Presents a latent trait and a latent class model for analyzing the relationships among a set of mixed manifest variables using 1 or more latent variables. The set of manifest variables contains metric (continuous or discrete) and binary items. For the latent trait model the latent variables are...

We consider the assessment of disclosure risk in the release of microdata from social surveys as public-use files. We consider both identification risk and the notion of differential privacy introduced in the computer science literature. We show that sampling, as a disclosure limitation...

Statistical disclosure control refers to the methodology used in the design of the statistical outputs from a survey for protecting the confidentiality of respondents’ answers. The threat to confidentiality is assumed to come from a hypothetical intruder who has access to these outputs and...

The design effect measures the inflation of the sampling variance of an estimator as a result of the use of a complex sampling scheme. It is usually measured relative to the variance of the estimator under simple random sampling. Many social survey designs employ multi-stage sampling, leading to...

Government statistical agencies often apply statistical disclosure limitation techniques to survey microdata to protect confidentiality. There is a need for ways to assess the protection provided. This paper develops some simple methods for disclosure limitation techniques which perturb the...

Consideration of the National Minimum Wage requires estimates of the distribution of hourly pay. The UK Labour Force Survey (LFS) is a key source of such estimates. The approach most frequently adopted by researchers has been to measure hourly earnings from several questions on pay and hours....

This article considers the assessment of the risk of identification of respondents in survey microdata, in the context of applications at the United Kingdom (UK) Office for National Statistics (ONS). The threat comes from the matching of categorical 'key' variables between microdata records and...

This article considers the assessment of the risk of identification of respondents in survey microdata, in the context of applications at the United Kingdom (UK) Office for National Statistics (ONS). The threat comes from the matching of categorical “key“ variables between microdata records...

Classification error can lead to substantial biases in the estimation of gross flows from longitudinal data. We propose a method to adjust flow estimates for bias, based on fitting separate multinomial logistic models to the classification error probabilities and the true state transition...

The increasing efforts and costs required to achieve survey response have led to a stronger focus on survey data collection monitoring by means of paradata and to the rise of adaptive and responsive survey designs. Indicators that support data collection monitoring, targeting and prioritizing in...