A Fading Affect Bias First: Specific Healthy Coping with Partner-Esteem for Romantic Relationship and Non-Relationship Events.

The Fading Affect Bias (FAB) is the faster fading of unpleasant affect than pleasant affect. Research suggests that the FAB is an indicator of general healthy coping, but it has not shown consistent specific healthy coping via differential relations of the FAB to individual differences across event types. Although previous research did not find specific healthy coping for the FAB across romantic relationship events, these researchers did not include non-relationship control events.

Teaching Digital, Block-Based Coding of Robots to High School Students with Autism Spectrum Disorder and Challenging Behavior.

The use of robots to teach students with autism spectrum disorder communication skills has basis in the literature; however, research investigating the effects of teaching coding or programming of robotics to promote learning in STEM to this population has not yet been conducted. The purpose of the current study was to evaluate the effects of teaching one code explicitly, using model-lead-test on the following dependent variables: (a) acquisition of the explicitly-taught code (i.e.

Grief and Avoidant Death Attitudes Combine to Predict the Fading Affect Bias.

The fading affect bias (FAB) occurs when unpleasant affect fades faster than pleasant affect. To detect mechanisms that influence the FAB in the context of death, we measured neuroticism, depression, anxiety, negative religious coping, death attitudes, and complicated grief as potential predictors of FAB for unpleasant/death and pleasant events at 2 points in time. The FAB was robust across older and newer events, which supported the mobilization-minimization hypothesis.

Testing the fading affect bias for healthy coping in the context of death.

Affect fades faster for unpleasant events than for pleasant events (e.g., Walker, Vogl, & Thompson, 1997 ), which is referred to as the fading affect bias (FAB; Walker, Skowronski, Gibbons, Vogl, & Thompson, 2003 ).