Frequency of Forgetting Scale-10 (FOF-10)

Dr. Mohammed Looti An academic and researcher specialized in
PUBLISHED
Scientifically Reviewed · Dr. Marwa Abd-Alazim · September 23, 2026
Medically & Scientifically Reviewed Verified: September 23, 2026
Dr. Marwa Abd-Alazim PhD in Psychology
Faculty Member • University of Kerbala
Review Criteria & Clinical Standards

This content undergoes rigorous scientific peer-review and medical editorial standards at Arab Psychology Network to ensure clinical accuracy, validity, and compliance with evidence-based guidelines from leading psychological and healthcare authorities (APA / WHO).

{n “title”: “Frequency of Forgetting Scale-10 (FOF-10)”,n “content”: “

Abstract

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The Frequency of Forgetting Scale-10 (FOF-10) is an abbreviated, psychometrically robust psychometric instrument developed by Elizabeth M. Zelinski and Michael J. Gilewski. Calibrated using modern item response theory—specifically the Rasch model—the scale evaluates individuals’ subjective perceptions of everyday memory failures and memory self-efficacy. Originally derived from the 64-item Memory Functioning Questionnaire (MFQ), the FOF-10 distills the assessment of everyday memory complaints into a concise, unidimensional, 10-item inventory. The instrument assesses common cognitive lapses across diverse daily contexts, including difficulty recalling names, faces, misplaced objects, navigational directions, intended actions (prospective lapses), reading comprehension retention, and remote autobiographical recall.

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Each item is rated on a 7-point Likert scale, with response anchors customized across specific item clusters (ranging from 1 = Major problems / Always / Very bad to 7 = No problems / Never / Very good). The total score ranges from 10 to 70, wherein higher scores correspond to fewer perceived forgetting episodes and heightened subjective memory self-efficacy. Extensive psychometric evaluations demonstrate high internal consistency (Cronbach’s α ranging between .83 and .89; Rasch person separation reliability = .81), strong test-retest stability across multi-year longitudinal assessments, and rigorous infit and outfit statistics conforming to unidimensional Rasch expectations. The FOF-10 demonstrates robust convergent validity through moderate associations with objective memory performance measures (e.g., word list recall, paragraph retention) and strong correlations with comprehensive metamemory batteries. Concurrently, it maintains discriminant validity from affective distress variables such as depressive symptoms and trait anxiety. The scale is widely implemented in cognitive aging research, clinical neuropsychology, and epidemiological investigations of subjective cognitive decline (SCD), offering an efficient, low-burden assessment of subjective memory functioning.

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Keywords

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Frequency of Forgetting Scale-10, FOF-10, Metamemory, Subjective Cognitive Decline, Memory Self-Efficacy, Rasch Analysis, Cognitive Aging, Memory Functioning Questionnaire, Everyday Memory, Neuropsychological Assessment

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Authors

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The Frequency of Forgetting Scale-10 (FOF-10) was conceptualized, validated, and published by:

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  • Elizabeth M. Zelinski, Ph.D. — Professor of Gerontology and Psychology, Leonard Davis School of Gerontology, University of Southern California (USC), Los Angeles, California, USA. Dr. Zelinski is an internationally renowned cognitive gerontologist recognized for her extensive longitudinal research on adult cognitive development, memory plasticity, and subjective memory appraisals across the lifespan.
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  • Michael J. Gilewski, Ph.D. — Clinical Neuropsychologist and Research Associate, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA. Dr. Gilewski’s scholarship focuses on clinical assessment, psychological measurement, the intersection of affective status and memory performance, and the psychometric modeling of self-reported memory complaints in clinical and non-clinical populations.
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Purpose

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The primary purpose of the Frequency of Forgetting Scale-10 (FOF-10) is to provide a brief, psychometrically calibrated measure of subjective everyday memory functioning and memory self-efficacy. While traditional neuropsychological evaluations rely predominantly on objective cognitive performance indicators—such as standardized word lists, paired associates, and narrative recall tests—such tasks frequently fail to capture the subtle, ecologically valid cognitive breakdowns that individuals encounter within their natural environments. Metamemory instruments bridge this assessment gap by quantifying self-perceived cognitive competence and the frequency of daily cognitive lapses.

