Sampling Strategy and Sample Size for a Quantitative Research Plan

Sampling Strategy and Sample Size for a Quantitative Research Plan

Introduction

This paper discusses the strategy and the sampling technique that has been used while conducting the research on the “Intervention Program for Children of Incarceration & Children with Poor Parental Attachment”. This paper will discuss the quantitative research plan that has been used while conducting the research. Moreover, the impact of the sampling strategy and the sample size also discussed in this paper so that the reader can evaluate the reliability and quality of the research. The population and the sample size that has been used in the research is also highlighted in this paper (Auerhahn, 2001). The sample size and the reason that why that sampling in relation to the population size has been used in the research. This paper also evaluates the sampling and sample design.

Discussion

The objective of this research is to distinguish patterns and troubles which are arising because of parental imprisonment along with the intervention programs to prevent the children impacted by parental incarceration.

Population

The population for this research is the United States of America because the research is conducted on the Intervention Program for Children of Incarceration & Children with Poor Parental Attachment of United States of America. The population in which the researcher is interested in is what we call the target population (Baldus, 2004). The cases of the target population that are accessible to the researcher correspond to the population access. For these authors "the researchers draw a sample from a population affordable hoping to generalize to a target population. The sample is a carefully selected portion from the universe or population to be studied is directly related to the research problem and depends on many factors for your selection, such as, among others, selected variables, resource and other techniques of data collection for the selected project. To scale the size of sample that is representative, one should take into account also the margin of error allowed for the study population (finite or infinite) is being addressed (Wilson, 2011). The more homogeneous population, the lower the probability that the sample was biased, i.e., the common features are the subjects to be investigated; the smaller can be the size of the sample. Common sense and prior knowledge of the population is important to ensure that the sample is representative. For this purpose, it is suggested to clearly define which group or groups of individuals that is of interest to search and extract a random sample of each group (Bonczar, 2003). Care should be taken not to generalize when the sample data is small, for example, in studies multicasts. In these, the results are for the group studied, as to other realities, other regions of the country, the results do not apply.

Quantitative research is a research method that works with numeric indicators and following statistical criteria. This research is appropriate to measure opinions, attitudes and preferences, or to estimate the potential sales of a business and ...