Despite the commonly held view that entrepreneurship education and training nurtures future entrepreneurs, little is known about the mechanism through which this intervention impacts on its intended outcomes. The purpose of this study was to test if selected psychological traits (need for achievement, risk-taking propensity, internal locus of control) mediated the predictive relationship between the perceived effects of entrepreneurship education and entrepreneurial intentions. A cross-sectional survey of a sample of 308 vocational education students in Zimbabwe was used for this purpose. The results show that the effects of entrepreneurship education variable had a positive and statistically significant relationship with need for achievement, risk-taking propensity, internal locus of control and entrepreneurial goal intentions. Moreover, need for achievement, risk-taking propensity and internal locus of control accounted for a statistically significant amount of variance in entrepreneurial intentions. However, of the three psychological traits, only need for achievement partially mediated the relationship between the effects of entrepreneurship education and entrepreneurial goal intentions. The outcome has implications on the design and focus of entrepreneurship education programmes.

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Relationship between entrepreneurship education and entrepreneurial goal intentions: psychological traits as mediators

Reliability evidence of test scores is essential in counseling research and program evaluation, as the quality of client care is, in part, based on the proper interpretation of test scores. Cronbac...

Alpha, Omega, and H Internal Consistency Reliability Estimates: Reviewing These Options and When to Use Them

Cronbach’s alpha (coefficient α) is the conventional statistic communication scholars use to estimate the reliability of multi-item measurement instruments. For many, if not most communication meas...

Omega over alpha for reliability estimation of unidimensional communication measures

Explaining the success of social media with gratification niches: Motivations behind daytime, nighttime, and active use of TikTok in China

Although smart speakers are widely accepted by consumers today, especially in developed countries such as the United States (US), few marketing-focused empirical studies on smart speakers have been...

My Smart Speaker is Cool! Perceived Coolness, Perceived Values, and Users’ Attitude toward Smart Speakers

Cronbach’s alpha (α) is a widely-used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scal...

Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…

The dyad is an important unit of human interaction found in many settings in life. Research on interpersonal relationships and outcomes that relies on measuring each member of a dyad on putative causes and effects can require complex analyses to illuminate how members of the dyad influence one another. Dyadic mediation analysis is a branch of mediation analysis that focuses on establishing the mechanism(s) by which mutual influence operate. Relying on the similarity between dyadic mediation analysis using structural equation modeling and mediation analysis using ordinary least squares regression, we developed MEDYAD, an easy-to-use computational tool for SPSS and SAS that conducts dyadic mediation analysis with distinguishable dyadic data. MEDYAD implements the Actor-Partner Interdependence Model extended to Mediation (APIMeM) as well as simpler and more complex dyadic mediation models defined by the number of mediators and whether variables in the model are mixed or between-dyad variables. Bootstrapping methods are implemented for inference about indirect effects. Additional features include methods for conducting all possible pairwise comparisons between indirect effects, heteroscedasticity-robust inference, and saving bootstrap estimates of mediation parameters for further analysis.

Easy Statistical Mediation Analysis With Distinguishable Dyadic Data

Questions of value, questions of magnitude: An exploration and application of methods for comparing indirect effects in multiple mediator models.

Is there a connection between loving oneself, knowing oneself, and mental well-being? Self-compassion—a construct that consists of self-kindness, acknowledgment of common humanity, and mindfulness—is associated with numerous positive outcomes including indicators of mental well-being. However, little research exists exploring the mechanism(s) by which self-compassion operates to influence these outcomes. It is possible that self-concept clarity, or the extent to which one’s self-beliefs are clearly defined and stable, acts as such a mechanism. In the current study, we explored the mediating role of self-concept clarity in the associations between self-compassion and three indicators of mental well-being: perceived stress, depressive symptomatology, and life satisfaction. Self-compassion was significantly associated with each of the three indicators of well-being. Additionally, self-concept clarity statistically mediated the relationships between self-compassion and depressive symptomatology, perceived stress, and satisfaction with life. The results of this study suggest a potential mechanism by which self-compassion is associated with greater well-being.

https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0286992&type=printable

I can see (myself) clearly now: Exploring the mediating role of self-concept clarity in the association between self-compassion and indicators of well-being

Jacob J. Coutts

Papers

Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…

Easy Statistical Mediation Analysis With Distinguishable Dyadic Data

Questions of value, questions of magnitude: An exploration and application of methods for comparing indirect effects in multiple mediator models.

I can see (myself) clearly now: Exploring the mediating role of self-concept clarity in the association between self-compassion and indicators of well-being