Sampling is the process by which representatives are picked from a large population to work with, in a statistical study. Samples are taken in a way that reflects the characteristics of the population. Sampling methods vary depending on the scope of the study and include random sampling, systematic sampling and the quota sampling. (Dunn, et al, 2011.pg 7). The LSIC surveyed the families of 1670 children from the 11 sites across the country which was taken randomly.
The data was collected directly through face to face interviews between the care giver and the locally employed LSCI officials. (Walter, M & Hewitt, B 2012, pg 83-91.) The sample involved all the major areas of interest of the study, and this was to ensure an ideal representation of the native population. The level of isolation was used to classify the children into different categories in order to analyses them effectively. This sampling reduced sampling error and also ensure a sufficient number was collected for data analyses.
Cohort study.
The data analyses and study was a retrospective cohort study. The sample was divided into two cohorts, one of the babies (B) and kids (K). B cohorts were between the ages of 6 and 18 months while the kids aged between 3.5 and 4.5 years. The study was conducted in two waves, but only the second wave was practically applied in data analyses because it had critical questions that related to the scope of the study. (Daugherty, R. 1974, pg. 81-93). The data was displayed in tables. The data was calculated to percentages against each hypothetical statement, and this was aimed at quantifying the data collected and analyzed into a more presentable manner.
Justification.
The use of cohort study was important to ensure the reliability of the study. This allows one to establish the population-based incidence and accurate risk ratio estimation. In this study, the magnitude of risk factors effects can be quantified. (Sapsford, R.& Jupp, V. 2006. Pg.76-80). Face to face data collection allows one to obtain firsthand information that can be relied on.
Reference list
Daugherty, R. (1974). Data collection. London: Oxford University Press
Dunn, K & Nelson, JK 2011, 'Challenging the Public Denial of Racism for a Deeper Multiculturalism', Journal of Intercultural Studies, vol. 32, no. 6, pp. 587-602.
Sapsford, R., & Jupp, V. (2006). Data collection and analysis. London: SAGE Publications in association with the Open University.
Walter, M & Hewitt, B 2012, 'Post-separation parenting and Indigenous families', Family Matters, no. 91, 2012, pp. 83-91, viewed 27 June 2013 http://search.informit.com.au.ezproxy.uws.edu.au/documentSummary;dn=030821490475939;res=IELHSS
