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Lifespan Development

10.4 Social Contexts in Adolescence

Lifespan Development10.4 Social Contexts in Adolescence

Learning Objectives

By the end of this section, you will be able to:

  • Describe the role of peers in social development
  • Describe the role of romantic relationships and dating in adolescence
  • Discuss the influence of various media on adolescent development
  • Describe the context of education and trends in academic achievement across adolescence

Seventeen-year-old Jasmine has been looking forward to the big school dance two weeks from now. She is particularly excited because this is the first time she is going with a date rather than with friends. She met her date while hanging out with mutual friends over the summer. Aside from a shared interest in art and sci-fi movies, they connected over their shared experience of being neurodiverse. Their friendship has grown into a more intimate relationship, and they recently kissed for the first time. This dance will be the first time their classmates will see them as a couple, and Jasmine’s excitement is mixed with a bit of pride and concern: “What will everyone think of the two of us together? Will they wonder if we’re a good match? What will we do after the dance?” She wonders whether she’s ready to commit to this person, to share her hopes and plans and fears with them. And she worries about whether there are unspoken expectations for getting more physically intimate; she doesn’t feel ready for more yet. Nevertheless, she is eager to see what new experiences lie ahead (Figure 10.9).

Photo of a smiling adolescent sitting on a blanket outside reading, while another smiling adolescent rests their head on their lap and looks at their phone.
Figure 10.9 Romantic relationships are an important component of identity development during adolescence. (credit: modification of work “Parallel Play Portrait” by Gritchelle Fallesgon/Disabled And Here, Public Domain)

Many parts of development are informed by our own and others’ expectations based on the various social contexts in our lives. These include peers, friends, intimate relationships, plus the contexts of media and education. A key part of healthy adolescence is exploring and developing one’s identity across these contexts.

Peer Influences on Development

Brain development in adolescence supports a heightened interest in peers and other social cues, and an increased sensitivity to the rewards they can offer. The sophisticated new skills that come with these cognitive developments allow teens to apply increasingly advanced reasoning about social experiences, including hypothetical ones like, “Everyone is watching” (Elkind’s concept of the imaginary audience). Recall also that one of the many developmental tasks facing adolescents is a gradual turning outward from the family and toward society at large (Havighurst, 1973; Manning, 2002). Peers and peer relations become a transitional force allowing adolescents to do just that (Brown & Larson, 2009; Rubin et al., 2006).

Against the backdrop of these developments, society also purposefully restructures the environment of adolescents, who spend one-third or more of each weekday in school where they interact with their peers almost every day. Adolescence, then, is a time of heightened sociability, often beyond the direct supervision of parents or other adults. Through friendships as well as membership in peer groupings of different sizes, adolescents build and maintain a reputation, gain status within the larger group, and climb the social ladder.

Friendships

A friendship is an intimate, emotionally close relationship between two individuals (Brown & Larson, 2009). Friendships form based on similar interests such as music or sports and may dissipate if those interests change over time. However, as adolescence progresses, and as individuals actively explore and form their identity, friendships tend to become more stable and enduring. Intimacy is a key feature of friendship, and in a psychological sense it means making ourself vulnerable to another.

Especially in early and midadolescence, friendships can be exclusive and intense, relying on trust and mutual support. Later in adolescence, this intensity is often transferred to a romantic relationship (Costello et al., 2023; Wesche et al., 2023). Research in multiple countries has consistently found that males tend to share personal information with a single best friend, whereas females tend to disclose evenly among their close friends (Ko et al., 2015; Kitts & Leal, 2021). However, it does vary. For example, male students at a Japanese university reported sharing more personal information with close friends than female students did (Fankhauser, 2018). This was true overall and for specific topics. The study used two different measures of self-disclosure, both showing similar results, especially in cross-gender friendships. It also found that feeling close to a friend and trusting the friendship's stability were linked to more self-disclosure (Fankhauser, 2018). These findings highlight the role friendships serve: adolescents switch some of their needs for social and emotional support from their parents to close friends, and in turn these needs for intimacy are also brought into romantic relationships later on.

Cliques

A close group of three to a dozen or so friends is called a clique (Brown & Larson, 2009). Cliques serve many functions for developing adolescents. First, they break the larger social environment into one of more manageable size and offer a context in which much socialization (“hanging out”) occurs, both within and outside the school setting. They also provide a source of emotional support for members, as well as a sense of belonging and encouragement (McFarland et al., 2014). For example, a group of close-knit friends in a clique who share similar interests, such as skateboarding or a science club, can be there to listen and offer advice during challenging times. When a teen is stressed about an upcoming exam, their clique might organize a study session to help all members prepare, boosting both academic performance and emotional well-being. And they can offer encouragement and celebrate each other's successes, such as cheering on a member at a competition or congratulating them on a good achievement in the classroom.

An analysis of adolescents from about 170 secondary school classrooms asked students to identify the cliques in their school and nominate peers as members of each (Pattisellano et al., 2015). First, the study found the average size of a clique was just shy of six members (5.72, to be exact). Second, researchers discovered that some cliques have a status hierarchy, while others are more equality driven, or egalitarian (Pattisellano et al., 2015). Peer status matters in the larger social context of the adolescent world because both aggression and prosocial (helping) behavior are related to social standing. Thus, being a member of a higher-status clique could offer protection against aggression from others, while being a member of a low-status clique could be disadvantageous.

The term relational aggression refers to the practice of including or excluding others or otherwise threatening a sense of belonging such as by spreading gossip. It was associated more with egalitarian cliques. This makes sense, though; one purpose of a social hierarchy is to spell out exactly where everyone stands in relation to one another. In an egalitarian group this is not as easy to discern, and when members are striving for status, an increase in aggression can result. More prosocial behavior toward other members was found within hierarchical groups, as was increased aggression toward other cliques (Kwon & Lease, 2007, Zhao & Li, 2022). This result shows both the function and the power of cliques—to support those within the group, and to advocate for social standing against other groups.

Crowds

A larger social grouping in the social milieu of adolescents is called a crowd, and it can have many dozens of members, not all of whom are necessarily friends or even know each other. Crowds can be made up of different cliques and often form around various activities, interests, aspects of youth culture (such as anime), or members’ personality characteristics, social status, or reputation (Brown & Larson, 2009) (Figure 10.10). Common crowd names in U.S. high schools include “populars,” “jocks,” “brains,” and “normals” (Crabbe, et al., 2019). The names of crowds may change, but the presence of these common themes in crowds has been around for quite some time.

Photo of (a) two individuals looking at a computer, (b) five laughing individuals walking down a street, and (c) a crowd.
Figure 10.10 (a) Friends, (b) cliques, and (c) crowds are important groups in teen development. (credit a: modification of work “Friends working on a computer” by “antoinedigital”/nappy, Public Domain; credit b: modification of work “Group of friends hanging out” by “Stacey_jayyy”/nappy, Public Domain; credit c: modification of work “Day 3 - The One Young World Summit 2014” by One Young World/Flickr, Public Domain)

How do individuals become part of a crowd during adolescence? Crowds come together through both selection (people with similar values, interests, and experiences find each other) and socialization (members reinforce shared attitudes and behaviors to uphold their identity and sense of belonging). Research suggests that academic orientation, athleticism, and physical appearance are among the primary characteristics through which teens sort themselves from an early age onward (Brown & Larson, 2009), and that ethnic and racial group membership are not (Brown, et al., 2008). One way to think of crowds and cliques is that crowds exist as part of the large social backdrop of adolescence, while actual peer relationships occur within and between cliques and friendships.

