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Record W4406332515 · doi:10.5114/cipp/194231

Validation of the Polish Self and Interpersonal Functioning Scale (SIFS-PL) in community and clinical samples

2025· article· en· W4406332515 on OpenAlexaff
Emilia Soroko, Jan Cieciuch, Dominick Gamache

Bibliographic record

VenueCurrent Issues in Personality Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPsychologyClinical psychologyPersonalityPersonality disordersConfirmatory factor analysisPersonality pathologyEmpathyPersonality Assessment InventoryDSM-5PsychometricsStructural equation modelingScale (ratio)Construct validityPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this study was to examine the psychometric properties of the Polish version of the Self and Interpersonal Functioning Scale (SIFS-PL). The scale is designed to assess Criterion A of the DSM-5 Alternative Model of Personality Disorders (AMPD) - the four core elements of personality pathology (Identity, Self-direction, Empathy, and Intimacy) from the Level of Personality Functioning (LPF) for personality disorders (PDs). PARTICIPANTS AND PROCEDURE: = 9.6) completed the SIFS-PL. A clinical subsample of 50 patients diagnosed with personality disorders additionally completed the Personality Inventory for DSM-5 (PID5). RESULTS: Confirmatory factor analysis supported a bifactor four-factor model. All items had significant loadings on both the four specific elements and an overarching general personality pathology factor. The internal consistency ranged from acceptable to good for subscales and excellent for the global scale. In terms of criterion validity, results from the clinical subgroup were consistent with previous research on the SIFS. The SIFS-PL scales effectively discriminated between community sample participants and those suffering from depression, as well as an ambulatory clinical group with personality disorders. CONCLUSIONS: Our findings underscore the robust psychometric properties of the Polish version of the SIFS, rendering it a promising tool for both screening and extensive research on personality disorders within contemporary dimensional models such as the AMPD and ICD-11. Its application in clinical settings can also be advocated. However, general scores and subscale scores might serve distinct purposes, warranting further investigation into their predictive validity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.452
Teacher spread0.378 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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