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Historically, comprehensive metamemory instruments like the 64-item Memory Functioning Questionnaire (MFQ; Gilewski et al., 1990) or the Metamemory in Adulthood (MIA) questionnaire imposed considerable respondent burden, making them cumbersome for inclusion in extensive clinical intake evaluations, large-scale multi-domain epidemiological cohorts, or longitudinal studies involving frail older adults. Zelinski and Gilewski (2004) developed the FOF-10 to directly overcome these limitations. Utilizing Rasch psychometric modeling, they isolated the 10 most informative, non-redundant items from the broader MFQ that reliably map onto a continuous, unidimensional continuum of subjective memory capability.

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In clinical practice, the FOF-10 serves as an initial screening instrument and diagnostic adjunct for evaluating subjective cognitive decline (SCD). SCD is widely recognized as an early symptomatic manifestation along the continuum of mild cognitive impairment (MCI) and preclinical Alzheimer’s disease. The tool allows clinicians to document the presence, severity, and ecological scope of a patient’s perceived memory complaints. Furthermore, because subjective memory complaints are modulated by affective disorders, the scale aids neuropsychologists in teasing apart the contributions of genuine cognitive degradation from depressive pseudo-dementia or anxiety-related hypervigilance. In academic research, the FOF-10 provides a low-burden, interval-scaled metric suitable for tracking cognitive intervention outcomes, evaluating cognitive training efficacy, and modeling developmental trajectories across the adult lifespan.

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Psychological Construct

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The FOF-10 measures subjective memory functioning and memory self-efficacy, which represent core dimensions of the broader psychological domain of metacognition. Metamemory encompasses an individual’s introspective knowledge, beliefs, attitudes, and evaluations regarding their own memory system and its functional operational capacities. Within this construct, perceived frequency of forgetting reflects the self-monitored occurrence of encoding, storage, and retrieval failures across real-world behavioral demands.

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Although mathematically modeled as a unidimensional latent trait under the Rasch paradigm, the behavioral content captured by the FOF-10 samples several distinct phenomenology domains of everyday remembering:

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  • Global Memory Appraisal: The instrument commences with a macro-level self-evaluation of overall memory competence (Item 1), prompting respondents to synthesize their daily cognitive efficacy relative to the magnitude of problems encountered.
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  • Ecological Retrieval of Social and Environmental Information: Everyday prospective and retrospective memory tasks frequently require the fast retrieval of arbitrary associations. The FOF-10 directly measures lapses in accessing proper names (Item 2) and facial recognition/retrieval (Item 3)—domains that are notoriously vulnerable to normal age-related cognitive slowing and associative deficits.
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  • Spatial and Environmental Memory: Items addressing spatial localization, such as misplacing common personal objects (Item 4) and navigational disorientation (Item 5), assess spatial memory integrity and visual-spatial working memory capacity.
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  • Prospective Memory and Intentional Action: Item 6 captures lapses in working memory and executive intention execution: formulating an intention to act, initiating the action, and abruptly forgetting the intended objective. This phenomenon represents a classic failure of working memory updating and prospective memory monitoring.
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  • Working Memory and Discourse Comprehension: Reading extended prose demands sustained online text processing, syntactic integration, and temporary buffer maintenance. Items 7, 8, and 10 assess immediate working memory breakdown while reading narrative novels, specifically measuring whether the respondent loses the semantic representation of the preceding sentence or paragraph.
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  • Remote Autobiographical/Episodic Retention: Item 9 queries the fidelity of episodic recall across medium-to-long-term temporal intervals (events occurring between one and five years prior), tapping into the consolidation and long-term retrieval systems of autobiographical memory.
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Collectively, these operationalized behaviors represent an ecological sampling of the cognitive architecture. Rather than indexing hypothetical laboratory constructs, the FOF-10 captures the functional friction individuals experience when internal cognitive resources fall short of environmental demands.

