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Published on BioPortfolio: 2018-02-04T14:38:10-0500
This study will conduct the development and preliminary evaluation of Cognitive Bias Modification for Interpretation (CBM-I) as an augmentation to treatment as usual for OCD and related di...
Tobacco use is the most preventable cause of disease, disability, and death in the United States. Standard smoking cessation care (cognitive behavioral therapy and nicotine replacement the...
Effective and durable treatments for cannabis use disorder remain elusive. Given the increasing prevalence rates of cannabis use and CUD nationwide, investigation of novel treatments is wa...
The rate of relapse following an inpatient alcohol rehabilitation program has been around 50% for a number of years. Offered treatments mainly focus on conscious and controllable aspects o...
The purpose of this study is to determine whether computer bias modification for interpretation bias (CBM-I) is effective in the reduction of suicidal ideation in substance use disorders.
Skepticism about the explanatory value of implicit bias in understanding social discrimination has grown considerably. The current article argues that both the dominant narrative about implicit bias a...
Why are some people more biased than others in their implicit evaluations during social interaction? The dispositional determinants of individual differences in implicit intergroup bias are poorly und...
Several models that attempt to explain stigmatization of people with mental illness emphasize the relevance of social categorization. However, research on illness-based social categories has been limi...
Implicit social biases play a critical role in shaping our attitudes towards other people. Such biases are thought to arise, in part, from a comparison between features of one's own self-image and tho...
We examined performance on implicit (non-verbal) and explicit (verbal) uncertainty-monitoring tasks among neurotypical participants and participants with autism, while also testing mindreading abiliti...
Adverse of favorable selection bias exhibited by insurers or enrollees resulting in disproportionate enrollment of certain groups of people.
An increased focus or awareness of certain stimuli over others, which influence behavior.
Small-scale tests of methods and procedures to be used on a larger scale if the pilot study demonstrates that these methods and procedures can work.
Conversations with an individual or individuals held in order to obtain information about their background and other personal biographical data, their attitudes and opinions, etc. It includes school admission or job interviews.
Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.