scholarly journals Frame error in sample survey

2020 ◽  
Vol 11 (2) ◽  
pp. 318-322
Author(s):  
Neelam Kumar Singh
Keyword(s):  
Sampling Error ◽  
Target Population ◽  
Sample Survey ◽  
Dynamic Nature

Quite often sampling frames are incomplete and imperfect. The sampling results based on imperfect frame will lead to sampling and non-sampling error along with third error called frame error which is rarely discussed. This occurs because estimate based on sampling population will not conform to the target population because of imperfection of frame and dynamic nature of frame. It is emphasized that that attention should be drawn to the frame error.

scholarly journals Domain studies with imperfect frame in large population

2021 ◽  
Vol 17 (2) ◽  
pp. 620-626
Author(s):  
Neelam Kumar Singh
Keyword(s):  
Probability Distribution Function ◽  
Unbiased Estimate ◽  
Dynamic Change ◽  
Large Population ◽  
Qualitative Change ◽  
Target Population ◽  
Survey Sampling ◽  
Sample Survey ◽  
Dynamic Nature ◽  
Statistical Results

Existence of the frame is pre-requisite for any sample survey or census of a large population. Frames are quite often imperfect due to dynamic nature of sampling units. Frames become incomplete by the time actual survey and enumeration starts which affects the statistical results desired for the target population. In present study imperfection in the frame of large population arising due to qualitative change of units from one class to other have been considered. We have considered incomplete frame assuming the nature of units following dynamic change from class one to other follow a probability distribution function. Suitable estimator for proportion of units belonging to a particular domain and unbiased estimate of target population for a class have been proposed along with its estimate of variance. The estimates are evolved so as to eliminate error caused due to deviation of sampled population from target population. The paper deals with interesting problem arising in survey sampling and is useful in practice.

scholarly journals Perceptions of Undergraduate Students of Islamic Studies of the Importance of Soft Skills for Education and Future Career at King Khalid University

2021 ◽  
Vol 4 (9) ◽  
pp. 95-104
Author(s):  
Mesfer Ahmed Mesfer Alwadai
Keyword(s):  
Undergraduate Students ◽  
Quantitative Research ◽  
Engineering Students ◽  
Soft Skills ◽  
Sampling Error ◽  
Target Population ◽  
Research Approach ◽  
Islamic Studies ◽  
Future Career ◽  
Self Confidence

This paper examines Islamic undergraduate students’ awareness and perceptions of the importance of soft skills for education and future career among undergraduate students of Islamic Studies at King Khalid University. The study is carried out to redirect the focus of undergraduate students' training and development goals to the acquisition of soft skills, which have a very high effect on improving undergraduate student’s performances. This study aims to discover student awareness and perception towards the importance of soft skills among engineering students. This study adopted a quantitative research approach. A questionnaire was administered and used to gather the data.  Also, the questionnaire was specifically designed to examine the importance of soft skills for education and future career for Islamic Studies undergraduate students. The target population in this study consisted of 4500 Islamic undergraduate students. The purposive sample was 300 students were randomly selected from the population with an 85 percent confidence level within 0.05 risk of sampling error. The findings of the study indicated that   Islamic undergraduate students at King Khalid University were aware of the importance of soft skills for their education and future carrier as well. Participants ranked the following soft skills as the essential skills for Islamic undergraduate students' improving decision making, besides a greater willingness to accept the ideas of others, improving leadership skills, oral and verbal communication, a gain in self-confidence, small group discussions, and learned more about technology and various applications. They thought soft skills are important for accelerating students’ academic performance and developing the learning environment while less important for finding a better job opportunity and considering it a primary employment requirement by modern workplaces.

scholarly journals Estimating the Uncertainty of a Small Area Estimator Based on a Microsimulation Approach

2021 ◽  
pp. 004912412098619
Author(s):  
Angelo Moretti ◽  
Adam Whitworth
Keyword(s):  
Small Area ◽  
Mean Squared Error ◽  
Target Population ◽  
Sample Survey ◽  
Significant Development ◽  
New Approach ◽  
Small Areas ◽  
Nonnormal Distributions ◽  
Spatial Microsimulation ◽  
Sample Survey Data

