Affordable Access

deepdyve-link
Publisher Website

Hierarchical Factor Analysis and Factorial Invariance of the Chinese Overparenting Scale.

Authors
  • Leung, Janet T Y1
  • Shek, Daniel T L1
  • 1 Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China. , (China)
Type
Published Article
Journal
Frontiers in Psychology
Publisher
Frontiers Media SA
Publication Date
Jan 01, 2019
Volume
10
Pages
1873–1873
Identifiers
DOI: 10.3389/fpsyg.2019.01873
PMID: 31474911
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Overparenting has become an emergent phenomenon, where parents intrude into the lives and directions of their children and remove any anticipated obstacles that their children may encounter. This phenomenon develops rapidly across different ages, nations and cultures. This study examined the dimensionality of the Chinese paternal/maternal overparenting scales (CPOS and CMOS) in 1,735 early adolescents (mean age = 12.63 ± 0.78 years; 47.4% were female) in Hong Kong. Confirmatory factor analyses indicated that an 8-factor model fitted the data well for both scales. The factors included close monitoring, intrusion of child's life and direction, over-emphasis on child's academic performance, frequent comparison of child's achievement with others, overscheduling of child's daily routine, anticipatory problem-solving, excessive affective response and excessive care. Hierarchical factor analyses showed that these factors could be subsumed under two second-order factors of "over-demandingness" and "over-responsiveness," which provides support for the conceptual framework of parenting. Furthermore, the hierarchical factor models of the CPOS and CMOS were invariant in adolescent boys and girls; the scales and subscales showed good internal consistency. The present findings suggest that the CPOS and CMOS showed good factorial validity and reliability that can be used to assess overparenting objectively among early adolescents in the Chinese contexts.

Report this publication

Statistics

Seen <100 times