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Theoretical Framework

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The conceptual foundation of the FOF-10 is situated at the intersection of metacognitive theory, social cognitive theory, and latent trait psychometrics.

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In classical metacognitive theory, formulated initially by John H. Flavell and later elaborated by Nelson and Narens (1990), cognitive processing is partitioned into two interdependent tiers: the object-level (elementary cognitive operations such as encoding, storage, and decoding) and the meta-level (a mental model that monitors and controls object-level operations). The FOF-10 evaluates the monitoring feedback loop within this framework. When individuals encounter retrieval failures, metamemory monitoring registers the discrepancy between the desired memory retrieval and actual cognitive output. Over time, recurring monitoring signals coalesce into generalized beliefs regarding one’s memory decline, stability, or competence.

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From the perspective of Albert Bandura‘s social cognitive theory, the construct assessed by the FOF-10 corresponds closely to memory self-efficacy—an individual’s confidence in their ability to successfully execute memory-demanding tasks in varied contexts. Self-efficacy beliefs are dynamic cognitive appraisals informed by performance accomplishments, physiological states, affective states, and social comparisons. An individual who perceives their frequency of forgetting to be exceptionally high experiences attenuated self-efficacy, which can catalyze maladaptive behavioral modifications: premature cognitive disengagement, avoidance of mentally challenging activities, heightened performance anxiety, and the self-fulfilling prophecy of impaired performance on objective memory tasks.

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Finally, the scale is theoretically grounded in Item Response Theory (IRT), specifically the single-parameter logistic (Rasch) measurement model. Traditional Classical Test Theory (CTT) assumes that all items contribute equally to a construct and produces ordinal, sample-dependent raw score sums. Conversely, Rasch modeling assumes that the probability of a specific response is a logistic function of the distance between the person’s latent memory capability (θ) and the item’s intrinsic difficulty parameter (β). Zelinski and Gilewski applied Rasch analysis to verify that the 10 selected items map linearly along a genuine interval-level continuum. This theoretical framework ensures that the scale measures a single, invariant psychological continuum across different demographic strata and clinical classifications.

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Validity

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The construct, convergent, discriminant, and predictive validity of the FOF-10 have been extensively substantiated across diverse adult cohorts, spanning young adults, community-dwelling older adults, and clinical samples presenting with cognitive complaints.

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Construct and Factorial Validity

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Construct validity was established through Rasch calibration (Zelinski & Gilewski, 2004). The 10 items were demonstrated to operate along a coherent unidimensional latent trait. Item calibration values span a broad continuum of difficulty, capturing mild forgetfulness (e.g., forgetting where one put things or forgetting names) through severe cognitive breakdowns (e.g., forgetting the sentence immediately preceding the one currently being read). Rasch fit diagnostics—specifically mean square infit and outfit statistics—consistently fell within the optimal psychometric boundaries of 0.70 to 1.30, confirming that each item contributes uniquely and consistently to the underlying construct without contaminating dimensionality.

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Convergent Validity

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Convergent validity has been established by correlating FOF-10 performance with extensive metamemory batteries and objective cognitive tests. The FOF-10 correlates strongly with its parent instrument, the 64-item Memory Functioning Questionnaire, exhibiting correlation coefficients exceeding r = .85 with the primary MFQ Frequency of Forgetting subscale. Furthermore, the scale demonstrates statistically significant, moderate correlations (typically ranging from r = .25 to .42, p < .001) with standardized objective memory performance indices, including:

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These moderate associations are theoretically congruent with psychometric expectations in metamemory research: subjective appraisals should relate to actual cognitive performance, yet maintain sufficient variance reflecting distinct metacognitive beliefs and compensatory strategies.

