Network analytical metrics often seek to capture the structural dimension of social capital, but such data collections using traditional social research tools often suffer from biases like interviewer effects and are usually only suitable to study small groups of participants. Digital sources of...

Network analytical metrics often seek to capture the structural dimension of social capital, but such data collections using traditional social research tools often suffer from biases like interviewer effects and are usually only suitable to study small groups of participants. Digital sources of...

Household income is difficult to measure, since it requires collecting information about all potential income sources for each member of a household. We assess the effects of two types of edit check questions on measurement error and survey estimates: within-wave edit checks use responses to...

"The objective of this study is to validate the World Food Programme's (WFP) method of establishing the prevalence of food insecurity. WFP's method has two parts: (1) the construction of a Food Consumption Score (FCS) and (2) the classification of food security status based on the FCS. Our...

The authors study the prediction of latent variables in a finite mixture of linear structural equation models. The latent variables can be viewed as well-defined variables measured with error or as theoretical constructs that cannot be measured objectively, but for which proxies are observed....

Researchers use Nielsen Homescan data, which provide detailed food-purchase information from a panel of U.S. households, to address a variety of important research topics. However, some question the credibility of the data since the data are self-recorded and the recording process is...