Ezra K. Too
Esther Chongwo
Adam Mabrouk†
Amina Abubakar- Institute for Human Development, Aga Khan University, Nairobi, Kenya
Introduction: Adolescent connectedness, a key component of positive youth development, is associated with various positive health outcomes. Several measures have been developed to assess this construct. However, no study has summarized data on the existing measures of adolescent connectedness. We conducted this scoping review to fill this gap. We specifically aimed to: (i) identify the existing measures of adolescent connectedness, (ii) determine the most frequently used measures among the identified measures, and (iii) summarize the psychometric properties of these measures with a keen interest in highlighting their cross-cultural utility and validity.
Methods: We searched CINAHL, Embase, PsycInfo, PubMed, and Web of Science databases for relevant articles published since database inception to 7th February 2021. Our search structure contained the key words “Adolescents”, “Connectedness”, and “Measures”. We also searched Open Gray for potentially relevant gray literature.
Results: We identified 335 measures from 960 eligible studies assessing various domains of adolescent connectedness, including school, family, community, peer, ethnic, racial, cultural, religious/spiritual, and self-connectedness. Most of the included studies (72.1%) were from North America and Europe. Most of the measures (n = 132, 39.4%) were measures of school connectedness among adolescents. Of the identified measures, 60 of them met our criteria of frequently used measures (i.e., the top five most used measures per domain of connectedness). These frequently used measures were used across 481 of the included studies with 400 of them reporting their psychometric properties. The reported reliability of these measures was adequate (Cronbach's alpha ≥ 0.70) in 89.8% of these studies. These measures also appeared to be valid in terms of their face, content, construct, criterion, convergent, discriminant, concurrent, predictive, measurement invariance, and cross-cultural validity.
Conclusions: There exists a wide array of measures of adolescent connectedness. Sixty of these measures have been frequently used across studies and appear to be reliable and/or valid. However, this evidence is mostly from North America and Europe. This is a reflection of the limitation of this review where only studies published in English were considered. It might also reflect the paucity of research in other regions of the world. More research is needed for clearer insights.
Introduction
In recent years, there has been an increasing interest in positive youth development [PYD] (Qi et al., 2020). PYD encompasses six key components termed the 6Cs, including connection, character, caring, confidence, competence, and contribution (Shek et al., 2019). In this work, we focus on connection, hereinafter referred to as connectedness. A sense of connection or connectedness is defined as a sense of belonging, feelings of mutual support, acceptance, safety, respect, engagement, and inclusion to certain contexts (Resnick et al., 1997; Unger et al., 2000; Aydin and Oztütüncü, 2001; Dornbusch et al., 2001). Adolescent connectedness can take place in various contexts including self, peer, family, school, and community (Jose Paul et al., 2012). This is dependent on an adolescent's social environment and the activities, people, and places that he/she interacts with in that environment (Abubakar et al., 2014).
Connectedness in adolescents is associated with various positive outcomes. For instance, research shows that school connectedness is linked to positive school adjustments, improved academic achievement and enhanced psychosocial status and general health (Bersamin et al., 2019). Among Norwegian adolescents, research showed that a sense of class belonging and support from teachers influenced students' psychological and mental wellbeing (Brandseth et al., 2019). In Kenya, a higher sense of belonging among Kenyan adolescents, both native and those of immigrant backgrounds, was associated with improved life satisfaction (Abubakar et al., 2014).
Adolescent connectedness has also been documented as an important protective factor against various negative outcomes among adolescents. Adolescents with higher connectedness are less likely to have suicidal ideations, have reduced sexual risk tendencies and substance use, and are less likely to have emotional and behavioral problems (Resnick et al., 1997; Joyce Hilary and Early Theresa, 2014; Langille et al., 2015). Among Kenyan adolescents, school, ethnic, and religious connectedness was shown to act as a buffer against poor mental health functioning (Abubakar et al., 2014). School disconnectedness has been identified as one of the major factors that impede academic achievement and optimal health outcomes among in-school adolescents (Monahan et al., 2010; Niehaus et al., 2012).
The positive impacts of adolescent connectedness are long-lasting and may go way beyond the adolescence stage into adulthood. Evidence from the United States show that school and family connectedness in adolescence conferred protection against multiple health risks later in life such as sexual risk behaviors, violence perpetration and victimization, substance abuse, emotional distress, and suicidal ideation (Steiner et al., 2019). Additionally, in New Zealand, family connectedness has been documented to mitigate against overall decline in wellbeing over time (Stuart and Jose Paul, 2014). Similarly, in a study from Australia, adolescents who were connected to their peers were less likely to have mental health issues such as social anxiety in adulthood (Rapee et al., 2020). In a longitudinal study among adolescents in New Zealand, global connectedness (peer, family, school, and neighborhood connectedness) was associated with overall psychological wellbeing over time (Jose Paul et al., 2012).
Because of the positive impacts of connectedness, it has become a target for programmes and interventions aimed at promoting health and reducing health risk behaviors. For instance, findings from a systematic review that aimed to identify programmes that increased school connectedness showed that there were a number of such interventions that had been incorporated into school programmes to reduce behaviors such as absenteeism and to promote school performance (Chapman et al., 2013). Such interventions have the potential to impact on the overall wellbeing of adolescents. For instance, an intervention to increase social connectedness in street-involved youth reduced hopelessness and despair (McCay et al., 2011). Given the overwhelming evidence on the potential benefits to connectedness there is a need to invest in programmes aimed at enhancing adolescent connectedness.
To adequately assess adolescent connectedness and evaluate the effectiveness of such interventions, there is a need for culturally appropriate measures that are psychometrically sound across contexts. Over the years, several measures have been developed to evaluate different domains of connectedness. These include, among others, the Psychological Sense of School Membership Scale [PSSM] (Goodenow, 1993), the Hemingway's Measure of Adolescent Connectedness [HMAC] (Karcher, 2001), the Multigroup Ethnic Identity Measure [MEIM] (Phinney, 1992), and the Social Connectedness Scale (Lee and Robbins, 1995). These measures were developed to either measure specific domains of adolescent connectedness or multiple domains concurrently.
Despite the existence of several measures of adolescent connectedness, to the best of our knowledge, no study has synthesized data on existing measures, including their psychometric properties. Furthermore, there is a dearth of information regarding the most frequently used measures of connectedness among adolescents and their psychometric properties, including, their utility and validity across cultural contexts. There is a need for summarizing the existing measures of adolescent connectedness and their psychometric robustness for research, program implementation and programme evaluation purposes. To fill these gaps, we conducted a scoping review to identify existing measures of adolescent connectedness and their psychometric properties. The aim of this review was to:
• Identify the measures of adolescent connectedness currently in use.
• Identify the most frequently used measures among the identified measures.
• Determine the psychometric properties of the most frequently used measures of connectedness currently in use among adolescents, including their cross-cultural utility and validity.
Methods
Identification of Relevant Studies
Search Strategy
We conducted a search in five electronic databases (CINAHL, Embase, PsycInfo, PubMed, and Web of Science) for articles published from database inception to 1st March 2022 (when the last search was conducted). Our search structure contained the key words “Adolescents”, “Connectedness”, and “Measures” combined by the Boolean operator AND. Respective synonyms for these key words were combined using the OR Boolean operator (See Supplementary Material 1 for the search strategy). We restricted the search to only peer reviewed articles. Finally, we searched the Open Gray Database for any potential articles meeting our eligibility criteria.
Eligibility Criteria
Table 1 shows the eligibility criteria for this review.
Table 1. Study selection criteria.
Selection of Studies
The identified articles were retrieved and uploaded to EppiReviewer Web software (https://eppi.ioe.ac.uk/EPPIReviewer-Web/home) for data management. Three authors (EC, AM, and ET) equally distributed the articles among themselves and independently screened the articles by title, abstract and full text. The three reviewers were in consultation at every stage to address arising issues and resolve disagreements. Where necessary, a senior member of the team (AA) was involved.
Data Charting
Data charting was conducted in the EppiReviewer Web software. We extracted the following information from each of the included studies: (I) Study characteristics (Name of the first author, year of publication, country of study, study design, sample size, adolescent population involved, age of participants, and gender proportions), (ii) Domains of connectedness assessed (self, peer, family, school, or community), and (iii) Characteristics of the measures used (the measure of adolescent connectedness used and the reported psychometric properties [in this review, we only included the reported reliability and/or validity estimates based on data from that particular study, but not those cited from previous studies)].
Data Analysis
We used descriptive statistics (frequencies and percentages) to summarize the number of studies assessing each domain of connectedness. We summed the total number of measures of adolescent connectedness as reported in the included studies. We then distributed these measures to the respective domains of connectedness that they assessed and computed their frequency of use. In this study, we defined the most frequently used measure as the top five most used measures per domain. Psychometric information (the reported reliability and/or type of validity) were extracted from the eligible studies and summarized per measure. The cross-cultural utility of the measures was implied when a measure was used across countries. We categorized the countries in which the included studies were conducted into their respective continents and summarized their distribution.
Results
Results of Database Search
We identified a total of 35,002 articles from the electronic database search. After removing duplicates and screening articles by eligibility criteria, we included 960 studies in the review. Figure 1 shows the study selection flowchart for the scoping review process.
Figure 1. Flowchart for the scoping review process.
