Sampling Frame. A description of the sampling frame, which is the totality of Items from which the Discovery Sample and, if any, Full Sample has been selected and an explanation of the methodology used to identify the sampling frame. In most circumstances, the sampling frame will be identical to the Population.
Sampling Frame. A description of the sampling frame, which is the totality of Interventional Cardiac Procedures from which the Interventional Cardiac Procedures Sample has been selected and an explanation of the methodology used to identify the sampling frame. In most circumstances the sampling frame will be identical to the Population.
Sampling Frame the identity of the sampling frame, which is the totality of the sampling units from which the sample will be selected.
Sampling Frame. A description of the Sampling Frame, which is the portion of the Population from which the Sample has been selected and an explanation of the methodology used to identify the Sampling Frame.
Sampling Frame. The Portion of the Population from which the sample is drawn. The Gambro Clinics shall be ranked according to the number of Stat Lab Requisitions during the 12-month period under review. The Sampling Frame shall consist of 50 Gambro Clinics, in the following strata: Top 50 Clinics 20 Sampling Units Next 100 Clinics 20 Sampling Units Remaining 400 10 Sampling Units
Sampling Frame. The Portion of the Population from which the sample is drawn. The Sampling Frame shall consist of the top 10% of Clinics with the highest xxxxxxxx per patient for separately billable drugs and nonlaboratory diagnostic tests (e.g., electrocardiograms).
Sampling Frame. A sampling frame defines the members of the population who are eligible to be included in the research sample, this puts a boundary around the cases acceptable to be included in this study (Xxxxxx, 2012, p. 801). It should be noted that no sample frame exists as no list of all the individual bankers in South Africa was available to the researcher, thus for the purposes of this study, the technique of non-probability sampling was used to select 5 bankers.
Sampling Frame. Identify the sampling frame, which is the totality of the sampling units from which the sample will be selected. The drug-benefit management engagement shall provide:
a. findings regarding the accuracy and integrity of MIM's drug-benefit management system (including, but not limited to, its strengths and weaknesses, internal controls, and effectiveness);
b. findings regarding whether MIM is properly processing claims reimbursed by Federal health care programs (i.e., properly reimbursing providers for goods and services provided to Federal health care program beneficiaries).
c. findings regarding MIM's procedures to correct inaccurate or untimely claims processing;
d. findings regarding any problems revealed by the audit regarding MIM's contractual dealings with manufacturers, distributors and retailers; and
e. findings regarding the steps MIM is taking to bring its operations into compliance or to correct problems identified by the audit.
Sampling Frame. The study population relevant for this master’s dissertation consists of entrepreneurs. The interviewees must be the owner of a business and must have made the decision to become self-employed some time ago. Only if these requirements are met, they can be questioned about their triggers and answer the research question of this thesis. Using the purposeful technique, the study population will be thinned out on the basis of some criteria. As little is known about the topic, it will be important to impose certain conditions in order to obtain relevant results. As people who recently started their venture will have a better recollection of the reasons why they started their own business than the owners of longer-established companies, the participants will have to be the owner of a start-up company. In conclusion, there are no restrictions on the age of the entrepreneurs, but on the age of their company. Only companies that started between 2010 and March 2020 are taken into consideration. As this is an exploratory research study, start-ups from all kinds of sectors may participate.
Sampling Frame. The target population of this study included children aged <5 years residing in Zamfara. A child was defined as being a resident of Zamfara if he/she lived there for at least 10 months of the previous year. Children <5 years were the focus of the study because they are the age group that is most vulnerable to health damage from lead, and no current child blood lead surveillance system currently exists in Nigeria. A 110cm stick was used for subject selection to represent the average height of a 5 year old, per MSF recommendations. While the level of lead contamination varies by village, discussions with colleagues at MSF, TerraGraphics Environmental Engineering, and the Zamfara State Ministry of Health (SMoH) informed the data collection team that gold ore appears to be distributed in villages state-wide. Therefore, all villages in all LGAs were included in the sampling frame, so as to be representative of the entire state. Sampling approach: While simple random sampling would have been the ideal approach, it is logistically difficult and expensive in a large geographic area and dispersed population like Zamfara. In addition, it would have required a listing of every member of the population, which does not exist. Zamfara State is divided into 14 local government areas (LGAs), for which census data are incomplete. A 2008 census only provided data down to the LGA level, not the village level. Therefore, population estimates were obtained using LandScan imagery data (Oak Ridge National Laboratory, Oak Ridge, TN, USA) which uses satellite data to provide 1km2 resolution population estimates. A sum of the one km2 grids in each LGA yielded population estimates comparable to the 2008 census. To obtain a representative sample of this region, at least two villages were randomly selected from each LGA. Each LGA was divided into five-by-five square kilometer grids, and villages were randomly selected from these grids, with the probability of selection relative to the LandScan population estimates. Seven compounds were randomly sampled within each selected village. Using an estimated average of 2.5 children <5 years old per compound, one child was selected for each compound with parental consent. Sample size: Sample size calculations for estimating prevalence of elevated BLL in mining and non-mining villages were based on the previous investigations of lead poisoning in Zamfara. In October-November of 2010, Lo et al (2012) found a prevalence of BLL ≥ 10 µg/dL in child...
