The Sense of Community Index 2 (SCI-2)<\/strong> represents the principal, empirically validated revision of the most widely utilized quantitative measurement tool in community psychology: the original Sense of Community<\/a> Index (SCI). Developed by David M. Chavis, Kien S. Lee, and Joie D. Acosta (2008), building upon the foundational conceptual framework established by David W. McMillan and David M. Chavis (1986), the SCI-2 was engineered to overcome the psychometric, structural, and distributional limitations observed in the original 12-item binary instrument. Grounded in the multidimensional theory of Psychological Sense of Community (PSOC), the instrument operationalizes the construct across four interrelated theoretical dimensions: Reinforcement of Needs<\/em> (integration and fulfillment of needs), Membership<\/em>, Influence<\/em>, and Shared Emotional Connection<\/em>.<\/p>\n The SCI-2 comprises an initial single-item continuous validator evaluating the overarching personal importance of feeling a sense of community, followed by 24 core psychometric items divided equally across the four theoretical subscales (six items per factor). Responses are captured using a 4-point Likert-type response scale ranging from 0 (Not at All<\/em>) to 3 (Completely<\/em>), generating a cumulative composite score ranging from 0 to 72 alongside distinct subscale scores ranging from 0 to 18. Psychometric evaluations across diverse geographical, workplace, academic, and virtual populations demonstrate robust internal consistency, with total scale Cronbach’s alpha coefficients typically exceeding α = .94, and subscale coefficients consistently falling between α = .79 and .90. Confirmatory factor analyses (CFA) have confirmed both a hierarchical second-order model and a four-factor correlated structure, making the SCI-2 a psychometric gold standard for assessing social cohesion, collective efficacy, organizational climate, and civic well-being across diverse ecological settings<\/span>.<\/p>\n Sense of Community Index 2, SCI-2, Psychological Sense of Community, McMillan and Chavis, community psychology, social cohesion, membership, reinforcement of needs, collective efficacy, psychometrics, scale validation, community attachment<\/p>\n The Sense of Community Index 2 was authored and validated by a team of prominent community psychologists and researchers associated with Community Science<\/a> (Gaithersburg, Maryland, USA) in collaboration with academic institutions:<\/p>\n The revised instrument builds directly on the foundational theoretical contributions of David W. McMillan, Ph.D.<\/strong> (Vanderbilt University) and was introduced internationally at the 2nd International Community Psychology Conference in Lisboa, Portugal (Chavis, Lee, & Acosta, 2008).<\/p>\n The primary purpose of the Sense of Community Index 2 (SCI-2) is to provide an empirically robust, psychometrically sound, and theoretically congruent measurement tool designed to assess an individual’s perceived psychological connection, integration, and mutual interdependence within a specified social grouping or geographical setting. While Seymour B. Sarason (1974) first identified the “psychological sense of community” as the defining overarching conceptual value of community psychology, empirical research was initially constrained by the absence of standardized measurement instruments capable of isolating its subcomponents.<\/p>\n In 1986, Chavis, Hogge, McMillan, and Wandersman introduced the original 12-item Sense of Community Index (SCI-1). Although the SCI-1 became the most cited scale in community psychology literature—deployed in hundreds of investigations exploring neighborhoods, intentional communities, schools, and professional associations—it frequently presented psychometric challenges. Methodological reviews (e.g., Chipuer & Pretty, 1999; Long & Perkins, 2003) revealed that the original true\/false response format generated restricted variance, skewed response distributions, and suboptimal subscale internal consistency reliabilities, with alpha coefficients for individual subscales frequently dropping below .60. Furthermore, several items exhibited structural ambiguity, failing to differentiate cleanly during confirmatory factor modeling.<\/p>\n The SCI-2 was engineered to resolve these psychometric limitations while maintaining fidelity to McMillan and Chavis’s (1986) four-factor conceptual paradigm. By expanding the scale to 24 items (six per dimension) and implementing a graduated 4-point response metric (Not at All<\/em>, Somewhat<\/em>, Mostly<\/em>, Completely<\/em>), the instrument accomplishes several distinct clinical, organizational, and research objectives:<\/p>\n The psychological construct operationalized by the SCI-2 is Psychological Sense of Community (PSOC)<\/strong>. Rather than defining community purely as a bounded geographic locality or an administrative district, PSOC represents a relational phenomenon defined as a feeling that members have of belonging, a feeling that members matter to one another and to the group, and a shared faith that members’ needs will be met through their commitment to be together (McMillan & Chavis, 1986). The SCI-2 captures this complex latent construct through four interrelated yet empirically separable dimensions:<\/p>\n This dimension reflects the degree to which an individual perceives that membership in the community provides positive reinforcement, shared values, and the tangible or intangible resources necessary to satisfy personal and collective motivations. Drawing from behavioral reinforcement theory and social exchange paradigms, this construct posits that for a group to maintain cohesion, the association must be mutually rewarding for its constituents. The SCI-2 operationalizes this dimension via six items assessing whether members experience mutual value congruence, whether the collective environment effectively satisfies individual goals, whether emotional support is accessible during times of personal crisis, and whether members share unified developmental priorities.