Characteristics of Included Studies
Supplementary Material 2 shows in detail the characteristics of the included studies. In summary, the majority of the included studies (53.0%, n = 509) were conducted in North America. The remaining studies were distributed across Europe (19.1%, n = 183), Asia (11.5%, n = 110), Oceania (9.4%, n = 90), Africa (1.9%, n = 18), and South America (1.6%, n = 15). A few (3.6%, n = 35) of the included articles were multi-country studies. The included studies were published in the period from 1990 to 2021 with the majority (80.5%, n = 773) being published from 2010 onwards.
The majority of the included studies exclusively assessed specific domains of adolescent connectedness including school connectedness (45.4%, n = 436 studies), family connectedness (12.4%, n = 119 studies), community connectedness (2.7%, n = 26 studies), peer connectedness (5.5%, n = 53 studies), self-connectedness (0.3%, n = 3 studies), ethnic identity/connectedness (3.1%, n = 30 studies), racial identity/connectedness (0.2%, n = 2 studies), cultural connectedness (0.6%, n = 6 studies), and religious/spiritual connectedness (0.4%, n = 4 studies). In 281 (29.3%) of the remaining studies, two or more of these domains were assessed concurrently.
From the included studies, a total of 335 individual measures of adolescent connectedness were identified (see Supplementary Material 3 for the full list of these measures). About a fifth (20.4%, n = 196) of the included studies did not use any of the existing or newly developed measures. Instead, study-specific items (either adapted from previous studies or newly created for that study) were used to assess adolescent connectedness. Of the included studies, 756 studies reported an aspect of reliability and/or validity of these measures or items. Of these studies, 77 studies were development and/or validation studies of the various measures of adolescent connectedness. The reported psychometrics were mostly reliability (internal consistency, test-retest, or interrater reliability) except in 158 studies that additionally reported validity (Supplementary Material 2).
Measures of School Connectedness Among Adolescents and Their Psychometric Properties
We identified a total of 132 individual measures which were used to assess school connectedness among adolescents (Supplementary Material 4A presents the list of these measures including their frequency of use). Among these measures, the PSSM (Goodenow, 1993), the School Connectedness Scale [SCS] (McNeely et al., 2002), the Basic Psychological Needs Satisfaction Scale [BPNS] (Ryan and Deci, 2000), the School Belongingness Scale (Arslan and Duru, 2017), the School Belonging Scale (Anderman, 2002), and the Need for Relatedness Scale (Richer and Vallerand, 1998) were the most frequently used measures. These top five measures were used across 236 of the included studies, with 202 of them reporting an aspect of reliability or validity. We have summarized the psychometric properties of these measures in Table 2. Detailed psychometric properties of all the measures of school connectedness are in Supplementary Material 2.
Table 2. Psychometric properties of the most frequently used measures of adolescent school connectedness.
The reported internal consistency of these measures across studies was above the recommended acceptable threshold of 0.70 except for some subscales or time points in measures used in 16 studies (Poteat and Espelage Dorothy, 2007; Prelow Hazel et al., 2007; Sun et al., 2013; Lam Un et al., 2015; Bolland Kathleen et al., 2016; Espelage Dorothy et al., 2016; Gnambs and Hanfstingl, 2016; Rose Chad et al., 2016; Thumann Barbara et al., 2016; Cowden Richard et al., 2018; Tomek et al., 2018; Ingram Katherine et al., 2019; Asanjarani and Arslan, 2020; Cardeli et al., 2020; Espelage et al., 2020; Ellinger et al., 2022). In three studies (Acosta et al., 2019; Wagle et al., 2021; Booker et al., 2022), McDonald's Omega was reported for the PSSM and the SCS and was found to be good (0.81–0.96).
The types of validity that were assessed in these frequently used measures included measurement invariance across time points, sex, age, grade, and poverty quantile groupings, construct, content, convergent, discriminant, predictive, concurrent, face, content, and cross-cultural validity (Supplementary Material 2). Cross-cultural validity was assessed in only two studies (Abubakar et al., 2016; Hussain Shadab et al., 2018) that established the measurement invariance of the PSSM across countries or cultural groups (see Supplementary Material 2 for fit indices).
All these measures were used across different countries and generally appear to be reliable and valid (where reported) outside of their countries of origin except the PSSM in two studies (Lam Un et al., 2015; Cowden Richard et al., 2018), the SCS in two studies (Sun et al., 2013; Thumann Barbara et al., 2016), and the School Belongingness Scale in one study (Asanjarani and Arslan, 2020). These studies reported poor reliabilities (Cronbach's alpha <0.70) of these measures when used outside of their countries of origin (Supplementary Material 2).
Measures of Family Connectedness Among Adolescents and Their Psychometric Properties
Seventy measures of adolescent family connectedness were used across 122 of the included studies (See Supplementary Material 4B for the full list of these measures including their frequency of use). Among these, the Parent-Family Connectedness Scale (Resnick et al., 1997), the Parental Bonding Instrument (Parker et al., 1979), the Multigenerational Interconnectedness Scale [MIS] (Gavazzi and Sabatelli, 1987), the Family Adaptability and Cohesion Evaluation Scale [FACES-II] (Olson et al., 1982), and the Social Connectedness Scale (Lee and Robbins, 1995) were the most frequently used measures. Forty-nine of the included studies used these five measures and their psychometric properties were reported in 40 studies and are summarized in Table 3. Detailed psychometric properties of all the measures of family connectedness are in Supplementary Material 2.
Table 3. Psychometric properties of the most frequently used measures of adolescent family connectedness.
Across studies, the reported reliability was acceptable (Cronbach's alpha ≥ 0.70) except in only three studies (Dwairy and Menshar, 2006; Carlo et al., 2011; Law et al., 2013) that respectively reported a Cronbach's alpha of < 0.70 for the Social Connectedness Scale, the MIS, and the Parental Bonding Instrument. Of the five measures, validity was reported only for the Parent-Family Connectedness Scale and the MIS in only five studies (Dwairy, 2003; Dwairy and Menshar, 2006; Dwairy et al., 2006; Dwairy and Dor, 2009; Mueller Christian et al., 2011). The only reported and established types of validity in these studies were construct, convergent, and divergent validity.
All the measures except the Social Connectedness Scale were used across multiple countries. Where the psychometric properties were reported, these measures still remained reliable and/or valid for use outside of their countries of origin in all the studies except in only two studies (Dwairy and Menshar, 2006; Law et al., 2013) where the MIS and the Parental Bonding Instrument had poor reliability.
Measures of Community Connectedness Among Adolescents and Their Psychometric Properties
In total, 40 measures of adolescent community connectedness were used (see Supplementary Material 4C for the full list of these measures including their frequency of use). Of these, the Sense of Belonging Instrument—Psychological Subscale [SOBI-P] (Hagerty and Patusky, 1995), the Community Connectedness Scale (Fletcher and Shaw, 2000), the Sense of Community Index (Chavis et al., 1986), the Sense of Community Scale for Adolescents [SOC-A] (Cicognani et al., 2008), the Neighborhood Youth Inventory [NYI] (Chipuer et al., 1999), the Neighborhood Intergenerational Closure Scale (Sampson et al., 1999), and the Collective Efficacy Scale [CES] (Sampson et al., 1997) were the most frequently used measures used in 19 of the included studies. Table 4 presents a summary of the psychometric properties of these measures. Detailed psychometric properties of all the measures of community connectedness are in Supplementary Material 2.
Table 4. Psychometric properties of the most frequently used measures of adolescent community connectedness.
In summary, the psychometric properties of these measures were reported across 18 studies. All the 18 studies reported reliability (internal consistency) with only one of these studies (Albanesi et al., 2007) additionally reporting the validity of the SOC-A. The reported Cronbach alpha was above 0.70 in all the studies except in one study (Chipuer et al., 2003) that reported lower Cronbach alphas for some subscales in the NYI. Only construct validity was reported for the SOC-A where confirmatory factor analysis derived a five-factor solution that accounted for 53.8% of the total variance. Among these measures, only the SOBI-P and the Sense of Community Index were used in more than one country and showed good reliability across the countries in which they were used (Cronbach's alpha ranging from 0.71 to 0.95).
Measures of Ethnic Identity/Connectedness Among Adolescents and Their Psychometric Properties
Only five measures were used across 48 of the included studies to assess ethnic identity in adolescents. These measures include the MEIM (Phinney, 1992), the Ethnic Identity Scale (Umaña-Taylor et al., 2004), the Ethnic and Moral Identity Scale [EMIS] (Aldridge Jill et al., 2016), the Multidimensional Inventory of Black Identity–Teen [MIBI-T] (Scottham et al., 2008), and the Psychological Acculturation Scale (Tropp et al., 1999). The psychometric properties of these measures were reported in 40 of these studies with all these studies reporting their reliability and five of them additionally reporting their validity (Table 5).
Table 5. Psychometric properties of measures of adolescent ethnic identity/connectedness.
The reported internal consistency was adequate (Cronbach's alpha ≥ 0.70) in all but seven of these studies (Phinney, 1992; Wallace Scyatta and Fisher Celia, 2007; Wills et al., 2007; Dandy et al., 2008; Kiang and Fuligni, 2009; Galliher et al., 2011; Tabbah et al., 2016). One study (Caqueo-Urizar et al., 2021) additionally reported McDonald's Omega of the MEIM (0.89). Validity was only reported for the MEIM and the EMIS. The types of validity assessed for these two measures included longitudinal measurement invariance, construct, and cross-cultural validity. The cross-cultural validity was established for the MEIM in two studies (Spencer et al., 2000; Caqueo-Urizar et al., 2021) where Multigroup equivalence across different cultural groups was established.
