Scientific Creative Thinking Scale (SCTS): Process-Oriented Psychometric Instrument

The Scientific Creative Thinking Scale (SCTS) is a validated psychometric instrument developed by Huanhuan Lu and published on figshare in March 2026. It measures the three core stages of scientific creative thinking—problem identification, hypothesis construction, and experimental verification—using open-ended tasks based on real-world scientific scenarios. The scale was validated with a sample of 401 tenth-grade students, demonstrating robust reliability and validity metrics.

Use Cases

• Assessing scientific creative thinking in educational settings based on the three-stage process model described.
• Validating new cognitive assessment instruments by comparing psychometric properties like Cronbach's α (0.87) and McDonald's ω (0.89).
• Analyzing the relationship between creative thinking and academic achievement based on the reported correlation (ρ = 0.55).
• Conducting factor analysis on cognitive process data based on the reported three-factor structure accounting for 70.189% of variance.

Strengths

• The instrument demonstrated robust reliability with internal consistency (Cronbach’s α = 0.87) and excellent inter-rater reliability (ICC ≥ 0.95).
• Confirmatory factor analysis on an independent sample (n = 219) confirmed the three-factor model with good fit indices (CFI = 0.948, TLI = -0.922, RMSEA = 0.076, SRMR = 0.032).
• The scale shows preliminary criterion-related validity, with its total score significantly correlating with science academic achievement (ρ = 0.55, p < 0.001).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a 128.1 KB PDF file, which is a tiny dataset and likely contains only the instrument description or supplementary material, not raw data.

Provenance

Source

Huanhuan Lu via figshare

Collection Method

Developed and validated using a two-stage independent sample design with 401 tenth-grade students, employing exploratory and confirmatory factor analysis.

Time Range

Data collection timeframe is not specified.

Freshness

Last updated 2026-03-18 10:17:19

Geography

Geographic coverage of the student sample is not specified.