Learning from mistakes climate scale: Development and validation.

Area of Science:

• Organizational Psychology
• Human Resource Development
• Workplace Learning

Background:

• Learning from mistakes is crucial for employee development but lacks a validated measurement scale.
• Existing organizational learning climate research has not adequately addressed mistake tolerance.
• Developing a specific scale is necessary to assess the learning from mistakes climate in diverse cultural contexts.

Purpose of the Study:

• To develop and validate the Learning from Mistakes Climate Scale (LMCS) for use in Malaysia.
• To examine the psychometric properties, including reliability and validity, of the LMCS.
• To provide an instrument for fostering psychologically safe work environments that encourage learning from errors.

Main Methods:

• Item generation based on literature review and expert panel selection.
• Psychometric evaluation using confirmatory factor analysis (CFA) on data from 554 working adults.
• Assessment of reliability (test-retest, intra-class correlations) and validity (convergent, criterion, predictive).

Main Results:

• The LMCS was validated as a 17-item, one-factor model.
• The scale demonstrated strong convergent, criterion, and predictive validity.
• High test-retest reliability and significant intra-class correlations confirmed the scale's stability.

Conclusions:

• The Learning from Mistakes Climate Scale (LMCS) is a psychometrically sound instrument for assessing workplace learning from mistakes in Malaysia.
• The LMCS uniquely integrates mistake tolerance, contributing to the organizational learning climate literature.
• This scale can support the creation of psychologically safe environments, particularly in hierarchical, collectivistic cultures.