Twenty-five years of research using implicit measures
The year 2020 marks the 25th anniversary of two seminal publications that have set the
foundation for an exponentially growing body of research using implicit measures: Fazio …
foundation for an exponentially growing body of research using implicit measures: Fazio …
What do measures of self-report interoception measure? Insights from a systematic review, latent factor analysis, and network approach
Recent conceptualizations of interoception suggest several facets to this construct,
including" interoceptive sensibility” and “self-report interoceptive scales", both of which are …
including" interoceptive sensibility” and “self-report interoceptive scales", both of which are …
An empirical study on consumer motives and attitude towards adoption of electric vehicles in India: Policy implications for stakeholders
The present study empirically investigates the motives behind users' attitude formation,
behavioural intention, and word of mouth towards electric vehicles. An online survey was …
behavioural intention, and word of mouth towards electric vehicles. An online survey was …
Algorithmic bias: on the implicit biases of social technology
GM Johnson - Synthese, 2021 - Springer
Often machine learning programs inherit social patterns reflected in their training data
without any directed effort by programmers to include such biases. Computer scientists call …
without any directed effort by programmers to include such biases. Computer scientists call …
Theoretically informed generative models can advance the psychological and brain sciences: Lessons from the reliability paradox
Theories of individual differences are foundational to psychological and brain sciences, yet
they are traditionally developed and tested using superficial summaries of data (eg, mean …
they are traditionally developed and tested using superficial summaries of data (eg, mean …
Illusory essences: A bias holding back theorizing in psychological science
The reliance in psychology on verbal definitions means that psychological research is
unusually moored to how humans think and communicate about categories. Psychological …
unusually moored to how humans think and communicate about categories. Psychological …
Why antibias interventions (need not) fail
T Schmader, TC Dennehy… - … on Psychological Science, 2022 - journals.sagepub.com
There is a critical disconnect between scientific knowledge about the nature of bias and how
this knowledge gets translated into organizational debiasing efforts. Conceptual confusion …
this knowledge gets translated into organizational debiasing efforts. Conceptual confusion …
Implicit bias≠ bias on implicit measures
People can behave in a biased manner without being aware that their behavior is biased, an
idea commonly referred to as implicit bias. Research on implicit bias has been heavily …
idea commonly referred to as implicit bias. Research on implicit bias has been heavily …
Sixty Years After Orne's American Psychologist Article: A Conceptual Framework for Subjective Experiences Elicited by Demand Characteristics
O Corneille, P Lush - Personality and Social Psychology …, 2023 - journals.sagepub.com
Study participants form beliefs based on cues present in a testing situation (demand
characteristics). These beliefs can alter study outcomes (demand effects). Neglecting …
characteristics). These beliefs can alter study outcomes (demand effects). Neglecting …
[HTML][HTML] The use of virtual reality in studying prejudice and its reduction: A systematic review
This systematic review provides an up-to-date analysis of existing literature about Virtual
Reality (VR) and prejudice. How has VR been used in studying intergroup attitudes, bias …
Reality (VR) and prejudice. How has VR been used in studying intergroup attitudes, bias …