Among these measures, only the MEIM was used across countries (Table 5). Among the studies that used this measure and reported its psychometric properties, only six studies (Phinney, 1992; Wallace Scyatta and Fisher Celia, 2007; Dandy et al., 2008; Kiang and Fuligni, 2009; Galliher et al., 2011; Tabbah et al., 2016) reported poor reliability (Cronbach's alpha <0.70). From these studies, only one of them (Dandy et al., 2008) was conducted outside the measure's country of origin (the United States).
Measures of Racial Identity/Connectedness Among Adolescents and Their Psychometric Properties
Only three measures were used across three of the included studies (DeCarlo, 2005; Sellers Robert et al., 2006; Mandara et al., 2009) to assess racial identity among adolescents. The measures include the Racial Identity Attitude Scale (King et al., 2015), the MIBI-T (Scottham et al., 2008), and the MEIM (Phinney, 1992) (Supplementary Material 2). Of these measures, the only reported psychometric properties was reliability (internal consistency) which was reported for the MIBI-T and the MEIM. The reported internal consistency of the MEIM was good (Cronbach's alpha of 0.80 and 0.73 across groups). The reported Cronbach's alpha was below 0.70 in some subscales of the MIBI-T.
Measures of Cultural Connectedness Among Adolescents and Their Psychometric Properties
Nine measures, including the MEIM (Phinney, 1992), the Cultural Connectedness Scale [CCS] (Snowshoe et al., 2015), the Cultural Connectivity Scale–California [CCS-CA] (King et al., 2019), the Alaska Native Cultural Identification [ANCI] (Wolsko et al., 2009), the Hawaiian Culture Scale (Hishinuma et al., 2000), the Navajo Cultural Identity Measure (Rieckmann Traci et al., 2004), the Residence Culture Identity Measure [RCIM] (Weber et al., 2015), the Acculturation, Habits, and Interests Multicultural Scale for Adolescents [AHIMSA] (Unger et al., 2002), and a new 6-item Cultural Connectedness Measure adapted from the MEIM (Hilario Carla et al., 2014), were used across 12 of the included studies to assesses adolescents' cultural connectedness. Of these measures, only the MEIM, the RCIM and the CCS were each used in two studies. The rest of the measures were each used in only one study (Supplementary Material 2).
Of the 12 studies that used these measures, eight of them reported the internal consistency of some of these measures with three studies (Rieckmann Traci et al., 2004; Snowshoe et al., 2015, 2017) additionally reporting their validity. One study (King et al., 2019) only reported validity, reporting the face validity of the CCS-CA. The reported internal consistency was adequate (Cronbach's alpha ≥ 0.70) in all but one study (Mastrotheodoros et al., 2021) that reported poor reliability for the MEIM in some time points. The reported and established types of validity in the three studies include construct, convergent, content, and face validity.
Measures of Religious/Spiritual Connectedness Among Adolescents and Their Psychometric Properties
Only seven measures were used across eight of the included studies to measure religious/spiritual connectedness among adolescents. These measures include the Multi-Religion Identity Measure [MRIM] (Abu-Rayya et al., 2009), the Religious/Spiritual Connectedness Scale (Resnick et al., 1993), the Spiritual Connectedness Scale (Holder et al., 2000), the Religious Collective Self-Esteem Scale [RCSES] (Oulali et al., 2019), the Brief Multidimensional Measure of Religiousness/Spirituality [BMMRS] (Group., 1999), the Personal Experience Inventory (Winters et al., 1989), and a newly developed 6-item Scale (Abubakar et al., 2014). Among these measures, only the MRIM was used across two studies. The remaining measures were each used only in one study (Supplementary Material 2).
The psychometric properties of these measures were reported across six studies (Abu-Rayya et al., 2009; Abubakar et al., 2014; Abu-Rayya Maram et al., 2016; Wright Anna et al., 2018; Oulali et al., 2019; Rose et al., 2019). The six studies all reported Cronbach alpha's of above 0.70 except in one study (Oulali et al., 2019) that reported lower Cronbach's alphas for some subscales in the RCSES. Only one study (Oulali et al., 2019) additionally reported the test-retest reliability of the RCSES (0.36–0.58). Three studies (Abu-Rayya et al., 2009; Abubakar et al., 2014; Oulali et al., 2019) additionally reported the validity of the MRIM, the RCSES, and the new 6-item scale. The reported and established types of validity in these studies include measurement invariance across religious groups, construct, convergent, discriminant, predictive, and incremental validity.
Measures of Peer Connectedness Among Adolescents and Their Psychometric Properties
Supplementary Material 4D presents the measures of adolescent peer connectedness including their frequency of use. In summary, 54 individual measures were used to assess peer connectedness. Of these measures, the HMAC (Karcher, 2001), the BPNS (Ryan and Deci, 2000), the Need for Relatedness Scale (Richer and Vallerand, 1998), the Peer Connectedness Measure from the Add Health Study (Sieving et al., 2001), the Basic Psychological Needs in Exercise Scale (Vlachopoulos and Michailidou, 2006), the Peer Motivational Climate in Youth Sport Questionnaire [peerMCYSQ] (Ntoumanis and Vazou, 2005), and the Relational Provision Loneliness Questionnaire [RPLQ] (Hayden-Thomson, 1989) were the most frequently used measures. Of the 19 studies that used these measures, 18 studies reported their reliability with three studies (Quested et al., 2010; López et al., 2012; Girelli et al., 2019) additionally reporting the validity of the BPNS, the Need for Relatedness Scale, and the peer MCYSQ (Table 6).
Table 6. Psychometric properties of the most frequently used measures of adolescent peer connectedness.
The reported Cronbach's alphas were above 0.70 except in one study (Fin et al., 2019) that reported a Cronbach alpha of 0.62–0.92 for the Basic Psychological Needs in Exercise Scale. Test-retest reliability was additionally assessed only for the peer MCYSQ in only one study (Ntoumanis and Vazou, 2005) and was found to be adequate (0.77). The reported types of validity in the four studies that reported validity were measurement invariance across gender, criterion, content, and construct validity. All the types of validity were adequately established (see Supplementary Material 2). Detailed psychometric properties of all the measures of community connectedness are in Supplementary Material 2.
Although no study assessed the cross-cultural validity of any of these measures, the reported reliability and/or validity in the measures that were used across countries (the BPNS, the Need for Relatedness Scale, and the Basic Psychological Needs in Exercise Scale, the peer MCYSQ), and the RPLQ were all adequate except in only one study (Fin et al., 2019).
Measures of Self-Connectedness Among Adolescents and Their Psychometric Properties
Only six measures were used in six studies (Moller Arlen et al., 2010; Piotrowski, 2013; Mann Michael et al., 2015; Opperman et al., 2015; Snowshoe et al., 2017; McCue et al., 2019) to assess self-connectedness in adolescents. The six measures were individually used once in each study and include the Identity subscale of the Adolescent Personality Style inventory (Lounsbury et al., 2005), the UCLA Loneliness Scale (Russell et al., 1978), the Dimensions of Identity Development Scale (Luyckx et al., 2008), the BPNS (Ryan and Deci, 2000), the HMAC (Karcher, 2001) and a new measure adapted from previous studies (McCue et al., 2019). Of these measures, internal consistency was reported for five of the measures except for the BPNS. The reported internal consistency was adequate (Cronbach's alpha ≥ 0.70) except for the new measure (McCue et al., 2019) and some subscales in the Dimensions of Identity Development Scale (Piotrowski, 2013). No study reported the validity of any of these measures.
General Measures of Adolescent Connectedness and Their Psychometric Properties
In 154 studies, two or more domains of connectedness were assessed concurrently using one measure (Supplementary Material 2). In total, 63 such measures were used across the 154 studies (see Supplementary Material 4E for a list of these measures including their frequency of use). Of these measures, the Social Connectedness Scale (Lee and Robbins, 1995), the HMAC (Karcher, 2001), the EPOCH measure of adolescent wellbeing (Kern Margaret et al., 2016), the BPNS (Ryan and Deci, 2000), and the INQ (Van Orden et al., 2012) were the most frequently used measures. Eighty-one of the included studies used these five measures with 61 of them providing their psychometric properties. We have summarized their psychometric properties in Table 7. Detailed psychometric properties of all the general measures of adolescent connectedness are in Supplementary Material 2.
Table 7. Psychometric properties of the most frequently used general measures of adolescent connectedness.
Of the 61 studies reporting the psychometric properties of these measures, the reported internal consistency of these measures was adequate (Cronbach's alpha ≥ 0.70) across studies except in seven studies (Rew et al., 2001; McWhirter Benedict and McWhirter Ellen, 2011; Yuen and Yau, 2015; Kern Margaret et al., 2016; Sakan, 2020; Vandenkerckhove et al., 2021; Yuen and Datu, 2021). McDonald's Omega was reported for the EPOCH in two studies (Kern Margaret et al., 2019; Maurer et al., 2021) and was found to be adequate (0.75–0.94). In two studies (Holzer et al., 2021; Ingoglia et al., 2021), composite reliability was reported for the EPOCH and the BPNS, respectively. The reported reliabilities in these studies were 0.83 and 0.81, respectively. Test-retest reliability was additionally reported in only one study that used the EPOCH (Kern Margaret et al., 2016). The reported reliability in this study ranged from 0.36 to 0.55.
