Comparison of methods for controlling acquiescence bias in balanced and unbalanced scales

Abstract

Controlling acquiescence bias typically involves the application of positive and negative keyed items. However, little is known about the effect of balancing positive and negative items on bias control. The aim of this study was to compare three Confirmatory Factor Analysis models (without control, MIMIC, and Random Intercept) to recover the factor structure of unbalanced and balanced instruments, using simulated and real data (from an instrument that assesses Personality). By controlling for acquiescence, the results indicated that the performance of balanced scales was better than that of unbalanced scales, as well as in the absence of control for response bias, when considering balanced and unbalanced scales. Thus, this research suggests the possibility of controlling acquiescence through balanced instruments associated with the use of statistical methods in modeling.