Second-Order Factor Model of the Academic Resilience Scale in Mathematics: Testing Factor Structure and Measurement Invariance Across Gender

• In Event: Scales of Administrative Coping and Resilience

Abstract

This study, employing confirmatory factor analysis as a primary analytic approach, sought to test the factor structure of the 15-item Academic Resilience Scale in mathematics and measurement invariance across gender using second-order factor model from the High School Longitudinal Study (HSLS:09). Using MGCFA with a theta parametrization and WLSMV estimator, configural and first-order scalar invariance were undertaken to determine pattern invariance across male and females in mathematics (Nmale = 7840; Nfemale =7950). Our results confirm that academic resilience could be explained by four first-order factors (self-efficacy, academic coping, perceived academic support, and perceived social support). The preliminary results of configural invariance yielded that observed indicators of the academic resilience scale measure similar constructs across males and females.

Keywords: invariance, academic resilience, higher-order models, gender

Authors

• Emine Ozturk, Arizona State University
  Presenting Author

• Frank Bowman, University of North Dakota
  Non-Presenting Author

• Julie Robinson, University of North Dakota
  Presenting Author