Eleven of these studies (Karcher and Sass, 2010; McWhirter Benedict and McWhirter Ellen, 2011; Kern Margaret et al., 2016, 2019; Podlogar et al., 2017; Roeder Kathryn and Cole David, 2019; Sakan, 2020; Holzer et al., 2021; Ingoglia et al., 2021; Maurer et al., 2021; Yuen and Datu, 2021) additionally reported the validity of some of these measures. The reported and established types of validity for these measures were measurement invariance across gender and age groups, construct, convergent, concurrent, predictive, discriminant, and cross-cultural validity. In assessing cross-cultural validity, only three of these studies (Karcher and Sass, 2010; Kern Margaret et al., 2019; Holzer et al., 2021) assessed and established the measurement invariance across cultures for the HMAC and the EPOCH (see Table 7 and Supplementary Material 2).
All these measures were used across different countries. Overall, these measures remained reliable and valid (where reported) outside of the countries of origin except the HMAC in three studies (McWhirter Benedict and McWhirter Ellen, 2011; Yuen and Yau, 2015; Yuen and Datu, 2021) and the BPNS in two studies (Sakan, 2020; Vandenkerckhove et al., 2021) that reported poor reliabilities. In two studies (Rew et al., 2001; Kern Margaret et al., 2016) that respectively reported poor reliabilities for the EPOCH and the Social Connectedness Scale, these studies were conducted in the countries in which these measures were developed (Supplementary Material 2).
Discussion
We conducted this review to identify the existing measures of adolescent connectedness, the most frequently used measures among the identified measures, and to summarize the available evidence on the psychometric properties of the identified most frequently used measures. We identified 335 measures used to assess different domains of adolescent connectedness from 960 eligible studies. Most of the included studies (80.5%) were published from 2010 onwards. This re-affirms the growing interest in PYD over the recent years (Qi et al., 2020).
Most of the included studies (72.1%) were majorly from North America and Europe. However, since we only included studies that were published in English, this precludes any conclusions on the distribution of the included studies as well as the dearth of measures of adolescent connectedness in other regions of the world that do not commonly use English.
Most of the identified measures (39.4%, n = 132) were used to assess school connectedness in adolescents. This is consistent with evidence from this review that show that there has been more focus on adolescent school connectedness compared to the other domains of adolescent connectedness since most of the included studies assessed school connectedness. It is possible that there has been more focus on adolescent school connectedness because adolescents spend most of their time at school or engaging in school activities (Morton et al., 2016; Zhao et al., 2021). On the other hand, there were scanty measures of ethnic, racial, cultural, religious/spiritual, and self-connectedness. This highlights a need for more development and/or adaptation of measures of these constructs. The lack of emphasis on some of these domains may also reflect the cultural context in which studies of connectedness have so far been carried out. While many countries within LMICs fall under what has been described as “collectivistic cultures” and are highly spiritual, most of the countries in the HICs groups are the opposite (Cohen et al., 2016). Consequently, it may be anticipated that there will be less emphasis on aspects such as religious/ spiritual connectedness and community connectedness since these domains play a less prominent role in their lives.
From the identified measures, we found a total of 60 measures that were frequently used across the included studies to assess the various domains of adolescent connectedness (see subtopics in the results section). These measures were used in more than half of the included studies (50.1%, n = 481). The preferred usage of these measures may be attributed to the evidence from this review that show the existence of more reliability and/or validity data of these measures compared to other measures. In this review, of the 756 studies that assessed any aspect of connectedness and reported reliability and/or validity, more than half of the reports (52.9%, n = 400) were for these frequently used measures.
Most of the included studies that used the most frequently used measures of adolescent connectedness provided their psychometric properties. Of the 481 included studies that used these measures, 83.2% (n = 400) of them reported an aspect of reliability and/or validity of these measures. From this review, these most frequently used measures appear to be reliable. Of the 400 studies that reported the psychometric properties of these measures, the reported internal consistency ranged from good to excellent (Cronbach's alpha ≥ 0.70) (Cicchetti, 1994) in 89.8% (n = 359) of the studies. However, most of the included studies used Cronbach's alpha instead of McDonald's omega to report internal consistency. This is despite the fact that Cronbach's alpha underestimates the true reliability unless tau-equivalence is achieved for the items (Deng and Chan, 2016). Future studies should strive to assess reliability more using McDonald's omega. Notably, very few studies (n = 3) (Ntoumanis and Vazou, 2005; Kern Margaret et al., 2016; Oulali et al., 2019) reported the test-rest reliability of these measures. Future research should strive to also assess the test-retest reliability of these measures to ascertain their temporal stability. This is especially important if one wants to use these measures in pre-post studies.
These measures also appear to be valid in terms of their measurement invariance, construct, convergent, discriminant, concurrent, face, predictive, content, and criterion validity. Importantly, some of these measures–specifically–the PSSM, the HMAC, the MEIM, and the EPOCH measure of adolescent wellbeing appear to be valid for use across cultures and countries. Seven of the included studies (Spencer et al., 2000; Karcher and Sass, 2010; Abubakar et al., 2016; Hussain Shadab et al., 2018; Kern Margaret et al., 2019; Caqueo-Urizar et al., 2021; Holzer et al., 2021) assessed and demonstrated the cross-cultural validity of these measures. Although limited to only a few studies, this is a great first step in ascertaining that these measures are valid for use in different contexts. A step forward would be more cross-cultural validation of these measures.
Most of these measures have also been used across several countries. In most cases, these measures retained adequate psychometric properties even when used outside of their countries of origin. While this provides a cause for optimism, caution must be exercised when interpreting this finding as this might be limited to the Western settings given the low number of the included studies from regions such as South America and Africa. Furthermore, the non-western studies might have initiated their studies with an etic assumption. Based on this, we have two recommendations. First, every study using any of these measures should try as much as possible to ascertain their psychometric properties. This is especially important given that it is erroneous to conclude that measures are reliable and/or valid in a given setting based on reliability and/or validity evidence from previous studies, a phenomenon called induction of reliability and/or validity (Sánchez-Meca et al., 2011; Merino-Soto and Angulo-Ramos, 2021). This is because tool performance may vary from one study population to another. Second, we need more studies that start from an emic perspective by looking at the cultural adequacy of these constructs.
In our review, we also observed that most of the measures carried out very limited cultural adaptations. Our observations indicated that authors largely translated and back translated the measures without looking out for other important aspects in ensuring cultural adequacy of the measures (van de Vijver and Tanzer, 2004; Abubakar and Van De Vijver, 2017). The lack of detailed evaluation of the extent to which we avoid construct, item and methods bias limits our ability to fully recommend some of the measures for use across different contexts. Further intensive cross-cultural validation of both constructs and items are recommended.
In conclusion, the frequently used measures of adolescent connectedness identified in this review appear to be reliable and valid. However, the reliability and validity evidence of these measures originate from North America and Europe. This reflects a limitation of our review where we only considered studies published in English. It might also be a reflection of the paucity of measures of adolescent connectedness in other regions. Future studies, perhaps a review of this nature without language limitation, are required for clearer insights on whether this observation is due to language bias or the lack of research in other regions of the world.
Limitations of the Review
This review had a limitation worth highlighting. Our eligibility criteria were for studies that have been published in the English language. Therefore, it is possible that we may have left out important work published in other languages.
Conclusions
Several measures assessing adolescent connectedness exist. These measures assess various domains of adolescent connectedness. Among these measures, 60 of them met our criteria for the most frequently used measures. These frequently used measures appear to be reliable and valid measures. However, the evidence of reliability and validity mostly originate from the North American and European contexts. This reflects a limitation of this review which only considered studies published in English. It might also reflect a paucity of research in other regions of the world. Further research is needed for clearer insights.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author Contributions
AA conceptualized the study. ET, EC, AM, and AA developed and refined the search strategy. ET, EC, and AM conducted the database search and screened and extracted data from all included articles. ET wrote the first draft of the manuscript. EC, AM, and AA all critically reviewed the first draft and subsequent revisions of the manuscripts. All authors contributed to the article and approved the initial submitted version. Due to the passing of AM, authors ET, EC, and AA read and approved the final submitted version of the manuscript.
Funding
This research was funded by the Templeton World Charity Foundation award grant (Grant ID: TWCF0506) to AA. The funders had no role in the study's design, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.
Conflict of Interest
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.
Publisher's Note
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.
