Content area

Abstract

Cognitive ability is critical for an individual’s academic, social, and career success. Reasoning ability is one of the most important cognitive abilities, and ways to improve individuals’ reasoning ability is therefore of great interest. Growth mindset is the belief that skills are malleable, and individuals with a growth mindset therefore believe that their reasoning ability can be improved through effort. However, the effect of growth mindset on reasoning ability remains unclear, particularly in adolescents and young adults. This study investigated the effect of growth mindset on reasoning ability in 1083 Chinese adolescents and young adults, and examined the moderating role of self-esteem. Growth mindset was positively correlated with reasoning ability (r = 0.38, p < 0.01), and self-esteem was positively correlated with both growth mindset (r = 0.43, p < 0.01) and reasoning ability (r = 0.25, p < 0.01). Regression analysis showed that the interaction between self-esteem and growth mindset significantly predicted reasoning ability (β = 0.149, t = 4.39, p < 0.001), which indicates that self-esteem moderated the relationship between growth mindset and reasoning ability. Simple slope analysis further revealed that the correlation between growth mindset and reasoning ability was stronger in the high self-esteem group than in the low self-esteem group (F(3,1105) = 69.54, p < 0.001, f2 = 0.19). Overall, our results indicate that growth mindset benefits reasoning ability in Chinese adolescents and young adults, and that enhancing self-esteem could strengthen this effect.

Details

Title
The effect of growth mindset on reasoning ability in Chinese adolescents and young adults: the moderating role of self-esteem
Author
Wang, Daoyang 1 ; Gan, Lin 2 ; Wang, Cuicui 3 

 Hangzhou Normal University, College of Education, Hangzhou, China (GRID:grid.410595.c) (ISNI:0000 0001 2230 9154); Beijing Normal University, Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964) 
 Tianjin University, School of Precision Instrument and Opto-electronics Engineering, Tianjin, China (GRID:grid.33763.32) (ISNI:0000 0004 1761 2484) 
 Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964) 
Pages
553-559
Publication year
2023
Publication date
Jan 2023
Publisher
Springer Nature B.V.
ISSN
10461310
e-ISSN
19364733
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2779277224
Copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021.