Introduction

As a researcher, you have probably used a  variety of sampling methods to carry out surveys. As you know all sampling methods have their strengths and limitations. It is important to be aware of this fact. All the same, it is important to consider factors like the specific research scenario before you choose a sampling method.

Opportunity sampling is a method of sampling that involves the selection of participants based on their immediate availability and accessibility. It is mostly used because of its ease of administration.

In this article, we will explore the concept of opportunity sampling, its applications, pros, and limitations. We would also share tips that would help you mitigate any downside of this method.

At the end of this article, you will have a comprehensive grasp of the method of sampling, and understand its role in the research space and the life applications.

What is Opportunity Sampling?

Opportunity sampling just like the name implies is a method of research that selects respondents based on their accessibility and availability. The respondents in this sampling method are a part of the research simply because they are easy to reach. Convenience is the primary factor for consideration and the representativeness of the target audience is not necessarily a requirement for selection.

Opportunity sampling is different from other forms of sampling, like the random sampling method, which can be likened to a lottery where anyone and everyone has the probability of being selected. This method is usually adopted when you have already gathered your population of interest that way representative is a criterion before the random sampling selection is done.

Real-world examples of Opportunity Sampling

For example when retail outlets want to gather feedback from customers over a new product recently launched. Only customers who walk into the store are surveyed to get feedback based on their presence in the store or during the period of the survey.

Secondly, during online surveys, the links are shared on websites, social media channels, or QR codes. Often visitors to the sites are asked to participate in the survey simply because they visited the site extra effort is made to get respondents. This is a valid example of  “opportunity sampling.”

When and Why to Use Opportunity Sampling?

Opportunity sampling is ideal when you are pressed for time and have limited resources at your disposal to conduct a survey. It can be especially useful when access to a particular target population is difficult either to social, religious, or geographical factors.

However, while using this method, it is important to understand its limits and how it can lead to bias. This awareness would aid you in making smart calls when interpreting the results.

Advantages of using Opportunity Sampling

Here are some pros of using the opportunity sampling method in research.

Easy to Use: The opportunity sampling technique is hassle-free as it relies on individuals who are available and within reach.

Budget Friendly: The ease of recruiting respondents allows opportunity sampling to be very cost-friendly, as minimal resources are required to select participants. This makes it ideal for researchers on a budget.

Time-Saving: Since participants are chosen based on availability, it is quicker and data can be retrieved and analyzed in less time.

Benefits in specific research scenarios

Market Research: In carrying out market research on a new product, opportunity sampling can quickly provide insight into user’s perspectives as soon as they come around your sales channels/online or offline. 

Healthcare: In the healthcare sector opportunity sampling can provide data that can help patients with critical conditions by allowing quick testing and feedback of new treatments. 

Understanding the Procedure of Opportunity Sampling

Step-by-step guide on conducting Opportunity Sampling

When conducting opportunity sampling be sure to define the objective of your research. Clearly define your research question and outline the problem you are trying to solve. that is the first step.

Identifying the target population

Here you will define the target population best suited for your survey, by highlighting the characteristics or demographics you are looking out for. This would help you identify and know the target audience, you will be selecting to participate in your study. 

Selection criteria for participants or data points

When selecting participants for opportunity sampling, there are some standard key considerations.

Availability: The availability and accessibility of the respondents is key. This can be achieved by simply identifying the geo-location where the individuals who meet the established criteria outlined in Step 1 can be found or where they mostly converge, this could be a physical or online location.

Sampling Frame: Lastly create a sampling frame, which is a list of prospective respondents, who have met your defined criteria and are in the required location/easily accessible. This would serve as your bucket list from where you will make your final selection.

Gathering data and assessing sample representativeness

The first step in this phase is sample collection, which involves a systematic approach to data collection. For instance, if you are studying the buying patterns of customers in a mall, choose a particular period(time/Day) to gather data consistently. However, there is the option of introducing some form of randomness to help mitigate bias.

Assessing Sample Representativeness:

In this last step, you gauge the representativeness of the sample selected. This means evaluating the respondents you selected to be sure they match with the criteria which is a picture of your target audience. Secondly, an awareness of the possibility of bias in your sample is key, so you can also acknowledge this possibility when reporting the findings of your research.

Inherent Biases in Opportunity Sampling

• Selection Bias: This form of bias occurs because of the method of selecting candidates. Which could lead to the exclusion of certain groups simply because of their unavailability.
• Volunteer Bias: When respondents are willing to offer to participate in research there is no way to ensure sample representativeness because the criteria are willingness and availability. This may impact the overall result.