Spatial microsimulation encompasses a range of alternative methodological approaches for the small area estimation (SAE) of target population parameters from sample survey data down to target small areas in contexts where such data are desired but not otherwise available. Although widely used, an enduring limitation of spatial microsimulation SAE approaches is their current inability to deliver reliable measures of uncertainty—and hence confidence intervals—around the small area estimates produced. In this article, we overcome this key limitation via the development of a measure of uncertainty that takes into account both variance and bias, that is, the mean squared error. This new approach is evaluated via a simulation study and demonstrated in a practical application using European Union Statistics on Income and Living Conditions data to explore income levels across Italian municipalities. Evaluations show that the approach proposed delivers accurate estimates of uncertainty and is robust to nonnormal distributions. The approach provides a significant development to widely used spatial microsimulation SAE techniques.

scholarly journals Impact of Work Atmosphere on Educators' Job Satisfaction in Pondichery Region

2019 ◽  
Vol 9 (2) ◽  
pp. 4487-4490
Keyword(s):  
Job Satisfaction ◽  
Target Population ◽  
The Self ◽  
Sampling Techniques ◽  
Quantitative Methodology ◽  
Dynamic Nature ◽  
Academic Organizations ◽  
Work Atmosphere ◽  
The Impact

In the era, academic organizations face many challenges because of the dynamic nature of the setting. one among the various challenges for a college is to satisfy its academics so as to cope up with the ever dynamic and evolving setting and to realize success and maintain their standards. one among the vital conditions for a tutor to provide best result's the cordial setting during which they work. the target of the most study is to research the impact of operating atmosphere on teachers’ job fulfilment. current study utilized a quantitative methodology. Datas was collected through the self-administered survey sorts form and an even tool. The target population consists of academics from Pondicherry region. For this study straightforward sampling techniques used for collections of datas from two hundred academics. The outcomes specify that there's a optimistic affiliation among operating atmosphere and teacher’s job satisfaction. It states the requirement of the management to comprehend the importance of excellent operating setting for maximising the extent of job fulfilment. A happy teacher would bring desired changes within the students and enhance their tutorial accomplishment

scholarly journals Health literacy measures are not worse in an urban district high in migration and unemployment compared to a citywide and a national sample

2021 ◽  
Author(s):  
Peter Putz ◽  
Andreas Patek
Keyword(s):  
Health Literacy ◽  
Ethnic Diversity ◽  
General Health ◽  
Employment Status ◽  
Target Population ◽  
National Sample ◽  
Sample Survey ◽  
Urban District ◽  
Cross Sectional ◽  
And Migration

Abstract Aim This study aimed at comparing health literacy measures, and their correlates, for the district of Favoriten to those of Vienna and Austria. The Viennese district of Favoriten was of particular interest, due to present characteristics, such as its high cultural and ethnic diversity as well as a relatively high unemployment rate. Subject and methods This study was set up as a cross-sectional, paper-based self-completion random sample survey. For each sample representing Favoriten, Vienna, and Austria, 500 adults were randomly drawn from the population register. Results Out of 1500 surveys sent out, 160 (10.7%) were included in the analysis. Regarding general health literacy, the sample of Favoriten scored highest (33.9; CI 95% 31.5, 36.3), followed by the samples of Austria (32.5; CI 95% 30.9, 34.2) and Vienna (31.5; CI 95% 29.6, 33.4). Higher household income (r = 0.46, p < 0.01), better education (r = 0.31, p = 0.09) and migration status outside the EU (d = −0.56, p = 0.12) showed moderately effect-sized associations to general health literacy in the sample of Favoriten, which was not the case for other characteristics such as age, gender, and employment status. Conclusion In the light of previous studies, reporting on associations of health literacy measures with social determinants, such as migration and employment status, the sample of Favoriten might well have been expected to result in impaired health literacy measures. Our results do not support this assumption, though. Despite the limited external validity of this study, policymakers and practitioners may be advised to design health literacy measures in such a way that specifically reaches out to the socially disadvantaged target population and not focus merely on pertinent districts or regions.

