The Psychometric Properties of the Grit-O Scale Within the Twente Region in Netherlands : An ICM-CFA vs. ESEM Approach

Llewellyn E. VAN ZYL*, Chantal OLCKERS, Lara C. ROLL

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)

Abstract

The purpose of this study was to examine the psychometric properties (i.e., factorial validity, measurement invariance, and reliability) of the Grit-Original scale (Grit-O) within the Netherlands. The Grit-O scale was subjected to a competing measurement modeling strategy that sequentially compared both independent cluster model confirmatory factor analytical- and exploratory structural equation modeling approaches. The results showed that both a two first order, bi-factor structure as well as a less restrictive two factor ESEM factorial structure best-fitted the data. The instrument showed to be reliable at both a lower- (Cronbach’s alpha) and upper-level (composite reliability) limit. However, measurement invariance between genders could only be established for the B-ICM-CFA model. Finally, concurrent validity was established through relating the GRIT-O to task performance. The linear use of the Grit-O scale should therefore carefully be considered.

Original languageEnglish
Article number796
Number of pages17
JournalFrontiers in Psychology
Volume11
DOIs
Publication statusPublished - 7 May 2020

Bibliographical note

The work was supported by the Optentia Research Programme of the North-West University as well as the National Research Foundation’s Rated Researcher Incentive Fund (IFR170123217004). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Keywords

  • confirmatory factor analysis
  • exploratory structural equation modeling
  • grit
  • invariance testing
  • psychometric properties
  • validity

Fingerprint Dive into the research topics of 'The Psychometric Properties of the Grit-O Scale Within the Twente Region in Netherlands : An ICM-CFA vs. ESEM Approach'. Together they form a unique fingerprint.

  • Cite this