performance
A discriminant validity test was performed to ensure the empirical difference of all constructs. For this, it was proposed by Fornell and Larcker ( 97 ) that the variance of the results is supposed to be greater than other constructs. The second indicator of discriminant validity is that the square root values of AVE have a greater correlation between the two indicators. Hair et al. ( 90 ) suggested that the correlation between the pair of predictor variables should not be higher than 0.9. Table 3 shows that discriminant validity recommended by Hair et al. ( 90 ) and Fornell and Larcker ( 97 ) was proved clearly that both conditions are fulfilled and indicates that the constructs have adequate discriminant validity.
Discriminant validity analysis.
Acd. Strs | 0.835 | |||
Fam. Strs | 0.543 | 0.849 | ||
Std. Dep. Lev | 0.622 | 0.583 | 0.827 | |
Std. Acd. Perf | 0.623 | 0.629 | 0.579 | 0.832 |
Acd. Strs, Academic Stress; Fam. Strs, Family Stress; Std. Dep. Lev, Student's Depression Level; Std. Acd. Perf, Student's Academic Performance .
Kaynak ( 98 ) described seven indicators that ensure that the measurement model fits correctly. These indicators include standardized root mean squared residual (SRMR), root means a square error of approximation (RMSEA), comparative fit index (CFI), normative fit index (NFI), adjusted goodness of fit index (AGFI), the goodness of fit index (GFI) and chi-square to a degree of freedom (x 2 /DF). Tucker-Lewis's index (TLI) is also included to ensure the measurement and structural model's fitness. In the measurement model, the obtained result shows that the value of x 2 /DF is 1.898, which should be lower than 2 suggested by Byrne ( 99 ), and this value also meets the requirement of Bagozzi and Yi ( 100 ), i.e., <3. The RMSEA has the value 0.049, which fully meets the requirement of 0.08, as stated by Browne and Cudeck ( 101 ). Furthermore, the SRMR acquired value is 0.0596, which assemble with the required need of < 0.1 by Hu and Bentler ( 102 ). Moreover, according to Bentler and Bonett ( 103 ), McDonald and Marsh ( 104 ), and Bagozzi and Yi ( 100 ), the ideal value is 0.9, and the values obtained from NFI, GFI, AGFI, CFI, and TLI are above the ideal value.
Afterward, the structural model was analyzed and achieved the findings, which give the value of x 2 /DF 1.986. According to Browne and Cudeck ( 101 ), the RMSEA value should not be greater than 0.08, and the obtained value of RMSEA is 0.052, which meets the requirement perfectly. The minimum requirement of Hu and Bentler ( 102 ) should be <0.1, for the structural model fully complies with the SRMR value 0.0616. According to a recommendation of McDonald and Marsh ( 104 ) and Bagozzi and Yi ( 100 ), the ideal value must be up to 0.9, and Table 4 also shows that the values of NFI, GFI, AGFI, CFI, and TLI, which are above than the ideal value and meets the requirement. The above results show that both the measurement and structural models are ideally satisfied with the requirements and the collected data fits correctly.
Analysis of measurement and structural model.
Recommended value | ≤ 3 | ≥0.9 | ≥0.9 | ≥0.9 | ≥0.9 | ≥0.9 | ≤0.08 | ≤0.08 |
Measurement model | 1.898 | 0.9 | 0.91 | 0.914 | 0.91 | 0.91 | 0.049 | 0.0596 |
Structural model | 1.986 | 0.91 | 0.91 | 0.918 | 0.92 | 0.92 | 0.052 | 0.0616 |
The SEM technique is used to examine the hypotheses. Each structural parameter goes along with the hypothesis. The academic stress (Acd. Strs) with the value β = 0.293 while the p -value is 0.003. These outcomes show a significant positive relationship between academic stress (Acd. Strs) and students' depression levels (Std. Dep. Lev). With the β = 0.358 and p = 0.001 values, the data analysis discloses that the family stress (Fam. Strs) has a significant positive effect on the students' depression level (Std. Dep. Lev). However, the student's depression level (Std. Dep. Lev) also has a significant negative effect on their academic performance (Std. Acd. Perf) with the values of β = −0.319 and p = 0.001. Therefore, the results supported the following hypotheses H 1 , H 2 , and H 3 . The sub-hypotheses analysis shows that the results are statistically significant and accepted. In Table 5 , the details of the sub-hypotheses and the principals are explained precisely. Please see Table 6 to review items with their mean and standard deviation values. Moreover, Figure 2 represents the structural model.
Examining the hypotheses.
