How Posting Online Reviews Can Influence the Poster's Evaluations.

The current research demonstrates that posting online reviews can influence the evaluations of the individual posting the review. Across four studies, we examine the impact of individuals' naive theories about the meaning of their own posting on subsequent attitudes. In these experiments, individuals were assigned to write either positive or negative reviews about various products and services and then post them.

Artificial Intelligence and Persuasion: A Construal-Level Account.

Although more individuals are relying on information provided by nonhuman agents, such as artificial intelligence and robots, little research has examined how persuasion attempts made by nonhuman agents might differ from persuasion attempts made by human agents. Drawing on construal-level theory, we posited that individuals would perceive artificial agents at a low level of construal because of the agents' lack of autonomous goals and intentions, which directs individuals' focus toward these agents implement actions to serve humans rather than they do so. Across multiple studies (total = 1,668), we showed that these construal-based differences affect compliance with persuasive messages made by artificial agents.

Alpha's standard error (ASE): an accurate and precise confidence interval estimate.

This research presents the inferential statistics for Cronbach's coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha's standard error (ASE) and confidence intervals are described, and the authors analytically and empirically investigate the effects of the components of these equations. The authors then demonstrate the superiority of this estimate compared with previous derivations of ASE in a separate Monte Carlo simulation.