Sampling Components

Definition and Role of Each Probability Sampling Component

Element

In probability sampling, an element can best be described as a unit to which the investigator is mainly interested in information gathering with its reference (Khan, 2011). The element plays a primary role in research which is to offer a ground for the gathering and analysis of the acquired information.  The elements usually offer information that is relevant to a given populace (Khan, 2011).

Population

In research a population can best be described as a set of persons or items that are associated with the needed characteristics that the investigator is objected at examining, examining as well as comprehending (Khan, 2011). In other words, it is a major set of all the involved subjects in which the investigator is interested to explore. A population in this context is a comprehensive combination of components that are utilized in an investigative study. Also, it can be described as a group of elements with equal characteristics. The provision of items set from which sample populace can be chosen is the major role that is placed by a research population (Khan, 2011).

Study Population

A research population can best be defined as a set of individuals of study subjects. The research population is of much significance given that it determines the outcome of the study (Khan, 2011). In other words, the study populace is a group of identical elements that the investigator decides on examining based on their importance to the study subject. The main role of the research populace is to offer the investigator with accurate and dependable responses to help solve the presented issue (Khan, 2011). The study populace should possess comparable features in relation to the study subject.

Random Selection

In research, random selection is the general procedure of selecting the research subject. The objective of the selection is to ensure that all the populace’s members are given equal opportunities to participate as respondents (Bachman & Schutt, 2017). The techniques permit unsystematic and non-judgmental selection. The role played by this approach is to eliminate biases while increasing accuracy as well as the reliability of the study. The method increases the general opportunities for more enhanced representation of the population and eradicating discrimination (Bachman & Schutt, 2017).

Sampling Unit

A study sample unit is a sole element that is selected from the targeted populace for evaluation. In other words, this is a set of elements that are utilized in making the wider selection of the study populace (Bachman & Schutt, 2017). The major role is to create a ground through which the investigator can select the populace in general (Dattalo, 2010).

Statistic

This refers to a summarized description of a given variable within a sampled populace. The primary responsibility is to make measurements in regard to certain features as well as characteristics of the selected populace (Bachman & Schutt, 2017).

Parameter

In research, a parameter is a descriptive analysis that is offered from a certain populace. The parameter is mainly utilized as a variables aspect for the whole populace (Dattalo, 2010).

The Pros of Probability over Non-probability Sampling Technique

Probability sampling is described as the sampling approach where the elements within a populace hold equal participation opportunities (Dattalo, 2010). The primary benefit of probability sampling revolves on that it offers equality and impartiality in its selection which tend to eliminate any instances of prejudices while accuracy and dependability of the study are enhanced. In that, the approach encourages truthfulness (Dattalo, 2010). In addition unlike non-probability, the selected sample is represented adequately given that all the targeted subjected are involved in the sampling procedure. More so, probability sampling, in general, is characterized by high convenience given that the completion necessitates a high populace. This helps in information maximization and the investigator has more ideas to support the developed hypothesis (Dattalo, 2010). Further, the technique is effective in lowering biases of the investigator which contributes to dependability. Lastly, the technique is characterized by application ease due to the simplified procedure of selection and enclosure (Dattalo, 2010).

 

 

 

 

 

 

References

Bachman, R., & Schutt, R. K. (2017). The Practice of Research in Criminology and Criminal Justice (6th Ed.). Thousand Oaks, CA: Sage.

Dattalo, P. (2010). Ethical dilemmas in sampling. Journal of Social Work Values& Ethics, 7(1), 1–12.

Khan, J. A. (2011). Research methodology. New Delhi: APH Publishing Corporation. APH Publishing Corportaion.