Добірка наукової літератури з теми "Telephone sampling methodology"

Abstract Redirected Inbound Call Sampling (RICS) is an emerging, nonprobability sampling methodology in which calls to nonworking numbers from callers throughout the United States are redirected to a telephone survey recruitment protocol and data collection system. The use of automated, interactive voice response technologies to recruit, screen, and collect data achieves significant cost savings and greatly reduces the time of fielding a survey compared with traditional dual-frame random-digit dialing (DFRDD) surveys that use interviewers for recruitment and data collection. The implementation of RICS that we fielded resulted in respondents who match some demographics of the population about as well as DFRDD telephone surveys. However, we demonstrate some non-ignorable challenges with measurement error in certain types of questions that arise from primacy effects associated with using an interactive voice response system for data collection. We present the results of a RICS study that was designed to better understand the reliability and validity of the data these surveys generate. The investigation presented in this manuscript is a first step to evaluating if RICS can be a fit-for-purpose solution for some survey needs. Our data suggest there is sufficient promise in the RICS methodology to warrant continued development and refinement.

During this presentation, several basic issues related to survey research will be introduced and illustrated. First several issues related to sampling will be considered. These will include how to determine sample size, where to obtain a sampling frame, how to compute error rates, and how to estimate costs associated with sampling. Mail surveys, telephone surveys, and face-to-face interviews will then be described and compared. The state of the art of these methods will be discussed, the costs associated with each method will be reviewed, and the advantages and disadvantages of each method will be described. Response rates will also be discussed. Next we will briefly review the kinds of information that can and cannot be obtained from a survey. Several principles concerning question wording, question order, and question context will be introduced. The presentation will conclude with a few suggestions about the linkages between surveys and statistical analysis.

Purpose This paper aims to compare residential fixed-line telephone surveys with cell phone surveys for assessing the extent of the potential undercoverage issue evaluating the necessity and feasibility of conducting cell phone surveys or dual-frame telephone surveys in Hong Kong. Design/methodology/approach The research team simultaneously carried out a conventional fixed-line telephone survey and a cell phone survey in 2015 with similar features on survey design, sampling and data collection procedures. Two samples with sample size of 801 and 1,203 were achieved separately. Data collected were analysed to see to what extent survey findings will be biased if the sampling frame of telephone surveys is solely based on residential fixed-line numbers in Hong Kong, and if such a bias does exist, whether a survey conducted through cell phones or by adding a cell phone-only (CO) group would be an ideal solution for it. Findings The findings show that the cooperation rates for the cell phone survey were much lower than those of the fixed-line telephone survey. The respondents from two surveys were fairly different. However, estimates of most commonly used socio-demographic characteristics from the latter group had the least bias compared with population statistics. Supplanting the traditional fixed-line survey with a cell phone survey or supplementing it with a CO group will not make the resulting sample a better representative of the population but it will amplify the sample bias on the major social socio-demographic characteristics. Originality/value This paper empirically compares the two types of telephone surveys in a well-designed scientific study.

Random digit dialing (RDD) telephone sampling, although experiencing declining response rates, remains one of the most accurate and cost-effective data collection methods for generating national population-based estimates. Such methods, however, are inefficient when sampling hard-to-reach populations because the costs of recruiting sufficient sample sizes to produce reliable estimates tend to be cost prohibitive. The authors implemented a novel respondent-driven sampling (RDS) approach to oversample cigarette smokers and lesbian, gay, bisexual, and transgender (LGBT) people. The new methodology selects RDS referrals or seeds from a probability-based RDD sampling frame and treats the social networks as clusters in the weighting and analysis, thus eliminating the intricate assumptions of RDS. The authors refer to this approach as RDD+RDS. In 2016 and 2017, a telephone survey was conducted on tobacco-related topics with a national sample of 4,208 U.S. adults, as well as 756 referral-based respondents. The RDD+RDS estimates were comparable with stand-alone RDD estimates, suggesting that the addition of RDS responses from social networks improved the precision of the estimates without introducing significant bias. The authors also conducted an experiment to determine whether the number of recruits would vary on the basis of how the RDS recruitment question specified the recruitment population (closeness of relationship, time since last contact, and LGBT vs. tobacco user), and significant differences were found in the number of referrals provided on the basis of question wording. The RDD+RDS sampling approach, as an adaptation of standard RDD methodology, is a practical tool for survey methodologists that provides an efficient strategy for oversampling rare or elusive populations.