<\/p>\n Membership constitutes the feeling of personal belonging, psychological relatedness, and shared emotional safety within the social group. McMillan and Chavis conceptualized membership as encompassing five foundational attributes: clear boundaries that establish who belongs and who does not, emotional safety and interpersonal trust, a sense of belonging and personal acceptance, individual investment (time, psychological effort, or financial resources), and a shared symbol system (such as logos, behavioral rituals, common idioms, or physical landmarks). The SCI-2 assesses this construct through items measuring mutual recognition among members, interpersonal trust, the internalization of community membership as an integral element of personal identity, and the presence of shared communicative and cultural symbols.<\/p>\n The dimension of Influence represents a bidirectional, transactional social dynamic: on one hand, it assesses the member’s perceived capacity to exert meaningful influence over the group’s direction, norms, and collective policies; on the other hand, it measures the community’s normative influence over the individual’s behavior, conformity, and adherence to shared standards. Additionally, the SCI-2 expands this dimension to capture collective agency—the group’s capacity to influence external environments, institutions, or other communities, alongside perceptions of community leadership efficacy and collaborative problem-solving capacities.<\/p>\n Shared Emotional Connection is widely regarded as the affective core of the sense of community construct. It represents the psychological bond forged through shared historical experience, continuous high-quality interaction, collective investment, and shared temporal narratives. This subscale reflects the extent to which community members have navigated meaningful historical events together (including collective celebrations, holidays, or shared crises and disasters), the subjective enjoyment derived from time spent together, expectations of prolonged long-term association, mutual emotional caring, and shared optimism regarding the community’s future trajectory.<\/p>\n The foundational architecture of the SCI-2 is derived from the seminal conceptual model formulated by David W. McMillan and David M. Chavis (1986)<\/a>, which established a systematic taxonomy for psychological sense of community. This model emerged as a direct theoretical response to Seymour Sarason’s (1974) warning regarding the erosion of traditional community life in industrialized societies. McMillan and Chavis integrated social psychological principles—including Kurt Lewin’s field theory, Leon Festinger’s cognitive dissonance and social comparison theories, and Morton Deutsch’s work on interpersonal trust and cooperation—into a dynamic, systemic framework.<\/p>\n The theoretical framework rests upon several foundational ontological and epistemological assumptions:<\/p>\n In refining the model for the SCI-2, Chavis, Lee, and Acosta (2008) addressed theoretical ambiguities in how “boundaries” and “influence” operated within increasingly permeable, non-geographical, and multicultural communities. By introducing explicit indicators evaluating shared leadership, external advocacy, and symbolic manifestations of identity, the theoretical foundation of the SCI-2 accommodates both modern virtual associations and traditional place-based collectivities.<\/p>\n Extensive empirical investigations have documented the psychometric validity of the SCI-2 across a diverse array of demographic samples, organizational environments, and cultural contexts. The instrument has undergone rigorous evaluations examining construct, convergent, discriminant, and criterion-related validity.<\/p>\n In the primary validation investigation conducted by Chavis, Lee, and Acosta (2008)—utilizing a large and diverse sample of over 1,800 participants representing community-based coalitions, neighborhoods, and voluntary associations—the SCI-2 demonstrated robust construct validity. Structural equation modeling substantiated that the 24 items effectively mapped onto the four theoretical dimensions hypothesized by McMillan and Chavis, with all items exhibiting high, statistically significant factor loadings on their designated latent factors (standardized λ ranging from .58 to .88).