For most adolescents, the way their peers view them is very important, and not being accepted can lead to problems like relational aggression and poor academic performance (Lorijn et al., 2022). Girls are especially likely to worry about conflicts and being rejected by their peers (Chesney-Lind & Irwin, 2008). Girls who feel rejected often seek attention and form cliques to feel accepted (Hamilton, 2010). Popular students may act aggressively because they believe their high status protects them from negative consequences. Within these cliques, teens join the same activities and spend free time together, creating a strong social network. In contrast, less popular students interact less with their classmates and have fewer close friends. Overall, teen friendships help organize social interactions in the classroom, affecting teen mental health and behavior (Long et al., 2021; Casper et al., 2020).

Peer Social Risks

Teens who struggle to find a social group often face significant isolation and loneliness, which are linked to various negative outcomes including increased risk of depression, anxiety, and low self-esteem (Laursen & Hartl, 2013). Social isolation can also hinder academic performance and school engagement, since the peer support that can encourage and motivate the individual is lacking (Wentzel, 2005). Feelings of exclusion can also arise, and the absence of support increases the likelihood of engaging in harmful behaviors as a coping mechanism (Hawkley & Capitanio, 2015). For example, teenagers who feel isolated and lack positive social connections often seek acceptance in alternative groups, which can include gangs (Dmitrieva et al., 2014). Gangs offer a sense of community and identity, though through engagement in deviant behaviors. Addressing social isolation in teens and providing positive social support systems through parents, teachers, mentors, and community programs are critical to prevent gang involvement as well as promote overall well-being and teen mental health.

Romantic Relationships and Dating

All the social, physical, emotional, and cognitive developments that occur during adolescence create new ways for us to relate to one another within a romantic relationship. A romantic relationship is a bond psychologically distinct from mere liking and includes components of affection, intimacy, exclusivity, and interdependence (Aron et al., 2006).

Most adolescents enter into at least one romantic relationship during their teenage years (Lenhardt, et al., 2015), as part of the larger trend of shifting their focus from their family of origin toward peers and the larger society (Collins, 2003; Brown, 2004; Sorensen, 2007). Romantic relationships offer the developing adolescent space to explore what it means to be vulnerable (intimate) and connected to another individual, and to find a new source of support and comfort from a peer (Jorgensen-Wells, et al., 2021). They also provide valuable experience in relating to others in a way that will become a major focus in early adulthood.

Attachment

Recall that our internal working models of relationships provide us with scripts, including what we can expect from a relationship and how others are likely to behave. With these models, adolescents bring their full relationship and attachment history into their first (and subsequent) romantic relationships.

According to Hazan & Shaver (1987), both the ability to enter romantic relationships and the quality of those relationships are also connected to an individual’s attachment history (4.4 Social Development in Infants and Toddlers). Individuals with a secure attachment history bring several assets to an adolescent romantic relationship. These include effective communication skills like listening and sharing, appropriate emotional expression, the ability to assert and negotiate needs and expectations, and the capacity to seek support from and provide it to a partner (Carroll et al., 2007; Halford, 2011) (Figure 10.11). Such individuals also show skill in approaching others, forming intimate connections, and benefiting from such connections. They exhibit greater warmth and understanding and use a more constructive approach to resolving disputes (Tan, et al., 2016), which is essential because conflicts within a romantic relationship often arouse strong emotions.

Photo of two adolescents hugging each other.
Figure 10.11 Teens with a secure attachment history are often skilled at listening, sharing, and offering emotional support to others. (credit: modification of work “Hugging couple” by freestocks.org/Flickr, Public Domain)

Adolescents who have developed insecure attachment styles, including anxious-preoccupied (termed “ambivalent” in childhood) and avoidant, bring different experiences, expectations, and skill sets to their first romantic relationships (Brar et al., 2023; Choi et al., 2022; Dinero et al., 2008; Stavropoulos et al., 2018). Those with an anxious-preoccupied attachment history are interested in forming romantic relationships and enter such relationships eagerly. However, because of the inconsistent support and confusing mix of disappointment and frustration in their previous relationships, they often lack the confidence that a romantic relationship will bring all the benefits they are hoping for. Instead, they may seek frequent reassurance from their partner about their commitment and support. Romantic partners in turn often experience this need for reassurance as clinginess and may try to distance themselves emotionally. Ironically, this reaction is exactly what the internal working model of someone with anxious-preoccupied attachment predicts. Any resulting distancing, rejection, or breakup reinforces that model.

Adolescents with an avoidant attachment history don’t expect much from a romantic relationship, are overly self-reliant, and approach close relationships with skepticism and worry. These expectations often color their experience of early romantic relationships: any instance of dissatisfaction leads them to withdraw, further reinforcing their internal working model (Stavropoulos, et al., 2018).

A central tenet of attachment theory, however, is that partnering with someone who has a secure attachment style can benefit individuals with an anxious-preoccupied or avoidant attachment history. For instance, research shows that teenagers who engage in positive peer relationships, receive mentoring, and experience supportive school environments can develop healthy attachments and show resilience despite early challenges with unhealthy attachment patterns (Grossmann et al., 2005). Thus, we see the potential for positive development and reworking of the insecurely attached individual’s internal working model within the context of romantic relationships.

Dating Violence and Unhealthy Relationships

Teen interpersonal health risks often stem from their socioemotional needs for dating and establishing romantic relationships with appropriate peers. Romantic relationships are crucial for socioemotional development because they help to develop intimacy skills and shape identity and autonomy (Connolly & McIsaac, 2009). However, they can also generate intense emotions and conflicts, sometimes with the potential for teen dating violence (TDV). The Centers for Disease Control and Prevention (2024) defines dating violence as a variety of unsafe behaviors inflicted on a partner. Psychological dating violence includes manipulative actions aimed at indirectly harming the partner. Physical dating violence can range from pushing and slapping to more severe acts like beating, kicking, or strangling. Sexual TDV includes forced sexual activities, from unwanted touching to forced penetration. Stalking is a pattern of repeated, unwanted attention and contact by a current or former partner that causes fear or safety concerns for an individual or someone close to them (CDC, 2024).

Many adolescents report experiencing violence in their romantic relationships. Data from the 2011–2021 Youth Risk Behavior Surveys show significant rates of these experiences among U.S. high school students, with notable disparities affecting females, racial and ethnic minorities, and sexual minority youths (Basile, 2020). In 2021, 8.5 percent reported physical dating violence, 9.7 percent reported sexual dating violence, 11.0 percent reported sexual violence, 15 percent experienced bullying at school, and 15.9 percent faced electronic bullying (Clayton, 2023). A meta-analysis by Wincentak et al. (2017) found that 20 percent of teens aged thirteen to eighteen years have experienced physical dating violence, and 9 percent have experienced sexual dating violence. Given how common dating violence is, and the severity of its effects including psychological distress, suicidal thoughts, and post-traumatic symptoms (Exner-Cortens et al., 2013; Hébert et al., 2017), it is now seen as a serious public health problem. A recent study of late-stage adolescents' views on romantic relationships found that while teens can identify healthy and unhealthy relationship traits, some find it hard to see jealousy and possessiveness as negative behaviors, often mistaking them for signs of strong interest (Brar et al., 2023). Programs promoting healthy dating behaviors, clarifying unhealthy traits, teaching respectful conflict resolution, and encouraging intervention in abusive situations can benefit all teens (Foshee et al., 2014).