Assessing Community—Wide Outcomes of Prevention Marketing Campaigns through Telephone Surveys

2000 ◽  
Vol 6 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Jaana Myllyluoma ◽  
Patty Greenberg ◽  
Charles Wolters ◽  
Pamela Kaifer
Keyword(s):  
Response Rate ◽  
Sampling Strategy ◽  
Target Population ◽  
Public Health Research ◽  
Sample Survey ◽  
Community Based ◽  
Cross Sectional ◽  
Telephone Surveys ◽  
Local Site ◽  
Cross Sectional Design

Researchers at Battelle Centers for Public Health Research and Evaluation (CPHRE) were contracted by the Centers for Disease and Prevention (CDC) to conduct a random sample survey to serve as one component of the evaluation of the Prevention Marketing Initiative (PMI) Local Site Demonstration Project, a community-based HIV prevention program for adolescents. Data were collected from 1,402 adolescents over a 23-month period. A five wave, cross-sectional design was used. A dual sampling strategy combined Random Digit Dialing (RDD) with Listed Household (LHH) samples. Particular care was devoted to ensuring the rights of teenaged participants. Data were collected anonymously and concerns about confidentiality and privacy informed design and operational decisions. Response rate goals were achieved. Factors that may have contributed to the adequacy of the response rate include the use of advance letters and a toll-free phone line as well as sensitivity to the needs and concerns of the target population, the perceived legitimacy of CDC research and the perseverance of the interviewers.

scholarly journals Comparison of quota sampling and stratified random sampling

2021 ◽  
Vol 10 (1) ◽  
pp. 24-27
Author(s):  
Rufai Iliyasu ◽  
Ilker Etikan
Keyword(s):  
Random Sampling ◽  
Sampling Error ◽  
Cost Effective ◽  
Simple Random Sampling ◽  
Target Population ◽  
Stratified Sampling ◽  
Sampling Frame ◽  
Probability Sampling ◽  
Group Research ◽  
Quota Sampling

The possibility that researchers should be able to obtain data from all cases is questionable. There is a need; therefore, this article provides a probability and non-probability sampling. In this paper we studied the differences and similarities of the two with approach that is more of fritter away time, cost sufficient with energy required throughout the sample observed. The pair shows the differences and similarities between them, different articles were reviewed to compare the two. Quota sampling and Stratified sampling are close to each other. Both require the division into groups of the target population. The main goal of both methods is to select a representative sample and facilitate sub-group research. There are major variations, however. Stratified sampling uses simple random sampling when the categories are generated; sampling of the quota uses sampling of availability. For stratified sampling, a sampling frame is necessary, but not needed for quota sampling. More specifically, stratified sampling is a method of probability sampling which enables the calculation of the sampling error. For quota samples, this is not possible. Quota sampling is therefore primarily used by market analysts rather than stratified sampling, as it is mostly cost-effective and easy to conduct and has the appealing equity of satisfying population reach. However, it disguises potentially significant bias.

Standardized calibration adjustment index (SCAI): A new measure of survey data quality

2021 ◽  
pp. 1-8
Author(s):  
Burton Levine ◽  
Taylor Lewis ◽  
Jim Nonnemaker ◽  
Matthew Farrelly
Keyword(s):  
Data Quality ◽  
Survey Data ◽  
Auxiliary Information ◽  
Target Population ◽  
Sample Survey ◽  
Dual Frame ◽  
Sampling Frame ◽  
Quality Metric ◽  
Nonprobability Sample ◽  
The Difference

In this article, we introduce a new indicator of survey data quality called the standardized calibration adjustment index (SCAI). The SCAI quantifies the difference in the distributions of variables used in the calibration of survey respondents to the target population, accounting for the study design. It does so by a function of the change in respondent-level weights developed to calibrate the survey data to known population totals. A key feature of the SCAI is that it does not require auxiliary information to exist on the sampling frame. The SCAI can be used as a survey data quality metric in both probability and nonprobability sample settings, which we show through example applications with an outbound dual-frame random digit dialing telephone survey, an address-based sample survey, and a redirected inbound call sampling survey.

Target-Population Specific Screening and Brief Intervention Addressing College Student Alcohol Use

2014 ◽  
Author(s):  
M. Dolores Cimini ◽  
Karen L. Sokolowski ◽  
Joseph M. Monserrat ◽  
Joyce Y. Dewitt-Parker ◽  
Estela M. Rivero ◽  
...  
Keyword(s):  
College Student ◽  
Alcohol Use ◽  
Brief Intervention ◽  
Target Population ◽  
Screening And Brief Intervention
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