Efficacy Analysis of Emotional Labor and Professional Self-Quality of Opera Actors Based on Metaregression Analysis in Small Sample Environment.

Abstract

On the rules of emotional performance in performances, opera singers based it on their emotional labor. Opera actors need to use certain stage scenarios and script designs during performances in order to convey the emotions of the characters in a way that will resonate with the audience and provide excellent stage effects. Opera singers put a lot of emotional work into their performances, which is at the core of them. Whatever the actor's genuine feelings may be, he or she must channel them as a skilled opera actor in order to provide the audience with a rich visual feast. This article investigated the connection between emotional labor and opera singers' professional self-efficacy in order to support the strong development of the opera business. In order to improve the professional self-efficacy of opera actors, the metaregression analysis method (MRA) was applied during the research procedure. The convenience sample approach was utilised to distribute 324 copies of the questionnaire survey, which had 319 valid questions about the emotional labor and professional effectiveness of opera actors. Through the simulation of the data set, it was discovered that the adoption of emotional labor strategy can raise the professional self-efficacy of opera actors by 2.36 percent, thereby fostering the growth of opera actors as individuals.