Non-representative samples and their impact on results

Due to the innate bias of opportunity sampling mentioned above, oftentimes the samples collected are non-representative of the target population. This implies that the results gathered limit the generalization of the study and may not reflect the true perspectives of the target population.

How to mitigate potential biases

Sampling Mix: Combining opportunity sampling with other sampling methods would fix the bias of sample representativeness, that way you can use opportunity sampling and get results that represent the view of the target population.

Use various sources to recruit respondents: Getting your samples from a broader stream gives you a stronger chance of getting individuals who are representative of your target audience.

Comparison of Opportunity Sampling with other sampling methods in terms of bias

• Systematic Sampling: Systematic sampling entails selecting candidates following a structured format that selects every nth person in the sampling frame, which minimizes the bias that occurs from opportunity sampling which selects solely based on availability. 
• Random Sampling: Random sampling involves giving every subset of a target population of being selected by giving everyone a chance of being selected. It is similar to casting a lot, so no bias is introduced in the selection process.
• Cluster Sampling: This involves selecting all the categories you want from members of the target population in small groups. Afterward, you then select from each of the groups to make up your sampling group.

The implication of this method when compared to opportunity sampling is that each of the clusters represents the target audience, which ensures s sampling representativeness even from the point of selection. The results from such sampling methods reflect the true perspective of the target audience.

Disadvantages of Opportunity Sampling

Opportunity sampling is a cost-effective, quick, and easy way of collecting data, however there are some clear disadvantages of this method, such as ;

The lack of representativeness in this sampling method may result in the validity of the result derived.

Sampling bias is one of the drawbacks as well because the respondents were only selected due to their easy accessibility and availability. This means that the individuals being surveyed cannot provide deep insight into the research question.

The volunteers who participate in the survey may not necessarily have the same characteristics or even meet the criteria you need. However because they opted to participate, they are involved, which leads to volunteer bias which may skew the results of the study.

So in cases where you have a population that can easily be divided into different subgroups, for instance, a school made up of different class levels, rather than opt for opportunity sampling. You can use cluster sampling to ensure sample representativeness.

In summary, the choice of your sampling method should be dependent on your specific research scenario.

Best Practices for Employing Opportunity Sampling

Ensuring data reliability and validity

This can be achieved by carrying out validation checks to confirm if the results you collected are representative. This can be done by employing other sampling methods or an external researcher to confirm your results.

Sample size considerations

Here you can broaden the sample size. A wider sampling size can help you get more meaningful insights, as the source of your information is wider, so you can easily compare the results against a wide sample size to get more reliable results.

Handling outliers and anomalies

In the event of anomalies, once you identify them, you can evaluate the impact on the results from your research. If they depict data points that validate the reliability of your data, you can keep them. Otherwise, you can either remove them or report them.

Combining with other sampling methods for robust results

As discussed earlier, you can combine opportunity sampling with other methods, to enhance data reliability and richer results.

Case Studies: Successful Research with Opportunity Sampling

A valid example of Opportunity sampling can be seen in polls before or after an election. Researchers either share links online to get feedback or visit the streets to speak to the next available person on their perspectives of the recently conducted elections. 

In cases like this, no prior thought is given to collect a sample frame based on certain characteristics. However, due to the large sample size usually adopted in this approach, the results gathered give some insights into the pulse of the target population in this case.

Ethical Considerations in Opportunity Sampling

Respecting participant consent and privacy

Getting the consent of respondents involves explaining in detail the essence of the research and its implications, so they understand clearly what they are getting into. There should be no undue pressure or any form of coercion. Researchers must always process the data based on true anonymity and ensure the data collected is only used for the agreed and stated purpose.

Potential risks to vulnerable populations

Vulnerable populations refer to children, the elderly, or anyone with any form of physical or cognitive challenge. Special attention must be paid to such groups and ensure that they involve appropriate bodies for consent before involving them in any study.

Importance of ethical review and oversight

Relevance bodies in charge of ethical reviews should be duly informed so they can evaluate your process before administering the survey. Getting their approval and following all their guidelines is essential to prevent any legal backlash.

Conclusion

Opportunity sampling is a simple and easy-to-apply methodology in carrying out research. It is ideal if you are looking to get prior information about a population, before embarking on full-blown research. Although there are some limitations with this method, combining it with other methods of research can help mitigate the effects of any cons on the final result. If you are looking to carry a research using opportunity sampling, Formplus has a wide variety of tools and easy-to-use features to help you get started. Formplus facilitates survey development, seamless distribution, editable templates, data analysis, and lots more. Contact Formplus, if you need help with your opportunity sampling process.