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Background: In longitudinal research the loss of sample members between waves is a possible source of bias. It is therefore crucial to analyse attrition. Objective: This paper analyses attrition in a...
In longitudinal research the loss of sample members between waves is a possible source of bias. It is therefore crucial to analyse attrition.
In a heterogeneous cohort, the change with age in the force of mortality or some other kind of hazard or intensity of attrition depends on how the hazard changes with age for the individuals in the co...
In this paper, we evaluate the quality of survey data collected by the Malawi Diffusion and Ideational Change Project by investigating four potential sources of bias: sample representativeness, interv...
Longitudinal surveys will suffer from attrition and nothing will change that; however, years of lessons learned in the field show that straightforward survey methodology can minimize the impact of los...
Seeing that the average brain-weight of women is about five ounces less than that of men, on merely anatomical grounds we should be prepared to expect a marked inferiority of intellectual power in the...
Longitudinal household data can have considerable advantages over much more widely used cross-sectional data for capturing dynamic demographic relationships. Because the collection of longitudinal dat...
This paper investigates whether non-random sample attrition causes the black and white wage differences in the PSID data to deviate from the Current Population Survey (CPS). The empirical analysis sho...

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