The aim of this study was to examine if perceived family violence of victimized children is related to their perceived aggressive behavior. It has been acknowledged that children learn and behave what they observe and practice including violence. A stratified random sample (N =1160) of Omani school students was drawn from grades 6 to 9. The study used perceived family violence and perceived aggressive behavior measures to collect data. CFA was performed to test the proposed factor structure as well as the structural model. The invariance test lent support to the hypothesis that the structure of constructs is invariant across gender. However, the relations between constructs were not invariant. Children (boys and girls) who expressed high verbal violence on them reported they were more verbally and physically aggressive. Boys, but not girls, who reported high physical violence on them reported they were more verbally and physically aggressive. The relation between perceived family violence and perceived aggressive behavior seem to be dependent on gender and types of family violence as well as the kind of children’s aggressive behavior.

This study was conducted to explore the five-factor structure of the Need for Closure scale on Indian samples using exploratory and confirmatory factor analysis. Data were initially collected from 450 samples which were reduced to 235 cases later based on the lie score criteria of the Need for Closure Scale. To rule out the problems caused by all questionnaire items like low reliability and low communalities, parceling of the items (creating three parcels from each facet) was done before the multivariate analysis (EFA and CFA). In the results, EFA showed that the five-factor structure of the NFC scale explains 52% of the variance. The goodness of fit statistics in the CFA model met the criteria (χ2 = 190.153, GFI = 0.908, TLI = 0.855, CFI = 0.890, RMSEA = 0.077) for the reasonable fit of the single factor structure of the NFC construct. In conclusion, this study presented the good psychometric properties of the NFC scale. It can be used to assess the individual's need for closure in the wider contexts of Indian studies.

The Coronavirus disease (COVID-19) pandemic has affected people in multiple dimensions. In addition to the social, physical health, financial, and mental health impacts of the pandemic, many United States (U.S.) college students experienced an abrupt transition to online learning in Spring 2020, resulting in a significant disruption to their learning and life. In this study, we examined COVID-19 impacts as reported by college students enrolled in an online class in Spring 2020 via an extra-credit survey. Participants reported predominantly negative impacts, but positive impacts were also reported. A total of 61 aspects of impact were identified reflecting six major themes: academic, housing and travel related, physical health-related, financial and work-related, social life, and mental health related impacts. We found that females reported significantly more overall negative impacts and significantly more academic and housing/travel related impacts than males. Black students reported significantly fewer positive impacts compared to non-Black students in the sample. Asian students reported significantly more academic impacts than White students. In addition, participants in the fully online degree program had significantly fewer overall impacts and significantly fewer academic impacts than those in the residential degree program. Implications of the findings were discussed.

At the beginning of primary school, young children need to adapt academically, socially, and emotionally to their new school environment. Enjoying going to school and becoming socially integrated are important preconditions for successful learning. However, children from disadvantaged families have fewer resources and receive less support, and such deficits can result in lower attainment, negative emotions, and lower well-being. In recent years, interest in emotions and well-being in school has grown in educational research. However, studies analyzing the affective characteristics of disadvantaged students, especially in primary school, are still scarce. In this study, we analyzed reciprocal relationships between school enjoyment, social integration, and achievement using cross-lagged structural equation modeling (Grades 1 and 2), while controlling for family background and sex. We used data from the National Educational Panel Study in Germany (NEPS; N = 4,986). Results showed positive effects of school enjoyment on achievement and social integration on school enjoyment. Additionally, a better home learning environment had positive effects on school enjoyment and social integration in Grade 1. Effects of socioeconomic and migration background on school enjoyment and social integration were not significant. Our results show no evidence that educationally disadvantaged students are additionally disadvantaged in their school enjoyment or social integration at the beginning of primary school.  

The aim of the present study is to conduct a confirmatory factor analysis (CFA) of the Rosenberg Self-esteem Scale (RSES) as part of the study of affective variables using a sample of English as a foreign language (EFL) university students in Morocco. Two hundred and six (N = 206) participants of undergraduate, graduate, and post-graduate levels completed the self-esteem (SE) questionnaire. Using classical methods of factor extraction before employing more robust techniques comprising minimum average partial (MAP) and parallel analysis (PA) to perform preliminary factor analysis (FA) using principal axis factoring (PAF), results conclusively and parsimoniously yielded a one-factor solution with acceptable construct reliability (Composite Reliability). CFA results, including goodness-of-fit indexes, confirmed that the one-factor model was better fitting compared to its competing independent two-factor counterpart, but marginally less so compared to the correlated version of the latter. Two out of the three constructed models showed good fit indexes, thus demonstrating the conformity of two measurement models with their respective hypothesized structural models. Furthermore, using the heterotrait-monotrait (HTMT) ratio, both two-factor models showed acceptable discriminant validity. The obtained results further corroborate both the one-factor and two-factor solutions reported in previous works for which we present new evidence from a Moroccan EFL context.

