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Record W189497772

Interpreting the MMPI-2 K scale: Self-deception and impression management revisited.

2000· article· en· W189497772 on OpenAlexaffabout
Kerry Collins

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2000
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsImpression managementSelf-deceptionPsychologyScale (ratio)Impression formationSocial psychologyDeceptionMinnesota Multiphasic Personality InventoryImpressionComputer sciencePerceptionSocial perceptionPersonalityGeographyCartographyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Factor-analytic studies have revealed two underlying content dimensions of socially desirable responding: self-deception and impression management (Nichols & Greene, 1997; Paulhus, 1984, 1986). The K validity scale of the Minnesota Multiphasic Personality Inventory-2 (Butcher et al., 1989) has been associated with the self-deception factor without adequate empirical confirmation. The present study addressed this deficiency by examining the scale within Paulhus's (1984, 1986) two-component model of socially desirable responding. Participants were 712 undergraduate students (174 men, 538 women) from a medium-sized Canadian university who volunteered for partial course credit. As predicted, a two-factor model was found to underlie various measures of socially desirable responding. The MMPI-2 K scale and the Social Desirability Scale (Edwards, 1963) loaded on the self-deception factor, whereas the Impression Management scale (BIDR; Paulhus, 1991), the Eysenck Personality Inventory Lie scale, and the Self-Deceptive Enhancement scale (BIDR; Paulhus, 1991) loaded on the impression management factor. The results and discussion center on the interpretation of the K scale as a measure of self-deception in non-clinical populations. Source: Masters Abstracts International, Volume: 39-02, page: 0606. Adviser: Kenneth Cramer. Thesis (M.A.)--University of Windsor (Canada), 2000.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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 teacher head, not a consensus.

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

Citations3
Published2000
Admission routes2
Has abstractyes

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