<\/p>\n The convergent validity of the SCI-2 has been established through consistent, statistically significant positive correlations with conceptually aligned psychosocial constructs:<\/p>\n Discriminant validity has been demonstrated by showing that the SCI-2 assesses a construct distinct from generalized social support, extraversion, or broad positive affectivity. For example, correlations between the SCI-2 and general perceived social support (e.g., MSPSS; Zimet et al., 1988) remain moderate (typically r<\/em> = .35 to .48), demonstrating that institutional and collective belonging is conceptually distinct from dyadic interpersonal support. Furthermore, the scale demonstrates robust negative correlations with standardized measures of social alienation, interpersonal loneliness (UCLA Loneliness Scale; Russell, 1996; r<\/em> = -.51 to -.64, p<\/em> < .001), and psychological distress (K10; r<\/em> = -.30 to -.42)<\/span>.<\/p>\n Longitudinal and cross-sectional studies demonstrate that SCI-2 scores reliably predict meaningful community-level outcomes. Higher SCI-2 scores predict lower residential turnover intentions, greater participation in disaster recovery coalitions, increased adherence to public health guidelines during crises, and enhanced academic persistence among first-generation university students.<\/p>\n The Sense of Community Index 2 resolved the psychometric vulnerability that characterized the original 12-item index: unstable internal consistency reliabilities across subscales. Across published validation studies, the SCI-2 exhibits excellent reliability coefficients:<\/p>\n In the foundational validation dataset reported by Chavis, Lee, and Acosta (2008), the overall 24-item SCI-2 demonstrated an exceptional internal consistency reliability coefficient:<\/p>\n Subsequent independent replications across alternative settings have reinforced these findings. In a validation of the SCI-2 adapted for academic virtual learning environments, overall scale reliability remained high (α = .95), with subscale alphas ranging from .81 to .89. Similarly, adaptations in workplace organizations have produced composite alphas ranging from .93 to .96. In contrast to the original SCI-1, where subscale alphas frequently dropped below .60, no subscale of the SCI-2 routinely falls below the accepted psychometric benchmark of α = .70<\/span>.<\/p>\n Studies examining the temporal stability of the SCI-2 across non-interventional baseline periods (ranging from two to eight weeks) demonstrate strong test-retest reliability coefficients. Intra-class correlation coefficients (ICC) for the overall score consistently range from .82 to .91, indicating that while sense of community is responsive to major structural, organizational, or environmental disruptions, it operates as a stable socio-cognitive perception in the absence of external perturbations.<\/p>\n Extensive exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) have confirmed the underlying structural topology of the SCI-2. The instrument was developed using maximum likelihood and robust weighted least squares (WLSMV) estimation techniques appropriate for ordinal Likert-type data.<\/p>\n During initial scale development, principal axis factoring with promax (oblique) rotation was conducted to evaluate the 24 candidate items. Results revealed a clear four-factor solution accounting for over 58% of the total variance. Factor intercorrelations were moderate to high (ranging from r<\/em> = .48 to .72), affirming that while the four subscales assess distinct theoretical dimensions, they converge onto a higher-order latent construct representing global sense of community<\/span>.<\/p>\n Subsequent confirmatory structural models have tested multiple competing structural configurations:<\/p>\n Standardized factor loadings across validation studies show strong item-to-factor alignment:<\/p>\n The operational administration parameters, structural design, and diagnostic scoring protocols of the SCI-2 are summarized below:<\/p>\n The Sense of Community Index 2 (SCI-2) was finalized and formally released in 2008<\/strong> by David M. Chavis, Kien S. Lee, and Joie D. Acosta at Community Science. The instrument is copyrighted by Community Science (© 2008 Community Science, Gaithersburg, MD).<\/p>\n Licensing and Usage Conditions:<\/strong><\/p>\n The following peer-reviewed publications, monographs, and foundational studies document the theoretical evolution and psychometric validation of the SCI and SCI-2:<\/p>\n Initial Validator Question:<\/p>\n How important is it to you to feel a sense of community with other community members?<\/p>\n Response Options:<\/strong> 1 = Prefer Not to be Part of This Community, 2 = Not Important at All, 3 = Not Very Important, 4 = Somewhat Important, 5 = Important, 6 = Very Important<\/span><\/p>\n<\/p><\/div>\n Rating Scale for Core Items 1 to 24:<\/p>\n 0<\/strong> = Not at All | 1<\/strong> = Somewhat | 2<\/strong> = Mostly | 3<\/strong> = Completely<\/span><\/p>\n<\/p><\/div>\nKeywords<\/h2>\n
Authors<\/h2>\n
\n
Purpose<\/h2>\n
\n
Psychological Construct<\/h2>\n
1. Reinforcement of Needs (Integration and Fulfillment of Needs)<\/h3>\n
2. Membership<\/h3>\n
3. Influence<\/h3>\n
4. Shared Emotional Connection<\/h3>\n
Theoretical Framework<\/h2>\n
\n
Validity<\/h2>\n
Construct Validity<\/h3>\n
Convergent Validity<\/h3>\n
\n
Discriminant Validity<\/h3>\n
Criterion and Predictive Validity<\/h3>\n
Reliability<\/h2>\n
Internal Consistency (Cronbach’s Alpha)<\/h3>\n
\n
Test-Retest Reliability<\/h3>\n
Factor Analysis<\/h2>\n
Exploratory Factor Analysis (EFA)<\/h3>\n
Confirmatory Factor Analysis (CFA)<\/h3>\n
\n
\n
Instrument \/ Measurement Tool<\/h2>\n
\n
\n
\n
\n
\n
\n
\n
Permissions & Fee and Test Year<\/h2>\n
\n
References<\/h2>\n
\n
Items of the Scale<\/h2>\n
Reinforcement of Needs (Items 1 – 6)<\/h3>\n
\n
Membership (Items 7 – 12)<\/h3>\n
\n