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Record W2514120239 · doi:10.24972/ijts.2016.35.1.1

Application of the Spiritual Intelligence Self-Report Inventory (SISRI-24) Among Hong Kong University Students

2016· article· en· W2514120239 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Transpersonal Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologySpiritual intelligenceConfirmatory factor analysisConstruct validityScale (ratio)Construct (python library)Reliability (semiconductor)Life satisfactionSocial psychologyClinical psychologyPsychometricsStructural equation modelingEmotional intelligence

Abstract

fetched live from OpenAlex

The aim of this study was to examine the psychometric properties of the Chinese version of the Spiritual Intelligence Self-Report Inventory (SISRI-24). Two hundred thirteen undergraduate students in Hong Kong completed the Chinese SISRI-24, the Meaning of Life Questionnaire, the Metapersonal Self-Construal Scale, and the Satisfaction with Life Scale to allow examination of internal reliability and construct validity. Confirmatory factor analysis was also performed to examine whether the model of Our results indicated that the full scale of the Chinese SISRI-24 and its four subscales had acceptable internal reliability. The results also showed a positive relationship between spiritual intelligence and metapersonal self-construal. However, no significant relationship was reported between spiritual intelligence and life satisfaction. As such, construct validity was low to moderate. This study can be considered a foundation for understanding and measuring spiritual intelligence among undergraduate students in Hong Kong. Future research directions are suggested.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.318

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.365
Teacher spread0.322 · 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