How to detect and measure response bias?
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Response bias can be detected and measured using various methods. One approach is to analyze the movements of the input device used by the user during a survey and calculate metrics based on these movements . These metrics can then be used to calculate the user's response bias, which represents the tendency to consistently favor certain types of responses . Another method involves using model-based statistics to evaluate response bias in item bundles . These statistics, such as compensatory (CDRF) and non-compensatory (NCDRF) measures, provide a flexible approach to studying response bias in categorical response data . Additionally, response confidence measures can be used to assess conflict detection and individual differences in conflict detection efficiency . These measures involve evaluating the level of confidence individuals have in their heuristic answers and can indicate whether they recognize the presence of response bias .
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| Papers (4) | Insight |
|---|---|
55 Citations | The paper discusses the use of response confidence as a measure to detect and validate response bias in the ratio bias task. |
12 Citations | The paper proposes a model-based family of statistics called CDRF and NCDRF to detect and quantify response bias in item bundles of any size. These statistics provide a powerful and flexible approach to studying response bias for categorical response data. |
| The paper describes systems and methods for detecting and measuring response bias by analyzing data from a user's input device in a survey and calculating metrics based on the movements of the device. The user's response bias is then calculated from these metrics. | |
| The paper provides simulations and analysis procedures to reliably distinguish and measure response biases from stimulus-induced biases and context-independent biases. |
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