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A growing body of research seeks to include people with dementia as both participants and co-designers. It is also increasingly recognized that dementia research must pay greater attention to informal care, provided by family and friends in non-institutional settings, because this is the situation of most people affected by dementia. Accessing these kinds of naturalistic care sites through meaningfully inclusive studies can be challenging for researchers in many fields. The paper aims to discuss this issue.

This paper describes a methodology designed to facilitate meaningful inclusion and access to hard-to-reach dementia care networks. It describes the implementation of this methodology in the field, the problems that emerged and the lessons learned.

A two-step sampling approach was used. People with dementia were sampled through organizations unrelated to dementia. Care networks were sampled through ecomapping with people with dementia. The strategy successfully accessed the desired population, but it was labour-intensive and biased the sample in several respects.

It is hoped that this outline will encourage further reflection and discussion regarding methodological approaches to complex sampling and recruitment issues in dementia research.

Recruitment and selection in the construction industry is ad hoc – the search for workers to match immediate employment needs is unsystematic, usually conducted in a short‐termist manner, and often contributes to, rather than overcomes, persistent recruitment difficulties and skill shortages. The purpose of this paper is to explore the recruitment context and selection practice in the Scottish construction sector, and proposes a model of the selection decision process which may provide an explanation for this apparently unsystematic approach.

A survey based on a sample from the 1998 Scottish Chambers of Commerce Business Survey database was used to examine the pattern of recruitment, contextual influences on recruitment, the qualities sought by employers, and the extent of use of various recruitment and selection methods. Further qualitative data was gathered from a subset of construction and surveyors firms to explore the nature of selection processes.

The data highlighted the lack of rigour in recruitment and selection and the presence of formalised procedures only in the larger firms. Qualitative evidence shows an emphasis on the visual assessment of work, the importance of site managers in making decisions, and the presence of local industry networks.

The survey could provide only an indicative description of practice amongst Scottish firms and larger scale accounts of practice would be useful. Nevertheless, the contribution of the qualitative research was to explore the dynamics of selection for a rarely studied work context.

Construction firms are found to share many of the constraints in adopting formal HRM practices already identified in small firms in unpredictable environments.

Recruiters’ decision to use recruitment methods (RMs) depends on several expected outcomes such as number applications, quality of applicants, speed of filling up vacancy, post joining job performance, absenteeism, commitment and satisfaction of the applicants. RMs may vary from each other in terms of its capability to communicate different type of information. The current research aims at exploring recruiter's intention to use RMs like job advertisement (JA), online recruitment (OLR) and social media in reference to several recruitment outcomes (ROs). Further, the role of information credibility and sufficiency (ICS) on recruiter's intention to use has been studied.

Data were collected from 242 recruiters from the manufacturing and service sector of India. The survey instrument consists of RMs, recruitment outcome and credibility and satisfaction that are identified following the theory of planned behavior (TPB). Confirmatory factor analysis (CFA) was used for a simultaneous assessment of overall and specific elements of measurement validity and reliability. Structural equation modeling (SEM) is used to test the hypothesized model.

The result shows that RMs significantly relates with ROs. In detail, social media recruitment (SMR) significantly relates with pre ROs and post ROs; OLR significantly relates with pre ROs and post ROs and JA significantly relates post ROs. Only JA insignificantly relates with pre ROs. The result also supports the hypothesis that ICS acts as a mediator between the influences of RMs on ROs.

The result of the study has important theoretical and managerial implications. The theoretical implication is explained from the perspective of signaling theory (ST) and elaboration likelihood model (ELM) theory.

The study is unique as multiple RMs have been studied with reference to both pre and post ROs using the data collected from the recruiters.

We examine sample characteristics and elicited survey measures of two studies, the Health and Retirement Study (HRS), where interviews are done either in person or by phone, and the Understanding America Study (UAS), where surveys are completed online and a replica of the HRS core questionnaire is administered. By considering variables in various domains, our investigation provides a comprehensive assessment of how Internet data collection compares to more traditional interview modes. We document clear demographic differences between the UAS and HRS samples in terms of age and education. Yet, sample weights correct for these discrepancies and allow one to satisfactorily match population benchmarks as far as key socio- demographic variables are concerned. Comparison of a variety of survey outcomes with population targets shows a strikingly good fit for both the HRS and the UAS. Outcome distributions in the HRS are only marginally closer to population targets than outcome distributions in the UAS. These patterns arise regardless of which variables are used to construct post-stratification weights in the UAS, confirming the robustness of these results. We find little evidence of mode effects when comparing the subjective measures of self-reported health and life satisfaction across interview modes. Specifically, we do not observe very clear primacy or recency effects for either health or life satisfaction. We do observe a significant social desirability effect, driven by the presence of an interviewer, as far as life satisfaction is concerned. By and large, our results suggest that Internet surveys can match high-quality traditional surveys.

The aim of this paper is to present a sampling method using virtual networks to study “hard‐to‐reach” populations. In the ambit of social research, the use of new technologies is still questioned because the selection bias is an obstacle to carry on scientific research on the Internet. In this regard, the authors' hypothesis is that the use of social networking sites (Web 2.0) can be effective for the study of “hard‐to‐reach” populations. The main advantages of this technique are that it can expand the geographical scope and facilitates the identification of individuals with barriers to access. Therefore, the use of virtual networks in non‐probabilistic samples can increase the sample size and its representativeness.