Teen dating violence, sexual violence, and bullying during adolescence are linked to health and behavioral issues in adulthood. Victimized teens may engage in risky behaviors like substance misuse or develop eating disorders as coping mechanisms (Batchelder et al., 2022). Studies also indicate that TDV is longitudinally associated with increasing high-risk behaviors, such as marijuana and alcohol use, and poor mental health outcomes (Piolanti et al., 2023). Trauma can also impair academic performance and social relationships, leading to isolation (Cava et al., 2020) and further emotional distress. Addressing these risks requires comprehensive sex and relationship education, preventative socioemotional health services, and accessible intervention support to ensure teens can establish and maintain healthy, respectful relationships. For instance, the reality of TDV should be included in school curricula focused on sex and relationship education. Schools must commit to fostering a violence-free social environment and encourage bystander intervention (Banyard et al., 2020).

Media as Context for Development

Peer relationships rightly take center stage as an important context for adolescent development. However, media, including social media, are also a central feature of adolescent life and are intricately linked to social relationships. Teens' media diet, usually characterized by excessive screen time, often includes social media and messaging apps, which can lead to problematic behaviors like sexting, the transmission of sexually suggestive or explicit images via texts, and sexual harassment. Studies show that increased phone use is associated with higher risks of exposure to inappropriate content and cyberbullying, with negative impacts on teens' mental health and psychological well-being.

Media Diet

What do we know about the media diet of teenagers today? The most relevant indicator is screen time, which includes time spent watching videos online, playing or watching others play video games, using tablets for creative purposes, using virtual reality devices, browsing the internet, using social media apps, and reading e-books. Average daily screentime for teenagers in 2021 was eight hours and thirty-nine minutes, an increase from six hours and forty minutes daily in 2015 (Rideout et al., 2022).

Research shows that 77 percent of teens watch online videos every day and spend an average of ninety minutes a day using social media apps such as Instagram and Snapchat. The Pew Research Center reports that 19 percent of teens use YouTube “almost constantly,” and 16 percent use TikTok with the same level of intensity (Vogels, 2022) (Figure 10.12). Teens from lower-income households report the highest screen use, averaging seven hours and thirty-two minutes per day.

Graphs: (a) Percentage of 13-17 year old use of YouTube, TikTok, Instagram, Snapchat, Facebook; (b) Average Daily Entertainment Screen Time in hours for 2015, 2019, and 2021 for Teens and Tweens.
Figure 10.12 The total screen time usage per day for entertainment purposes has significantly increased for both preteens and teens. (data source a: Pew Research Center; data source b: Common Sense Media; attribution: Copyright Rice University, OpenStax, under CC BY 4.0 license)

The COVID-19 pandemic of 2020–2023 markedly increased media use by teenagers. Contributing factors included societywide shutdowns of schools and other gathering places and social distancing protocols that made technology necessary for human interaction. Teenagers spent an average of more than eleven hours a day in front of screens during the pandemic, including for schooling; for more than 40 percent of them, this increase also meant more social media and video viewing (Hamilton et al., 2023; Marciano et al., 2022). Social media did let teens stay connected with one another during the pandemic, however, and its use then has been linked to lower stress, boredom, and loneliness among youth, in contrast to findings about social media use and adolescents’ psychological health post-pandemic (Marciano, et al., 2022).

There is a significant rise in anxiety, depression, and mental health issues among teenagers, which is linked to increased screen time and social media use. For example, the amount of media information about the pandemic itself increased teens’ feelings of anxiety. Researchers suggest that digital interactions contribute to a decline in face-to-face social skills and an increase in feelings of loneliness and inadequacy. They emphasize the need for reduced screen exposure to improve mental well-being in young people (Twenge, 2020; Haidt, 2024). When adolescents use their screen time as a replacement for social interactions, negative effects do emerge, such as a less positive body image, lower self-esteem, and an uptick in eating disorders (Ramsey, et al., 2023).

Psychological Effects

What do we know about the psychological effects of extensive media use? First, there are some positives. The primary purpose of all media is to communicate and entertain, facilitate interaction and engagement (especially over long distances), give exposure to new ideas and perspectives, and foster collaboration (American Academy of Pediatrics, 2016). Media sources also provide a way for isolated individuals to connect more easily with other people and resources, and an easier entry point to social interaction for those who may be shy or isolated. Some media are also extremely effective at advocating for certain positions or attitudes, so they can help spread positive and healthy information.

Psychologists, health professionals, and communications experts have also documented several physical health risks of media use. In a review of the literature, the American Academy of Pediatrics (2016) reports a fivefold increase in the chance of developing obesity among teens who watch more than five hours of media per day. One reason is an increase in snacking or passive eating during television viewing. Heavy media use can also increase sleep disturbances in teens (and adults): the blue cast to the light of screens interferes with the body’s melatonin levels, and adolescents have different sleep needs than children. These physical health risks can in turn increase psychological and socioemotional health risks.

In a systematic review of fifty studies from seventeen countries, researchers found that social media use is linked to body image concerns, eating disorders, and poor mental health among young individuals aged ten to twenty-four years. Social media exposure may lead to negative body image perceptions and contribute to the rising prevalence of eating disorders, emphasizing the potential global public health significance of this issue (Dane & Bhatia, 2023). Higher media use is predictive of a long list of other negative impacts including increased alcohol and tobacco use (Lewycka et al., 2018), earlier initiation of sexual behaviors (Smith et al., 2016), desensitization (or normalization) of certain negative content such as self-harming and disordered eating, increased risk of cyberbullying (as target or perpetrator), and sexting (Bozzola et al., 2023).

Sexting and Sexual Harassment

According to the CDC (2019), "sexual violence can occur in person, online, or via technology, as in the cases of posting or sharing sexual pictures of someone without their consent, or non-consensual sexting." Technology allows people to reach an audience virtually anywhere and at any time, and it is increasingly simple to involve someone by using images and/or videos. Teens report considerable pressure to sext (Abeele et al., 2014; Lunde & Joleby, 2023). Fifteen percent reported having sent a sext and 25 percent had received one (Giordano, et al., 2022). A recent study looked at how common abusive sexting is among Portuguese teens and the psychological traits of those involved, like emotional issues, signs of psychopathy, and past trauma (Barroso et al., 2021). Among twelve- to twenty-year-old participants, about 4.8 percent admitted to abusive sexting and 4.3 percent reported being victims. Abusive sexting was more frequent among males and those in midadolescence, and both perpetrators and victims had higher rates of emotional and behavioral problems, childhood abuse, and aggression (Barroso et al., 2021).

Abusive messages can easily be forwarded to large groups of recipients without the subject’s permission. The age of consent, which varies state to state and country to country, is the minimum age at which an individual can legally make decisions to engage in sexual behavior. In some U.S. states, it is a crime to merely receive a sext from someone under the age of consent, depending on the age difference between sender and recipient. According to the Cyberbullying Research Center, in twenty-seven of fifty U.S. states and the District of Columbia, the legal age of consent for sexual acts is sixteen years old and a sexting law is in place. In nine states the legal age for sexting is seventeen years old, and in eleven states, the age of consent is eighteen years old (CRC, 2022). Many teenagers believe it is acceptable to exchange sexts with someone they are dating or are sexually involved with, but this is not legally true.

