The Fear of Missing Out Scale<\/a> (FoMOs), developed by Andrew K. Przybylski<\/a>, Kou Murayama, Cody R. DeHaan, and Valerie Gladwell in 2013, represents the foundational psychometric instrument designed to operationalize and empirically measure the construct of “fear of missing out” (FoMO). Conceptualized as a pervasive apprehension that others might be having rewarding experiences from which one is absent, FoMO is characterized by the desire to stay continuously connected with what others are doing. Grounded in Self-Determination Theory<\/a> (SDT), the scale evaluates deficits in psychological need satisfaction\u2014specifically autonomy, competence, and relatedness\u2014and quantifies how these deficits manifest as anxiety-driven social monitoring, compulsive social media engagement, and behavioral dysregulation.<\/p>\n The FoMOs is a unidimensional, 10-item self-report questionnaire evaluated on a 5-point Likert-type response scale ranging from 1 (“Not at all true of me”) to 5 (“Extremely true of me”). Across diverse international samples and developmental cohorts, the instrument demonstrates robust psychometric properties, consistently exhibiting high internal consistency (Cronbach’s $\\alpha = .87$<\/span> to $.90$<\/span>) and stable test-retest reliability. Confirmatory factor analyses across numerous demographic contexts replicate its unidimensional latent factor structure, demonstrating strong factor loadings ($lambda = .55$<\/span> to $.82$<\/span>) and favorable model fit indices (CFI > .95, RMSEA < .06). The scale shows robust convergent validity with indices of problematic smartphone usage, social media addiction, negative affectivity, depression, and general anxiety, alongside divergent validity against unrelated personality traits. As the gold-standard instrument in digital well-being research, the FoMOs provides critical insights into the affective and behavioral mechanisms driving hyperconnectivity, cyber-distraction, sleep disruption, and compromised psychological health in contemporary digital environments<\/span>.<\/p>\n Fear of Missing Out, FoMOs, Self-Determination Theory, social media addiction, problematic smartphone use, digital well-being, psychological need satisfaction, social comparison, psychometrics, scale validation<\/p>\n The Fear of Missing Out Scale was conceptualized, operationalized, and psychometrically validated by a collaborative team of researchers in psychology, human behavior, and sports and exercise science:<\/p>\n Prior to the seminal work by Przybylski et al. (2013)<\/a>, the phrase “Fear of Missing Out” was largely a colloquial cultural meme popularized in marketing spheres, mass media, and early internet culture. The explicit purpose behind the engineering of the FoMOs was to bridge the gap between popular discourse and rigorous psychological science by providing an empirically grounded, validated, and psychometrically sound measurement tool. The authors sought to systematically conceptualize FoMO not as an isolated technological byproduct, but as a self-regulatory deficit rooted in fundamental psychological vulnerabilities.<\/p>\n The instrument was engineered to achieve three overarching objectives:<\/p>\n In clinical, educational, and organizational applications, the FoMOs serves as a diagnostic screening instrument to evaluate digital compulsive behaviors. It enables researchers to identify populations vulnerable to online social fatigue, technological burnout, and cyberbullying sensitivities, while providing a clear quantitative benchmark for assessing digital detox protocols, cognitive-behavioral therapies (CBT), and mindfulness interventions aimed at decoupling technology reliance from self-worth.<\/p>\n The psychological construct captured by the Fear of Missing Out Scale is defined as a pervasive apprehension that others might be having rewarding experiences from which one is absent<\/em> (Przybylski et al., 2013<\/a>). It operates simultaneously as a cognitive preoccupation, an affective distress state, and a behavioral imperative to maintain continuous interpersonal surveillance.<\/p>\n The construct encompasses several interconnected dimensions that operate within an individual’s self-regulatory framework:<\/p>\n While the FoMOs was operationalized primarily as an enduring dispositional trait reflecting individual sensitivity to social exclusion, subsequent research has demonstrated that FoMO exhibits both trait-like stability and state-like fluctuations. Trait FoMO reflects a chronic baseline of social anxiety and relational insecurity, whereas state FoMO can be acutely activated by specific contextual cues, such as algorithmic notifications, temporary geographic isolation, or periods of developmental transition (e.g., entering university).