Suchergebnisse

A number of papers have found that personalization of salutations in e-mail communications may lead to higher response rates. Given their widespread use, Short Text Messages (SMS) may also be useful contact modes in surveys. Using experimental data from an online survey on Italian graduates, this work intends to evaluate the impact of personalized SMS salutations on response and measurement error. We find evidence that personalization has a positive impact on response rates and some indication that it may lead to better survey data. Limitations and implications of the study are also discussed.

The article examines the measurement error in estimates of change in employment characteristics based on panel surveys. The author's focus on the estimate of change in various characteristics of a respondent's employment such as occupation, industry, employed status, type of organization, & number of employees. As a result, the effects of dependent interviewing are evaluated by measuring any changes in the respondent's employment criteria. Tables, References. Adapted from the source document.

The authors examine how questionnaire structure affects survey interaction in the context of dependent interviewing (DI). DI is widely used in panel surveys to reduce observed spurious change in respondent circumstances. Although a growing literature generally finds beneficial measurement properties, little is known about how DI functions in interviews. The authors systematically observed survey interaction using behavior coding and analyzed an application of DI to obtain respondent employment characteristics. The authors found respondents indicated change in circumstances through a number of verbal machinations, including mismatch answers and explanations. Assessing whether these behaviors influenced subsequent question administration, the authors found qualitative evidence that the information disclosed when negating a DI question leads to subsequent interviewing errors. Quantitative analyses supported this evidence, suggesting that standardized interviewing deteriorates as respondents struggle to identify change in their circumstances. This analysis suggests that the reliability of detail about changed circumstances may not be improved using DI.

In the United Kingdom, in order to link individual-level administrative records to survey responses, respondents need to give their consent. Using an unprecedented set of respondent, interview, and interviewer characteristics derived from the British Household Panel Survey (BHPS) matched with an interviewer survey, this research investigates which characteristics influence consent to adding health and social security records to the survey responses. We find that consent is related to respondents' attitudes to privacy, community mindedness and data linkage salience as well as to some interview features such as the "household contagion effect" and the survey "fidelity." Interviewer characteristics, including their personality, attitudes to persuading respondents, and job experience, are not associated with consent. Interviewers' survey experience in the current wave and their task-specific experience, however, do influence consent. Implications of the findings are discussed and areas for future research are identified.

Linkages of household survey responses with administrative data may be based on unique individual identifiers or on survey respondent characteristics. The benefits gained from using unique identifiers need to be assessed in the light of potential problems such as non-response and measurement error. We report on a study that linked survey responses to UK government agency records on benefits and tax credits in five different ways. One matched on a respondent- supplied National Insurance Number and the other four used different combinations of sex, name, address, and date of birth. As many linkages were made using matches on sex, date of birth, and post-code, or on sex, date of birth, first name and family name, as were made using matches on self-reported National Insurance Number, and the former were also relatively accurate when assessed in terms of false positive and false negative rates. The five independent matching exercises also shed light on the potential returns from hierarchical and pooled matching.

This report derives from the project ?Improving survey measurement of income and employment (ISMIE)? which investigates measurement error in survey data on income and employment, using a UK sub-sample of the European Household Community Panel (ECHP). In this paper we describe the process of collecting validation data and the outcomes of the process. Validation data were obtained from two sources: employers? records and government benefit data from the Department for Work and Pensions (DWP). The former provided information on occupation and employment status, gross and net pay, membership of company pension schemes and industry sector. The latter provided histories of benefit receipt and tax credits, for example, child, disability, housing and unemployment benefits, pensions and income support.In the survey interview, respondents were asked for written permission both to obtain their DWP records and to contact their employer. They were also asked to provide information that would facilitate the process of obtaining the validation data: National Insurance number (NINO) and employer contact details. Subsequently, DWP records were extracted using a nonhierarchical matching strategy, based on different combinations of identifying variables obtained in the survey (NINO, sex, date of birth, name and postcode), and a survey of employers was carried out (mail, with telephone follow-up). The representativeness of the validation samples obtained depends on the co-operation of both survey respondents and providers of validation data, as well as errors in the matching process. We report permission rates, proportions providing matching items, match rates for the DWP data and response rates to the employer survey. We identify correlates of these measures of success at each stage of the validation process in terms of substantive characteristics of the survey respondents. Variation by subgroups is identified and implications for the representativeness of the validation sample are discussed.

The digital transition poses relevant challenges and opportunities for older adults in aging European societies. To unleash the potential of the digital transition in old age and avoid the risk of exclusion, digital education for older adults seems to be a valuable solution. One of the most suitable approaches to digital education for older adults appears to be the peer-to-peer approach. However, not much literature is available on this topic. Within the ACTIVE-IT project, we aimed to design, implement, and evaluate a digital peer education course for older adults, focusing specifically on the use of smartphones and daily utility apps, such as mailing, e-Gov, and e-commerce. The purpose of this contribution is to document the protocol adopted to evaluate the course. The course involved 32 participants aged 65 or older, who, between March 2024 and June 2024, divided into three groups, attended a 10-lesson weekly course taught by a peer. We aim to measure the effect of the course on participants' digital skills and their perceived wellbeing. To do so, we will adopt a mixed methods approach, employing: digital methods by collecting and analyzing data on participants' smartphone use (i.e., log data on smartphone use before/during/after the intervention); a quasi-experiment, collecting information on course participants' wellbeing before/after the course attendance using a questionnaire survey; ethnographic observation conducted during the course, observing interactions between subjects during the course. The study has been approved by the Ethic Committee of the University of Milano Bicocca (prot.nr. 167541/2024).

This study describes the conditions of older men and women in the UK and highlights gender differences in their degree of social inclusion, here defined with respect to: (i) use of services, (ii) provision of care, and (iii) participation in social networks. Using the 2001 Sample of Anonimised Records (SARs) we look at the current situation of older people (here defined as people aged 65 and over) in Britain. We document important gender imbalances in the age structure and marital status of older people, but point out that these differences will become less marked in the future according to the Government Actuarys projections. Using data from the General Household Survey we then investigate the extent of gender differences in older peoples degree of social inclusion. We find evidence that differences among older men and women with respect to service utilization, provision of informal care and participation in social networks are often the consequence of differences in marital status and living arrangements rather than gender differences per se.