Climate emotions, thoughts, and plans among US adolescents and young adults: a cross-sectional descriptive survey and analysis by political party identification and self-reported exposure to severe weather events.

Background: Climate change has adverse effects on youth mental health and wellbeing, but limited large-scale data exist globally or in the USA. Understanding the patterns and consequences of climate-related distress among US youth can inform necessary responses at the individual, community, and policy level.

Methods: A cross-sectional descriptive online survey was done of US youth aged 16-25 years from all 50 states and Washington, DC, between July 20 and Nov 7, 2023, via the Cint digital survey marketplace.

Interviewer Effects on the Measurement of Physical Performance in a Cross-National Biosocial Survey.

Biosocial surveys increasingly use interviewers to collect objective physical health measures (or "biomeasures") in respondents' homes. While interviewers play an important role, their high involvement can lead to unintended interviewer effects on the collected measurements. Such interviewer effects add uncertainty to population estimates and have the potential to lead to erroneous inferences.

Ethical Considerations for Augmenting Surveys with Auxiliary Data Sources.

Survey researchers frequently use supplementary data sources, such as paradata, administrative data, and contextual data to augment surveys and enhance substantive and methodological research capabilities. While these data sources can be beneficial, integrating them with surveys can give rise to ethical and data privacy issues that have not been completely resolved. In this research synthesis, we review ethical considerations and empirical evidence on how privacy concerns impact participation in studies that collect these novel data sources to supplement surveys.

Establishment survey participation during the COVID-19 pandemic.

Unlabelled: Establishment surveys around the globe have measured the impact of the COVID-19 pandemic on establishments' conditions and business practices. At the same time, the consequences of the pandemic, such as closures, hygiene standards, or remote work arrangements, may have also altered patterns of survey participation and introduced nonresponse bias, threatening the quality of establishment survey data. To investigate these issues, this article examines fieldwork outcomes, nonresponse bias, and predictors of survey participation in the IAB-Job Vacancy Survey.

Reducing Nonresponse and Data Linkage Consent Bias in Large-Scale Panel Surveys.

Selection bias is an ongoing concern in large-scale panel surveys where the cumulative effects of unit nonresponse increase at each subsequent wave of data collection. A second source of selection bias in panel studies is the inability to link respondents to supplementary administrative records, either because respondents do not consent to link or the matching algorithm fails to locate their administrative records. Both sources of selection bias can affect the validity of conclusions drawn from these data sources.

How to Catch a Falsifier: Comparison of Statistical Detection Methods for Interviewer Falsification.

Deviant interviewer behavior is a potential hazard of interviewer-administered surveys, with interviewers fabricating entire interviews as the most severe form. Various statistical methods (e.g.

The reliability of adult self-reported height: The role of interviewers.

Surveys serve as an important source of information on key anthropometric characteristics such as body height or weight in the population. Such data are often obtained by directly asking respondents to report those values. Numerous studies have examined measurement errors in this context by comparing reported to measured values.

Differences in beliefs about COVID-19 by gun ownership: a cross-sectional survey of Texas adults.

Objectives: We investigated the association between gun ownership and perceptions about COVID-19 among Texas adults as the pandemic emerged. We considered perceived likelihood that the pandemic would lead to civil unrest, perceived importance of taking precautions to prevent transmission and perceptions that the threat of COVID-19 has been exaggerated.

Methods: Data were collected from 5 to 12 April 2020, shortly after Texas' stay-at-home declaration.

Does Benefit Framing Improve Record Linkage Consent Rates? A Survey Experiment.

Survey researchers are increasingly seeking opportunities to link interview data with administrative records. However, obtaining consent from all survey respondents (or certain subgroups) remains a barrier to performing record linkage in many studies. We experimentally investigated whether emphasizing different benefits of record linkage to respondents in a telephone survey of employee working conditions improves respondents' willingness to consent to linkage of employment administrative records relative to a neutral consent request.

Nurse effects on measurement error in household biosocial surveys.

Background: Biosocial survey data are in high demand, yet little is known about the measurement quality of health measures collected by nurses in respondents' homes. Our objective was to analyze the degree to which nurses influence measurement in anthropometric and physical performance indicators collected from respondents in two nationally-representative UK biosocial surveys.

Methods: The English Longitudinal Survey of Ageing and the UK Household Longitudinal Study - Understanding Society were used to analyze fourteen anthropometric and physical performance measures covering weight, height, pulse, grip strength, and lung capacity.

The Effect of Framing and Placement on Linkage Consent.

Numerous surveys link interview data to administrative records, conditional on respondent consent, in order to explore new and innovative research questions. Optimizing the linkage consent rate is a critical step toward realizing the scientific advantages of record linkage and minimizing the risk of linkage consent bias. Linkage consent rates have been shown to be particularly sensitive to certain design features, such as where the consent question is placed in the questionnaire and how the question is framed.