One of the life areas under the impact of the COVID-19 pandemic is university education. As it becomes more prevalent with its various versions, it shapes undergraduates' psychological well-being profoundly. It is necessary to understand how COVID-19-related stress impacts their mental life. The purpose of the study was to examine whether COVID-19 burnout and cognitive emotion regulation had mediating roles in the relationship between COVID-19-related stress and life satisfaction. Three hundred sixty-four Turkish undergraduates participated in the study. Mediational analyses showed that both adaptive and maladaptive cognitive emotion regulation had interplaying roles in the link between COVID-19-related stress and life satisfaction, unlike COVID-19 burnout. Yet, COVID-19-related stress indirectly affected life satisfaction since COVID-19 burnout increased maladaptive cognitive emotion regulation strategies while decreasing adaptive ones concurrently. The findings are crucial for mental health professionals whose aim is to develop necessary psychological interventions for undergraduates to increase their life satisfaction levels during the COVID-19 pandemic.

Online trolling is online behavior in which the troll provokes, harms, and pretends to be someone else to achieve their goals. The purpose of trolls may be to harm the other person, but they can also be for entertainment purposes. Online trolling, for whatever purpose, can have significant psychological effects on individuals and people who are socially exposed. In addition, online trolling is becoming more common every day. However, there are very few studies on trolling. Therefore, the study aims to examine the mediating role of empathy in the relationship between dark triad personality traits and levels of online trolling. For this purpose, structural equation modeling and bootstrapping method was used. The participants comprised 516 (%71.6 females; %28.4 males) undergraduates. The ages of the participants ranged from 18 to 31 (X̄ = 21.09). The measures used included the Online Trolling Scale, Dirty Dozen Scale, and Toronto Empathy Questionnaire. In the study, it was found that there were significant relationships between the dark triad, online trolling, and empathy. Also, the results of the structural equation model showed that the effect of the dark triad on online trolling was mediated by empathy. This result was found to be significant with bootstrapping.

Previous research focused on individuals’ background, contexts and cognitive performance in education, work, and life. Given the increasing number of people living alone temporarily, the question arises whether the frequent use of skills, including social skills, relates to individuals’ later positively self-evaluated skills and social lives. Based on an integrated framework, the current analysis aimed to disentangle these relationships with longitudinal data from Germany over three years. The target sample consisted of n = 3263 working adults. A Bayesian structural equation model included adults’ frequent use of skills, self-evaluated skills, household size, close friends, and seven covariates (e.g., numeracy and literacy test scores, weekly working hours. The results suggested positive relationships between adults’ frequent use of numeracy, literacy, and social skills and later self-evaluations (except literacy used on self-evaluated numeracy). Those who less frequently used social skills three years earlier were also less likely to have a larger household size than those who reporting frequently using their social skills. Adults who frequently used literacy skills three years earlier reported higher numbers of close friends than those who less frequently used literacy. The findings highlight the importance of adults’ social skills and frequently used skills for self-evaluated numeracy and literacy.

Due to the notably increased penetration of smartphone use among university students and the alarming risk it poses to both physical and mental health, this study investigated mobile phone addiction among university students concerning student characteristics, mobile phone usage behaviors, and mobile phone use purposes and situations. The participants of this study were 600 university students, who were selected according to the convenience sampling method from different departments in Türkiye. The data were collected using the student characteristics form and the Mobile Phone Addiction Scale. The correlational research method was followed in the study. The data were analyzed using descriptive and inferential statistics. The results showed that students clustered as addicted and non-addicted had different mobile phone use behaviors on account of daily smartphone use duration, internet use duration on a smartphone, and daily smartphone check frequency. Being a female at a lower grade level and using mobile phones mostly at night made students more vulnerable to mobile phone addiction. Additionally, the results indicated a significant positive moderate correlation between internet use duration, daily smartphone use duration, daily smartphone check frequency, and mobile phone addiction scores. Lastly, checking social media apps, messaging, and editing photos significantly contributed to mobile phone addiction scores. Among the mobile phone use situations, when getting bored, during lessons, when watching TV or movies, and when being alone significantly contributed to mobile phone addiction scores. This study provided a thorough discussion and a set of recommendations.  

Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be very challenging for most newcomers to conduct MMA using R. If this holds, this can be viewed as a practice gap. In other words, the practice gap is that researchers are not capable of using R to conduct MMA in practice. This is problematic. This paper alleviates this practice gap by illustrating how to use R (the metaSEM package) to conduct MMA on educational psychology data. Here, the metaSEM package is used to obtain the required MMA text outputs. However, the metaSEM package is not capable of producing the other required graphical outputs. As a result, the metafor package is also used as a complimentary to generate the required graphical outputs. Ultimately, we hope that our audience will be able to apply what they learn from this method paper to conduct MMA using R in their teaching, research, and publication.

This study aimed to validate the Learned Helplessness Questionnaire (LHQ), originally developed in Italy, for use in an American context. It examined the LHQ's factor structure, social desirability bias, the relationship between learned helplessness and mastery orientation, and demographic differences in these constructs. Data from 100 adults were collected via an online survey. Confirmatory factor analysis supported the two-factor structure of the LHQ (learned helplessness and mastery orientation), with acceptable fit indices after minor modification. Internal consistency was deemed to be acceptable for both factors. Social desirability bias analysis indicated significant correlations with both constructs, suggesting that participants may have overreported mastery orientation and underreported learned helplessness. A significant negative correlation was found between the two constructs, with participants generally reporting higher levels of mastery orientation. No significant differences were observed across gender or age groups. These findings contribute to the cross-cultural validation of the LHQ, highlighting the importance of social desirability bias in self-reported measures and suggesting potential areas for refinement.