Podcast
Questions and Answers
Which of the following techniques is commonly used to address endogeneity in research studies?
Which of the following techniques is commonly used to address endogeneity in research studies?
- Propensity score analysis (correct)
- Random assignment
- Sensitivity analysis
- Matching
Reverse causality occurs when the assumed cause is actually the effect. Which of the following study designs can help mitigate reverse causality issues?
Reverse causality occurs when the assumed cause is actually the effect. Which of the following study designs can help mitigate reverse causality issues?
- Longitudinal studies
- Panel data analysis
- Robust study designs
- All of the above (correct)
Selection bias occurs when the process of selecting study participants introduces systematic differences between the groups being compared. Which of the following techniques can be used to address selection bias?
Selection bias occurs when the process of selecting study participants introduces systematic differences between the groups being compared. Which of the following techniques can be used to address selection bias?
- Random assignment
- Matching
- Propensity score analysis
- All of the above (correct)
In the 2016 U.S. presidential election, pre-election polls suggested a high probability of victory for one candidate. However, the election outcome differed significantly from the predicted results, showcasing a case of inferential bias. What factors were overlooked in the polling methods?
In the 2016 U.S. presidential election, pre-election polls suggested a high probability of victory for one candidate. However, the election outcome differed significantly from the predicted results, showcasing a case of inferential bias. What factors were overlooked in the polling methods?
Which of the following best defines inferential bias?
Which of the following best defines inferential bias?
What is selection bias?
What is selection bias?
What is measurement bias?
What is measurement bias?
Which technique involves intentionally increasing the representation of a particular subgroup in the sample?
Which technique involves intentionally increasing the representation of a particular subgroup in the sample?
What is the purpose of stratified sampling?
What is the purpose of stratified sampling?
What is the distinction between correlation and causation?
What is the distinction between correlation and causation?
What is a contributory cause?
What is a contributory cause?
Which of the following is a method for estimating causal effects when a formal control group is not available?
Which of the following is a method for estimating causal effects when a formal control group is not available?
What is the purpose of causal analysis in business decision-making?
What is the purpose of causal analysis in business decision-making?
What are confounding variables in causal analysis?
What are confounding variables in causal analysis?
What is endogeneity in establishing causality?
What is endogeneity in establishing causality?
Which of the following sampling techniques can introduce bias as those selected may not represent the larger population, leading to invalid generalizations?
Which of the following sampling techniques can introduce bias as those selected may not represent the larger population, leading to invalid generalizations?
What is the potential bias in the data analysis caused by non-response?
What is the potential bias in the data analysis caused by non-response?
What is survivorship bias?
What is survivorship bias?
What is confirmation bias?
What is confirmation bias?
True or false: Inferential bias can lead to incorrect conclusions and flawed decision-making.
True or false: Inferential bias can lead to incorrect conclusions and flawed decision-making.
True or false: Selection bias occurs when the sample used for analysis is not representative of the entire population.
True or false: Selection bias occurs when the sample used for analysis is not representative of the entire population.
True or false: Measurement bias occurs when there are errors or inaccuracies in the measurement instruments or techniques used to collect data.
True or false: Measurement bias occurs when there are errors or inaccuracies in the measurement instruments or techniques used to collect data.
True or false: Random sampling is a technique used to reduce bias in data analysis.
True or false: Random sampling is a technique used to reduce bias in data analysis.
True or false: Oversampling involves intentionally decreasing the representation of a particular subgroup in the sample.
True or false: Oversampling involves intentionally decreasing the representation of a particular subgroup in the sample.
True or false: Stratified sampling helps mitigate bias by ensuring that each subgroup is proportionally represented.
True or false: Stratified sampling helps mitigate bias by ensuring that each subgroup is proportionally represented.
True or false: Cross-validation is a technique used to assess the performance and reduce bias in model development.
True or false: Cross-validation is a technique used to assess the performance and reduce bias in model development.
True or false: Sampling bias occurs when the sample used in data analysis is not representative of the entire population, leading to biased inferences.