Sending sexts can lead to serious social consequences if the images are shared or spread widely (Strasburger et al., 2019). When sexting occurs outside legal boundaries or includes coercion and pressure, it constitutes another form of sexual abuse and harassment, posing significant psychological risks for teens. Victims often experience anxiety, depression, and other mental health issues as a result. According to the Cyberbullying Research Center, approximately 12 percent of U.S. adolescents have been coerced into sending explicit images, highlighting the prevalence of this form of sexual victimization (Patchin & Hinduja, 2020).

Another form of sexual harassment is the use of deepfakes, digitally manipulated videos or images that create realistic but false representations of individuals. Sexually explicit deepfakes are of growing concern. Sharing them can be devastating to adolescents (Kristof, 2024). Victims can experience anxiety, depression, and harm to their personal and professional lives (Rousay, 2023). Protecting teens against sexual deepfakes requires a multifaceted approach, including educating them about the risks of sharing personal images online, promoting sufficient digital literacy to recognize and report deepfakes, and advocating for stronger legal protections and enforcement against their creation and distribution (Citron, 2019).

Best Practices for Healthy Media Use

How can we mitigate the risks associated with heavy media use? The American Academy of Pediatrics (AAP) (2016) recommends that pediatricians partner with parents and educators to communicate the effects of media, both positive and negative. Health-care professionals should also emphasize healthy activity levels (maximum of one hour of screen time per day) and adequate sleep for teens, recommend that children and teens not sleep with their electronic devices in their rooms, and advocate for media literacy programs in school curricula, youth organization programming, and family discussions.

The U.S. Surgeon General’s advisory emphasizes making policy and program changes at the government level, like advocating for media literacy curricula in schools, requiring strict data privacy protections by tech companies that create apps used by teens, and continuing to research and develop usage guidelines (United States Department of Health & Human Services, 2023). Families are urged to develop a family media plan that sets boundaries for technology use at home and to create “tech-free” zones and time periods, such as family meals. Parents should also model appropriate media use for their children.

While phones can be a major source of distraction due to games and social media, they also offer valuable resources for media consumption, such as audiobooks, music, educational apps, and news. By setting clear guidelines and discussing the importance of balance, parents can help their teens develop healthy habits (AAP, 2016). Encouraging responsible use means setting time limits, promoting tech-free family times, and discussing the potential risks and benefits of various apps and online activities (Rideout & Robb, 2018). Recreational apps and games can also promote relaxation and improve cognitive skills like problem-solving and hand-eye coordination.

One particular form of media deserves a special focus: music. Listening to music is one of the hallmark behaviors of adolescence, and music is a part of youth culture that helps to connect each cohort. Robert Sapolsky (1998) posited that our interest in new music wanes at around age thirty-five years, and that the music we listen to in our teenage years largely forms the basis for our lifelong musical preferences. One study found that listening to music was the most common strategy teens use for self-regulation (Saarikallio & Erkkila, 2007). Other reasons for playing music are for entertainment, sensation-seeking, relaxing, discharge of energy, diversion, and solace (Baltazar, 2019). Developing a set of musical preferences is another way adolescents can explore and develop their identities. It’s likely that teens (and adults) curate playlists in part so they can have music ready to help them cope with their changing emotional states (Cook et al., 2019). After a frustrating day at school, for example, a fifteen-year-old may listen to some heavy-metal music, nodding to the ferocious beats and discharging some of that negative energy, elevating her mood.

Education and Academic Achievement in Adolescent Development

During adolescence, youth undergo significant cognitive development, including improvements in abstract thinking, problem-solving abilities, and critical reasoning skills. Therefore, educational materials and requirements should be appropriately challenging to stimulate cognitive growth without being overwhelming. Goodness of fit in education refers to the compatibility or alignment between the educational environment and the needs, abilities, and characteristics of individual students. We know that students come from diverse backgrounds; thus, an optimal learning experience would occur when these factors are appropriately matched with the educational context. For instance, offering a variety of teaching techniques and resources to accommodate diverse learning preferences and personal circumstances. Additionally, adolescents benefit from incorporating breaks and varied activities to maintain engagement and prevent fatigue. Academic achievement outcomes are multifaceted and heavily influenced by environmental contexts including family and sociocultural factors and individual disparities.

Outcomes

What kinds of outcomes in academic achievement does schooling produce? The high school graduation rate for the United States overall was 86 percent in the 2018–2019 school year (NCES, 2021). This number has increased consistently since it was first tracked at the national level in 2011. Group-level differences were observed, however. For Asian-American/Pacific Islander students, the rate is 93 percent, for White students 89 percent, for Hispanic students 82 percent, for Black students 80 percent, and for Native American students 74 percent.

The U.S. Department of Education’s National Center for Education Statistics (NCES) produces The Nation’s Report Card, a semiannual snapshot of fourth-, eighth-, and twelfth-grade achievement in mathematics and reading, among other subject areas (NCES, 2021). The most recently available data for twelfth grade are for 2019, one year prior to the onset of the COVID-19 pandemic. For mathematics, 60 percent of twelfth-grade students met or exceeded the basic competence level nationwide, while just 24 percent met or exceeded what the NCES calls a “proficient” level of achievement (Figure 10.13). This represented a slight decrease in achievement compared with each assessment dating back to 2009. Males and females achieved at roughly similar levels.

Twelfth grade Math Scores (2019): Gender (Male, Female), Race/Ethnicity (American Indian, Asian, Black, Hispanic, White), English Language (learner, Not learner), Parental Education (HS not completed, HS graduate, Some HS education, College graduate).
Figure 10.13 Twelfth grade math scores show some range in proficiency based on various sociodemographic factors including gender, race/ethnicity, English language proficiency, and parental education. Note for example, the increase in scores as parent education level increases. (attribution: Copyright Rice University, OpenStax, under CC BY 4.0 license)

There were significant mathematics achievement gaps between students from different ethnoracial groups, as well as for students from households with different parental levels of schooling, and also for students who were English-language learners. For example, students whose native language was not English showed the largest mathematics achievement gap compared to native English speakers. Finally, the greater the educational attainment of parents, the higher the mathematics achievement of their children: adolescent children of college-educated parents scored higher on average than children whose parents did not graduate from high school. Educational attainment is one of the main components of socioeconomic status, an indicator of the level of social and economic resources a person or family has at their disposal. To support students, it is imperative that governments provide access to high-quality early childhood education programs to help level the playing field for students from disadvantaged backgrounds. Addressing disparities in disciplinary actions and providing culturally responsive curriculum and instruction can foster the academic success of marginalized and disadvantaged students. Finally, socioeconomically disadvantaged students often demonstrate remarkable resilience and perseverance and are highly motivated to succeed academically with the goal to improve their circumstances (Anyaka, 2017).

By twelfth grade, we see similar patterns emerging for reading achievement (Figure 10.14). The NCES reports slight declines in reading achievement levels between 2015 and 2019 for male students and for those whose parents had some education beyond high school (NCES, 2021). Otherwise, scores and achievement gaps between groups were stable for twelfth graders across that time period. Gaps include a difference in favor of students whose parents had graduated from college versus students from homes where the parents did not finish high school, and large achievement gaps between native English speakers and English language learners and between Asian and Black students.