Acknowledgments
We thank Dr. Derrick Ssewanyana for reviewing this study's proposal and for his help in developing the search strategy.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.856621/full#supplementary-material
References
Abubakar, A., van de Vijver Fons, J. R., Alonso-Arbiol, I., Suryani Angela, O., Pandia Weny, S., Handani, P., et al. (2016). Assessing sense of school belonging across cultural contexts using the PSSM: Measurement and functional invariance. J. Psychoeduc. Assess. 34, 380–388. doi: 10.1177/0734282915607161
Abubakar, A., and Van De Vijver, F. J. (2017). “How to adapt tests for sub-Saharan Africa,” in Handbook of Applied Developmental Science in Sub-Saharan Africa (New York, NY: Springer), 197–212. doi: 10.1007/978-1-4939-7328-6_11
Abubakar, A., van de Vijver, F. J., Mazrui, L., Murugami, M., and Arasa, J. (2014). “Connectedness and psychological well-being among adolescents of immigrant background in Kenya,” in Global Perspectives on Well-Being In Immigrant Families (New York, NY: Springer), 95–111. doi: 10.1007/978-1-4614-9129-3_6
Abu-Rayya Maram, H., Walker, R., White Fiona, A., and Abu-Rayya Hisham, M. (2016). Cultural identification and religious identification contribute differentially to the adaptation of Australian adolescent Muslims. Int. J. Intercult. Relat. 54, 21–33. doi: 10.1016/j.ijintrel.2016.07.002
Abu-Rayya, H. M., Abu-Rayya, M. H., and Khalil, M. (2009). The multi-religion identity measure: A new scale for use with diverse religions. J. Muslim Ment. Health. 4, 124–138. doi: 10.1080/15564900903245683
Acosta, J., Chinman, M., Ebener, P., Malone Patrick, S., Phillips, A., and Wilks, A. (2019). Evaluation of a whole-school change intervention: Findings from a two-year cluster-randomized trial of the restorative practices intervention. J. Youth Adolesc. 48, 876–890. doi: 10.1007/s10964-019-01013-2
Albanesi, C., Cicognani, E., and Zani, B. (2007). Sense of community, civic engagement and social well-being in Italian adolescents. J. Community Appl. Soc. Psychol. 17, 387–406. doi: 10.1002/casp.903
Aldridge Jill, M., Ala'i Kate, G., and Fraser Barry, J. (2016). Relationships between school climate and adolescent students' self-reports of ethnic and moral identity. Learn. Environ. Res. 19, 1–15. doi: 10.1007/s10984-015-9199-9
Anderman, E. M. (2002). School effects on psychological outcomes during adolescence. J. Educ. Psychol. 94, 795–809. doi: 10.1037/0022-0663.94.4.795
Arslan, G., and Duru, E. (2017). Initial development and validation of the school belongingness scale. Child Indic. Res. 10, 1043–1058. doi: 10.1007/s12187-016-9414-y
Asanjarani, F., and Arslan, G. (2020). Measuring the emotional and behavioral problems among iranian students: A psychometric study. JESPAR. 26, 302–315. doi: 10.1080/10824669.2020.1854761
Aydin, B., and Oztütüncü, F. (2001). Examination of adolescents' negative thoughts, depressive mood, and family environment. Adolescence. 36, 77–83.
Bersamin, M., Coulter Robert, W. S., Gaarde, J., Garbers, S., Mair, C., and Santelli, J. (2019). School-based health centers and school connectedness. J. Sch. Health. 89, 11–19. doi: 10.1111/josh.12707
Bolland Kathleen, A., Bolland Anneliese, C., Bolland John, M., Church II Wesley, T., Hooper, Lisa, M., Jaggers Jeremiah, W., et al. (2016). Trajectories of school and community connectedness in adolescence by gender and delinquent behavior. J. Community Psychol. 44, 602–619. doi: 10.1002/jcop.21789
Booker, J. A., Hernandez, E., Talley, K. E., and Dunsmore, J. C. (2022). Connecting with others: Dispositional and situational relatedness during the college transition. J. Soc. Pers. Relatsh. 39, 198–220. doi: 10.1177/02654075211034566
Brandseth, O. L., Håvarstein, M. T., Urke, H. B., Haug, E., and Larsen, T. (2019). Mental well-being among students in Norwegian upper secondary schools: the role of teacher support and class belonging. Norsk Epidemiologi. 28, 49–58. doi: 10.5324/nje.v28i1-2.3050
Caqueo-Urizar, A., Flores, J., Mena-Chamorro, P., Urzua, A., and Irarrazaval, M. (2021). Ethnic identity and life satisfaction in indigenous adolescents: the mediating role of resilience. Child Youth Serv. Rev. 120. doi: 10.1016/j.childyouth.2020.105812
Cardeli, E., Phan, J., Mulder, L., Benson, M., Adhikari, R., and Ellis, B. H. (2020). Bhutanese refugee youth: the importance of assessing and addressing psychosocial needs in a school setting. J. Sch. Health 90, 731–742. doi: 10.1111/josh.12935
Carlo, G., Padilla-Walker Laura, M., and Day Randal, D. (2011). A test of the economic strain model on adolescents' prosocial behaviors. J. Res. Adolesc. 21, 842–848. doi: 10.1111/j.1532-7795.2011.00742.x
Chapman, R. L., Buckley, L., Sheehan, M., and Shochet, I. (2013). School-based programs for increasing connectedness and reducing risk behavior: a systematic review. Educ. Psychol. Rev. 25, 95–114. doi: 10.1007/s10648-013-9216-4
Chavis, D. M., Hogge, J. H., McMillan, D. W., and Wandersman, A. (1986). Sense of community through Brunswik's lens: a first look. J. Community Psychol. 14, 24–40. doi: 10.1002/1520-6629(198601)14:1<24::AID-JCOP2290140104>3.0.CO;2-P
Chipuer, H. M., Bramston, P., and Pretty, G. (2003). Determinants of subjective quality of life among rural adolescents: a developmental perspective. Soc. Indic. Res. 61, 79–95. doi: 10.1023/A:1021271831731
Chipuer, H. M., Pretty, G. M. H., Delorey, E., Miller, M. J., Powers, T., Rumstein, O., et al. (1999). The neighbourhood youth inventory: development and validation. J. Community Appl. Soc. Psychol. 9, 355–368. doi: 10.1002/(SICI)1099-1298(199909/10)9:5<355::AID-CASP511>3.0.CO;2-6
Cicchetti, D. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol. Assessm. 6, 284–290. doi: 10.1037/1040-3590.6.4.284
Cicognani, E., Zani, B., and Albanesi, C. (2008). Sense of community in adolescence. Glob J. Community Psychol. Pract. 3, 118–125.
Cohen, A. B., Wu, M. S., and Miller, J. (2016). Religion and culture: individualism and collectivism in the East and West. J. Cross-Cult. Psychol. 47, 1236–1249. doi: 10.1177/0022022116667895
Cowden Richard, G., Govender, K., Oppong, A., Kwaku, R. C., and George, G. (2018). Validation of the perceived sense of school membership scale: a South African Version. J. Psychoeduc. Assess. 36, 411–417. doi: 10.1177/0734282916678495
Dandy, J., Durkin, K., McEvoy, P., Barber, B. L., and Houghton, S. (2008). Psychometric properties of multigroup ethnic identity measure (MEIM) scores with Australian adolescents from diverse ethnocultural groups. J. Adolesc. 31, 323–335. doi: 10.1016/j.adolescence.2007.06.003
DeCarlo, A. (2005). Identity matters: a new intervention threshold for social work practitioners working with African American adolescents. Child Adolesc. Soc. Work J. 22, 35–55. doi: 10.1007/s10560-005-2553-5
Deng, L., and Chan, W. (2016). Testing the difference between reliability coefficients alpha and omega. Educ. Psychol. Meas. 77, 185–203. doi: 10.1177/0013164416658325
Dornbusch, S., Erickson, K. G., Laird, J., and Wong, C. (2001). The relation of family and school attachment to adolescent deviance in diverse groups and communities. J. Adolesc. Res. 16, 396–422. doi: 10.1177/0743558401164006
Dwairy, M. (2003). Validation of multigenerational interconnectedness scale among Arab adolescents. Psychological Reports, 93(3 Pt 1), 697–704. doi: 10.2466/pr0.2003.93.3.697
Dwairy, M., Achoui, M., Abouserie, R., and Farah, A. (2006). Parenting styles, individuation, and mental health of Arab adolescents: a third cross-regional research study. J. Cross-Cult. Psychol. 37, 262–272. doi: 10.1177/0022022106286924
Dwairy, M., and Dor, A. (2009). Parenting and psychological adjustment of adolescent immigrants in Israel. J. Fam. Psychol. 23, 416–425. doi: 10.1037/a0015830
Dwairy, M., and Menshar, K. E. (2006). Parenting style, individuation, and mental health of Egyptian adolescents. J. Adolesc. 29, 103–117. doi: 10.1016/j.adolescence.2005.03.002
Ellinger, J., Mess, F., Blaschke, S., and Mall, C. (2022). Health-related quality of life, motivational regulation and Basic Psychological Need Satisfaction in Education Outside the Classroom: an explorative longitudinal pilot study. BMC Public Health. 22. doi: 10.1186/s12889-021-12450-9
Espelage Dorothy, L., Rose Chad, A., and Polanin Joshua, R. (2016). Social-emotional learning program to promote prosocial and academic skills among middle school students with disabilities. Remedial Spec. Educ. 37, 323–332. doi: 10.1177/0741932515627475
Espelage, D. L., Leemis, R. W., Niolon, P. H., Kearns, M., Basile, K. C., and Davis, J. P. (2020). Teen dating violence perpetration: protective factor trajectories from middle to high school among adolescents. J. Res. Adolesc. 30, 170–188. doi: 10.1111/jora.12510
Fin, G., Moreno-Murcia, J. A., León, J., Baretta, E., and Nodari, R. J. (2019). Interpersonal autonomy support style and its consequences in physical education classes. PLoS ONE. 14. doi: 10.1371/journal.pone.0216609
Fletcher, A. C., and Shaw, R. A. (2000). Sex differences in associations between parental behaviors and characteristics and adolescent social integration. Soc. Dev. 9, 133–148. doi: 10.1111/1467-9507.00116
Galliher, R. V., Jones, M. D., and Dahl, A. (2011). Concurrent and longitudinal effects of ethnic identity and experiences of discrimination on psychosocial adjustment of navajo adolescents. Dev. Psychol. 47, 509–526. doi: 10.1037/a0021061
Gavazzi, S., and Sabatelli, R. (1987). Assessing levels of individuation through multigenerational interconnectedness. Atlanta: Paper presented at the National council of family relations 49th annual conference.
