Researchers use purposive sampling to sample the participants of a study. It provides data from information-rich sources most suitable for study. It is a quick and efficient sampling technique. This sampling technique comprises some techniques. This article will explore the types and techniques of purposive sampling in research.

Understanding Purposive Sampling and Its Importance in a Research

Purposive sampling is a type of non-probability sampling technique. It refers to selecting participants with a purpose in a study. The purpose derives from the topic of the study. It may also be due to satisfying certain characteristics essential for the research. The researcher selects a sample with the help of its judgment abilities. So, the researcher selects a sample with its discretion of appropriateness. Its use is common in quantitative and qualitative methods. Researchers more often use this sampling technique in selecting participants. It provides an efficient sampling of the participants. It is suitable when researchers do not concern about the proportionality of samples. The other names of purposive sampling are as follows;

• Judgmental Sampling Technique.
• Subjective Sampling Technique.
• Selective Sampling Technique.

How to Make Samples in Purposive Sampling?

Making suitable samples for a study is easy in purposive sampling. The researcher can select the best-fit participants for the study with their knowledge. Following is the guideline to make samples in purposive sampling;

• Identify the irrelevant population of the study.
• Select the most relevant participants keeping in view the topic of the study.
• Identify chosen participants who are meeting the characteristics essential for research.
• Judge the appropriateness of the participants.
• Narrow down the best-fit sample for the study.
• The best-fit sample is ready to take part in the study.

What Are the Types and Techniques of Purposive Sampling?

Discussing with researchers of dissertation writing services, they told me that there are seven types and techniques of purposive sampling in research. They are as follows;

Homogeneous Purposive Sampling

In this purposive sampling technique, each participant exhibits shared characteristics. These shared characteristics are homogenous in nature. These homogeneous characteristics may be age or gender. It may be qualification or nationality. They are essential for the research. For instance, researchers are willing to know about women’s harassment in the workplace. They will get data only from working females. This is a homogenous sample created on the basis of gender.

Maximum Variation Sampling

As the name implies, it carries diverse cases. These diverse cases are essential for conducting a research study. It is also known as the heterogeneous technique of purposive sampling. The underlying aim of this technique is to provide a diverse range of cases. They assist in collecting deep insights on the topic of the study. For instance, in a street murder case, the researcher will collect as much data as possible. The aim is to present a final statement on the basis of much evidence. This is an example of the heterogeneous technique of purposive sampling.

Typical Case Sampling

In this technique, the research samples data from a “typical” group of the population. This typical sample is representative of the vulnerable population group. They are, in fact, affect the most. For instance, data collection from acid-attack victims in a study. The researcher’s focus on “acid victims” is a typical case.

Deviant Case Sampling

The researcher samples participant that diverges from the norm. They do so in understanding an issue or a trend. It is also known as expert case sampling. For instance, if a researcher wants to know the association between homework habits and high achievers in academia. The researcher will purposively sample high academic achievers in the course.

Critical Case Sampling

In this technique, the researcher chooses one case as the basis of the study. The case may be usual or specific. The aim is to get a robust understanding of the topic under a case. Its understanding act as a lesson for current and future studies. It reflects the purest form of insight into the phenomenon under study.

Total population Sampling

The researcher selects an entire population group. This group exhibits shared characteristics. These shared characteristics may be one or more. It generates reviews of particular events or happenings. These reviews are easy to get within a large population set.

Expert Sampling

Researcher samples participants who have a wealth of expertise. Its use is common in the early process of a research study. The researcher gets information to get a deep understanding of the topic. This information assists the researcher well before embarking on the final process. They are helpful to the researcher in shaping the research objectives of the study. Moreover, they lay down the hypotheses as well.

What Are The Benefits Of Using Purposive Sampling in Research?

There are some benefits of using purposive sampling in a research study. They are as follows;

• It is a cost-effective sampling technique.
• It saves time for the researcher by eliminating irrelevant populations for a study.
• It provides context-specific information.
• It allows the researcher to narrow down suitable participants with its judgment.
• There is less chance of error due to most appropriateness of the participants in the study.
• It provides greater room to generalise the findings of the study.

