Sampling Frame
Sampling Frame
Advanced Cell technologies are constantly conducting hundreds of clinical trials in order to gain more knowledge on stem cell research. When dealing with the ethical barriers derived from stem cell research Advanced Cell Technologies spare no resources to maintain a healthy line so crossing of moral barriers occur. In order to conduct and proceed with research, a set of specific sampling frames must first be created. In statistics, a sampling frame is the source material or device from which a sample is drawn. [1] It is a list of all those within a population who can be sampled, and may include individuals, households or institutions.
In many practical situations the frame is a matter of choice to the survey planner, and sometimes a critical one. [...] Some very worthwhile investigations are not undertaken at all because of the lack of an apparent frame; others, because of faulty frames, have ended in a disaster or in cloud of doubt.—Raymond James Jessen
Within an ideal sampling frame the following elements must be achieved. First, all units have a logical, numerical identifier. Second all units can be found - their contact information, map location or other relevant information is present. Thirdly, the frame is organized in a logical, systematic fashion. Next the frame has additional information about the units that allow the use of more advanced sampling frames. Next every element of the population of interest is present in the frame. Finally, every element of the population is present only once in the frame. At advanced cell research the company takes every aspect of a sampling frame into account, and will always when conducting such research.
References
1.^ a b c d e f g h i j k Carl-Erik Särndal; Bengt Swensson; Jan Wretman (2003). Model assisted survey sampling. Springer. pp. 9–12. ISBN 978-0-387-40620-6. Retrieved 2 January 2011. 2.^ Raymond James Jessen (1978). Statistical survey techniques. Wiley. Retrieved 2 January 2011.[page
Advanced Cell technologies are constantly conducting hundreds of clinical trials in order to gain more knowledge on stem cell research. When dealing with the ethical barriers derived from stem cell research Advanced Cell Technologies spare no resources to maintain a healthy line so crossing of moral barriers occur. In order to conduct and proceed with research, a set of specific sampling frames must first be created. In statistics, a sampling frame is the source material or device from which a sample is drawn. [1] It is a list of all those within a population who can be sampled, and may include individuals, households or institutions.
In many practical situations the frame is a matter of choice to the survey planner, and sometimes a critical one. [...] Some very worthwhile investigations are not undertaken at all because of the lack of an apparent frame; others, because of faulty frames, have ended in a disaster or in cloud of doubt.—Raymond James Jessen
Within an ideal sampling frame the following elements must be achieved. First, all units have a logical, numerical identifier. Second all units can be found - their contact information, map location or other relevant information is present. Thirdly, the frame is organized in a logical, systematic fashion. Next the frame has additional information about the units that allow the use of more advanced sampling frames. Next every element of the population of interest is present in the frame. Finally, every element of the population is present only once in the frame. At advanced cell research the company takes every aspect of a sampling frame into account, and will always when conducting such research.
References
1.^ a b c d e f g h i j k Carl-Erik Särndal; Bengt Swensson; Jan Wretman (2003). Model assisted survey sampling. Springer. pp. 9–12. ISBN 978-0-387-40620-6. Retrieved 2 January 2011. 2.^ Raymond James Jessen (1978). Statistical survey techniques. Wiley. Retrieved 2 January 2011.[page
References: 1.^ a b c d e f g h i j k Carl-Erik Särndal; Bengt Swensson; Jan Wretman (2003). Model assisted survey sampling. Springer. pp. 9–12. ISBN 978-0-387-40620-6. Retrieved 2 January 2011. 2.^ Raymond James Jessen (1978). Statistical survey techniques. Wiley. Retrieved 2 January 2011.[page needed] 3.^ a b Roger Sapsford; Victor Jupp (29 March 2006). Data collection and analysis. SAGE. pp. 28–. ISBN 978-0-7619-4363-1. Retrieved 2 January 2011. 4.^ Peter L. Bernstein (1998). Against the gods: the remarkable story of risk. John Wiley and Sons. pp. 118–. ISBN 978-0-471-29563-1. Retrieved 2 January 2011. 5.^ Leslie Kish (1995). Survey sampling. Wiley. ISBN 978-0-471-10949-5. Retrieved 11 January 2011