Girelli, L., Cavicchiolo, E., Lucidi, F., Cozzolino, M., Alivernini, F., and Manganelli, S. (2019). Psychometric properties and validity of a brief scale measuring basic psychological needs satisfaction in adolescents. J. Educ. Cult. Psychol. Stud. 20, 215–229. doi: 10.7358/ecps-2019-020-gire
Gnambs, T., and Hanfstingl, B. (2016). The decline of academic motivation during adolescence: an accelerated longitudinal cohort analysis on the effect of psychological need satisfaction. Educ. Psychol. 36, 1691–1705. doi: 10.1080/01443410.2015.1113236
Goodenow, C. (1993). The psychological sense of school membership among adolescents: Scale development and educational correlates. Psychol. Sch. 30, 79–90. doi: 10.1002/1520-6807(199301)30:1<79::AID-PITS2310300113>3.0.CO;2-X
Group. (1999). Multidimensional Measurement of Religiousness/Spirituality for Use in Health Research. John E. Fetzer Institute.
Hagerty, B. M., and Patusky, K. (1995). Developing a measure of sense of belonging. Nurs Res 44, 9–13. doi: 10.1097/00006199-199501000-00003
Hayden-Thomson, L. (1989). The development of the Relational Provisions Loneliness Questionnaire for children. (dissertation). Waterloo, Ontario, Canada: University of Waterloo.
Hilario Carla, T., Vo Dzung, X., Johnson Joy, L., and Saewyc Elizabeth, M. (2014). Acculturation, gender, and mental health of southeast Asian immigrant youth in Canada. J. Immigr. Minor Health. 16, 1121–1129. doi: 10.1007/s10903-014-9978-x
Hishinuma, E. S., Andrade, N. N., Johnson, R. C., McArdle, J. J., Miyamoto, R. H., Nahulu, L. B., et al. (2000). Psychometric properties of the Hawaiian Culture Scale–Adolescent Version. Psychol. Assess. 12, 140–157. doi: 10.1037/1040-3590.12.2.140
Holder, D. W., DuRant, R. H., Harris, T. L., Daniel, J. H., Obeidallah, D., and Goodman, E. (2000). The association between adolescent spirituality and voluntary sexual activity. J. Adolesc. Health. 26, 295–302. doi: 10.1016/S1054-139X(99)00092-0
Holzer, J., Luftenegger, M., Kaser, U., Korlat, S., Pelikan, E., Schultze-Krumbholz, A., et al. (2021). Students' basic needs and well-being during the COVID-19 pandemic: A two-country Study of basic psychological need satisfaction, intrinsic learning motivation, positive emotion and the moderating role of self-regulated learning. Int. J. Psychol. 56, 843–852. doi: 10.1002/ijop.12763
Hussain Shadab, F., Domingue Benjamin, W., LaFromboise, T., and Ruedas-Gracia, N. (2018). Conceptualizing school belongingness in native youth: Factor analysis of the Psychological Sense of School Membership Scale. Am. Indian Alsk. Native Ment. Health Res. 25, 26–51. doi: 10.5820/aian.2503.2018.26
Ingoglia, S., Liga, F., Lo Coco, A., and Inguglia, C. (2021). Informant discrepancies in perceived parental psychological control, adolescent autonomy, and relatedness psychological needs. J. Appl.Dev. Psychol. 77. doi: 10.1016/j.appdev.2021.101333
Ingram Katherine, M., Espelage Dorothy, L., Merrin Gabriel, J., Valido, A., Heinhorst, J., and Joyce, M. (2019). Evaluation of a virtual reality enhanced bullying prevention curriculum pilot trial. J. Adolesc. 71, 72–83. doi: 10.1016/j.adolescence.2018.12.006
Jose Paul, E., Ryan, N., and Pryor, J. (2012). Does social connectedness promote a greater sense of well-being in adolescence over time? J. Res. Adolesc. 22, 235–251. doi: 10.1111/j.1532-7795.2012.00783.x
Joyce Hilary, D., and Early Theresa, J. (2014). The impact of school connectedness and teacher support on depressive symptoms in adolescents: A multilevel analysis. Child Youth Serv. Rev. 39, 101–107. doi: 10.1016/j.childyouth.2014.02.005
Karcher, M. (2001). “The hemingway: Measure of adolescent connectedness-validation studies,” in Paper Presented at the Annual Conference of the American Psychological Association (San Francisco, CA).
Karcher, M. J., and Sass, D. (2010). A multicultural assessment of adolescent connectedness: testing measurement invariance across gender and ethnicity. J. Couns. Psychol. 57, 274–289. doi: 10.1037/a0019357
Kern Margaret, L., Steinberg Elizabeth, A., Benson, L., and Steinberg, L. (2016). The EPOCH measure of adolescent well-being. Psychol. Assess. 28, 586–597. doi: 10.1037/pas0000201
Kern Margaret, L., Zeng, G., Hou, H., and Peng, K. (2019). The Chinese Version of the EPOCH Measure of Adolescent Well-Being: Testing Cross-Cultural Measurement Invariance. J. Psychoeduc. Assess. 37, 757–769. doi: 10.1177/0734282918789561
Kiang, L., and Fuligni, A. J. (2009). Ethnic identity and family processes among adolescents from latin American, Asian, and European backgrounds. J. Youth Adolesc. 38, 228–241. doi: 10.1007/s10964-008-9353-0
King, C., Phillips, C. E., Kivisalu, T. M., and O'Toole, S. K. (2015). A reliability generalization of the racial identity attitudes scale (RIAS), black racial identity attitudes scale (BRIAS), people of color racial identity attitudes scale (PRIAS), and white racial identity attitudes scale (WRIAS). Race, Gender Class. 22, 150–172.
King, J., Masotti, P., Dennem, J., Hadani, S., Linton, J., Lockhart, B., et al. (2019). The culture is prevention project: adapting the cultural connectedness scale for multi-tribal communities. Am. Indian Alsk. Native Ment. Health Res. (Online) 26, 104–135. doi: 10.5820/aian.2603.2019.104
Lam Un, F., Chen, W.-W., Zhang, J., and Liang, T. (2015). It feels good to learn where I belong: School belonging, academic emotions, and academic achievement in adolescents. Sch. Psychol. Int. 36, 393–409. doi: 10.1177/0143034315589649
Langille, D. B., Asbridge, M., Cragg, A., and Rasic, D. (2015). Associations of school connectedness with adolescent suicidality: Gender differences and the role of risk of depression. Can. J. Psychiatry. 60, 258–267. doi: 10.1177/070674371506000604
Law, P. C., Cuskelly, M., and Carroll, A. (2013). Young people's perceptions of family, peer, and school connectedness and their impact on adjustment. Aust. J. Rehabil. Couns. 23, 115–140. doi: 10.1017/jgc.2012.19
Lee, R. M., and Robbins, S. B. (1995). Measuring belongingness: the Social Connectedness and the Social Assurance scales. J. Couns. Psychol. 42, 232–241. doi: 10.1037/0022-0167.42.2.232
López, W., Jeanette, B. I, Castillo, I., and Tristán, J. (2012). Autonomy support, basic psychological needs and well-being in Mexican athletes. Span. J. Psychol. 15, 1283–1292. doi: 10.5209/rev_SJOP.2012.v15.n3.39414
Lounsbury, J. W., Huffstetler, B. C., Leong, F. T., and Gibson, L. W. (2005). Sense of identity and collegiate academic achievement. J. Coll. Stud. Dev. 46, 501–514. doi: 10.1353/csd.2005.0051
Luyckx, K., Schwartz, S. J., Berzonsky, M. D., Soenens, B., Vansteenkiste, M., Smits, I., et al. (2008). Capturing ruminative exploration: Extending the four-dimensional model of identity formation in late adolescence. J. Res. Pers. 42, 58–82. doi: 10.1016/j.jrp.2007.04.004
Mandara, J., Gaylord-Harden Noni, K., Richards Maryse, H., and Ragsdale Brian, L. (2009). The effects of changes in racial identity and self-esteem on changes in African American adolescents mental health. Child Dev. 80, 1660–1675. doi: 10.1111/j.1467-8624.2009.01360.x
Mann Michael, J., Smith Megan, L., and Kristjansson Alfgeir, L. (2015). Improving academic self-efficacy, school connectedness, and identity in struggling middle school girls: a preliminary study of the REAL girls program. Health Educ. Behav. 42, 117–126. doi: 10.1177/1090198114543005
Mastrotheodoros, S., Kornienko, O., Umaña-Taylor, A., and Motti-Stefanidi, F. (2021). Developmental interplay between ethnic, national, and personal identity in immigrant adolescents. J. Youth Adolesc. 50, 1126–1139. doi: 10.1007/s10964-021-01434-y
Maurer, M. M., Daukantaite, D., and Hoff, E. (2021). Testing the psychometric properties of the Swedish version of the EPOCH measure of adolescent well-being. PLoS ONE. 16. doi: 10.1371/journal.pone.0259191
