0.22 |
0.13 ** |
Three univariate analyses of covariance (ANCOVAs) were performed to test the differences in online activities among participants of different demographic (i.e., gender) and psychological characteristics (i.e., self-esteem) while controlling for age and socioeconomic status. Results of ANCOVAs revealed a significant gender difference in the relation between social interaction use of SNS and self-esteem, F (1,1818) = 4.385, p = 0.04, η2 = 0.02). The effect size of this difference was small [ 73 ]. While no significant difference was found in other online activities (information searching: F (1,1178) = 0.414, p > 0.05; entertainment: F (1,1180) = 2.284, p > 0.05). Results demonstrated that females were likely to engage in social interaction activities and reported high self-esteem; while males reported lower levels of engagement in social interaction activities and self-esteem ( Figure 2 ).
The moderating effect of gender on the relationship between social interaction of SNS use and self-esteem.
The purpose of the present study was to test the moderating role of gender on the relationship between SNS use and self-esteem. First, a significant interaction effect of gender X SNS on self-esteem was found. Specifically, females were more likely to engage in online social interaction activities and reported higher self-esteem compared to their male counterparts. This was consistent with the past findings consistently showed that females were more addictive to social media use [ 74 , 75 ] and gain online social popularities [ 76 ] than males. Empirical evidence shows that social motive was a significant predictor to social media addiction [ 77 ]. Perhaps, females may benefit from SNS use with the intention to satisfy their social needs, and thus reported higher self-esteem. This is in line with research showing the positive outcomes of the SNSs use, such as psychological well-being [ 78 , 79 ] and academic experiences [ 80 ]. Clearly, future research should explore whether satisfaction of social needs is associated with SNSs use, and how this relation differs by gender and other predisposing factors, e.g., personality, social skills.
Contrary to the past research, the relations between different online activities and self-esteem are not significant. This might be related to students’ characteristics. The present study involved students who were mostly from low school banding (i.e., students with low academic abilities) [ 81 ]. In particular, they were from low socio-economic status families (over 60% received financial aids) and studied in the two districts, Tuen Mun and Yuen Long, with the highest poverty rates [ 82 ]. Past studies show the influence of socio-economic status on the linkage between the SNS use and well-being [ 52 , 83 ] and self-esteem [ 41 , 67 ]. Perhaps, their family background may be a stronger predictor of self-esteem compared to SNS use. Given the prevalence of SNS use, researchers argued that other potential factors (e.g., online social comparison, personality, nature of SNS use) may be more influential in predicting individual well-being [ 18 , 84 , 85 ]. Future research should investigate how these factors moderate the relationships between online activities and self-esteem.
Another explanation of these unexpected results may be related to the social network size. Lim et al. [ 86 ] found that the negative effects of SNS use on self-esteem was significant only when social network size (less than 150 individual) was small. Young adults and adolescents are frequent SNS users who consider this as part of their daily life. As such, it is not surprise they have a larger social network compare to other population group. In particular, they might not be able to distinguish between “ real ” and “ virtual ” friendship [ 87 ]. This has been confirmed by Apaolaza et al. [ 88 ] who found that the effects of SNS use on social self-esteem were mediated by the quality of online interpersonal relationships among a sample of Spanish adolescents. Future research may explore the role of social network size regarding the relationship between SNS use and self-esteem.
The present study extends the literature by showing the moderating role of gender on the relationships between online activities and self-esteem. It demonstrates the impact of online activities may depend on “gender”, despite its small effect as shown in the present study. This contributes to the notion on the well-being effects of internet use by considering the participants’ demographic background (e.g., gender). As the internet can provide access to information and social resources, students are likely to use this medium to build social capital, satisfy their social needs and compensate their real-life social relationships by gaining positive feedback and popularity in this virtual context [ 22 , 89 ]. Educators may need to pay more attention to this group who are more susceptible to peer pressure [ 90 ] and use social media to receive social validation [ 45 ].
One uniqueness of the present study is that it measured different types of online activities. This certainly serve as a positive response to the researchers’ call for the need to capture various online activities and its impacts on adolescent well-being [ 30 ]. Intervention programs targeting the proper use of SNS among adolescents can be noted in the present study. Educational effort should be implemented for promoting internet literacy, such as negative and positive communication on SNS platforms.
