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Original Study
| Published: March 13, 2024
Perfectionism and Anxiety in Generation Z and the Millennials
Student, Department of Psychology, Kristu Jayanti College, Bangalore 560077, Karnataka, India Google Scholar More about the auther
Assistant Professor, Department of Psychology, Kristu Jayanti College, Bangalore 560077, Karnataka, India Google Scholar More about the auther
DIP: 18.01.173.20241201
DOI: 10.25215/1201.173
ABSTRACT
Perfectionism and fear of anxiety in Generation Z and Millennials are the primary issues considered in this study. Using a survey design through quantitative cross-sectional research, data were collected from a sample of 258 respondents, consisting of 129 for each generational cohort. The multidimensional Perfectionism Scale (MPS) by Frost et al. (1990) and the General Anxiety Scale (GAD-7) were used to measure perfectionism and anxiety, respectively. Statistical analyses included correlation analysis, one-way ANOVA, and multiple regression analysis. The results revealed that doubts about action correlated negatively with overall perfectionism, thus signalling the nuanced nature of perfectionistic tendencies. Parental expectations showed an extremely positive relationship with overall perfectionism, which emphasised how important perceived parental expectations are in their children’s lives. The one-way ANOVA indicated that there was a significant difference in levels of anxiety between Gen and Millennials, thus necessitating generation-specific intervention plans. Additionally, multiple linear regression analysis showed a modest but statistically significant association between age and total score on MPS, indicating that perfectionism could not be said to be independent of age alone. In conclusion, this research brings valuable insights into the complex dimensions of perfectionism and its connections, providing a deeper understanding of how it impacts both Generation Z and Millennials as they navigate the changing societal landscape.
Keywords
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2024, Zaiba, K.A. & Akshaya, I.
Received: March 04, 2024; Revision Received: March 09, 2024; Accepted: March 13, 2024
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.173.20241201
10.25215/1201.173
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Published in Volume 12, Issue 1, January-March, 2024