McCay, E., Quesnel, S., Langley, J., Beanlands, H., Cooper, L., Blidner, R., et al. (2011). A relationship-based intervention to improve social connectedness in street-involved youth: a pilot study. J. Child Adolesc. Psychiatr. Nurs. 24, 208–215. doi: 10.1111/j.1744-6171.2011.00301.x
McCue, R., McCormack, T., McElnay, J., Alto, A., and Feeney, A. (2019). The future and me: Imagining the future and the future self in adolescent decision making. Cognit. Dev. 50, 142–156. doi: 10.1016/j.cogdev.2019.04.001
McNeely, C. A., Nonnemaker, J. M., and Blum, R. W. (2002). Promoting school connectedness: evidence from the national longitudinal study of adolescent health. J. Sch. Health 72, 138–146. doi: 10.1111/j.1746-1561.2002.tb06533.x
McWhirter Benedict, T., and McWhirter Ellen, H. (2011). Connectedness among Chilean adolescents: Factor analysis of the Hemingway Measure of Adolescent Connectedness. Psykhe: Revista de la Escuela de Psicología. 20, 45–62. doi: 10.4067/S0718-22282011000100004
Merino-Soto, C., and Angulo-Ramos, M. (2021). Metric studies of the compliance questionnaire on rheumatology (CQR): A case of validity induction? Reumatologia clinica. doi: 10.1016/j.reumae.2021.03.006
Moller Arlen, C., Deci Edward, L., and Elliot Andrew, J. (2010). Person-level relatedness and the incremental value of relating. Personal. Soc. Psychol. Bull. 36, 754–767. doi: 10.1177/0146167210371622
Monahan, K. C., Oesterle, S., and Hawkins, J. (2010). Predictors and consequences of school connectedness: the case for prevention. Prev. Res. 17, 3–6. doi: 10.1037/e597072010-002
Morton, K. L., Atkin, A. J., Corder, K., Suhrcke, M., and van Sluijs, E. M. F. (2016). The school environment and adolescent physical activity and sedentary behaviour: a mixed-studies systematic review. Obesity Rev. 17, 142–158. doi: 10.1111/obr.12352
Mueller Christian, E., Bridges Sara, K., and Goddard Michelle, S. (2011). Sleep and parent-family connectedness: Links, relationships and implications for adolescent depression. J. Child Fam. Stud. 17, 9–23. doi: 10.5172/jfs.2011.17.1.9
Niehaus, K., Rudasill Kathleen, M., and Rakes Christopher, R. (2012). A longitudinal study of school connectedness and academic outcomes across sixth grade. J. Sch. Psychol. 50, 443–460. doi: 10.1016/j.jsp.2012.03.002
Ntoumanis, N., and Vazou, S. (2005). Peer Motivational Climate in Youth Sport: Measurement development and validation. J. Sport Exerc. Psychol. 27, 432–455. doi: 10.1123/jsep.27.4.432
Olson, D., Portner, J., and Bell, R. (1982). Family adaptability and cohesion evaluation scales (FACES II). St Paul: University of Minnesota, Family Social Services.
Opperman, K., Czyz Ewa, K., Gipson Polly, Y., and King Cheryl, A. (2015). Connectedness and perceived burdensomeness among adolescents at elevated suicide risk: An examination of the interpersonal theory of suicidal behavior. Arch. Suicide Res. 19, 385–400. doi: 10.1080/13811118.2014.957451
Oulali, I., Bos, H., van den Akker, A., Fukkink Ruben, G., Merry Michael, S., and Overbeek, G. (2019). Development and validation of the religious collective self-esteem scale for children. Psychol. Relig. 11, 188–202. doi: 10.1037/rel0000145
Parker, G., Tupling, H., and Brown, L. B. (1979). A parental bonding instrument. Br. J. Health Psychol. 52, 1–10. doi: 10.1111/j.2044-8341.1979.tb02487.x
Phinney, J. S. (1992). The multigroup ethnic identity measure: a new scale for use with diverse groups. J. Adolesc. Res. 7, 156–176. doi: 10.1177/074355489272003
Piotrowski, K. (2013). Identity in adolescence and emerging adulthood: relationships with emotional and educational factors. Pol. Psychol. Bull. 44, 266–276. doi: 10.2478/ppb-2013-0030
Podlogar, T., Žiberna, J., Poštuvan, V., and Kerr David, C. R. (2017). Belongingness and burdensomeness in adolescents: Slovene translation and validation of the Interpersonal Needs Questionnaire. Suicide Life Threat Behav. 47, 336–352. doi: 10.1111/sltb.12276
Poteat, V. P., and Espelage Dorothy, L. (2007). Predicting psychosocial consequences of homophobic victimization in middle school students. J. Early Adolesc. 27, 175–191. doi: 10.1177/0272431606294839
Prelow Hazel, M., Bowman Marvella, A., and Weaver Scott, R. (2007). Predictors of psychosocial well-being in urban African American and European American youth: The role of ecological factors. J. Youth Adolesc. 36, 543–553. doi: 10.1007/s10964-006-9038-5
Qi, S., Hua, F., Zhou, Z., and Shek, D. T. L. (2020). Trends of positive youth development publications (1995–2020): a scientometric review. Appl. Res. Qual. Life. doi: 10.1007/s11482-020-09878-3
Quested, E., Duda, J. L., Quested, E., and Duda Joan, L. (2010). Exploring the social-environmental determinants of well- and ill-being in dancers: a test of basic needs theory. J Sport. Exerc. Psychol. 32, 39–60. doi: 10.1123/jsep.32.1.39
Rapee, R. M., Forbes, M. K., Oar, E. L., Richardson, C. E., Johnco, C. J., Magson, N. R., et al. (2020). Testing a concurrent model of social anxiety in preadolescence. Int. J. Behav. Dev. 44, 505–514. doi: 10.1177/0165025420912014
Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J., et al. (1997). Protecting adolescents from harm. Findings from the national longitudinal study on adolescent health. JAMA. 278, 823–832. doi: 10.1001/jama.1997.03550100049038
Resnick, M. D., Harris, L. J., and Blum, R. W. (1993). The impact of caring and connectedness on adolescent health and well-being. J. Paediatr. Child Health. 29, S3–9. doi: 10.1111/j.1440-1754.1993.tb02257.x
Rew, L., Thomas, N., Horner, S. D., Resnick, M. D., and Beuhring, T. (2001). Correlates of recent suicide attempts in a triethnic group of adolescents. J. Nurs. Scholarsh. 33, 361–367. doi: 10.1111/j.1547-5069.2001.00361.x
Richer, S. F., and Vallerand, R. J. (1998). Construction et validation de l'échelle du sentiment d'appartenance sociale (ÉSAS). Eur. Rev. Appl. Psychol. 48, 129–138.
Rieckmann Traci, R., Wadsworth Martha, E., and Deyhle, D. (2004). Cultural identity, explanatory style, and depression in navajo adolescents. Cultur. Divers Ethnic. Minor Psychol. 10, 365–382. doi: 10.1037/1099-9809.10.4.365
Roeder Kathryn, M., and Cole David, A. (2019). Simultaneous longitudinal examination of hopelessness, thwarted belongingness, and perceived burdensomeness as predictors of suicide ideation. Suicide Life Threat. Behav. 49, 1058–1071. doi: 10.1111/sltb.12508
Rose Chad, A., Simpson Cynthia, G., and Ellis Stephanie, K. (2016). The relationship between school belonging, sibling aggression and bullying involvement: Implications for students with and without disabilities. Educ. Psychol. 36, 1462–1486. doi: 10.1080/01443410.2015.1066757
Rose, T., McDonald, A., Von Mach, T., Witherspoon Dawn, P., and Lambert, S. (2019). Patterns of social connectedness and psychosocial wellbeing among African American and Caribbean Black adolescents. J. Youth Adolesc. 48, 2271–2291. doi: 10.1007/s10964-019-01135-7
Russell, D., Peplau, L. A., and Ferguson, M. L. (1978). Developing a measure of loneliness. J. Pers. Assess. 42, 290–294. doi: 10.1207/s15327752jpa4203_11
Ryan, R. M., and Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, Soc. Dev., and well-being. Am. Psycholog. 55, 68–78. doi: 10.1037/0003-066X.55.1.68
Sakan, D. (2020). Validation of the basic psychological need satisfaction and frustration scale (BPNSFS) on adolescents in Serbia. Curr. Psychol. 41, 1–14. doi: 10.1007/s12144-020-00742-z
Sampson, R. J., Morenoff, J. D., and Earls, F. (1999). Beyond social capital: Spatial dynamics of collective efficacy for children. Am. Soc. Rev. 64, 633–660. doi: 10.2307/2657367
Sampson, R. J., Raudenbush, S. W., and Earls, F. (1997). Neighborhoods and violent crime: a multilevel study of collective efficacy. Science. 277, 918–924. doi: 10.1126/science.277.5328.918
Sánchez-Meca, J., López-Pina, J. A., López-López, J. A., Marín-Martínez, F., Rosa-Alcázar, A. I., and Gómez-Conesa, A. (2011). The Maudsley obsessive-compulsive inventory: a reliability generalization meta-analysis. Int. J. Psychol. Psycholog. Ther. 11, 473–493.