Twelfth grade Reading Scores (2019): Gender (Male, Female), Race/Ethnicity (American Indian, Asian, Black, Hispanic, White), English Language (learner, Not learner), Parental Education (HS not completed, HS graduate, Some HS education, College graduate).
Figure 10.14 Twelfth-grade reading scores show some range in proficiency based on various sociodemographic factors including gender, race/ethnicity, English language proficiency, and parental education. Note for example the difference in scores between those learning English and those already proficient in English. (attribution: Copyright Rice University, OpenStax, under CC BY 4.0 license)

Sociodemographic Factors in Achievement Disparities

When the COVID-19 pandemic began in March 2020, children in the United States experienced major disruptions in schooling, particularly in socially and economically vulnerable groups (Bansak & Starr, 2021; Bailey et al., 2021; Maldonado & DeWitte, 2022). Parents from families with low incomes were more likely to be essential workers exposed to the COVID-19 virus and less likely to have access to high-quality health care (Berube & Bateman, 2020). Additionally, these families were less likely than families with higher income to have reliable internet access and computers at home, which made it harder for children in these homes to participate in online education (Stelitano et al., 2020).

Children in families with low income are also more likely to join public schools that lack the resources needed to support teachers in delivering high-quality online instruction. Additionally, parents with low income are less able to provide extra instructional support through private tutoring and other enrichment activities (Lee et al., 2021). Research from China and Indonesia indicates that students in rural regions experienced more negative impacts after school closures during the pandemic compared to students in urban areas (e.g., Pasani et al., 2021).

Black teens are often aware of the racialized nature of achievement disparities. They are frequently reminded of these disparities in their schools as well as on social media (Hope et al., 2015). For example, a longitudinal study noted that adolescents’ structural attributions (i.e., awareness of systemic and institutional factors that contribute to disparities) for racial achievement gaps increased from grade 10 to grade 12 (Bañales et al., 2020). However, when Black students recognize that such factors are rooted in historical and ongoing patterns of discrimination and inequality within educational systems and broader society, it works as an adaptive mechanism for their psychological development. When perceiving the causes of achievement disparities as external rather than internal, they see that their ability level is not fixed, which can help students establish a growth mindset and improve academic outcomes.

Ability grouping, also known as tracking, is a practice in education where students are placed into different classes or groups based on their perceived academic abilities or achievement levels. This practice involves assigning students into “tracks” based on their prior achievement or ability level (Loveless, 2013), such as “honors,” “regular,” or “remedial” classes, with each track offering varying levels of curriculum difficulty and academic rigor. The primary goal of this placement is to create a more uniform learning environment, allowing teachers to tailor their instruction more effectively to students’ needs and enabling students to benefit from interactions with their peers (Steenbergen-Hu et al., 2016). However, it can promote educational inequalities, perpetuate stereotypes, and reinforce self-fulfilling prophecies, wherein students internalize and conform to expectations associated with their assigned track; this is especially seen among students belonging to ethnic minority groups and students of lower SES (e.g., Francis et al., 2017; Peterson et al., 2016). Furthermore, such separating of students based on “ability” contributes to achievement gaps between different social groups, as stereotype threat disproportionately affects marginalized students who are targets of negative stereotypes. Stereotype threat refers to the phenomenon where individuals experience anxiety or fear of confirming negative stereotypes about their social group, which can impair their performance in academic or other achievement-related tasks (Spencer et al., 2016).

Familial and Sociocultural Factors in Academic Achievement and Disparities

The role of family, peer, and cultural influences on academic achievement trajectories is multifaceted and complex as myriad factors influence students’ beliefs, behaviors, and experiences. At the familial level, there are SES, parental education level, parental involvement, as well as parental expectations. For example, the level of parental involvement in a child’s education, including monitoring homework, attending school events, and communicating with teachers, is strongly associated with academic success (Harper et al, 2012).

At the social level, school climate, disciplinary practices, peer pressure, and influence of academic motivation are some of the forces that can drive a teen’s academic achievement trajectory. School climate is defined as “the quality and character of school life,” which is derived from “patterns of people’s experiences of school life and reflects norms, goals, values, interpersonal relationships, teaching, learning and leadership practices, and organizational structures” (Cohen et al., 2009, p. 182). Research shows that a positive school climate helps protect against the negative contribution of poor SES background on academic achievement (Berkowitz et al., 2017).

A longitudinal study conducted in Los Angeles high schools found that students who experienced authoritative school environments, characterized by high levels of support and structure, exhibited higher levels of self-efficacy and grit in subsequent years (Wong et al., 2021). Additionally, these students reported fewer depressive symptoms, less hopelessness, and reduced stress at school and about the future over time. The study highlights the significant association between a supportive and warm school climate and improved social-emotional health among adolescents. It suggests that interventions focusing on enhancing relationships with teachers and implementing supportive disciplinary practices may be beneficial for promoting the social-emotional well-being of students (Wong et al., 2021). Additionally, one’s cultural capital, cultural values and beliefs about education, and cultural identity impact academic performance and achievement trajectory. Specifically, cultural resources such as language, knowledge, values, and traditions passed down within communities can influence students’ academic achievement (e.g., Andersen & Jaeger, 2015).

School absenteeism (i.e., temporary periods of unexcused school absence) and permanent school dropout are both complex issues influenced by various risk factors that can occur at the individual, family, social, school, and community levels. According to the NCES (2018), 13 to 15 percent of eighth to twelfth graders were absent at least three days a month, and approximately 6 percent were absent at least five days a month. A comprehensive report from the U.S. Department of Education (2016) revealed that students with disabilities exhibited higher rates of chronic absenteeism compared to their peers without disabilities. Similarly, Native American and Pacific Islander students displayed a greater tendency for chronic absenteeism when compared to students from other racial and ethnic backgrounds. Additionally, non-ELL students were found to have a higher likelihood of chronic absenteeism in comparison to their ELL counterparts (Garcia & Weiss, 2018).

Understanding the reasons why teens drop out of high school is fundamental to improving intervention efforts to promote graduation. Risk factors for school absenteeism include negative attitudes toward school, problematic substance use, both externalizing and internalizing behaviors, and limited parent-school involvement (Gubbels et al., 2019). In terms of dropout, risk factors include a history of poor academic achievement, lower IQ, and learning difficulties (Gubbels et al., 2019). In addition, earlier research found extreme parental permissiveness to be associated with higher rates of dropping out (Rumberger et al., 1990). In a similar vein, researchers conducted a survey with young adults who left high school prior to completion. The researchers identified several influential stressors that increased the decision to leave school including mobility, family dynamics, peer influences, school engagement and environment, health issues, and involvement in crime. Issues related to school engagement and the overall school environment were among the most common reasons (McDermott et al., 2019). Hence, addressing the risk factors for school absenteeism and dropout requires a comprehensive, multifaceted approach that involves collaboration between schools, families, communities, and policymakers.

Interventions

Of note is a large-scale intervention undertaken in the United States in the 1950s and 1960s, namely the racial integration of schools (Pickren, 2004; Stanley, 2017). In Brown v. Board of Education (1954), the U.S. Supreme Court ruled that “separate but equal” educational access and services were inherently unequal and ordered an end to racial segregation in the U.S. education system. By the mid-1970s, the first Black students who were young children at the time of the original ruling and its reaffirmation ten years later showed dramatic increases in academic achievement on national standardized tests.

