The increasing availability of high–dimensional, fine–grained data about human behaviour,
gathered from mobile sensing studies and in the form of digital footprints, is poised to …

Questionnaires are by far the most common tool for measuring noncognitive constructs in
psychology and educational sciences. Response bias may pose an additional source of …

This paper discusses a general framework for the analysis of rating and preference data that
is rooted on a class of mixtures of discrete random variables. These models have been …

A large variety of item response theory (IRT) modeling approaches aim at measuring and
correcting for response styles in rating data. Here, we integrate response style models of the …

Appropriate modelling of Likert‐type items should account for the scale level and the specific
role of the neutral middle category, which is present in most Likert‐type items that are in …

To improve the validity of self-report measures, researchers should control for response style
(RS) effects, which can be achieved with IRTree models. A traditional IRTree model …

Rating scales are susceptible to response styles that undermine the scale quality.
Optimizing a rating scale can tailor it to individuals' cognitive abilities, thereby preventing the …

Many approaches in the item response theory (IRT) literature have incorporated response
styles to control for potential biases. However, the specific assumptions about response …

Among the various forms of response bias that can emerge with self‐report rating scale
assessments are those related to anchoring, the tendency for respondents to select …

Country differences in response styles (RS) may jeopardize cross‐country comparability of
Likert‐type scales. When adjusting for rather than investigating RS is the primary goal, it …