True or false: Sampling bias occurs when the sample used in data analysis is not representative of the entire population, leading to biased inferences.
True or false: Non-response bias occurs when individuals selected for a study or survey do not respond, leading to a potential bias in the data analysis.
True or false: Non-response bias occurs when individuals selected for a study or survey do not respond, leading to a potential bias in the data analysis.
True or false: Survivorship bias occurs when conclusions or decisions are drawn based only on the individuals or entities that 'survived' a particular process or selection.
True or false: Survivorship bias occurs when conclusions or decisions are drawn based only on the individuals or entities that 'survived' a particular process or selection.
True or false: Confirmation bias refers to the tendency to seek, interpret, and favor information that confirms pre-existing beliefs or hypotheses, while ignoring or discounting contradictory information.
True or false: Confirmation bias refers to the tendency to seek, interpret, and favor information that confirms pre-existing beliefs or hypotheses, while ignoring or discounting contradictory information.
Experimental studies involve the use of controlled experiments to establish causality between variables.
Experimental studies involve the use of controlled experiments to establish causality between variables.
Quasi-experimental studies lack full control over the assignment of participants to different groups.
Quasi-experimental studies lack full control over the assignment of participants to different groups.
Counterfactual analysis involves comparing what actually happened with what would have happened under different conditions.
Counterfactual analysis involves comparing what actually happened with what would have happened under different conditions.
Difference-in-Differences (DID) analysis is a method for estimating causal effects when a formal control group is not available.
Difference-in-Differences (DID) analysis is a method for estimating causal effects when a formal control group is not available.
True or false: Reverse causality occurs when the assumed cause is, in fact, the effect.
True or false: Reverse causality occurs when the assumed cause is, in fact, the effect.
True or false: Selection bias occurs when the process of selecting study participants introduces systematic differences between the groups being compared, leading to biased causal inferences.
True or false: Selection bias occurs when the process of selecting study participants introduces systematic differences between the groups being compared, leading to biased causal inferences.
True or false: Inferential bias can lead to incorrect conclusions and flawed decision-making.
True or false: Inferential bias can lead to incorrect conclusions and flawed decision-making.
True or false: Selection bias occurs when the sample used for analysis is not representative of the entire population.
True or false: Selection bias occurs when the sample used for analysis is not representative of the entire population.
What is inferential bias and why is it important in data analysis?
What is inferential bias and why is it important in data analysis?
What are the types of inferential bias discussed in the text?
What are the types of inferential bias discussed in the text?
Can you provide a real-world example demonstrating the impact of selection bias on data interpretation?
Can you provide a real-world example demonstrating the impact of selection bias on data interpretation?
What is the definition of selection bias?
What is the definition of selection bias?
What is the purpose of stratified sampling?
What is the purpose of stratified sampling?
What is non-response bias?
What is non-response bias?
What is confirmation bias?
What is confirmation bias?
What is the purpose of random sampling in data analysis?
What is the purpose of random sampling in data analysis?
What is the difference between correlation and causation?
What is the difference between correlation and causation?
What is the purpose of stratified sampling?
What is the purpose of stratified sampling?
How does cross-validation help reduce bias in model development?
How does cross-validation help reduce bias in model development?
What is the role of causality in business decision-making?
What is the role of causality in business decision-making?
What are experimental studies and how do they establish causality?
What are experimental studies and how do they establish causality?
What is counterfactual analysis and how does it estimate causal effects?
What is counterfactual analysis and how does it estimate causal effects?
What are confounding variables and how do researchers address them in causal analysis?
What are confounding variables and how do researchers address them in causal analysis?
What is endogeneity and how does it impact causal relationships in research studies?
What is endogeneity and how does it impact causal relationships in research studies?
What is reverse causality and why is it problematic in establishing causal relationships?
What is reverse causality and why is it problematic in establishing causal relationships?
What is selection bias and how does it impact causal inferences in research studies?
What is selection bias and how does it impact causal inferences in research studies?
What are some techniques that researchers can use to address selection bias in research studies?
What are some techniques that researchers can use to address selection bias in research studies?
