A practical approach to calculate sample size for herd prevalence surveys

2004 ◽  
Vol 65 (3-4) ◽  
pp. 173-188 ◽  
Author(s):  
Roger W. Humphry ◽  
Angus Cameron ◽  
George J. Gunn
Author(s):  
T. Schwartzel ◽  
M. M. Eloff

A large proportion of students who enroll for postgraduate degrees never finish their studies, with non-completion rates yielding 30% for a sample size of 2000 students. A number of empirical studies have been conducted indicating the possible factors for the non-completion rate. This chapter briefly highlights such factors and proposes a possible solution to increase the number of successful studies using relevant philosophies and problem-solving to build insight in determining IS/IT solutions and innovations. A research methodology is suggested to enable data capturing aligned to research objectives and organise sub-problem solving effectively. The process of finding information, determining if it is relevant, and then relating it to existing keywords and topics can be facilitated by using a spreadsheet as a data generation method. The outcome may lead to a research proposal and study to investigate the problem identified, search for possible solutions, and prove/disprove the validity of the suggested solutions.


2013 ◽  
Vol 5 (3) ◽  
pp. 235 ◽  
Author(s):  
Jeehyoung Kim ◽  
Bong Soo Seo

2015 ◽  
Vol 53 ◽  
pp. 355-362 ◽  
Author(s):  
Dae-Soon Son ◽  
DongHyuk Lee ◽  
Kyusang Lee ◽  
Sin-Ho Jung ◽  
Taejin Ahn ◽  
...  

BMJ ◽  
2009 ◽  
Vol 339 (oct06 3) ◽  
pp. b3985-b3985 ◽  
Author(s):  
J. M. Bland

2006 ◽  
Vol 26 (4) ◽  
pp. 299-306
Author(s):  
Sang-Hyun Hwang ◽  
Heung-Bum Oh ◽  
Jeong-Min Chae ◽  
Min-Kwan Seo ◽  
Soon-Young Jung ◽  
...  

1998 ◽  
Vol 1 (1) ◽  
pp. 87-91 ◽  
Author(s):  
Robertino Mera ◽  
Hilary Thompson ◽  
Chandan Prasad

Sign in / Sign up

Export Citation Format

Share Document