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Discriminant Validity

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Discriminant validity has been demonstrated by evaluating the relationship between FOF-10 scores and non-memory psychological constructs. Although subjective memory complaints are moderately associated with depressive symptomatology and generalized anxiety (due to negative cognitive appraisal biases common in dysphoric states), multiple regression and structural equation models reveal that the FOF-10 retains significant independent variance attributable specifically to memory self-efficacy after controlling for Geriatric Depression Scale (GDS) and State-Trait Anxiety Inventory (STAI) scores. Furthermore, the scale shows near-zero correlations with unrelated physical health parameters, visual acuity, and general personality traits such as extraversion.

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Predictive and Longitudinal Validity

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Longitudinal studies (e.g., Zelinski, Gilewski, & Schaie, 1993; Zelinski & Burnight, 1997) demonstrate that lower subjective ratings on the frequency of forgetting continuum predict subsequent 3-year and 16-year longitudinal declines in objective cognitive performance among older adults. In clinical neuropsychology contexts, baseline FOF-10 scores reliably differentiate healthy controls from individuals who subsequently progress to mild cognitive impairment or early neurodegenerative disorders.

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Reliability

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The FOF-10 exhibits excellent psychometric reliability across diverse sampling methods, age strata, and administrative environments.

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  • Internal Consistency: Across multiple validation cohorts, the scale demonstrates robust internal consistency. In the foundational validation study by Zelinski and Gilewski (2004), Cronbach’s alpha (α) was reported at .86. Subsequent cross-validation investigations in community and clinical samples have documented alpha coefficients consistently situated between .83 and .89, indicating high internal coherence without excessive item redundancy.
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  • Rasch Person and Item Reliability: Under the Rasch measurement framework, person separation reliability—analogous to traditional internal consistency—was computed at .81, confirming that the instrument successfully discriminates between persons with high versus low perceived memory functioning across at least three distinct performance strata. Rasch item separation reliability exceeded .95, confirming that the hierarchical item difficulty ordering is highly stable and invariant across diverse respondent demographics.
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  • Test-Retest Stability: Temporal stability has been evaluated over both brief clinical re-evaluation intervals and long-term longitudinal windows. Over a standard 4-to-6-week retest window, the intraclass correlation coefficient (ICC) exceeded .82, demonstrating excellent measurement stability in the absence of clinical interventions. Over longer intervals (e.g., 3-year follow-up assessments in the Seattle Longitudinal Study cohorts; Zelinski et al., 1993), stability coefficients remained moderate to high (r ≈ .65 to .72), reflecting both the structural trait-like nature of memory self-efficacy and its sensitivity to age-associated cognitive changes.
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Factor Analysis

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The structural dimensionality of the FOF-10 has been rigorously tested using both Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and modern Item Response Theory (IRT) paradigms.

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Exploratory and Confirmatory Factor Analyses

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During the structural condensation of the parent 64-item Memory Functioning Questionnaire, exploratory factor analyses initially revealed four primary dimensions: General Frequency of Forgetting, Seriousness of Forgetting, Retrospective Functioning, and Mnemonics Usage. The items selected for the FOF-10 were intentionally isolated to represent a pure, highly targeted manifestation of the General Frequency of Forgetting construct.

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Subsequent Confirmatory Factor Analyses on the 10-item scale confirmed a well-fitting unidimensional structural model. In structural equation modeling evaluations, the single-factor model demonstrated exceptional fit indices:

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  • Comparative Fit Index (CFI): .962
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  • Tucker-Lewis Index (TLI): .951
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  • Root Mean Square Error of Approximation (RMSEA): .048 (90% Confidence Interval: [.036, .061])
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  • Standardized Root Mean Square Residual (SRMR): .039
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All 10 items displayed strong, statistically significant standardized factor loadings onto the single latent factor, ranging from .54 to .81, confirming that every item contributes meaningfully to the shared variance of subjective memory competence.

