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Though Forced, Still Valid: Examining the Psychometric Performance of Forced-Choice Measurement of Personality in Children and Adolescents.

Mengtong LiBo ZhangYi Mou
Published in: Assessment (2024)
Unveiling the roles personality plays during childhood and adolescence necessitates its accurate measurement, commonly using traditional Likert-type (LK) scales. However, this format is susceptible to various response biases, which can be particularly prevalent in children and adolescents, thus likely undermining measurement accuracy. Forced-choice (FC) scales appear to be a promising alternative because they are largely free from these biases by design. However, some argue that the FC format may not perform satisfactorily in children and adolescents due to its complexity. Little empirical evidence exists regarding the suitability of the FC format for children and adolescents. As such, the current study examined the psychometric performance of an FC measure of the Big Five personality factors in three children and adolescent samples: 5th to 6th graders ( N = 428), 7th to 8th graders ( N = 449), and 10th to 11th graders ( N = 555). Across the three age groups, the FC scale demonstrated a better fit to the Big Five model and better discriminant validity in comparison to the LK counterpart. Personality scores from the FC scale also converged well with those from the LK scale and demonstrated high reliability as well as sizable criterion-related validity. Furthermore, the FC scale had more invariant statements than its LK counterpart across age groups. Overall, we found good evidence showing that FC measurement of personality is suitable for children and adolescents.
Keyphrases
  • young adults
  • mental health
  • machine learning
  • artificial intelligence
  • deep learning
  • decision making