The article summarizes the views on the current socio-political, cultural and economic situation in the context of sociological research in journalism. The study is aimed at analyzing the views of young people on what traditional religions they follow, the level of their religious knowledge and what they should do against the activities of non-traditional religious movements and religious extremist organizations and their destructive activities. The article, written using research methods such as pilot studies, rapid surveys, focus group interviews, uses the method of multistage random sampling of sociology in journalism. Quantitative and qualitative approaches to data collection have been implemented. The methods were used to organize and use focus groups, store, process, compare statistics, use the results in media research, select new methods and queries. The effectiveness of sociological research, the choice of respondents, open and closed types, survey methods (questionnaires, content analysis, expert interviews, in-depth interviews, telephone interviews, etc.) are considered. The goals and objectives of content analysis in the media are also clearly formulated. Methods used were social media polls, selective placement by industry, and random polls. The problems of sociological research (organization, planning, recognition of social reality) in the work of the editorial board were not left aside.

Purpose The adoption of telephone-delivered mental health services (TDMHS) for scaling collaborative care or addressing access to mental health services in routine primary care practice is gradual despite the needs of the population. Although there are multi-level factors associated with efficient implementation of collaborative care, there is limited understanding of clinicians’ perceptions, experiences and acceptability providing mental health treatment exclusively over the telephone. The purpose of this paper is to explore behavioral health clinicians’ delivery of mental health services over the telephone within primary care settings. Design/methodology/approach This qualitative study explored behavioral health professionals’ perceptions and experiences providing remote, TDMHS. Convenience sampling was used to recruit 11 clinicians in New York, California and Arizona who provided collaborative care services to patients exclusively over the telephone. Semi-structured interviews were conducted, and analyzed using qualitative content analysis methods. Findings Three main themes and associated subthemes emerged from the analyses. The first theme was participants’ perceptions of TDMHS prior to implementation relating to patient characteristics, patient engagement and comparison to in-person therapy. The second main theme identified was participants’ experiences implementing TDMHS with subthemes relating to benefits, quality of care, gaps in care and concerns implementing TDMHS. The final theme that emerged from the analysis was participants’ perceived acceptability of TDMHS by patients. Research limitations/implications The small sample size limits the generalizability of these findings. Practical implications Mental health services delivered over the telephone are perceived as feasible and acceptable by behavioral health clinicians. Originality/value This study contributes to gaps in research about behavioral health clinicians’ beliefs, uptake and acceptability toward mental health services delivered exclusively over the telephone.

Background Population-based health surveys are typically conducted using face-to-face household interviews in low- and middle-income countries (LMICs). However, telephone-based surveys are cheaper, faster, and can provide greater access to hard-to-reach or remote populations. The rapid growth in mobile phone ownership in LMICs provides a unique opportunity to implement novel data collection methods for population health surveys. Objective This study aims to describe the development and population representativeness of a mobile phone survey measuring live poultry exposure in urban Bangladesh. Methods A population-based, cross-sectional, mobile phone survey was conducted between September and November 2019 in North and South Dhaka City Corporations (DCC), Bangladesh, to measure live poultry exposure using a stratified probability sampling design. Data were collected using a computer-assisted telephone interview platform. The call operational data were summarized, and the participant data were weighted by age, sex, and education to the 2011 census. The demographic distribution of the weighted sample was compared with external sources to assess population representativeness. Results A total of 5486 unique mobile phone numbers were dialed, with 1047 respondents completing the survey. The survey had an overall response rate of 52.2% (1047/2006) and a co-operation rate of 89.0% (1047/1176). Initial results comparing the sociodemographic profile of the survey sample to the census population showed that mobile phone sampling slightly underrepresented older individuals and overrepresented those with higher secondary education. After weighting, the demographic profile of the sample population matched well with the latest DCC census population profile. Conclusions Probability-based mobile phone survey sampling and data collection methods produced a population-representative sample with minimal adjustment in DCC, Bangladesh. Mobile phone–based surveys can offer an efficient, economic, and robust way to conduct surveillance for population health outcomes, which has important implications for improving population health surveillance in LMICs.

As part of the agency's broader noise research program, the Federal Aviation Administration (FAA) has undertaken a multi-year research effort to quantify the impacts of aircraft noise exposure on communities around commercial service airports in the United States (U.S.). The overall goal of the study was to produce an updated and nationally representative civil aircraft dose-response curve; providing the relationship between annoyance and aircraft noise exposure around U.S. airport communities. To meet this goal, the FAA sponsored a research team to help design and conduct a national survey, known as the Neighborhood Environmental Survey (NES). Residents from households around 20 airports were selected for participation in the survey; the detailed sampling process is covered in another paper. Two survey instruments were administered to adult residents within the NES: a mail questionnaire and a follow-up telephone interview for the mail respondents. The mail survey was administered to samples of individuals in the selected airport communities in six separate "waves" over a 12-month period starting in October 2015. All mail survey respondents were invited to complete a follow-up telephone interview, which asked detailed questions on several areas including respondents' opinions on noise, exposure to aircraft noise, relationship to the airport, concerns about aircraft operations, views on airport community relations, among others. Analysis of the survey responses on annoyance levels and the associated DNL was used to estimate dose-response curves for each individual airport and a national dose-response curve. The national dose-response curve created from the mail questionnaire shows considerably more people are highly annoyed by aircraft noise at a given noise exposure level compared to historical FICON data. This paper provides a detailed discussion of the survey design and methodology. Additional information describing the motivation to conduct the NES and how its findings will help inform ongoing work to address aircraft noise concerns; and the noise methodology are provided in companion papers.