-value | |||||
---|---|---|---|---|---|
H | Acd. Strs → Std. Dev. Lev | 0.201 | 2.021 | 0.039 | Accepted |
H | Fam. Strs → Std. Dep. Lev | 0.358 | 3.997 | 0.001 | Accepted |
H | Std. Dep. Lev → Std. Acd. Perf | −0.319 | −3.402 | 0.001 | Accepted |
Description of items, mean, and standard deviation.
Mental health has a valuable impact on students' academic learning. | 3.26 | 1.752 |
Academic pressure leads to stress in students' life. | 3.25 | 1.530 |
I have difficulty in understanding basic concepts. | 2.95 | 1.272 |
I have to revise the things again and again to develop an understanding. | 3.14 | 1.352 |
I have lost interest in academic aspects that used to be important for me. | 2.83 | 1.351 |
Family issues leads to stress in students' life. | 3.37 | 1.504 |
Because of family issues I cannot concentrate on my studies. | 3.19 | 1.468 |
I am not able to sleep properly because of family issues. | 3.02 | 1.424 |
Depression negatively affects a student's motivation to learn. | 3.37 | 1.405 |
Unfair treatment by teachers causes academic depression in students. | 3.12 | 1.620 |
Depression has negatively affected my learning capabilities. | 2.99 | 1.280 |
Depression has negatively affected my academic grades. | 3.19 | 1.201 |
Sometimes I don't see value in my life. I feel depressed in the class. | 2.96 2.91 | 1.398 1.310 |
Structural model.
These findings add to our knowledge of how teenage depression is predicted by academic and familial stress, leading to poor academic performance, and they have practical implications for preventative and intervention programs to safeguard adolescents' mental health in the school context. The outcomes imply that extended academic stress positively impacts students' depression levels with a β of 0.293 and a p -value sof 0.003. However, according to Wang et al. ( 5 ), a higher level of academic stress is linked to a larger level of school burnout, which leads to a higher degree of depression. Satinsky et al. ( 105 ) also claimed that university officials and mental health specialists have expressed worry about depression and anxiety among Ph.D. students, and that his research indicated that depression and anxiety are quite common among Ph.D. students. Deb et al. ( 106 ) found the same results and concluded that depression, anxiety, behavioral difficulties, irritability, and other issues are common among students who are under a lot of academic stress. Similarly, Kokou-Kpolou et al. ( 107 ) revealed that depressive symptoms are common among university students in France. They also demonstrate that socioeconomic and demographic characteristics have a role.
However, Wang et al. ( 5 ) asserted that a higher level of academic stress is associated with a higher level of school burnout, which in return, leads to a higher level of depression. Furthermore, Satinsky et al. ( 105 ) also reported that university administrators and mental health clinicians have raised concerns about depression and anxiety and concluded in his research that depression and anxiety are highly prevalent among Ph.D. students. Deb et al. ( 106 ) also reported the same results and concluded that Depression, anxiety, behavioral problems, irritability, etc. are few of the many problems reported in students with high academic stress. Similary, Kokou-Kpolou et al. ( 107 ) confirmed that university students in France have a high prevalence of depressive symptoms. They also confirm that socio-demographic factors and perceived stress play a predictive role in depressive symptoms among university students. As a result, academic stress has spread across all countries, civilizations, and ethnic groups. Academic stress continues to be a serious problem impacting a student's mental health and well-being, according to the findings of this study.
With the β= 0.358 and p = 0.001 values, the data analysis discloses that the family stress (Fam. Strs) has a significant positive effect on the students' depression level (Std. Dep. Lev). Aleksic ( 108 ) observed similar findings and concluded that many and complicated concerns of personal traits, as well as both home and school contexts, are risk factors for teenage depression. Similarly, Wang et al. ( 109 ) indicated that, among the possible risk factors for depression, family relationships need special consideration since elements like parenting styles and family dynamics influence how children grow. Family variables influence the onset, maintenance, and course of juvenile depression, according to another study ( 110 ). Depressed adolescents are more likely than normal teenagers to have bad family and parent–child connections.
Conversely, students' depression level has a significantly negative impact on their academic performance with β and p -values of −0.319 and 0.001. According ( 111 ), anxiety and melancholy have a negative influence on a student's academic performance. Adolescents and young adults suffer from depression, which is a common and dangerous mental illness. It's linked to an increase in family issues, school failure, especially among teenagers, suicide, drug addiction, and absenteeism. While the transition to adulthood is a high-risk period for depression in general ( 5 ), young people starting college may face extra social and intellectual challenges that increase their risk of melancholy, anxiety, and stress ( 112 ). Students' high rates of depression, anxiety, and stress have serious consequences. Not only may psychological morbidity have a negative impact on a student's academic performance and quality of life, but it may also disturb family and institutional life ( 107 ). Therefore, long-term untreated depression, anxiety, or stress can have a negative influence on people's ability to operate and produce, posing a public health risk ( 113 ).
