"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...

Physical activity measurements derived from self-report surveys are prone to measurement errors. Monitoring devices like accelerometers offer more objective measurements of physical activity, but are impractical for use in large-scale surveys. A model capable of predicting objective measurements...

This article is an empirical contribution to the evaluation of the randomized response technique (RRT), a prominent procedure to elicit more valid responses to sensitive questions in surveys. Based on individual validation data, we focus on two questions: First, does the RRT lead to higher...

The paper presents the results of a survey carried out on the potential profiles of 1,068 Italian Young Professionals coming out from Assessment Center and Development Center activities. A review carried out on a database of potential profiles made available by GSO, which has acknowledged the...

This working paper used measurements of accelerometer-based and self-reported physical activity from the National Health and Nutrition Examination Survey 2003–2006 to develop and validate a set of models for predicting objective moderate to vigorous physical activity from self-report variables...