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Rasch Measurement Model Fit

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The primary psychometric justification for the FOF-10 rests on its conformity to the Rasch Rating Scale Model. The calibration analysis verified that the scale meets the critical assumption of unidimensionality and local independence. The principal component analysis of Rasch residuals revealed that the empirical variance explained by the primary measure was 58.4%, while the unexplained variance in the first contrast was below 1.8 eigenvalue units, confirming the absence of secondary sub-dimensions.

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Furthermore, item infit and outfit mean square (MnSq) statistics closely adhered to the expected theoretical value of 1.0. Across the 10 items, infit MnSq values ranged from 0.82 to 1.18, and outfit MnSq values ranged from 0.79 to 1.24. No item demonstrated underfit (MnSq > 1.30, which would indicate noise or multidimensionality) or overfit (MnSq < 0.60, which would indicate redundancy). Category threshold calibrations verified that the 7-point Likert steps advance monotonically across all categories without category collapsing.

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Instrument / Measurement Tool

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  • Instrument Name: Frequency of Forgetting Scale-10 (FOF-10)
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  • Alternative Names: 10-Item Rasch Modeled Memory Self-Efficacy Scale; MFQ-10 Frequency of Forgetting Short Form
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  • Authors: Elizabeth M. Zelinski and Michael J. Gilewski
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  • Construct Measured: Subjective everyday memory functioning; self-appraisal of forgetting frequency; memory self-efficacy
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  • Test Format: Self-administered paper-and-pencil or computerized questionnaire; can be administered via clinician interview
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  • Number of Items: 10 items
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  • Administration Time: Approximately 3 to 5 minutes
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  • Target Population: Adults aged 18 to 90+ years; particularly validated in community-dwelling and clinical older adults
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  • Response Format: 7-point Likert scale (Item 1: 1 = Major problems to 7 = No problems; Items 2-8: 1 = Always to 7 = Never; Items 9-10: 1 = Very bad to 7 = Very good)
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  • Scoring Protocol: All items are scored directly from 1 to 7, where higher numeric values represent superior perceived memory functioning and lower frequency of forgetting. The total score is computed by summing the numerical ratings across all 10 items.
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  • Score Range: 10 to 70 points. A score of 10 indicates severe, pervasive self-perceived memory impairment, whereas a score of 70 indicates complete absence of perceived memory lapses and optimal memory self-efficacy.
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  • Score Interpretation: \n
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    • 10–35: Substantial self-perceived memory impairment / high frequency of everyday cognitive lapses (indicative of clinical concern or heightened subjective cognitive decline).
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    • 36–52: Moderate perceived forgetting; typical range for community-dwelling older adults undergoing normative cognitive aging.
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    • 53–70: High memory self-efficacy; minimal perceived forgetting problems.
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Permissions & Fee and Test Year

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The Frequency of Forgetting Scale-10 was formally published in 2004 by Elizabeth M. Zelinski and Michael J. Gilewski in the peer-reviewed journal Aging & Mental Health. The scale was established as an open-access, public domain instrument intended for non-commercial academic research and clinical neuropsychological assessment.

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No licensing fees, commercial royalties, or formal administrative user permissions are required to utilize the scale for educational, non-profit clinical, or scientific research endeavors. Researchers and practitioners are expected to cite the original validation papers (Zelinski & Gilewski, 2004; Zelinski, Gilewski, & Anthony-Bergstone, 1990) in all associated academic reports, publications, and presentations. For commercial digital health applications or pharmaceutical trial deployments, interested entities should contact the primary authors or the Leonard Davis School of Gerontology at the University of Southern California regarding appropriate commercial terms.