The current study makes various contributions to the existing literature on servant leadership. Firstly, it enriches the limited literature on the role of family and academic stress and their impact on students' depression levels. Although, a few studies have investigated stress and depression and its impact on Students' academic performance ( 14 , 114 ), however, their background i.e., family and institutions are largely ignored.
Secondly, it explains how the depression level impacts students' academic learning, specifically in the Asian developing countries region. Though a substantial body of empirical research has been produced in the last decade on the relationship between students' depression levels and its impact on their academic achievements, however, the studies conducted in the Pakistani context are scarce ( 111 , 115 ). Thus, this study adds further evidence to prior studies conducted in different cultural contexts and validates the assumption that family and academic stress are key sources depression and anxiety among students which can lead toward their low academic grades and their overall performance.
This argument is in line with our proposed theory in the current research i.e., cognitive appraisal theory which was presented in 1966 by psychologist Richard Lazarus. Lazarus's theory is called the appraisal theory of stress, or the transactional theory of stress because the way a person appraises the situation affects how they feel about it and consequently it's going to affect his overall quality of life. In line with the theory, it suggests that events are not good or bad, but the way we think about them is positive or negative, and therefore has an impact on our stress levels.
According to the findings of this study, high levels of depressive symptoms among college students should be brought to the attention of relevant departments. To prevent college student depression, relevant departments should improve the study and life environment for students, try to reduce the generation of negative life events, provide adequate social support for students, and improve their cognitive and coping capacities to improve their mental qualities.
Stress and depression, on the other hand, may be managed with good therapy, teacher direction, and family support. The outcomes of this study provide an opportunity for academic institutions to address students' psychological well-being and requirements. Emotional well-being support services for students at Pakistan's higher education institutions are lacking in many of these institutions, which place a low priority on the psychological requirements of these students. As a result, initiatives that consistently monitor and enhance kids' mental health are critical. Furthermore, stress-reduction treatments such as biofeedback, yoga, life-skills training, mindfulness meditation, and psychotherapy have been demonstrated to be useful among students. Professionals in the sector would be able to adapt interventions for pupils by understanding the sources from many spheres.
Counseling clinics should be established at colleges to teach students about stress and sadness. Counselors should instill in pupils the importance of positive conduct and decision-making. The administration of the school should work to create a good and safe atmosphere. Furthermore, teachers should assume responsibility for assisting and guiding sad pupils, since this will aid in their learning and performance. Support from family members might also help you get through difficult times.
Furthermore, these findings support the importance of the home environment as a source of depression risk factors among university students, implying that family-based treatments and improvements are critical in reducing depression among university students.
The current study has a few limitations. The researcher gathered data from the higher education level of university students studying in Islamabad and Rawalpindi institutions. In the future, researchers are required to widen their region and gather information from other cities of Pakistan, for instance, Lahore, Karachi, etc. Another weakness of the study is that it is cross-sectional in nature. We need to do longitudinal research in the future to authoritatively assert the cause-and-effect link between academic and familial stress and their effects on students' academic performance since cross-sectional studies cannot establish significant cause and effect relationships. Finally, the study's relatively small sample size is a significant weakness. Due to time and budget constraints, it appears that the capacity to perform in-depth research of all firms in Pakistan's pharmaceutical business has been limited. Even though the findings are substantial and meaningful, the small sample size is predicted to limit generalizability and statistical power. This problem can be properly solved by increasing the size of the sample by the researchers, in future researches.
Ethics statement.
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
All authors contributed to conceptualization, formal analysis, investigation, methodology, writing and editing of the original draft, and read and agreed to the published version of the manuscript.
This work was funded by the 2020 Heilongjiang Province Philosophy and Social Science Research Planning Project on Civic and Political Science in Universities (Grant No. 20SZB01). This work is supported by the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy Sciences as part of the research project VEGA 1/0797/20: Quantification of Environmental Burden Impacts of the Slovak Regions on Health, Social and Economic System of the Slovak Republic.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Authors would like to thank all persons who directly or indirectly participated in the completion of this manuscript.
Discover the world's research
September 12, 2024
A new series of reasoning models for solving hard problems. Available starting 9.12
We've developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math. Today, we are releasing the first of this series in ChatGPT and our API. This is a preview and we expect regular updates and improvements. Alongside this release, we’re also including evaluations for the next update, currently in development.
