Digital Fidelity Dual Architecture Model: Empirical Evaluation and Gender Invariance

102.4 KB DOCX file contains results from an empirical evaluation of a theoretical model for digital fidelity. Abdullah Aldemir authored the study, which used Classical Test Theory and Modern Test Theory methods. The model's structural, discriminant, and cross-gender invariance validity were examined, with results posted on figshare in May 2026.

Use Cases

• Validate psychometric models based on the Dual Architecture of digital fidelity.
• Analyze gender invariance in psychological constructs using multi-group CFA.
• Assess measurement challenges like social desirability bias in self-report items.
• Compare Classical Test Theory (CFA) and Modern Test Theory (Rasch) results.
• Study the relationship between digital fidelity, relationship satisfaction, and attachment styles.

Strengths

• The study provides specific psychometric indices, such as a person-separation reliability (PSI) of 0.432.
• It examines both structural validity and discriminant validity through nomological network analysis.
• The dataset is openly licensed under CC-BY-4.0.
• The analysis confirmed strict invariance across genders for the model.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains survey or self-reported data analyzed with CFA and Rasch methods.

Freshness

Last updated 2026-05-22 05:33:13; freshness should be verified.