The present study extends the literature by showing the moderating role of gender on the relation between SNS use and self-esteem. Nowadays, adolescent consider SNS as a salient source to obtain social attention and support [ 91 ]. They tend to gravitate towards SNS in order to constantly stay connected with their “ friends ”. It is noteworthy that different SNS use explain a moderate amount of variance (i.e., 13%) in self-esteem. This is consistent with past work by Hawi and Samaha [ 92 ] who compared gender differences in the relationships between SNSs use and self-esteem (below 10%) among university students in Lebanon. To capture a deeper understanding of mechanism between SNS use and well-being, Saiphoo et al. [ 24 ] argued that “ Frequency of SNS use may not be a nuanced enough measure ” (p. 9). Future investigation may explore how these relations differ by the nature of SNS use. Past research found that the impact of SNS use depends on whether individuals are actively or passively engaging with social media content [ 93 , 94 ]. Additionally, more research is warranted to explore how other factors, such as fear of missing out [ 95 ] and effortful control [ 13 ], are associated with SNS use and self-esteem.
The present study has some limitations. First, a cross-sectional design has been adopted. Therefore, causal inferences about the linkage between online activities and well-being cannot be inferred. Future research may employ experimental or longitudinal design to demonstrate causal evidence. Second, the sample size of the present study was relatively modest ( N = 193). Yet, the findings were robust as the fit statistics show satisfactory results. Third, findings were based on self-report measures, which might be influenced by social desirability, although confidentiality and anonymity have been highlighted during the data collection process. Lastly, the data were collected based on adolescents. Findings may not be generalized to other populations (e.g., adults, elderly).
The present study demonstrates how gender moderates the relation between online activities and well-being. Given the prevalence of the SNSs in our daily life, more research in this area is warranted to help us understand how SNSs relate to health and psychological well-being.
The author would like to express her sincere gratitude to the schools, teachers and students who participated in the study.
This research was funded by the Quality Education Fund of the Education Bureau, Hong Kong SAR (under project number: EDB/QEF/2017/0441).
The study was approved by the institutional review board of The Hong Kong Polytechnic University (approval number: HSEARS20181105002).
Informed consent was obtained from school, parents and participants.
Conflicts of interest.
The author declares no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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1. Introduction. In the last decade, the popularization of the Internet and the use of the smartphone and the emergence of real-time location-based dating apps (e.g., Tinder, Grindr) have transformed traditional pathways of socialization and promoted new ways of meeting and relating to potential romantic and/or sexual partners [1,2,3,4].It is difficult to know reliably how many users currently ...
Sex-search and self-esteem enhancement are predictors of problematic use of online dating. Previous research coincides with online dating risks (e.g. fear of deception) and objectification tendency due to online dating services (sites and apps) design. Observations regarding methodological weaknesses and future research implications are included.
Self-esteem is defined by Rosenberg, (1965) as "the positive or negative attitudes that a person has about himself.". In a study by Kim, Kwon and Lee (2009), they evaluated three characteristics of users of online dating platforms, namely: self-esteem, involvement in romantic 125 frelationships and sociability.
self-esteem or se lf-worth suffering negatively, as a result of online dating. The purpose of this study will serve as additional information and research in a field that is ste adily growing in ...
self-esteem score of 9.24, while their body image score was 10.05. On the other hand, non-dating app users scored an average of 7.41 in self-esteem and 10.28 in body image. These results suggest ...
Sex-search and self-esteem enhancement are predictors of problematic use of online dating. Previous research coincides with online dating risks (e.g. fear of deception) and objectification tendency due to online dating services (sites and apps) design. Observations regarding methodological weaknesses and future research implications are included.
Introduction. Online dating refers to the use of websites and mobile applications for finding romantic partners for short- and long-term relationships [1].Having started as a niche practice in the 1990's, online dating has now entered the mainstream [2], recently becoming the most popular venue for meeting relationship partners in the U.S [3].As of 2020, 30% of Americans had used a dating ...
atic use of online dating, resulting in 43 studies. Findings suggest that personality correlates such as neuroticism, sociability, sensation-seeking, and sexual permissiveness are related to greater use of online dating services. Sex-search and self-esteem enhance-ment are predictors of problematic use of online dating. Previous research ...
