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Record W2086291143 · doi:10.1108/09596111211217914

The lodging quality index: an independent assessment of validity and dimensions

2012· article· en· W2086291143 on OpenAlexaffabout
Riadh Ladhari

Bibliographic record

VenueInternational Journal of Contemporary Hospitality Management · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsConfirmatory factor analysisHospitalityReliability (semiconductor)Scale (ratio)Service qualityHospitality industryContext (archaeology)ValidityQuality (philosophy)MarketingOriginalityPsychologyService (business)Index (typography)Applied psychologyBusinessSocial psychologyTourismComputer sciencePsychometricsGeography

Abstract

fetched live from OpenAlex

Purpose The purposes of this study are: to examine the reliability and validity of the lodging quality index (LQI); and to assess the relative importance of the five dimensions of the LQI in the Canadian hotel context. The LQI was developed by Getty and Getty and published in 2003 in the International Journal of Contemporary Hospitality Management . Design/methodology/approach Data are collected from 200 Canadian respondents who had stayed in a hotel in Canada within the preceding three months. Data are examined using confirmatory factor analysis and regression analysis. Findings The findings support the reliability and the validity of the LQI's structure of five dimensions. The scale is shown to be a reliable instrument for measuring overall service quality and for predicting the satisfaction and behavioral intentions of hotel guests. In terms of the importance of the five dimensions, the study finds that “tangibility” and “communication” are the most important. Originality/value This is the first independent assessment of the reliability and validity of the LQI scale. The research provides valuable insights for hotel managers in Canada. Hoteliers should focus their efforts on the provision of good service quality on “tangibility” and “communication”.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.139
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.343
Teacher spread0.287 · 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.

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

Citations70
Published2012
Admission routes2
Has abstractyes

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