What this highlights is that large-scale improvements in social status and access to resources, along with a general push toward leveling the socioeconomic playing field, can have a big impact on learning for minority subgroups. This evidence points a path forward: as societies address equity gaps in a variety of domains of life, we should see generational increases in achievement levels (Hanushek et al., 2019). Over time, group-level achievement gaps should close with continued prevention and intervention efforts focused on creating equity.

The Brown decision is an example of a large-scale, societywide intervention. Psychologists working in educational settings also focus on identifying individual-level psychological factors that have some bearing on educational outcomes. Some key ones include self-determination theory (Ryan & Deci, 2017), expectancy-value theory (Harackiewicz et al., 2016), the stereotype threat process (Spencer et al., 2016), the concept of self-efficacy (Bandura, 1997; Schöber et al., 2018), and the collection of achievement motivation ideas currently known as growth mindset (Dweck, 2017). Across these diverse psychological processes and applications, one theme emerges: a student’s level of achievement motivation is strongly sensitive to the social environment. Adolescent learners in particular are highly attuned to the achievement-related messages they receive from their peers, teachers, parents, and broader culture.

References

Abeele, M. V., Campbell, S. W., Eggermont, S., and Roe, K. (2014). Sexting, mobile porn use, and peer group dynamics: Boys’ and girls’ self-perceived popularity, need for popularity, and perceived peer pressure. Media Psychology. 17(1), 6–33. https://doi.org/10.1080/15213269.2013.801725American Academy of Pediatrics. (2016). Media and young minds. Pediatrics, 138(5), e20162591. https://doi.org/10.1542/peds.2016-2591

American Academy of Pediatrics. (2016, October 21). Policy on how to help parents manage young children’s media use. AAP News. https://publications.aap.org/aapnews/news/12960?autologincheck=redirected

Aron, A., Fisher, H. E., & Strong, G. (2006). Romantic Love. In A. L. Vangelisti & D. Perlman (Eds.), The Cambridge handbook of personal relationships (pp. 595–614). Cambridge University Press. https://assets.cambridge.org/97805218/26174/frontmatter/9780521826174_frontmatter.pdf

Baltazar, M. (2019). Musical affect regulation in adolescents: A conceptual model. In K. McFerran, P. Derrington, & S. Saarikallio (Eds.), Handbook of music, adolescents, and wellbeing (pp. 65–74). Oxford University Press. https://psycnet.apa.org/doi/10.1093/oso/9780198808992.003.0006

Barroso, R., Ramião, E., Figueiredo, P., & Araújo, A. M. (2021). Abusive sexting in adolescence: Prevalence and characteristics of abusers and victims. Frontiers in psychology, 12, 610474. https://doi.org/10.3389/fpsyg.2021.610474

Basile, K. C., Clayton, H. B., DeGue, S., Gilford, J. W., Vagi, K. J., Suarez, N. A., Zwald, M. L., & Lowry, R. (2020). Interpersonal violence victimization among high school students—youth risk behavior survey, United States, 2019. Morbidity and Mortality Weekly Report, 69(1), 28–37. https://www.cdc.gov/mmwr/volumes/69/su/su6901a4.htm#suggestedcitation

Batchelder, H. R., Martz, D. M., Curtin, L., & Jameson, J. P. (2022). Interpersonal violence victimization and eating disorder behaviors in rural adolescents. Journal of Rural Mental Health, 46(2), 140–150. http://dx.doi.org/10.1037/rmh0000186

Bozzola, E., Spina, G., Agostiniani, R., Barni, S., Russo, R., Scarpato, E., Di Mauro, A., Di Stefano, A. V., Caruso, C., Corsello, G., & Staiano, A. (2022). The use of social media in children and adolescents: Scoping review on the potential risks. International Journal of Environmental Research and Public Health, 19(16), 9960. https://doi.org/10.3390/ijerph19169960

Brar, P., Boat, A. A., & Brady, S. S. (2023). But he loves me: Teens’ comments about healthy and unhealthy romantic relationships. Journal of adolescent research, 38(4), 632–665. https://doi.org/10.1177%2F07435584221079726

Brown, B. B. (2004). Adolescents’ relationships with peers. In R. M. Lerner & L. Steinberg (Eds.), Handbook of Adolescent Psychology (2nd ed., pp. 363–394. John Wiley & Sons. https://psycnet.apa.org/record/2004-12826-011

Brown, B. B., Herman, M., Hamm, J. V., & Heck, D. J. (2008). Ethnicity and image: Correlates of crowd affiliation among ethnic minority youth. Child Development, 79(3), 529–546. https://doi.org/10.1111/j.1467-8624.2008.01141.x

Brown, B. B., & Larson, J. (2009). Peer relationships in adolescence. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology: Contextual influences on adolescent development (3rd ed., pp. 74–103). John Wiley & Sons. https://psycnet.apa.org/doi/10.1002/9780470479193.adlpsy002004

Carroll, J. S., Willoughby, B., Badger, S., Nelson, L. J., McNamara, Barry C., Madsen, S. D. (2007). So close, yet so far away: The impact of varying marital horizons on emerging adulthood. Journal of Adolescent Research, 22(3), 219–247. https://doi.org/10.1177/0743558407299

Casper, D. M., Card, N. A., & Barlow, C. (2020). Relational aggression and victimization during adolescence: A meta-analytic review of unique associations with popularity, peer acceptance, rejection, and friendship characteristics. Journal of Adolescence, 80, 41–52. https://doi.org/10.1016/j.adolescence.2019.12.012

Cava, M. J., Tomás, I., Buelga, S., & Carrascosa, L. (2020). Loneliness, depressive mood and cyberbullying victimization in adolescent victims of cyber dating violence. International Journal of Environmental Research and Public Health, 17(12), 4269.

Centers for Disease Control and Prevention. (2024, January 23). About sexual violence. Sexual violence prevention. U.S. Department of Health and Human Services. https://www.cdc.gov/sexual-violence/about/?CDC_AAref_Val=https://www.cdc.gov/violenceprevention/sexualviolence/fastfact.html

Chesney-Lind, M., & Irwin, K. (2008). Beyond bad girls: Gender, violence and hype. Routledge. https://doi.org/10.4324/9780203940860

Centers for Disease Control and Prevention. (2024). About teen dating violence. Intimate Partner Violence Prevention. U.S. Department of Health and Human Services. https://www.cdc.gov/intimate-partner-violence/about/about-teen-dating-violence.html

Choi, H. J., Cooke, J. E., Madigan, S., & Temple, J. R. (2022). The impact of parent-child closeness and romantic attachment on dating violence perpetration in adolescence. Journal of Interpersonal Violence, 37(23–24). https://doi.org/10.1177/08862605211072160

Citron, D. K. (2019). Sexual privacy. Yale Law Journal, 128(7), 1870–1960. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3233805

Clayton, H. B. (2023, April 28). Dating violence, sexual violence, and bullying victimization among high school students—Youth risk behavior survey, United States, 2021. Morbidity and Mortality Weekly Report, 72(1), 66–74. http://dx.doi.org/10.15585/mmwr.su7201a8

Collins, W. A. (2003). More than myth: The developmental significance of romantic relationships during adolescence. Journal of Research on Adolescence, 13(1), 1–24. https://doi.org/10.1111/1532-7795.1301001

Connolly, J. A., & McIsaac, C. (2009). Romantic relationships in adolescence. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology (3rd ed., vol. 2, pp. 101–151). Wiley. https://doi.org/10.1002/9780470479193.adlpsy002005