<\/p>\n The foundational theoretical architecture underlying the FoMOs is Self-Determination Theory<\/a> (SDT; Deci & Ryan, 1985, 2000). SDT posits that optimal human functioning, psychological vitality, and subjective well-being are contingent upon the continuous fulfillment of three basic psychological needs:<\/p>\n According to the motivational cascade modeled by Przybylski and colleagues, when an individual’s social environment fails to satisfy these basic needs, self-regulatory resources deplete, leading to compensatory psychological maneuvers. Low baseline satisfaction of autonomy, competence, and relatedness yields heightened subjective vulnerability. Individuals experiencing such deficits frequently perceive their offline existence as impoverished or disconnected. Consequently, digital communication technologies and social networks present an ostensibly effortless, omnipresent arena to seek simulated or compensatory need satisfaction.<\/p>\n However, because online interactions frequently trigger upward social comparisons and surface curated depictions of others’ idyllic experiences, this compensatory pursuit backfires. Rather than resolving relational hunger, continuous immersion in digital feeds exacerbates the perception that one’s peers are enjoying superior social rewards. The FoMO construct thereby functions as a self-regulatory vulnerability: low psychological need satisfaction leads to heightened FoMO, which catalyzes compulsive social media consumption, further undermining authentic well-being in a recurring, maladaptive self-regulatory loop.<\/p>\n The Fear of Missing Out Scale has undergone exhaustive empirical scrutiny to evaluate its psychometric integrity across multiple dimensions of validity:<\/p>\n In the original validation studies encompassing diverse demographic cross-sections ($N > 3,000$<\/span>), the 10-item unidimensional structure demonstrated exceptional construct validity. Invariance testing confirmed that the single-factor model operated consistently across genders and broad age brackets, establishing that the latent variable captures an identical psychological construct regardless of demographic segmentation (Przybylski et al., 2013<\/a>).<\/p>\n The FoMOs demonstrates strong and theoretically coherent convergent correlations with a broad spectrum of psychopathological and behavioral indices:<\/p>\n Discriminant validity has been substantiated by comparing FoMO scores against established personality dimensions from the Big Five Inventory<\/a>. FoMO is empirically distinct from general extraversion ($r \\approx .05$<\/span> to $.12$<\/span>, non-significant to weak) and open-mindedness ($r < .08$<\/span>). Although moderately correlated with neuroticism ($r = .30$<\/span> to $.40$<\/span>), latent variable modeling demonstrates that FoMO accounts for unique variance in technological engagement and daily distractions above and beyond trait neuroticism or generalized social anxiety disorder.<\/p>\n The scale possesses remarkable predictive validity in naturalistic and experimental settings. High scores on the FoMOs prospectively predict:<\/p>\n The psychometric reliability of the FoMOs has been rigorously documented across numerous large-scale replications, cross-cultural adaptations, and longitudinal research designs:<\/p>\n In the original psychometric evaluation by Przybylski et al. (2013)<\/a>, internal consistency reliability coefficients (Cronbach’s $\\alpha$<\/span>) ranged from $.87$<\/span> to $.90$<\/span> across nationally representative samples in the United Kingdom and the United States. Subsequent independent validations have consistently corroborated these parameters:<\/p>\n Mean inter-item correlations reliably hover between $.35$<\/span> and $.55$<\/span>, satisfying the optimal psychometric criteria for homogeneous item pools without introducing semantic redundancy or narrow item bloat.<\/p>\n Evaluation of temporal stability across intervals ranging from two weeks to three months reveals robust test-retest coefficients. Intra-class correlation coefficients (ICC) and Pearson’s $r$<\/span> over a 4-week window routinely exceed $r = .78$<\/span> ($p < .001$<\/span>), confirming that dispositional FoMO represents a stable cognitive-affective trait over time, while remaining appropriately responsive to intensive behavioral or therapeutic interventions.