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This paper addresses the functioning and implications of new technologies for respondent engagement, respondent burden, accuracy, and retention.
Describes the construction of a highly detailed dataset of the US electric sector—the Micro-level Economic and Environmental Detail of Electricity.
Demonstrates growth-curve plotting techniques using the R package longCatEDA to create our illustrations.
Presents details for designing address-based sampling studies that incorporate the check for housing units missed (CHUM), appropriately incorporating missed units into area probability samples, and training field personnel to implement the CHUM.