Cook, T., Roy, A. R. K., & Welker, K. M. (2019). Music as an emotion regulation strategy: An examination of genres of music and their roles in emotion regulation. Psychology of Music, 47(1), 144–154. https://doi.org/10.1177/0305735617734627

Costello, M. A., Allen, J. P., Womack, S. R., Loeb, E. L., Stern, J. A., & Pettit, C. (2023). Characterizing emotional support development: From adolescent best friendships to young adult Romantic relationships. Journal of Research on Adolescence, 33(2), 389–403. https://doi.org/10.1111/jora.12809

Crabbe, R., Pivnick, L. K., Bates, J., Gordon, R. A., & Crosnoe, R. (2019). Contemporary college students’ reflections on their high school peer crowds. Journal of Adolescent Research, 34(5), 563–596. https://doi.org/10.1177%2F0743558418809537

Cyberbullying Research Center. (2022). Sexting laws across America. https://cyberbullying.org/sexting-laws

Dane, A., & Bhatia, K. (2023). The social media diet: A scoping review to investigate the association between social media, body image and eating disorders amongst young people. PLOS Global Public Health, 3(3), e0001091. https://doi.org/10.1371/journal.pgph.0001091

Dinero, R. E., Conger, R. D., Shaver, P. R., Widaman, K. F., & Larsen-Rife, D. (2008). Influence of family of origin and adult romantic partners on romantic attachment security. Journal of Family Psychology, 22(4), 622–632. https://doi.org/10.1037/a0012506

Dmitrieva, J., Gibson, L., Steinberg, L., Piquero, A., & Fagan, J. (2014). Predictors and consequences of gang membership: Comparing gang members, gang leaders, and non–gang‐affiliated adjudicated youth. Journal of Research on Adolescence, 24(2), 220–234. https://doi.org/10.1111/jora.12111

Elkind, D. (1998). Reinventing childhood: Raising and educating children in a changing world. Modern Learning Press. https://archive.org/details/reinventingchild00elki

Exner-Cortens, D., Eckenrode, J., & Rothman, E. (2013). Longitudinal associations between teen dating violence victimization and adverse health outcomes. Pediatrics, 131(1), 71–78. https://doi.org/10.1542/peds.2012-1029

Fankhauser, P. (2018). Novel findings on gender differences in self-disclosure: The sharing of personal information in Japanese students’ close friendships. Vienna Journal of East Asian Studies, 10(1), 1–30. http://dx.doi.org/10.2478/vjeas-2018-0001

Foshee, V. A., Reyes, L. M., Agnew-Brune, C. B., Simon, T. R., Vagi, K. J., Lee, R. D., & Suchindran, C. (2014). The effects of the evidence-based Safe Dates dating abuse prevention program on other youth violence outcomes. Prevention Science, 15(6), 907–916. https://doi.org/10.1007/s11121-014-0472-4

Grossman, K., Grossman, K. E., & Kindler, H. (2005). Early care and the roots of attachment and partnership representations: The Bielefeld and Regensburg longitudinal studies. In K. E. Grossmann, K. Grossmann, & E. Waters (Eds.), Attachment from infancy to adulthood: The major longitudinal studies (pp. 98–136). Guilford Press. https://www.psychomedia.it/rapaport-klein/steele05-06.pdf

Giordano, A. L., Schmit, M. K., Clement, K., Potts, E. E., & Graham, A. R. (2022). Pornography use and sexting trends among American adolescents: Data to inform school counseling programming and practice. Professional School Counseling, 26(1). https://doi.org/10.1177/2156759X221137287

Haidt, J. (2024). The anxious generation: How the great rewiring of childhood is causing an epidemic of mental illness. Random House. https://doi.org/10.1016/j.jaac.2024.08.004

Halford, W. K. (2011). Marriage and relationship education: What works and how to provide it. Guilford Press.

Hamilton, J. L., Dreier, M. J., & Boyd, S. I. (2023). Social media as a bridge and a window: The changing relationship of adolescents with social media and digital platforms. Current Opinion in Psychology, 52, 101633. https://doi.org/10.1016/j.copsyc.2023.101633

Hamilton, R. C. (2010). Relational aggression and the impact it has on female adolescents (Publication No. 44) [Doctoral dissertation, The College at Brockport]. College Education Master’s Theses. https://api.semanticscholar.org/CorpusID:145327455

Havighurst, R. J. (1973). History of developmental psychology: Socialization and personality development through the life span. In P. B. Baltes & K. W. Schaie (Eds.), Life-span developmental psychology (pp. 3–24). Academic Press. https://doi.org/10.1016/B978-0-12-077150-9.50007-1

Hawkley, L. C., & Capitanio, J. P. (2015). Perceived social isolation, evolutionary fitness and health outcomes: A lifespan approach. Philosophical Transactions of the Royal Society, Series B, biological sciences, 370(1669), 20140114. https://doi.org/10.1098/rstb.2014.0114

Hazan, C., & Shaver, P. (1987). Romantic love conceptualized as an attachment process. Journal of Personality and Social Psychology, 52(3), 511–524. https://doi.org/10.1111/1532-7795.1301001

Hébert, M., Blais, M., & Lavoie, F. (2017). Prevalence of teen dating victimization among a representative sample of high school students in Quebec. International Journal of Clinical and Health Psychology, 17(3), 225–233. https://doi.org/10.1016/j.ijchp.2017.06.001

Jorgensen‐Wells, M. A., James, S. L., & Holmes, E. K. (2021). Attachment development in adolescent romantic relationships: A conceptual model. Journal of Family Theory & Review, 13(4), 128–142. http://dx.doi.org/10.1111/jftr.12409

Kitts, J. A., & Leal, D. F. (2021). What is (n’t) a friend? Dimensions of the friendship concept among adolescents. Social Networks, 66, 161–170. https://doi.org/10.1016/j.socnet.2021.01.004

Ko, P.‐C., Buskens, V., & Wu, C.‐I. (2015). The interplay between gender and structure: Dynamics of adolescent friendships in single‐gender classes and mixed‐gender classes. Journal of Research on Adolescence, 25(2), 387–401. https://psycnet.apa.org/doi/10.1111/jora.12136

Kristof, Nicholas. (2024, March 23). The online degradation of women and girls that we meet with a shrug. The New York Times. https://www.nytimes.com/2024/03/23/opinion/deepfake-sex-videos.html?smid=em-share

Kwon, K., & Lease, A. M. (2007). Clique membership and social adjustment in children's same-gender cliques: The contribution of the type of clique to children's self-reported adjustment. Merrill-Palmer Quarterly, 53(2), 216–242. https://psycnet.apa.org/doi/10.1353/mpq.2007.0012

Laursen, B., & Hartl, A. C. (2013). Understanding loneliness during adolescence: Developmental changes that increase the risk of perceived social isolation. Journal of Adolescence, 36(6), 1261–1268. https://doi.org/10.1016/j.adolescence.2013.06.003

Lewycka, S., Clark, T., Peiris-John, R., Fenaughty, J., Bullen, P., Denny, S., & Fleming, T. (2018). Downwards trends in adolescent risk-taking behaviors in New Zealand: Exploring driving forces for change. Journal of Pediatrics and Child Health, 54(6), 602–608. https://doi.org/10.1111/jpc.13930

