Topic
Accidental sampling
About: Accidental sampling is a research topic. Over the lifetime, 116 publications have been published within this topic receiving 1115 citations.
Papers published on a yearly basis
Papers
TL;DR: Respondent-driven sampling should be regarded as a (potentially superior) form of convenience sampling method, and caution is required when interpreting findings based on the sampling method.
Abstract: BACKGROUND: Respondent-driven sampling is a novel variant of link-tracing sampling for estimating the characteristics of hard-to-reach groups, such as HIV prevalence in sex workers. Despite its use by leading health organizations, the performance of this method in realistic situations is still largely unknown. We evaluated respondent-driven sampling by comparing estimates from a respondent-driven sampling survey with total population data. METHODS: Total population data on age, tribe, religion, socioeconomic status, sexual activity, and HIV status were available on a population of 2402 male household heads from an open cohort in rural Uganda. A respondent-driven sampling (RDS) survey was carried out in this population, using current methods of sampling (RDS sample) and statistical inference (RDS estimates). Analyses were carried out for the full RDS sample and then repeated for the first 250 recruits (small sample). RESULTS: We recruited 927 household heads. Full and small RDS samples were largely representative of the total population, but both samples underrepresented men who were younger, of higher socioeconomic status, and with unknown sexual activity and HIV status. Respondent-driven sampling statistical inference methods failed to reduce these biases. Only 31%-37% (depending on method and sample size) of RDS estimates were closer to the true population proportions than the RDS sample proportions. Only 50%-74% of respondent-driven sampling bootstrap 95% confidence intervals included the population proportion. CONCLUSIONS: Respondent-driven sampling produced a generally representative sample of this well-connected nonhidden population. However, current respondent-driven sampling inference methods failed to reduce bias when it occurred. Whether the data required to remove bias and measure precision can be collected in a respondent-driven sampling survey is unresolved. Respondent-driven sampling should be regarded as a (potentially superior) form of convenience sampling method, and caution is required when interpreting findings based on the sampling method.
288 citations
Journal Article•
TL;DR: In this article, the problem of selecting a sample adequate for a given research problem is discussed, in the sense that a sample can be viewed as adequate if and only if the sampling errors that result from the use of the stated sample size is so small as not to nullify conclusions reached by the researcher.
Abstract: Sampling problem can be contextualized as one of selecting a sample adequate for a given research problem. In most qualitative investigations, the problem associated with sampling is ever present and needs to be addressed in order ensure the credibility of research findings and undertakings. It happens to be the case that in most qualitative research, it is either impossible or costly prohibitive to study all cases of a phenomenon depending on the object of one’s research. This situation places limitation on the researcher in which she is compelled to select a certain proportion as the sample of study. The notion of adequate sampling comes into play, in the sense that a sample can be viewed as adequate if and only if the sampling errors that result from the use of the stated sample size is so small as not to nullify conclusions reached by the researcher. Sampling problem may be addressed in a number of ways. That is, to ensure that the sample size for a given study is adequate as well as representative of the universe of research study, the researcher needs to ensure that the sample is adequate so that conclusions drawn from the investigation would not be invalidated as a result of intolerable level of sampling error.
191 citations
TL;DR: This editorial describes probability and non-probability sampling methods and illustrates the difficulties and suggested solutions in performing accurate epidemiological research.
Abstract: Surveys of people's opinions are fraught with difficulties. It is easier to obtain information from those who respond to text messages or to emails than to attempt to obtain a representative sample. Samples of the population that are selected non-randomly in this way are termed convenience samples as they are easy to recruit. This introduces a sampling bias. Such non-probability samples have merit in many situations, but an epidemiological enquiry is of little value unless a random sample is obtained. If a sufficient number of those selected actually complete a survey, the results are likely to be representative of the population. This editorial describes probability and non-probability sampling methods and illustrates the difficulties and suggested solutions in performing accurate epidemiological research.
142 citations
TL;DR: In this paper , the authors investigated the effect of product, service quality, and customer satisfaction on customer loyalty in Restaurant XYZ and found that customer loyalty has a probability of 76.8 percent.
Abstract: Pujasera Melawai is one area in implementing the DKI Jakarta tourism office program. There are many traditional cuisine menus to choose from, one of which is Restaurant XYZ. This study determines the effect of the product, service quality, & customer satisfaction on customer loyalty in Restaurant XYZ. This study was based on quantitative methods with data collection using a questionnaire by accidental sampling and qualitative method by interviewing the owner of Restaurant XYZ. Quantitative data was taken by anyone who met the purchase requirements at least two times at Restaurant XYZ. The sample was 100 respondents that were analyzed by regression logistics. Based on the questionnaire result and interview with customers and key informants, the three indicators of product and service quality most influential to customer satisfaction and loyalty are response accuracy, product uniqueness, and employees' attention that makes customers happy and want to return restaurant. Based on the results, customer loyalty has a probability of 76.8 percent affected which product quality and customer satisfaction, service quality affects customer loyalty in Restaurant XYZ.
123 citations
TL;DR: The authors investigated the effects of casual work arrangements on employee job satisfaction and commitment in a segment of the hospitality sector in Australia, and found that casual employees experience varying levels of commitment and satisfaction according to their perceptions of work context factors such as training, promotion, work scheduling, management practices, and social integration.
Abstract: This research investigated the effects of casual work arrangements on employee job satisfaction and commitment in a segment of the hospitality sector in Australia. The authors surveyed a total of 454 casual employees: they interviewed 42 employees in a sample of clubs within the top two hundred registered clubs in the state of New South Wales (NSW), Australia, and 384 employees returned questionnaires from a sample of different clubs. For the interviews, the authors selected eighteen clubs using nonproportionate stratified sampling, the strata being small, medium, and large. The team conducted systematic random sampling of the clubs within each stratum. Using nonprobability accidental sampling, they then selected individual interviewees at the clubs. For the questionnaire survey, the sampling procedure was identical, but the team selected eighteen different clubs. Questionnaires were administered to all two thousand employees at these eighteen clubs. Because of a low response rate to the survey, the authors questioned an accidental sample of twenty casual employees, who admitted to not responding, in order to see whether their responses differed from those of the participants. The responses were very similar. Key findings suggest that casual employees experience varying levels of commitment and satisfaction according to their perceptions of work context factors such as training, promotion, work scheduling, management practices, and social integration. The authors encourage employers in highly casualized enterprises to involve and empower their casual employees, provide continuous feedback as well as behaviorally based formal performance appraisals, address the issue of training opportunities and program content for casual workers, and consider ways of developing their career paths.
104 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 79 |
| 2024 | 131 |
| 2023 | 444 |
| 2022 | 738 |
| 2021 | 34 |
| 2020 | 24 |