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Assessing knowledge anxiety in researchers: a comprehensive measurement scale
Yu Zhenlei1,2, Lin Song3, Dong Minyi4
1Shandong University, Jinan, China.
Peerj
|December 3, 2024
Summary
Researchers can now measure knowledge anxiety, a feeling of inadequacy from information overload. A new scale assesses cognitive, emotional, behavioral, and capability-related factors, aiding well-being and productivity.
Area of Science:
- Psychology
- Research Methodology
- Information Science
Background:
- The rapid growth of scientific information causes "knowledge anxiety" among researchers.
- This psychological state impacts researcher productivity and mental well-being.
- No standardized tool currently exists to measure knowledge anxiety across diverse research fields.
Purpose of the Study:
- To develop and validate a multidimensional scale for assessing knowledge anxiety.
- To provide a reliable instrument for quantifying the psychological effects of information overload on researchers.
Main Methods:
- A mixed-methods approach was utilized, combining literature reviews and qualitative interviews.
- Initial item generation involved 313 researchers, followed by pilot testing and a main study with 26 participants.
- Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were employed for scale refinement and validation.
Main Results:
- A 16-item scale was developed, encompassing four factors: cognitive, emotional, behavioral, and capability-related anxieties.
- CFA confirmed a robust model fit with high standardized factor loadings (0.549–0.887).
- The scale demonstrated excellent reliability, indicated by a composite Cronbach's alpha of 0.883.
Conclusions:
- A new, psychometrically sound scale for measuring knowledge anxiety has been successfully developed.
- This validated instrument will assist researchers in assessing and managing the psychological impact of knowledge overload.
- The scale offers a valuable tool for understanding and addressing the challenges of contemporary research environments.
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