What Are The Disadvantages of Purposive Sampling in Research?

The purposive sampling technique has some disadvantages in research. These disadvantages are as follows;

• The participants can provide misleading information. It may lead to invalid findings.
• The analysis becomes difficult due to misleading findings.
• It may be subject to the researcher’s biases in making samples.
• The sampling technique may lead to biasness as well.
• It is not effective for gathering data from large population groups.

Final Thoughts

Purposive sampling assists researchers to select samples on the basis of their judgment. These samples have essential characteristics suitable for the study. It saves time and cost for the researcher in data collection. The researcher can apply its techniques in sampling participants for the study. Yet, it involves bias and error of the researcher. Still, researchers use purposive sampling in quantitative and qualitative research methods.

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Global Autonomous Trucks Market research report 2022 offers in-depth assessment of revenue growth, market definition, segmentation, industry potential, influential trends for understanding the future outlook and current prospects for the market.

This study provides information about the sales and revenue during the historic and forecasted period of (2021 to 2028). Understanding the segments helps in identifying the importance of different factors that aid market growth. Estimations about the CAGR value for specific forecast period, market drivers, market restraints, and competitive strategies are assessed in this Autonomous Trucks Market report.

The size of the global autonomous truck market was $ 1,074.70 million in 2019 and is expected to reach $ 2,013.34 million by 2027, with a 12.6% CAGR over the forecast period.

Important Features that are under Offering and Key Highlights of the Market Report:

• Detailed overview of the global market share
• Changing market dynamics of the industry
• In-depth market segmentation by Type, Application, etc.
• Historical, current and projected market size in terms of volume and value
• Recent industry trends and developments
• Competitive landscape of Autonomous Trucks Market
• Strategies of key players and product offerings
• Potential and niche segments/regions exhibiting promising market growth

Drivers & Restraints

The adoption of advanced driver assistance technologies (ADAS) has significantly improved safety on highways, according to a study conducted by the Federal Motor Carrier Safety Administration in collaboration with trucking industry leaders. An example includes J.B. Hunt, a leading for-hire carrier in the US, which has equipped 98% of its vehicles with a forward-collision warning system and lane departure warning along with dash cameras on 84% of its class 8 trucks. The implementation of such technologies has enabled a 50% reduction in rear-end crashes and an increase in asset uptime and driver retention.

Key players covered in the global Autonomous Trucks Market research report:

• TuSimple, Inc. (San Diego, US)
• Waymo LLC (Mountain View, US)
• Embark Trucks (San Francisco, US)
• Tesla (California, US)
• Caterpillar (Illinois, US)
• AB Volvo (Gothenburg, Sweden)
• Daimler AG (Stuttgart, Germany)
• Continental AG (Hanover, Germany)
• Robert Bosch GmbH (Stuttgart, Germany)
• NVIDIA Corporation (Santa Clara, US)
• Aptiv (Dublin, Ireland)

An Overview of the Impact of COVID-19 on this Market:

The emergence of COVID-19 has brought the world to a standstill. We understand that this health crisis has brought an unprecedented impact on businesses across industries. However, this too shall pass. Rising support from governments and several companies can help in the fight against this highly contagious disease. There are some industries that are struggling and some are thriving. Overall, almost every sector is anticipated to be impacted by the pandemic.

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Major Table of Contents for Autonomous Trucks Market Research Report:

• Introduction
• Executive Summary
• Market Dynamics
• Key Market Growth Insights
• Global Market Analysis, Insights and Forecast, 2017-2028
• North America Market Analysis, Insights and Forecast, 2017-2028
• Europe Market Analysis, Insights and Forecast, 2017-2028
• Asia Pacific Market Analysis, Insights and Forecast, 2017-2028
• The Middle East and Africa Market Analysis, Insights and Forecast, 2017-2028
• Latin America Market Analysis, Insights and Forecast, 2017-2028
• Competitive Landscape
• Global Autonomous Trucks Market Revenue Growth, Industry Share Analysis, By Key Players, 2021
• Company Profiles
• Conclusion

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