Class 9 Bias 2020 Sp1

Bias in Research

Bias in Research

Occurs when the results of a study do not represent the truth due to limitations in the design or conduct of the study.

Explicit Bias

Attitudes and beliefs about a person or group on a conscious level, leading to discrimination and hate speech.

Implicit Bias

Attitudes or stereotypes affecting understanding and decisions unconsciously, even in those meant to be impartial.

Study Planning

Experimenter Bias:Influence on study results by choices made during study setup, including variables, operationalization, and subject recruitment.

Study Planning

Design Bias:Failure to consider inherent biases in experiments, including issues with randomization, control groups, and performance bias.

Study Planning

Selection/Sampling Bias:Influences from access, socioeconomic status, recruitment methods, and biases in sample selection.

Study Execution

Procedural Bias:Lack of consistent procedures, standard data collection methods, or training leading to biased results.

Study Execution

Measurement Bias:Errors in data collection or measurement affecting the accuracy of study results.

Qualitative Data Collection Issues

Challenges like interviewer bias, response bias, and the impact of subtle cues on participant responses.

Study Analysis

Ensuring proper methods, data storage, multiple personnel involvement, and reporting all data to avoid biases like attrition bias and reporting bias.

Brian Wansink

A professor at Cornell University known for his research on eating behavior, author of Mindless Eating and Slim by Design.