<\/p>\n The latent dimensionality of the FoMOs was established through sequential exploratory and confirmatory analytic frameworks:<\/p>\n During initial instrument engineering, Przybylski et al. drafted a candidate pool of over 30 candidate items reflecting various social worries, technological dependencies, and interpersonal apprehensions. Principal axis factoring with oblique rotations (Promax) consistently isolated a dominant primary eigenvalue accounting for over $48%$<\/span> of the total variance, with subsequent eigenvalues dropping drastically below Kaiser’s criterion ($lambda < 1.0$<\/span>), demonstrating a steep scree plot inflection point. Iterative item pruning retained 10 items exhibiting primary factor loadings exceeding $.50$<\/span>, with negligible cross-loadings, establishing a coherent unidimensional latent construct.<\/p>\n Subsequent confirmatory factor analyses on independent national and international datasets have repeatedly substantiated the single-factor latent structure. Model fit evaluations consistently satisfy standard structural equation modeling (SEM) thresholds:<\/p>\n Standardized factor loadings ($lambda$<\/span>) for all 10 items in the calibrated CFA models range from $.55$<\/span> to $.82$<\/span>. Items probing direct social exclusion concerns (e.g., “I get worried when I find out my friends are having fun without…” and “I get anxious when I don’t know what my friends are up…”) routinely display the highest standardized loadings ($lambda > .75$<\/span>), confirming their status as central indicators of the core latent trait.<\/p>\n The Fear of Missing Out Scale (FoMOs) is structured as follows:<\/p>\n The Fear of Missing Out Scale was originally published in 2013<\/strong> by Andrew K. Przybylski and colleagues in the journal Computers in Human Behavior<\/em>. Under the terms set forth by the primary authors, the FoMOs is made freely accessible for personal, non-commercial, and academic research purposes without fee or licensing constraints, provided that the foundational validation study is formally and accurately cited.<\/p>\n For commercial deployment, organizational diagnostic integration, or inclusion within proprietary for-profit applications and technologies, explicit formal permission and commercial licensing agreements must be secured directly from the copyright holders and corresponding authors.<\/p>\n Below is a curated selection of key peer-reviewed literature detailing the development, psychometric evaluation, and empirical application of the Fear of Missing Out Scale:<\/p>\n A comprehensive academic psychometric profile of the Fear of Missing Out Scale (FoMOs) developed by Przybylski et al. (2013), exploring its theoretical foundation in Self-Determination Theory, factorial validity, reliability, and clinical utility.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[171,169,2,79],"tags":[21986,27009,366,27011,27010,6,57,346],"class_list":["post-9144","psych_scale","type-psych_scale","status-publish","hentry","category-cyberpsychology","category-psychological-assessments","category-psychometrics","category-social-psychology","tag-digital-well-being","tag-fear-of-missing-out-scale","tag-fomo","tag-problematic-smartphone-use","tag-przybylski","tag-psychometrics","tag-self-determination-theory","tag-social-media-addiction"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/9144","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9144"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/9144\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9144"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9144"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Keywords<\/h2>\n
Authors<\/h2>\n
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Purpose<\/h2>\n
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Psychological Construct<\/h2>\n
Cognitive and Affective Facets<\/h3>\n
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State Versus Trait Dimensions<\/h3>\n
Theoretical Framework<\/h2>\n
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Validity<\/h2>\n
Construct and Structural Validity<\/h3>\n
Convergent Validity<\/h3>\n
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Discriminant Validity<\/h3>\n
Criterion and Predictive Validity<\/h3>\n
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Reliability<\/h2>\n
Internal Consistency<\/h3>\n
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Test-Retest Stability<\/h3>\n
Factor Analysis<\/h2>\n
Exploratory Factor Analysis (EFA)<\/h3>\n
Confirmatory Factor Analysis (CFA)<\/h3>\n
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Instrument \/ Measurement Tool<\/h2>\n
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Permissions & Fee and Test Year<\/h2>\n
References<\/h2>\n
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13. Items of the Scale (Questionnaire)<\/h2>\n