Survey Scale Psychometric Properties and Reliability Metrics

Ahmad Dweikat published a psychometric dataset containing item loadings, means, standard deviations, Cronbach’s alpha, composite reliability, and average variance extracted for an initial measurement model. The dataset is a single 9.5 KB Excel file, last updated in April 2026.

Use Cases

• Validate a measurement model by comparing composite reliability and average variance extracted values to established thresholds.
• Assess internal consistency of survey scales using the provided Cronbach’s alpha metrics for each construct.
• Identify weak items for scale refinement by analyzing individual item loadings and their standard deviations.
• Replicate or benchmark factor analysis results using the published item loadings and descriptive statistics.

Strengths

• Dataset includes six key psychometric metrics essential for scale validation.
• Published under a permissive CC-BY-4.0 license for reuse.
• File is a small 9.5 KB Excel workbook, ensuring easy access and download.

Limitations

• The dataset is extremely small at 9.5 KB, indicating very limited scope, likely for a single model.
• No row or column counts are provided, making the scale of the underlying survey data unknown.
• Lacks sample data or column names, obscuring the specific constructs and items measured.

Provenance

Source

figshare, authored by Ahmad Dweikat.

Collection Method

Presumably calculated from survey data for an initial measurement model, but exact collection method is unspecified.

Freshness

Last updated April 2026.