The role of self-esteem and personality in creativity among Indonesian college students
This study aimed at investigating how self-esteem a self-esteem shape personality and both variable predict creativity in the context of Indonesian university students. Data were collected from 265 undergraduate students in East Java province aged from 18 – 25 (M = 20.85; SD = 1.24). Data were collected via an online questionnaire through snowball sampling technique. The scales of the Big Five Inventory, Rosenberg Self-Esteem Scale, and K-DOCS. J. C. Kaufman were originally from English translated into Bahasa Indonesia using reversed translation method. Results indicated that self-esteem could shape personality and both self-esteem and personality were correlated with students’ creativity. Openness was the strongest predictor of creativity, whereas neuroticism negatively correlated with all types of creativity. The result also demonstrated that personality served as a mediating variable in the relationship between self-esteem and creativity. The findings suggested that level of self-esteem could configurate a certain personality. High level of self-esteem can internally motivate activities facilitating the generation of new and innovative ideas and products.
Steps to reproduce
Data were collected via an online questionnaire using a snowball sampling technique. A total of 265 students involved in this study (34% = male and 66% = female). All scales were originally from English translated into Bahasa Indonesia and then checked with reversed translation method by two native Indonesian speakers. The instruments of this study were of the Big Five Inventory, Rosenberg Self-Esteem Scale, and K-DOCS. J. C. Kaufman. Written informed consent forms were first obtained from all the student participants. Then, followed by a sociometric questionnaire. Participants were recruited by their teachers to complete an online questionnaire. Data were analyzed using the IBM SPSS Statistic software version 23 and JASP Version 0.14.1. Skewness, kurtosis, and outliers were examined for the multivariate normal distribution. The correlations of all the variables were examined by bivariate correlations. All the continuous variables were centralized. To perform the simple mediation analysis, the predictor variable was personality types. For computation of the mediation models, the JASP Version 0.14.1 was used, applying bootstrapping with coefficients estimated from 5,000 bootstraps to verify the significance of the mediator effect within the model. Phantom variables were performed to test the indirect effects with considering five fitness to data, freedom (χ2 /df ), the comparative fit index (CFI), the Tucker–Lewis index (TLI), the root mean square error of approximation (RMSEA), and the standardized root mean square residual (SRMR).