Long, E., Zucca, C., & Sweeting, H. (2021). School climate, peer relationships, and adolescent mental health: A social ecological perspective. Youth & Society, 53(8), 1400–1415. https://doi.org/10.1177/0044118x20970232

Lorijn, S. J., Engels, M. C., Huisman, M., & Veenstra, R. (2022). Long-term effects of acceptance and rejection by parents and peers on educational attainment: A study from pre-adolescence to early adulthood. Journal of Youth and Adolescence, 51(3), 540–555. https://doi.org/10.1007/s10964-021-01506-z

Lunde, C., & Joleby, M. (2023). Being under pressure to sext: Adolescents' experiences, reactions, and counter‐strategies. Journal of Research on Adolescence, 33(1), 188–201. https://doi.org/10.1111/jora.12797

Manning, M. L. (2002). Havighurst's developmental tasks, young adolescents, and diversity. The Clearing House, 76(2), 75–78. https://doi.org/10.1080/00098650209604953

Marciano, L., Ostroumova, M., Schulz, P. J., & Camerini, A. L. (2022). Digital media use and adolescents' mental health during the Covid-19 pandemic: A systematic review and meta-analysis. Frontiers in public health, 9, 793868. https://doi.org/10.3389/fpubh.2021.793868

McFarland, D. A., Moody, J., Diehl, D., Smith, J. A., & Thomas, R. J. (2014). Network ecology and adolescent social structure. American sociological review, 79(6), 1088–1121. https://doi.org/10.1177%2F0003122414554001

Mortimer, J. T. (2010). The benefits and risks of adolescent employment. The Prevention Researcher, 17(2), 8–11. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936460/

Patchin, J. W., & Hinduja, S. (2020). It is time to teach safe sexting. Journal of Adolescent Health, 66(2), 140–143. https://doi.org/10.1016/j.jadohealth.2019.10.010

Pattiselanno, K., Dijkstra, J. K., Steglich, C., Vollebergh, W., & Veenstra, R. (2015). Structure matters: The role of clique hierarchy in the relationship between adolescent social status and aggression and prosociality. Journal of youth and adolescence, 44(12), 2257–2274. https://doi.org/10.1007/s10964-015-0310-4

Piolanti, A., Waller, F., Schmid, I. E., & Foran, H. M. (2023). Long-term adverse outcomes associated with teen dating violence: A systematic review. Pediatrics, 151(6). https://doi.org/10.1542/peds.2022-059654

Ramsey, N., Obeidallah, M., & Abraham, A. (2023). Impact of Covid-19 on adolescent health and use of social media. Current Opinion in Pediatrics, 35(3), 362–367. https://doi.org/10.1097/mop.0000000000001248

Rideout, V. J., & Robb, M. B. (2018). The Common Sense Census: Media use by tweens and teens. Common Sense Media. https://www.commonsensemedia.org/sites/default/files/research/report/8-18-census-integrated-report-final-web_0.pdf

Rideout, V. J., & Robb, M. B. (2021). The role of media during the pandemic: Connection, creativity, and learning for tweens and teens. San Francisco, CA: Common Sense. https://www.commonsensemedia.org/sites/default/files/research/report/8-18-role-of-media-research-report-final-web.pdf

Rousay, V. (2023). Sexual deepfakes and image-based sxual abuse: Victim-survivor experiences and embodied harms [Doctoral dissertation, Harvard University]. https://www.researchgate.net/publication/370324689_Sexual_Deepfakes_and_Image-Based_Sexual_Abuse_Victim-Survivor_Experiences_and_Embodied_Harms

Rubin, K. H., Bukowski, W. M., & Parker, J. G. (2006). Peer interactions, relationships, and groups. In N. Eisenberg, W. Damon, & R. M. Lerner (Eds.), Handbook of child psychology: Social, emotional, and personality development (6th ed., pp. 571–645). John Wiley & Sons. https://doi.org/10.1002/9780470147658.chpsy0310

Saarikallio, S., & Erkkilä, J. (2007). The role of music in adolescents’ mood regulation. Psychology of Music, 35(1), 88–109. https://psycnet.apa.org/doi/10.1177/0305735607068889

Sapolsky, R. (1998, March 22). Open season. The New Yorker (p. 57). https://www.newyorker.com/magazine/1998/03/30/open-season-2

Smith, L. W., Liu, B., Degenhardt, L., Richters, J., Patton, G., Wand, H., Cross, D., Hocking, J. S., Skinner, S. R., Cooper, S., Lumby, C., Kaldor, J. M., & Guy, R. (2016). Is sexual content in new media linked to sexual risk behaviour in young people? A systematic review and meta-analysis. Sexual Health, 13(6), 501–515. https://doi.org/10.1071/sh16037

Sorensen, S. (2007). Adolescent romantic relationships. Research facts and findings, 1-4. https://actforyouth.net/resources/rf/rf_romantic_0707.cfm

Stavropoulos, V., Mastrotheodoros, S., Burleigh, T. L., Papadopoulos, N., & Gomez, R. (2018). Avoidant romantic attachment in adolescence: Gender, excessive internet use and romantic relationship engagement effects. PLoS ONE, 13(7). https://doi.org/10.1371/journal.pone.0201176

Strasburger, V. C., Zimmerman, H., Temple, J. R., & Madigan, S. (2019). Teenagers, sexting, and the law. Pediatrics, 143(5). https://doi.org/10.1542/peds.2018-3183

Tan, J. S., Hessel, E. T., Loeb, E. L., Schad, M. M., Allen, J. P., & Chango, J. M. (2016). Long‐term predictions from early adolescent attachment state of mind to romantic relationship behaviors. Journal of Research on Adolescence, 26(4), 1022–1035. https://doi.org/10.1111/jora.12256

Twenge, J. M. (2020). Increases in depression, self‐harm, and suicide among U.S. adolescents after 2012 and links to technology use: Possible mechanisms. Psychiatric Research and Clinical Practice, 2(1), 19–25. https://doi.org/10.1176/appi.prcp.20190015

United States Department of Health & Human Services (2023). Surgeon general issues new advisory about effects social media use has on youth mental health. https://www.hhs.gov/about/news/2023/05/23/surgeon-general-issues-new-advisory-about-effects-social-media-use-has-youth-mental-health.html

Vogels, E. A., Gelles-Watnick. R., & Massarat, N. (2022, August 10). Teens, social media and technology 2022. Pew Research Center. https://www.pewresearch.org/internet/2022/08/10/teens-social-media-and-technology-2022/

Wentzel, K. R. (2005). Peer relationships, motivation, and academic performance at school. Handbook of competence and motivation (2nd ed., pp. 586–603). https://psycnet.apa.org/record/2017-17591-031

Wesche, R., Kreager, D. A., Ramirez, N. G., & Gupta, S. (2023). Dating and friendships in adolescence: Variation across same‐sex and other‐sex romantic partners. Journal of Research on Adolescence, 33(4), 1131–1142. https://doi.org/10.1111/jora.12865

Wincentak, K., Connolly, J., & Card, N. (2017). Teen dating violence: A meta-analytic review of prevalence rates. Psychology of Violence, 7(2), 224–241. https://doi.org/10.1037/a0040194

Zhao, Q., & Li, C. (2022). The roles of clique status hierarchy and aggression norms in victimized adolescents’ aggressive behavior. Journal of youth and adolescence, 51(12), 2328–2339. https://doi.org/10.1007/s10964-022-01677-3

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