AbstractWe propose a new, model-based methodology to address two major problems in survey sampling: The first problem is known as mode effects, under which responses of sampled units possibly depend on the mode of response, whether by internet, telephone, personal interview, etc. The second problem is of proxy surveys, whereby sampled units respond not only about themselves but also for other sampled. For example, in many familiar household surveys, one member of the household provides information for all other members, possibly with measurement errors. Ignoring the existence of mode effects and/or possible measurement errors in proxy surveys could result in possible bias in point estimators and subsequent inference. Our approach accounts also for nonignorable nonresponse. We illustrate the proposed methodology by use of simulation experiments and real sample data, with known true population values.

Routine surveillance systems capture only a fraction of infectious intestinal disease (IID) that is actually occurring in the community. Different methodologies utilized among various international studies in the field were reviewed in order to devise an appropriate survey to obtain current estimates of prevalence of IID in Malta. An age-stratified retrospective cross-sectional telephone study was selected for the study due to its feasibility in terms of limited resources necessary (funds, time and human). The disadvantages of this type of study include the inherent biases such as selection bias (sampling, ascertainment and participation bias) and information bias (recall and observer bias). A pilot study was carried out using a random age-stratified sample of 100 persons over a 3-month period. A total of 5·0% (95% CI ±4·27) of the population was estimated to have suffered from IID during that period. This estimate was used in order to assist in sample size calculations for a large-scale community study. It also served to test the survey instrument and methodology and to identify operational problems.

Epidemiologically-designed, continuous and effective chronic disease and behavioural risk factor surveillance systems provide scientific evidence at the local level to assist government, health professionals and administrators, to respond effectively in reducing the burden associated with non-communicable diseases (NCDs). Many monitoring and surveillance systems utilise the telephone as the method of choice in obtaining population data. However, the dramatic change in telecommunication usage, diminishing coverage of telephone sampling frames and declining participation in household surveys, has led to methodological and statistical challenges. This has led to the present study that explores these challenges through an established telephone data collection system in Australia, the South Australian Monitoring and Surveillance System (SAMSS). The aim of this research is to determine how telephone surveys in Australia can continue to be used to reliably collect representative information on health indicators and other related health issues by exploring alternative efficient and cost effective methods. The first study, using face-to-face South Australian household survey data, found that using landline-based telephone number sampling frames excludes mobile-only households in Australia (27.8% of households in 2013). From 2006 to 2013, the proportion of mobile-only households has increased and this trend does not appear to be plateauing. This corresponds with the decrease in landline telephone coverage. Mobile-only households are demographically different in that respondents are more likely to be younger, never married and living in rented accommodation. By excluding this group, landline-based sampling frames may possibly produce biased health estimates for some health indicators, such as the proportion of people who are current smokers or who have a mental health condition. The second study found participation in SAMSS has decreased over a period of twelve years, with an 18.6% decrease in the response rate (from 68.9% in 2002 to 56.1% in 2014) and a 65.5% increase in the refusal rate. When demographic data are compared to Census data, SAMSS had a higher proportion of females, older people and people who rent, and these groups are increasingly being over-represented over time. The result from these studies imply that a mobile telephone sample needs to be incorporated. Unfortunately, there is no complete mobile telephone sampling frame in Australia with a geographical marker and only 7% of the currently used nationwide mobile telephone sampling frames are South Australian residents, making the sampling method uneconomic. This is compounded by lower participation in mobile telephone surveys compared to landline telephone surveys. Based on these methodological issues and corresponding with decline in participation, efficient methodological strategies need to be considered for smaller states like South Australia. The last two studies present two different cost effective and efficient methodological techniques, to minimise bias in health estimates due to nonresponse and sample coverage, and to increase participation in mobile telephone surveys. One study used raked weighting methodology to overcome, to some extent, the nonresponse biases and sampling coverage problems associated with telephone surveys. By incorporating more sociodemographic variables such as renting and marital status, besides the usual age, sex and area of residence, health estimates such as the proportion of current smokers corresponds well with other more expensive face-to-face surveys. The last study used a simple novel technique of sending a text message to prospective survey respondents to improve participation. This thesis has explored and shown, from a series of studies, that telephone surveys, with careful monitoring of procedures and use of innovative techniques and statistical methods, can still be used to collect and report information on chronic diseases and behavioural risk factors in Australia. The uniqueness of this body of works presents a detailed examination of the status of a current surveillance system by nonresponse rates, trends of nonresponse rates and coverage biases, and links this information to possible solutions to overcome nonresponse biases, with the aim of producing reliable and representative health estimates.
Thesis (Ph.D.) -- University of Adelaide, Adelaide Medical School, 2016