CHAPTER 16 Measure Your Mission Flashcards
(70 cards)
Why is it important to measure outcomes and treatments that correspond to your mission?
To ensure that improvements are not misleading and accurately reflect the achievement of your goals.
What can happen if you measure an outcome in an incomplete way?
Apparent improvements may be misleading.
What should you consider when applying lessons drawn from data to a new context?
Whether the contexts are sufficiently similar for the lessons to hold.
What is a potential issue when trying to use a relationship to achieve a goal?
The relationship may disappear once you try to use it.
What is a common issue when measuring outcomes related to a mission?
Measuring an outcome or treatment that doesn’t correspond to what you are really interested in.
What are partial measures in the context of measuring missions?
Measures that capture only part of the overall mission, like standardized test scores for educational achievement.
What is a potential problem with partial measures?
Improvements on one dimension might coincide with losses on other dimensions.
What is a simple reason for negative correlations across dimensions of a problem?
Resource constraints.
What is strategic adaptation?
Efforts to improve outcomes on some dimensions lead people to adjust their behavior to circumvent those efforts.
What significant security measure was implemented in U.S. airports in the early 1970s?
Metal detectors.
What might be a misleading conclusion drawn from the reduction of hijackings after installing metal detectors?
It may not reflect overall security improvements, as other types of terrorist attacks could increase.
What are intermediate outcomes?
Steps along the path of the mission that are easier to measure than the ultimate outcome.
Why might measuring intermediate outcomes be problematic?
They may not accurately reflect the ultimate mission or final outcome.
What is an example of an intermediate outcome in medical research?
Blood pressure as a predictor of heart attacks.
What is one issue with using tumor size as an intermediate outcome in cancer research?
It may not accurately predict mortality since many tumors are not harmful.
What should researchers consider when interpreting the relationship between intermediate outcomes and their missions?
The clarity of the causal relationship between the intermediate outcome and the actual mission.
What does it mean for a mission to be ill-defined?
There may be multiple reasonable ways to measure it, impacting the choice of outcomes and treatments.
What can be misleading when following the strategies of the richest people to maximize earnings?
Assuming that dropping out of college and starting a tech company guarantees success.
What concept is illustrated by examining the correlation between dropping out of college and wealth?
Correlation does not imply causation.
What is p-hacking?
Studying a small population and looking for commonalities that may not represent a true relationship.
What is p-hacking?
Engaging in questionable research practices to find statistically significant results
P-hacking involves manipulating data or analyses to achieve desired outcomes.
Why might dropping out of college to start a tech company be a bad idea?
It may lead to serious debt and doesn’t guarantee higher expected earnings
Correlation observed may not imply causation.
What is the primary concern when measuring outcomes for decision making?
Correctly measuring your mission and defining what outcome you care about
This includes considering expected earnings versus probability of extreme wealth.
What can be a consequence of dropping out of college?
Increased likelihood of being in serious debt
It may also reduce expected earnings.