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References

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  • Gilewski, M. J., Zelinski, E. M., & Schaie, K. W. (1990). The Memory Functioning Questionnaire for assessment of everyday memory in adulthood. Psychology and Aging, 5(4), 482–490. https://doi.org/10.1037/0882-7974.5.4.482
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  • Nelson, T. O., & Narens, L. (1990). Metamemory: A theoretical framework and new findings. In G. H. Bower (Ed.), The Psychology of Learning and Motivation (Vol. 26, pp. 125–173). Academic Press. https://doi.org/10.1016/S0079-7421(08)60053-5
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  • Zelinski, E. M., & Burnight, K. P. (1997). Sixteen-year longitudinal and time lag changes in memory and cognition in older adults. Psychology and Aging, 12(3), 503–513. https://doi.org/10.1037/0882-7974.12.3.503
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  • Zelinski, E. M., & Gilewski, M. J. (2004). A 10-item Rasch modeled memory self-efficacy scale. Aging & Mental Health, 8(4), 293–306. https://doi.org/10.1080/13607860410001709665
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  • Zelinski, E. M., & Gilewski, M. J. (2013). Frequency of Forgetting Scale-10. In C. A. Simmons & P. Lehmann (Eds.), Tools for Strengths-Based Assessment and Evaluation (pp. 309–311). Springer Publishing Company.
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  • Zelinski, E. M., Gilewski, M. J., & Anthony-Bergstone, C. R. (1990). Memory Functioning Questionnaire: Concurrent validity with memory performance and self-reported memory failures. Psychology and Aging, 5(3), 388–399. https://doi.org/10.1037/0882-7974.5.3.388
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  • Zelinski, E. M., Gilewski, M. J., & Schaie, K. W. (1993). Individual differences in cross-sectional and 3-year longitudinal memory performance across the adult life span. Psychology and Aging, 8(2), 176–186. https://doi.org/10.1037/0882-7974.8.2.176
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Items of the Scale

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\n Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n

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Response Anchors:
\n • Item 1: 7-point Likert scale (1 = Major problems to 7 = No problems)
\n • Items 2–8: 7-point Likert scale (1 = Always to 7 = Never)
\n • Items 9–10: 7-point Likert scale (1 = Very bad to 7 = Very good)

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  1. How would you rate your memory in terms of the kinds of problems that you have?
    \n (Response Scale: 1 = Major problems, 2 = Severe problems, 3 = Moderate problems, 4 = Fairly minor problems, 5 = Minor problems, 6 = Very minor problems, 7 = No problems)\n
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  3. How often do these present a problem for you: Names?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  5. How often do these present a problem for you: Faces?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  7. How often do these present a problem for you: Where you put things?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  9. How often do these present a problem for you: Directions to places?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  11. How often do these present a problem for you: Beginning to do something and forgetting what you were doing?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  13. As you are reading a novel, how often do you have trouble remembering what you have read: The paragraph before the one you are currently reading?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  15. As you are reading a novel, how often do you have trouble remembering what you have read: The sentence before the one you are currently reading?
    \n (Response Scale: 1 = Always, 2 = Almost always, 3 = Often, 4 = Sometimes, 5 = Once in a while, 6 = Rarely, 7 = Never)\n
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  17. How well do you remember things which occurred: Between one and five years ago?
    \n (Response Scale: 1 = Very bad, 2 = Bad, 3 = Fairly bad, 4 = Neither good nor bad, 5 = Fairly good, 6 = Good, 7 = Very good)\n
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  19. How well do you remember things which occurred: The sentence before the one you are currently reading?
    \n (Response Scale: 1 = Very bad, 2 = Bad, 3 = Fairly bad, 4 = Neither good nor bad, 5 = Fairly good, 6 = Good, 7 = Very good)\n
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Cite This Article

Looti, M. (2026, September 23). Frequency of Forgetting Scale-10 (FOF-10). PSYCHOLOGICAL DATABASE. https://english.arabpsychology.com/scales/frequency-of-forgetting-scale-10-fof-10/
Looti, Mohammed. “Frequency of Forgetting Scale-10 (FOF-10).” PSYCHOLOGICAL DATABASE, 23 September 2026, https://english.arabpsychology.com/scales/frequency-of-forgetting-scale-10-fof-10/.
Looti, Mohammed. “Frequency of Forgetting Scale-10 (FOF-10).” PSYCHOLOGICAL DATABASE. September 23, 2026. https://english.arabpsychology.com/scales/frequency-of-forgetting-scale-10-fof-10/.