A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Factorial validity and measurement invariance of the Athlete Burnout Questionnaire (ABQ). | LitMetric

Factorial validity and measurement invariance of the Athlete Burnout Questionnaire (ABQ).

Psychol Sport Exerc

School of Science, Technology, and Health, York St John University, York, UK; Graduate Department of Kinesiology, University of Toronto, Toronto, Canada.

Published: July 2024

AI Article Synopsis

  • The Athlete Burnout Questionnaire (ABQ) is a leading tool for measuring athlete burnout but has faced issues with previous validation efforts, including model restrictions and mixed validity support.
  • Using data from 914 athletes, researchers applied confirmatory factor analysis and exploratory structural equation modeling to better assess the ABQ's factorial validity and measurement invariance across gender, sport type, and age.
  • The findings indicated that an exploratory structural equation model was a better fit and confirmed that the ABQ functions similarly across different athlete demographics, ensuring reliable comparisons in burnout research.

Article Abstract

The Athlete Burnout Questionnaire (ABQ) is the gold standard measure for burnout in athletes. However, previous assessments of factorial validity have: (a) tested overly restrictive measurement models; (b) provided mixed support for factorial validity; and (c) not been applied to assess measurement invariance across gender, sport type, or age. To address these issues, we used ABQ data provided by 914 athletes (M = 21.75 years, SD = 8.79) and examined factorial validity using confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM) techniques. We also examined measurement invariance of the ABQ data across reported gender (female, male), sport type (individual, team), and age (≤18 years, >18 years) groups. The analyses revealed that an ESEM model provided superior fit over the corresponding CFA model. In terms of measurement invariance, support was provided for the equivalence of the ABQ across each group. This means that researchers using the ABQ can collect data across these groups and examine potential differences with confidence that the ABQ is approximately invariant. In all, we provide evidence that the majority of ABQ items are key target construct indicators and the burnout construct (as measured by the ABQ) has the same structure and meaning to different athlete groups.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.psychsport.2024.102638DOI Listing

Publication Analysis

Top Keywords

factorial validity
16
measurement invariance
16
abq
9
athlete burnout
8
burnout questionnaire
8
questionnaire abq
8
sport type
8
abq data
8
measurement
5
factorial
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!