Biases in multilevel analyses caused by cluster-specific fixed-effects imputation.

When datasets are affected by nonresponse, imputation of the missing values is a viable solution. However, most imputation routines implemented in commonly used statistical software packages do not accommodate multilevel models that are popular in education research and other settings involving clustering of units. A common strategy to take the hierarchical structure of the data into account is to include cluster-specific fixed effects in the imputation model.

How Big of a Problem is Analytic Error in Secondary Analyses of Survey Data?

Secondary analyses of survey data collected from large probability samples of persons or establishments further scientific progress in many fields. The complex design features of these samples improve data collection efficiency, but also require analysts to account for these features when conducting analysis. Unfortunately, many secondary analysts from fields outside of statistics, biostatistics, and survey methodology do not have adequate training in this area, and as a result may apply incorrect statistical methods when analyzing these survey data sets.

The association among medical home readiness, quality, and care of vulnerable patients.

Objectives: Despite broad support for the patient-centered medical home (PCMH), the implications of PCMH implementation efforts that require that participants have some degree of PCMH readiness at baseline are unclear. Therefore, we sought to examine the association among PCMH readiness, quality, and the care of vulnerable patients.

Study Design: We conducted a cross-sectional study of adult visits to a nationally representative sample of US office-based primary care physicians in 2007 and 2008.

Availability of In-Office Laboratory Services and Use of Prostate Specific Antigen Testing.

Introduction: There are concerns that the availability of in-office ancillary services may lower thresholds for evaluation, leading to the overuse of testing without clear benefit. Motivated by this issue, we analyzed nationally representative survey data, and examined for associations between the availability of in-office laboratory services and the use of prostate specific antigen testing.

Methods: Using restricted data from the 2006-2008 NAMCS, we determined the prevalence of physician practices offering on-site laboratory services.

Identifying diabetics in Medicare claims and survey data: implications for health services research.

Background: Diabetes health services research often utilizes secondary data sources, including survey self-report and Medicare claims, to identify and study the diabetic population, but disagreement exists between these two data sources. We assessed agreement between the Chronic Condition Warehouse diabetes algorithm for Medicare claims and self-report measures of diabetes. Differences in healthcare utilization outcomes under each diabetes definition were also explored.

Important considerations when analyzing health survey data collected using a complex sample design.

Researchers often use survey data to answer important public health policy questions. Examples of common data sources used in public health research include the National Health and Nutrition Examination Survey, the National Health Interview Survey, the Medical Expenditure Panel Survey, and the National Ambulatory Medical Care Survey. All these surveys employ a complex sample design to recruit participants into the survey.

In-office imaging capabilities among procedure-based specialty practices.

Background: Stark law's in-office ancillary services exception permits physicians to furnish designated health services in the office, including advanced imaging.

Objectives: To determine whether arrangements tailored to fit this loophole spur utilization.

Research Design: Cross-sectional.

Urologists and the patient centered medical home.

Purpose: Hopes are high that the delivery system reforms embodied in the patient centered medical home will improve the quality of care for patients with chronic diseases. While primary care physicians, given their training, will likely be the locus of care under this model, there are certain conditions for which urologists are well suited to provide the continuous and comprehensive care called for by the patient centered medical home. To assess the feasibility of the urology based patient centered medical home, we analyzed national survey data.

LINKING SURVEY AND ADMINISTRATIVE RECORDS: MECHANISMS OF CONSENT.

Survey records are increasingly being linked to administrative databases to enhance the survey data and increase research opportunities for data users. A necessary prerequisite to linking survey and administrative records is obtaining informed consent from respondents. Obtaining consent from all respondents is a difficult challenge and one that faces significant resistance.

Physician practices and readiness for medical home reforms: policy, pitfalls, and possibilities.

Objective: To determine the proportion of physician practices in the United States that currently meets medical home criteria.

Data Source/study Setting: 2007 and 2008 National Ambulatory Medical Care Survey.

Study Design: We mapped survey items to the National Committee on Quality Assurance's (NCQA's) medical home standards.

Characteristics of physical measurement consent in a population-based survey of older adults.

Background: Collecting physical measurements in population-based health surveys has increased in recent years, yet little is known about the characteristics of those who consent to these measurements.

Objective: To examine the characteristics of persons who consent to physical measurements across several domains, including one's demographic background, health status, resistance behavior toward the survey interview, and interviewer characteristics.

Research Design, Subjects, And Measures: We conducted a secondary data analysis of the 2006 Health and Retirement Study, a nationally-representative panel survey of older adults aged 51 and older.