Abstract

This brief article attempts to describe the importance of relying not just on model fit indices, but also on bifactor, confirmatory factor analysis to examine the factor structure of instruments presumed to be multidimensional. Three ancillary bifactor indices (explained common variance, omega hierarchical and percentage uncontaminated correlations) were calculated for three instruments that have been described as multidimensional in published research. One of these instruments, the Normative Beliefs about Aggression Scale (NOBAGS) demonstrated strong evidence of multidimensionality. The second instrument, Problem-Solving Inventory demonstrated some evidence of multidimensionality, but must be considered essentially unidimensional because of lack of sufficient evidence. The third instrument, Cyberchondria Severity Scale demonstrated essential unidimensionality with little evidence of multidimensionality. These findings support the argument that using only model fit statistics may lead researchers to draw incorrect conclusions about the dimensionality of an instrument.

Highlights

  • Over reliance on model fit indices in confirmatory factor analyses may lead to incorrect inferences about bifactor models: A cautionary note

  • In the Padmanabhanunni (2017) study, the general factor of the Normative Beliefs about Aggression Scale (NOBAGS) accounted for 54% of the common variance, and the two specific factors accounted for 46% of the common variance (20% and 26%, respectively)

  • In the Heppner et al (2002) study, the general factor of the Problem Solving Inventory (PSI) accounted for 63% of the variance, and the three specific factors accounted for 14%, 6% and 16% of the variance, respectively

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Summary

Introduction

Over reliance on model fit indices in confirmatory factor analyses may lead to incorrect inferences about bifactor models: A cautionary note. Read online: Scan this QR code with your smart phone or mobile device to read online This brief article attempts to describe the importance of relying not just on model fit indices, and on bifactor, confirmatory factor analysis to examine the factor structure of instruments presumed to be multidimensional. Three ancillary bifactor indices (explained common variance, omega hierarchical and percentage uncontaminated correlations) were calculated for three instruments that have been described as multidimensional in published research One of these instruments, the Normative Beliefs about Aggression Scale (NOBAGS) demonstrated strong evidence of multidimensionality. The third instrument, Cyberchondria Severity Scale demonstrated essential unidimensionality with little evidence of multidimensionality These findings support the argument that using only model fit statistics may lead researchers to draw incorrect conclusions about the dimensionality of an instrument. It is necessary to show that an instrument has both internal and external validity before using the instrument in practice

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