The Impact of Competitive and Collaborative Environments on Vocational Students’ Competitive Attitudes, Task Motivation, and Adaptability: A Multilevel Structural Equation Modeling Analysis

With the rapid changes in external environments, cognitive adaptability has become crucial for vocational students' personal growth and career development. However, previous research has predominantly focused on traditional single-level effects, overlooking the multilevel impacts of school climates. Hence, based on social cognitive theory and social-ecological systems theory, this study employs multilevel structural equation modeling (MSEM) to examine the effects of competitive and collaborative environments on vocational students' competitive attitude, task motivation, and cognitive adaptability at both the student level (Within) and school level (Between). This study utilizes data from the Programme for International Student Assessment (PISA) 2018, analyzing a sample of 814 vocational schools and 20,978 vocational students from 18 countries and regions. Using Mplus 8.10, we applied maximum likelihood estimation with robust standard errors (MLR) to validate the multilevel structural equation model (MSEM) and examine the hierarchical effects of competitive and collaborative environments on vocational students' competitive attitude, task motivation, and cognitive adaptability. The findings indicate that both competitive attitude and task motivation positively impact cognitive adaptability at both the student and school levels. While competitive environments enhance competitive attitudes at both levels, their effects on task motivation differ, as they are positive at the student level but negative at the school level. Conversely, collaborative environments positively influence task motivation at both levels but only affect competitive attitudes at the student level. A comparison between multilevel and single-level models suggests that multilevel modeling better captures the hierarchical effects within school environments. The results highlight that moderate competition at the student level fosters motivation and adaptability, whereas highly competitive school environments may suppress motivation. In contrast, fostering a collaborative school climate enhances task motivation and cognitive adaptability. These findings underscore the importance of balancing competition and collaboration in vocational education to support students' holistic development.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2025-03-28
DOI
https://doi.org/10.3390/bs15040433
Citations
2
Primary Topic
Motivation and Self-Concept in Sports
Type
article
Field-Weighted Citation Impact
4.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Competitive and Collaborative Environments on Vocational Students’ Competitive Attitudes, Task Motivation, and Adaptability: A Multilevel Structural Equation Modeling Analysis

Cheng Ma, Bo-Ching Chen
2 citations
Behavioral Sciences
Motivation and Self-Concept in Sports
4.88
article

The Impact of Competitive and Collaborative Environments on Vocational Students’ Competitive Attitudes, Task Motivation, and Adaptability: A Multilevel Structural Equation Modeling Analysis

Cheng Ma, Bo-Ching Chen
article en
2 citations

Abstract

With the rapid changes in external environments, cognitive adaptability has become crucial for vocational students' personal growth and career development. However, previous research has predominantly focused on traditional single-level effects, overlooking the multilevel impacts of school climates. Hence, based on social cognitive theory and social-ecological systems theory, this study employs multilevel structural equation modeling (MSEM) to examine the effects of competitive and collaborative environments on vocational students' competitive attitude, task motivation, and cognitive adaptability at both the student level (Within) and school level (Between). This study utilizes data from the Programme for International Student Assessment (PISA) 2018, analyzing a sample of 814 vocational schools and 20,978 vocational students from 18 countries and regions. Using Mplus 8.10, we applied maximum likelihood estimation with robust standard errors (MLR) to validate the multilevel structural equation model (MSEM) and examine the hierarchical effects of competitive and collaborative environments on vocational students' competitive attitude, task motivation, and cognitive adaptability. The findings indicate that both competitive attitude and task motivation positively impact cognitive adaptability at both the student and school levels. While competitive environments enhance competitive attitudes at both levels, their effects on task motivation differ, as they are positive at the student level but negative at the school level. Conversely, collaborative environments positively influence task motivation at both levels but only affect competitive attitudes at the student level. A comparison between multilevel and single-level models suggests that multilevel modeling better captures the hierarchical effects within school environments. The results highlight that moderate competition at the student level fosters motivation and adaptability, whereas highly competitive school environments may suppress motivation. In contrast, fostering a collaborative school climate enhances task motivation and cognitive adaptability. These findings underscore the importance of balancing competition and collaboration in vocational education to support students' holistic development.

Behavioral SciencesVol. 15(4)
University of Shanghai for Science and Technology (CN), CTBC Business School (TW)
Climate action
Openalex Percentile: Top 7%
Motivation and Self-Concept in Sports
4.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.