Brief Report: Does the Number of Response Options Matter for the BFI-2? Conceptual Replication and Extension.

We evaluated how the number of response options affects the psychometric properties of the Big Five Inventory-2 (BFI-2). Using two large samples collected from a market research company (s = 893 and 1,213), we tested how different response options of the BFI-2 influenced scale score distributions, internal consistency estimates, convergent validity correlations, and criterion validity correlations. Results suggest that score distributions were impacted by the number of response options such that ceiling and floor effects were more common when using two or three response options than when using more options.

How Does the Number of Response Options Impact the Psychometric Properties of the Rosenberg Self-Esteem Scale?

The Rosenberg Self-Esteem Scale is the most frequently used measure of self-esteem in the social sciences. These items are often administered with a different number of response options, but it is unclear how the number of response options impacts the psychometric properties of this measure. Across three experiments (s = 739, 2,358, and 1,461), we evaluated how different response options of the Rosenberg influenced (a) coefficient alpha estimates, (b) distributions of scores, and (c) associations with criterion-related variables.

The reciprocal impacts of adversity and personality traits: A prospective longitudinal study of growth, change, and the power of personality.

Objective: We integrate the study of post-traumatic growth with personality science by examining the reciprocal effects of adversity and core personality traits. We implemented conceptual (i.e.

Common Factors in Pediatric Psychiatry: A Review of Essential and Adjunctive Mechanisms of Treatment Outcome.

Objective: The purpose of this article is to review the literature on hypothesized behavioral correlates of pharmacotherapy treatment response. A particular focus is placed on what have been referred to as "common factors" across mental health treatments, including medication adherence, therapeutic alliance, motivation for behavior change, and expectancies for positive treatment outcomes. These understudied factors may provide unique explanations for mechanisms of symptom change, patient risk as a result of protocol deviation, and attenuated treatment outcomes.