We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes.
In our tests, the next model update performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding. In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%. Their coding abilities were evaluated in contests and reached the 89th percentile in Codeforces competitions. You can read more about this in our technical research post .
As an early model, it doesn't yet have many of the features that make ChatGPT useful, like browsing the web for information and uploading files and images. For many common cases GPT-4o will be more capable in the near term.
But for complex reasoning tasks this is a significant advancement and represents a new level of AI capability. Given this, we are resetting the counter back to 1 and naming this series OpenAI o1.
As part of developing these new models, we have come up with a new safety training approach that harnesses their reasoning capabilities to make them adhere to safety and alignment guidelines. By being able to reason about our safety rules in context, it can apply them more effectively.
One way we measure safety is by testing how well our model continues to follow its safety rules if a user tries to bypass them (known as "jailbreaking"). On one of our hardest jailbreaking tests, GPT-4o scored 22 (on a scale of 0-100) while our o1-preview model scored 84. You can read more about this in the system card and our research post .
To match the new capabilities of these models, we’ve bolstered our safety work, internal governance, and federal government collaboration. This includes rigorous testing and evaluations using our Preparedness Framework (opens in a new window) , best-in-class red teaming, and board-level review processes, including by our Safety & Security Committee. To advance our commitment to AI safety, we recently formalized agreements with the U.S. and U.K. AI Safety Institutes. We've begun operationalizing these agreements, including granting the institutes early access to a research version of this model. This was an important first step in our partnership, helping to establish a process for research, evaluation, and testing of future models prior to and following their public release.
These enhanced reasoning capabilities may be particularly useful if you’re tackling complex problems in science, coding, math, and similar fields. For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.
The o1 series excels at accurately generating and debugging complex code. To offer a more efficient solution for developers, we’re also releasing OpenAI o1-mini , a faster, cheaper reasoning model that is particularly effective at coding. As a smaller model, o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge.
ChatGPT Plus and Team users will be able to access o1 models in ChatGPT starting today. Both o1-preview and o1-mini can be selected manually in the model picker, and at launch, weekly rate limits will be 30 messages for o1-preview and 50 for o1-mini. We are working to increase those rates and enable ChatGPT to automatically choose the right model for a given prompt.
ChatGPT Enterprise and Edu users will get access to both models beginning next week. Developers who qualify for API usage tier 5 (opens in a new window) can start prototyping with both models in the API today with a rate limit of 20 RPM. We’re working to increase these limits after additional testing. The API for these models currently doesn't include function calling, streaming, support for system messages, and other features. To get started, check out the API documentation (opens in a new window) .
We also are planning to bring o1-mini access to all ChatGPT Free users .
This is an early preview of these reasoning models in ChatGPT and the API. In addition to model updates, we expect to add browsing, file and image uploading, and other features to make them more useful to everyone.
We also plan to continue developing and releasing models in our GPT series, in addition to the new OpenAI o1 series.
IMAGES
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Verdiano (1987) described four roles children might adopt. The "hero" typically tries to be a high achiever out of a desire to please the parents rather than out of intrinsic motivation, the "scapegoat" is nonconformist and rebellious and acts out as the catalyst for problems inherent in the family system, the "lost child" tends to be emotionally sensitive and might feel overlooked ...
Family ties have wide-ranging consequences for health, for better and for worse. This decade review uses a life course perspective to frame significant advances in research on the effects of family structure and transitions (e.g., marital status), and family dynamics and quality (e.g., emotional support from family members), on health across the life course.
The quality of family relationships, including social support (e.g., providing love, advice, and care) and strain (e.g., arguments, being critical, making too many demands), can influence well-being through psychosocial, behavioral, and physiological pathways. Stressors and social support are core components of stress process theory (Pearlin ...
A growing share of U.S. husbands and wives are roughly the same age. On average, husbands and wives were 2.2 years apart in age in 2022, down from 2.4 years in 2000 and 4.9 years in 1880. What's new with you? What Americans talk about with family and friends. Nearly seven-in-ten Americans (69%) say they talk to their close friends and family ...
The 'behaviour problems' are having major impact on child's bodily and social development. The family provides emotional support to an individual as well as plays a major role in the formation of one's personality. The quality and nature of the parental nurturance that the child receives will profoundly influence his future development.
Journal of Family Issues (JFI), published 18 times per year, provides up-to-date research, theory, and analyses on marriage and family life.With JFI, you'll also examine professional issues, research developments, and practical applications from an interdisciplinary perspective, encompassing such areas as: Family Studies, Family Violence, Gender Studies, Psychology, Social Work, and Sociology.