To test this hypothesis, a virtual method was designed using Facebook to identify Argentinean immigrant entrepreneurs in Spain (214 cases). A characteristic of this population is that some individuals are administratively invisible in national statistics because they have double nationality (non‐EU and EU). The use of virtual sampling was combined with an online questionnaire as a complementary tool for Web 2.0 research in behavioural sciences.

The number of cases detected by Facebook and the virtual response rate is higher than traditional snowball technique. The explanation is that people increase their level of confidence because the researcher shows his personal information (Facebook's profile) and also participates in their groups of interest (Facebook's groups). Moreover, the online questionnaires administration allows the quality of the information to be controlled and avoids duplication of cases.

The present article is the first that uses Facebook as an instrument to study immigrants. Therefore its adoption represents a great challenge in the social research field because there are many barriers of access and search. It also proposes a novel mix of traditional methodologies updated with the use of new virtual possibilities of studying hard to reach populations, especially in areas of social research where the contributions of these methods are less developed.

Deliberative procedures can be useful when researchers need (a) an informed opinion that is difficult to obtain using other methods, (b) individual opinions that will benefit from group discussion and insight, and/or (c) group judgments because the issue at hand affects groups, communities, or citizens qua citizens. Deliberations generally gather non-professional members of the public to discuss, deliberate, and learn about a topic, often forming a policy recommendation or casting an informed vote. Researchers can collect data on these recommendations, and/or individuals’ preexisting or post hoc knowledge or opinions. This chapter presents examples of deliberative methods and how they may inform bioethical perspectives and reviews methodological issues deserving special attention.

Recovery for residents who experience co-occurring problems and live in supported housing takes place in everyday contexts. This study aims to explore residents’ self-reported recovery and quality of life and examine the relationships between these factors and issues in supported housing.

A cross-sectional study was conducted at 21 supported housing sites in six cities across Norway. A total of 104 residents (76 men and 28 women) responded to measures of recovery (Recovery Assessment Scale – Revised), life satisfaction (Manchester Short Assessment of Quality of Life), affect (single items), staff support (Brief INSPIRE) and sense of home (single items).

Linear regression analyses indicated associations between recovery and staff support (B = 0.01, 95% CI = 0.01-0.02, ß = 0.39), housing satisfaction (B = 0.15, 95% CI = 0.07-0.22, ß = 0.38), sense of home (B = 0.23, 95% CI = 0.14-0.32, ß = 0.49) and satisfaction with personal economy (B = 0.11, 95% CI = 0.05-0.17, ß = 0.33). Similarly, associations were found between life satisfaction and staff support (B = 0.03, 95% CI = 0.02-0.04, ß = 0.46), housing satisfaction (B = 0.63, 95% CI = 0.46-0.80, ß = 0.60), sense of home (B = 0.65, 95% CI = 0.42-0.87, ß = 0.51) and satisfaction with personal economy (B = 0.34, 95% CI = 0.19-0.50, ß = 0.39).

The findings imply that core issues in supported housing, namely, staff support, housing satisfaction, sense of home and satisfaction with personal economy, are associated with recovery and quality of life.

Purpose — Describe the system set-up and processing requirements for a long-duration longitudinal Global Positioning System (GPS)/prompted-recall (PR) survey conducted in Sydney, Australia and assess reaction and cognition of participants.

Design/methodology/approach — The survey uses data collected using an in-car GPS device within a PR interface accessed over the Internet by participants. Technical requirements, interface design and survey administration of the survey are discussed. This is followed by an assessment of participant burden and cognition by analysing user activity on the PR and comparing participant responses to information inferred from the GPS data.

Findings — New technologies have allowed for increasingly sophisticated data collection efforts but they require substantial resources to translate this into a usable form. This study shows these technologies can be used to conduct long-duration travel studies in a way that is appealing and engaging to participants. However, it was found that responses to the PR are sometimes inconsistent and caution should be drawn in taking PR responses as the ‘ground truth’.

Research limitations/implications — The relatively low participant burden of this study shows long-duration studies are feasible if care is taken to limit the work required by participants. The inconsistency of the responses to the PR suggest future surveys may need to employ mechanisms that are better able to aid participants in accurately completing the survey.

Originality/value — Details the requirements of running a long-duration GPS/PR survey and assesses participant burden and cognition of the survey which are often not reported.

This study draws on the author's experiences building rapport through online chat for data collection for the author's doctoral dissertation. The author contacted ten Korean women via online chat to recruit and faced the most challenging situation; building rapport. As the Millennial generation is known as being tech-savvy or digital natives, the author actively used emoticons (pictorial representations of facial expressions using characters) with potential interviewees and completed ten interviews. Therefore, this paper offers a new qualitative interviewing method in feminist research.

The paper briefly reviews the works of literature on interviewing women on sensitive topics and building rapport before the interview. Then, the author introduced using emoticons to create rapport during the data collection process and how a non-traditional approach positively impacts the interviewer and interviewee before, during and even after the interview.

Women participants' responses and behaviors differed after building a rapport through an online chat. They were willing to share their personal stories and memories with the interviewer even though the interviewer did not ask.

This study provides a stepping stone for developing an account of the new qualitative methodological approach, specifically feminist qualitative research.

Few studies have described how qualitative researchers create a rapport in virtual space, specifically using emoticons. Also, this study suggests a new methodological approach since nonverbal communication in online chat is inevitable when interviewing people in qualitative research.