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Wisdom researchers acknowledge the complex nature of this ancient construct, although they are yet to agree on its core components. A key question in the literature is whether Openness and Humour are aspects of wisdom or whether Openness is an antecedent of wisdom with Humour as a consequence.
Methods:
Using structural equation modelling, we evaluated data from 457 online respondents aged 16–87 years (Mage = 35.19, SD = 17.45). We analyzed a model with Openness as a precursor to Wisdom (conceptualised as a latent mediator variable using parcels of the SAWS Experience, Reminiscence/Reflection, and Emotional Regulation items), with Humor as outcome. We compared this model with a model using Wisdom as a latent mediator variable using parcels of the Three-Dimensional Wisdom Scale-12 (3D-WS-12).
Results:
A model using Self-Assessed Wisdom Scale (SAWS)-9 latent mediator variable with Openness as precursor to wisdom and Humour as a consequence was good fit for the data and displayed full mediation. Similarly, a model using the 3D-WS-12 as latent mediator variable to measure wisdom and with Openness as a precursor to wisdom and Humour as a consequence also fits the data with full mediation.
Discussion:
These findings provide empirical support for theoretical suggestions in the literature that Openness is a precursor to wisdom and that Humour is a consequence of wisdom using two of the most common self-report measures of wisdom. An improved understanding of the nature of wisdom and especially of its potential precursors can also be of use in future efforts to facilitate the development of wisdom.
Although wisdom is a desirable life span developmental goal, researchers have often lacked brief and reliable construct measures. We examined whether an abbreviated set of items could be empirically derived from the popular 40-item five-factor Self-Assessed Wisdom Scale (SAWS).
Design:
Survey data from 709 respondents were randomly split into two and analyzed using confirmatory factor analysis (CFA).
Setting:
The survey was conducted online in Australia.
Participants:
The total sample consisted of 709 participants (Mage = 35.67 years; age range = 15–92 years) of whom 22% were male, and 78% female.
Measurement:
The study analyzed the 40-item SAWS.
Results:
Sample 1 showed the traditional five-factor structure for the 40-item SAWS did not fit the data. Exploratory factor analysis (EFA) on Sample 2 offered an alternative model based on a 15-item, five-factor solution with the latent variables Reminiscence/Reflection, Humor, Emotional Regulation, Experience, and Openness. This model, which replicates the factor structure of the original 40-item SAWS with a short form of 15 items, was then confirmed on Sample 1 using a CFA that produced acceptable fit and measurement invariance across age groups.
Conclusions:
We suggest the abbreviated SAWS-15 can be useful as a measure of individual differences in wisdom, and we highlight areas for future research.
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