V AN A S, N.M.C., & J ANSSENS, J.M.A.M. Abstract. In this study a literature review is presented on the relationship between family functioning and. child behavior problems. We focussed on ...
My approach in terms of "family practices" highlights the ways in which everyday actions and reactions continually constitute family life, while the introduction of the term troubling families adds further levels of complexity to do with the boundaries between public and private. I explore these issues through a fictional example (Terence ...
This study examined the relationship between variables about family members co-residing during the COVID-19 pandemic and anxiety about COVID-19, domestic violence from spouse, child abuse anxiety, internet addiction, and mental health as social problems related to the COVID-19 pandemic. A total of 220 parents (70 male and 150 female, age; M = 41.6, SD = 34.4) were included in the analysis ...
67% 1970 1990 2010 2021. In 1970, 67% of Americans ages 25 to 49 were living with their spouse and one or more children younger than 18. Over the past five decades, that share has dropped to 37%. With the drop in the share of adults living with a spouse and children, there has been an increase in other types of family living arrangements, like ...
PDF | The scientific monograph entitled „Family problems of today" identifies basic views on the functioning of the family as a whole, but also the... | Find, read and cite all the research ...
In the present study, we iden tify four goals in which qualitative methods. benefit researchers: (1) obtaining family me mbers' meanings about family interactions. and relationships; (2 ...
How we did this. Pew Research Center conducted this study to better understand Americans' views of trends in marriage, fertility and family life; the responsibility of family members to support each other; and factors that lead to a fulfilling life. This analysis is based on a survey of 5,073 U.S. adults conducted April 10-16, 2023.
Introduction. The recent decades of family change—including the increases in divorce and separation rates, single parenthood, cohabitation, and step family formation—led to an explosion in popular and academic interest in the consequences of family dynamics for children's well-being and life chances (cf. Amato 2000, 2010; Amato and James 2010; Ribar 2004; Sweeney 2010; McLanahan et al ...
When a family relationship is already positive, there is a foundation of trust and a belief in the other's good intentions, which helps everyone restore more easily from minor ruptures. For this reason, it helps to proactively tend the fabric of family relationships. That can begin with simply building up an investment of positive interactions:
40 Family Issues Research Paper Topics. Studying family issues is often a hard thing to do. A few of us had a perfectly happy family life, so, unfortunately, it is always something we can relate to. Still, this area of research can benefit greatly to the enhancement of psychological climate in many families all over the world. Below are the few ...
Signs of family issues: Difficulty with open, honest, and healthy communication. Frequent fights or bickering. Frequent yelling and screaming. Passive-aggressive behavior. An absent parent or parents (physically and/or emotionally) Abuse of any kind (physical, emotional, and/or verbal abuse)
Results: We found that only 11% of children came from intact families living with biological parents while 89% had some kind of disruption in their family structure. Two-third of the children in the study population had been exposed to trauma with physical abuse seen in 36% of cases. Seventy-one percent had reported either a parent or a sibling ...
This paper discusses and analyzes the effects of family factors on student achievement using a. literature analysis approach, focusing on the effects of family composition, family relationships ...
Family as the basic unit of society plays a big role in the educational aspect of their family members. Although problems are inevitable inability to manage it may affect the behavior and the academic performance of the students. This study aimed to determine the effects of Family Problems to the academic performance of Grade 12 HUMSS Students in Bestlink College of the Philippines.
A recent Pew Research Center report on family issues includes some data on frequency of family meals, taken from a survey of adults last October. Among parents of children under age 18, half say they have dinner every day with some or all of their children, 34% say they have family meals a few times a week, 11% say they do so occasionally and 3 ...
The research set out to explore women's roles in their families and their finances, and the challenges that come from balancing both. Nearly two-thirds of women (64%) in the sandwich generation report that caregiving duties have negatively impacted their ability to save for their financial goals.
Family issues leads to stress in students' life. 3.37: 1.504: Because of family issues I cannot concentrate on my studies. 3.19: 1.468: I am not able to sleep properly because of family issues. 3.02: 1.424: Depression negatively affects a student's motivation to learn. 3.37: 1.405: Unfair treatment by teachers causes academic depression in ...
The study results have. showed that the most important and prominent family problems e xperienced. by the University of Jordan students are: Problems in communication. between family members ...
In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%. Their coding abilities were evaluated in contests and reached the 89th percentile in Codeforces competitions. You can read more about this in our technical research post.