Construct · 2 fields · 2 citations

Where does attrition collide?

One name. Different field. Different construct. One map.

● jingle · one word, two constructs Nearest construct by meaningdropoutcompare the meanings
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attrition2 CONSTRUCTSParticle attritionGWYN · PARTICLE WEARAttrition biasHAUSMAN · DROPOUT BIAS

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2026

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Chemical and materials engineering

Breakdown of solid particles by abrasion

In chemical and materials engineering, attrition is the gradual breakdown of solid particles into smaller fragments and fines through the abrasion and impact they undergo as they collide with each other and with equipment walls. Gwyn's 1969 study On the particle size distribution function and the attrition of cracking catalysts modelled how catalyst grains in a fluidised bed wear down over time and shift the particle size distribution, and it remains a standard reference for measuring attrition rate. The referent is a mechanical wearing of a bulk solid, tracked by how its size distribution changes, and it is unrelated to a penitent's sorrow, employees leaving a firm, or subjects dropping out of a study.[1]

Unit
Mass of fines generated per mass of solid over time
Recovery means
Not applicable
Measured by
Quantified in test rigs by the fines produced and the change in particle size distribution over time

Research methods and statistics

Participant dropout that biases estimates

In research methods and statistics, attrition is the loss of participants from a study before it ends, especially in longitudinal or panel designs where people drop out between waves. Hausman and Wise's 1979 paper Attrition Bias in Experimental and Panel Data showed that when dropout is related to the outcome being studied, the remaining sample stops being representative and estimates become biased, a problem now known as attrition bias. The referent is missing follow-up data and the threat it poses to valid inference, reported as a dropout rate and modelled as a source of bias, and it is not a worn particle, a penitent's sorrow, or a firm shrinking its payroll.[2]

Unit
Participants lost per wave, as a proportion of the sample
Recovery means
Not applicable
Measured by
Reported as a dropout or retention rate and modelled with selection and weighting methods to correct bias

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Nearby collisions

dropout3 fields · 3 citationsjingle · one word, three constructsturnover4 fields · 4 citationsjingle · one word, four constructsmortality4 fields · 5 citationsjingle · one word, four constructs

References

  1. Gwyn, J. E. (1969). On the particle size distribution function and the attrition of cracking catalysts. AIChE Journal, 15(1), 35–39. https://doi.org/10.1002/aic.690150112
  2. Hausman, J. A., & Wise, D. A. (1979). Attrition bias in experimental and panel data: The Gary income maintenance experiment. Econometrica, 47(2), 455–473. https://doi.org/10.2307/1914193

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