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Record W2147389406 · doi:10.1177/0013164404267293

Employment-Related Motivational Distortion: Its Nature, Measurement, and Reduction

2005· article· en· W2147389406 on OpenAlexaff
A. Ralph Hakstian, Ee‐Ling Ng

Bibliographic record

VenueEducational and Psychological Measurement · 2005
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyScale (ratio)StatisticsReliability (semiconductor)Facet (psychology)EconometricsCalifornia Psychological InventoryPersonalityMinnesota Multiphasic Personality InventorySocial psychologyMathematicsBig Five personality traits

Abstract

fetched live from OpenAlex

The behavioral variable employment-related motivational distortion (EMD) was defined and measured. In Study 1, a sample of 250 undergraduates completed the California Psychological Inventory (CPI), Form 434, on two separate occasions in which they responded (a) honestly and (b) as if applying for a job they valued. Four different change measures indexed participants’ response changes between the two conditions on a CPI-based scale measuring counter productivity (CPI-Cp). A composite of these four measures provided an EMD criterion, which enabled the development, in Study 2, of a 56-item CPI-based EMD predictor scale. On the basis of eight samples comprising a total Nof 2,074, internal consistency and test-retest reliability estimates for the CPI-EMD scale ranged between .72 and .86. Correlations with NEO PI-R domain and facet scales provided construct information about EMD. In Study 3, CPI-Cp scale scores adjusted for EMD manifested (a) reliability ranging from .71 to .87 over eight samples and (b) somewhat different correlations than for the unadjusted scale with Big Five personality scales. In addition, some evidence was found for gains in criterion correlations with EMD adjustments.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.995

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.160
GPT teacher head0.373
Teacher spread0.213 · 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

Citations9
Published2005
Admission routes1
Has abstractyes

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