The phrase "attrition might be" is correct and usable in written English.
It can be used when discussing the potential impact or occurrence of attrition in a specific context, such as in business or education.
Example: "In our analysis, we found that attrition might be a significant factor affecting employee retention rates."
Alternatives: "attrition could be" or "attrition may be".
Of course, the level of student attrition might be reduced given this guidance.
Recent articles using ELSA data suggest that sample attrition is, for example, greater among those who were in a disadvantaged socioeconomic position at the start of the study but any bias due to attrition might be only small [ 64].
Pilot studies for a trial of free home insulation suggested that attrition might be high, so the design was amended such that participants in the control group received the intervention after the study.
"It's likely that in this battle of attrition Globalstar might be one of the likely ones to survive," says Pascal Aguirre, vice president of Renaissance Strategy, a consulting firm in Boston, Mass.
Certainly Starbucks gets a better rate on Sharpies that what is quoted above, and the stated Sharpie attrition rate might be high, but either way it proves a lot of money is being spent on a program that has negative returns from a customer sentiment standpoint.
These further analyses suggest that the attrition, though it might be exaggerating the results with IQ, is unlikely to be the entire explanation for our results.
A set of questionnaire items from the baseline survey in 1989, which have been shown to predict attrition and therefore might be influencing the process causing the missing data (Goldberg, Chastang, Zins, Niedhammer, & Leclerc, 2006; Sterne et al., 2009), were included as auxiliary variables: education level, self-rated health, smoking status and alcohol use.
While other cadres of health workers in Ghana have expressed high levels of attrition intention [ 20], CHNs might be comparing themselves to community health volunteers and thus are more satisfied with their compensation than other formal providers, who do not compare themselves to volunteers.
This attrition might have been even greater if the news had not been recast into a softer and more critical form.
Although the direction of this effect is not likely to be influenced by attrition, the strength of this effect might be.
Nevertheless, outcome measures that might be followed include attrition rates, leaves of absence, academic performance, and overall satisfaction with medical school.