Scottham, K. M., Sellers, R. M., and Nguyên, H. X. (2008). A measure of racial identity in African American adolescents: the development of the Multidimensional Inventory of Black Identity–Teen. Cultur. Divers. Ethnic Minor Psychol. 14, 297–306. doi: 10.1037/1099-9809.14.4.297
Sellers Robert, M., Copeland-Linder, N., Martin Pamela, P., and Lewis, R. L. H. (2006). Racial identity matters: the relationship between racial discrimination and psychological functioning in African American adolescents. J. Res. Adolesc. 16, 187–216. doi: 10.1111/j.1532-7795.2006.00128.x
Shek, D. T., Dou, D., Zhu, X., and Chai, W. (2019). Positive youth development: current perspectives. Adolesc. Health, Med. Ther. 10, 131–141. doi: 10.2147/AHMT.S179946
Sieving, R. E., Beuhring, T., Resnick, M. D., Bearinger, L. H., Shew, M., Ireland, M., et al. (2001). Development of adolescent self-report measures from the National Longitudinal Study of Adolescent Health. J. Adoles. Health. 28, 73–81. doi: 10.1016/S1054-139X(00)00155-5
Snowshoe, A., Crooks, C., Tremblay, P., Hinson, R., Crooks Claire, V., Tremblay Paul, F., et al. (2017). Cultural connectedness and its relation to mental wellness for first nations youth. J Prim Prev. 38, 67–86. doi: 10.1007/s10935-016-0454-3
Snowshoe, A., Crooks, C. V., Tremblay, P. F., Craig, W. M., and Hinson, R. E. (2015). Development of a cultural connectedness scale for first nations youth. Psychol. Assess. 27, 249–259. doi: 10.1037/a0037867
Spencer, M. S., Icard, L. D., Harachi, T. W., Catalano, R. F., and Oxford, M. (2000). Ethnic identity among monoracial and multiracial early adolescents. J. Early Adolescen. 20, 365–387. doi: 10.1177/0272431600020004001
Steiner, R. J., Sheremenko, G., Lesesne, C., Dittus, P. J., Sieving, R. E., and Ethier, K. A. (2019). Adolescent connectedness and adult health outcomes. Pediatrics. 144. doi: 10.1542/peds.2018-3766
Stuart, J., and Jose Paul, E. (2014). The protective influence of family connectedness, ethnic identity, and ethnic engagement for new zealand maori adolescents. Dev. Psychol. 50, 1817–1826. doi: 10.1037/a0036386
Sun, J., Dunne Michael, P., Hou, X.-,y., and Xu, A.-,q. (2013). Educational stress among Chinese adolescents: Individual, family, school and peer influences. Educ. Rev. 65, 284–302. doi: 10.1080/00131911.2012.659657
Tabbah, R., Chung Jessica, J., and Miranda Antoinette, H. (2016). Ethnic identity and discrimination: An exploration of the rejection-identification model in Arab American adolescents. Identity. 16, 319–334. doi: 10.1080/15283488.2016.1231609
Thumann Barbara, F., Nur, U., Naker, D., and Devries Karen, M. (2016). Primary school students' mental health in Uganda and its association with school violence, connectedness, and school characteristics: a cross-sectional study. BMC Public Health. 16, 1–11. doi: 10.1186/s12889-016-3351-z
Tomek, S., Burton, S., Hooper Lisa, M., Bolland, A., and Bolland, J. (2018). Suicidality in Black American youth living in impoverished neighborhoods: Is school connectedness a protective factor? School Ment. Health. 10, 1–11. doi: 10.1007/s12310-017-9241-4
Tropp, L. R., Erkut, S., Coll, C. G., Alarcón, O., and Vázquez García, H. A. (1999). Psychological acculturation: development of a new measure for puerto ricans on the U.S. Mainland. Educ. Psychol. Meas. 59, 351–367. doi: 10.1177/00131649921969794
Umaña-Taylor, A. J., Yazedjian, A., and Bámaca-Gómez, M. (2004). Developing the ethnic identity scale using eriksonian and social identity perspectives. Identity. 4, 9–38. doi: 10.1207/S1532706XID0401_2
Unger, D. G., McLeod, L. E., Brown, M. B., and Tressell, P. A. (2000). The role of family support in interparental conflict and adolescent academic achievement. J. Child Fam. Stud. 9, 191–202. doi: 10.1023/A:1009419005136
Unger, J. B., Gallaher, P., Shakib, S., Ritt-Olson, A., Palmer, P. H., and Johnson, C. A. (2002). The AHIMSA acculturation scale: a new measure of acculturation for adolescents in a multicultural society. J. Early Adolesc. 22, 225–251. doi: 10.1177/02731602022003001
van de Vijver, F., and Tanzer, N. K. (2004). Bias and equivalence in cross-cultural assessment: An overview. Eur. Rev. Appl. Psychol. 54, 119–135. doi: 10.1016/j.erap.2003.12.004
Van Orden, K. A., Cukrowicz, K. C., Witte, T. K., and Joiner, T. E. (2012). Thwarted belongingness and perceived burdensomeness: construct validity and psychometric properties of the Interpersonal Needs Questionnaire. Psychol. Assess. 24, 197–215. doi: 10.1037/a0025358
Vandenkerckhove, B., Soenens, B., Flamant, N., Luyten, P., Campbell, R., and Vansteenkiste, M. (2021). Daily ups and downs in adolescents' depressive symptoms: the role of daily self-criticism, dependency and basic psychological needs. J. Adolesc. 91, 97–109. doi: 10.1016/j.adolescence.2021.07.005
Vlachopoulos, S. P., and Michailidou, S. (2006). Development and initial validation of a measure of autonomy, competence, and relatedness in exercise: the basic psychological needs in exercise scale. Meas Phys Educ Exerc Sci. 10, 179–201. doi: 10.1207/s15327841mpee1003_4
Wagle, R., Dowdy, E., Nylund-Gibson, K., Sharkey, J. D., Carter, D., and Furlong, M. J. (2021). School belonging constellations considering complete mental health in primary schools. Educ. Dev. Psychol. 38, 173–185. doi: 10.1080/20590776.2021.1964071
Wallace Scyatta, A., and Fisher Celia, B. (2007). Substance use attitudes among urban black adolescents: The role of parent, peer, and cultural factors. J. Youth Adolesc. 36, 441–451. doi: 10.1007/s10964-006-9099-5
Weber, S., Appel, M., and Kronberger, N. (2015). Stereotype threat and the cognitive performance of adolescent immigrants: the role of cultural identity strength. Contemporary Educ. Psychol. 42, 71–81. doi: 10.1016/j.cedpsych.2015.05.001
Wills, T. A., Murry, V. M., Brody, G. H., Gibbons, F. X., Gerrard, M., Walker, C., et al. (2007). Ethnic pride and self-control related to protective and risk factors: test of the theoretical model for the Strong African American Families program. Health Psycho. 26, 50–59. doi: 10.1037/0278-6133.26.1.50
Winters, K. C., Henly, G. A., and Cuq, C. U. Q. (1989). Personal Experience Inventory (PEI) A Measure of Substance Abuse in Adolescents. Los Angeles, CA: Western Psychological Services.
Wolsko, C., Mohatt, G. V., Lardon, C., and Burket, R. (2009). Smoking, chewing, and cultural identity: prevalence and correlates of tobacco use among the Yup'ik-The Center for Alaska Native Health Research (CANHR) study. Cultur. Divers. Ethnic. Minor Psychol. 15, 165–172. doi: 10.1037/a0015323
Wright Anna, W., Yendork Joana, S., and Kliewer, W. (2018). Patterns of spiritual connectedness during adolescence: Links to coping and adjustment in low-income urban youth. J. Youth Adolesc. 47, 2608–2624. doi: 10.1007/s10964-018-0886-6
Yuen, M., and Yau, J. (2015). Relation of career adaptability to meaning in life and connectedness among adolescents in Hong Kong. J. Vocational Behav. 91, 147–156. doi: 10.1016/j.jvb.2015.10.003
Yuen, M. T., and Datu, J. A. D. (2021). Meaning in life, connectedness, academic self-efficacy, and personal self-efficacy: a winning combination. Sch. Psychol. Int. 42, 79–99. doi: 10.1177/0143034320973370
Keywords: connectedness, adolescents, measures, psychometrics, scoping review
Citation: Too EK, Chongwo E, Mabrouk A and Abubakar A (2022) Adolescent Connectedness: A Scoping Review of Available Measures and Their Psychometric Properties. Front. Psychol. 13:856621. doi: 10.3389/fpsyg.2022.856621
Received: 17 January 2022; Accepted: 25 April 2022;
Published: 18 May 2022.
Edited by:
Laura Badenes-Ribera, University of Valencia, SpainReviewed by:
Gerrit Hirschfeld, Bielefeld University of Applied Sciences, GermanyCesar Merino-Soto, Universidad de San Martin de Porres, Peru
Copyright © 2022 Too, Chongwo, Mabrouk and Abubakar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ezra K. Too, ZXpyYS50b28mI3gwMDA0MDtha3UuZWR1
†Deceased