I checked 7 public opinion journals on Thursday, September 24, 2026 using the Crossref API. For the period September 17 to September 23, I found 2 new paper(s) in 1 journal(s).

Journal of Survey Statistics and Methodology

Conditional Optimal Sampling: Enhancing Unequal-Probability Designs with Auxiliary Information
P García-Segador, P Miranda
Full text
We address the problem of selecting a fixed-size sample from a finite population when the goal is to reduce the estimation error as much as possible. Our approach builds on the idea of choosing samples that are nearly optimal with respect to the values of the study variable, even though these values are not observed in advance. Instead, we rely on predictions derived from auxiliary information, for example, through statistical or machine-learning models, and construct sampling designs that are optimal for these predicted values. We show that this strategy is remarkably effective: even when the predictions are imperfect, the resulting designs tend to be very close to the unknown optimal design based on the true values. To understand why this happens, we study the geometric structure underlying the space of all feasible sampling designs and use this perspective to develop practical algorithms. Simulation experiments indicate that the proposed methodology achieves noticeably lower estimation error than classical unequal-probability sampling methods commonly used in the literature, including balanced procedures such as cube and classical fixed-size designs like conditional Poisson sampling.
Information Content in Text and Voice Response Formats for Open-Ended Survey Questions
Camille Landesvatter, Paul C Bauer
Full text
Open-ended survey questions provide valuable data alongside closed-ended questions, but they can be challenging for respondents, leading to decreases in response quality. Our study explores how survey researchers can design open-ended questions to improve response quality and yield more informative answers. In particular, we examine the effect of requesting respondents to answer questions via voice input compared to text input. We use a US sample and questions adapted from popular social survey programs. By experimentally varying the response format, we examine which format produces answers with a higher amount of information. Our findings show that spoken responses tend to be longer and also slightly more informative in terms of entropy than written responses. We also identify sociodemographic and interview context-related factors that may influence the effectiveness of voice formats in certain settings.