1. Introduction. The development of online dating has grown considerably in recent years and has changed the way some people interact with potential new romantic and/or sexual partners, especially after the emergence and popularization of dating apps [].In fact, different studies have shown that around 40% of single adults are looking for an online partner [] or that about 25% of new couples ...
DekkersDr. P.M. ten KloosterJanuary 25th, 2021AbstractOnline da. ing has become increasing. y popular in today's society. However, its positive andnegative impact on use. s' well-bein. current cross-sectional study aimed to examine if the frequency of usage of online dating. g, with low frequency usage assumed to be associated withhig.
the fact that self-esteem has a crucial role in determining partner choices offline, little is known about the role self-esteem has when it comes to online dating. Therefore, the current paper focuses on online dating with a specific focus on self-esteem and body image. In the
Paper 889. This study explores online dating by studying the relationship between self-disclosure and self-efficacy in an online dating environment. This research study examines the way self-disclosure, self-efficacy, self-esteem, and gender interrelate in an online dating environment. This study includes, but is not limited to, discussion of ...
2.1. Design. The study consisted of real-time self-reported repeated measures collected using a newly developed smartphone app (i.e., DiaryMood) in which participants responded to questions regarding the following areas three times a day: (i) mood, (ii) self-esteem, and (iii) craving (i.e., in the morning, afternoon, and evening).In addition, participants included their daily use of dating ...
Research Article Summary Online dating sites frequently claim that they have fundamentally altered the dating landscape for the better. This article employs psychological science to examine (a) whether online dating is fundamentally different from conventional offline dating and (b) whether online dating promotes better romantic outcomes than ...
Future research using a dating app paradigm could also experiment with the dosage of matches. Since a single intervention could have been too weak to affect state loneliness, future research should repeatedly provide dating app feedback. Prolonged exposure would also allow researchers to observe how participants cope with peer feedback over time.
While our understanding of mobile dating is growing, this body of research has at least three limitations. First, with the exception of the study of the Pew Internet Research Center (Smith, 2016) among 2001 US adults, the studies in this area have used convenience samples.Second, the majority of studies has not specifically looked at young adulthood as a key developmental stage to understand ...
Swipe-Based Dating Applications (SBDAs) function similarly to other social media and online dating platforms but have the unique feature of "swiping" the screen to either like or dislike another user's profile. There is a lack of research into the relationship between SBDAs and mental health outcomes. The aim of this study was to study whether adult SBDA users report higher levels of ...
Online Deception is growing as a topic of research due to its potential risks for mental health and behaviors. This study explored the relationships between attachment styles and intentional misrepresentation of oneself in online dating (i.e., online deception) and investigated the mediating role of self-esteem.
0.18 or lower for self-esteem and the scores for app usage, dating behaviour and tinder intensity [13]. A study by Tran et al. of almost 1800 adults found that dating application users were significantly more likely to engage in unhealthy weight control behaviours (such as laxative use, self-induced vomiting and use of anabolic
The aim of this study was to investigate the connection of problematic online dating (POD), problematic social media (PSM), and problematic online sexual behaviors (POSB), with body esteem and sexuality. Previous research focused either on the impact of media on body esteem, or the impact of body esteem on sexuality. Yet, online media tends to be sexually self-objectifying, requiring more ...
Abstract. Online dating received a recent upsurge since the outbreak of pandemic with most people confining themselves to virtual dating. This paper conceptualizes and draws conclusion from the ...
Profiles in the widely used phenomenon of mobile online dating applications are characteristically reduced to condensed information mostly containing one or a few pictures. Thus, these picture(s) play a significant role for the decision-making processes and success, supposedly holding vital meaning for the subjects. While profile pictures in social media are omnipresent and some research has ...
Online dating may be partially to blame for an increase in income inequality in the US in recent decades, according to a research paper.. Since the emergence of dating apps that allow people to ...
Self-esteem is described as an individual's overall evaluation of his or her own worth . A growing body of research suggested that self-esteem is an important predictor of well-being [7,8] and life satisfaction . The impact of self-esteem on well-being is further supported in meta-analyses [10,11].
Purposive sampling was employed for selecting 274 young individuals to participate in this cross-sectional research. Data was collected from an online survey using Test of Orthorexia Nervosa-17, generalized anxiety disorder-7, Rosenberg self-esteem inventory, and eating attitude test-26.