Approaches to sampling commonly used in qualitative research design are given in Set - I and their characteristics in Set - II . Match Set - I and Set - II and select the appropriate code. Set-I (Approaches to sampling in qualitative research) Set-II (Characteristics) (a) Extreme case sampling (i) Seeks cases that are typical (ii) Seeks cases that are highly similar to each other (b) Purposive sampling (iii) Seeks cases that are unusual (iv) Seeks help from participants to identify additional participants (c) Snowball sampling (v) Seeks cases according to his/her judgment about the appropriateness
(a) - (iii), (b) - (v), (c) - (iv)
Qualitative research often uses non-probability sampling methods to select participants who can provide in-depth insights into the research topic. These methods are chosen strategically, not randomly, to serve the specific goals of the study. Let's examine the characteristics of some common approaches listed in the question.
The question asks us to match three qualitative sampling approaches from Set-I with their descriptions or characteristics from Set-II.
Extreme case sampling, also known as deviant case sampling, focuses on selecting participants who are outliers or represent the extremes of a phenomenon. Studying these unusual cases can provide valuable insights into the conditions or factors that contribute to success or failure, or illuminate unique perspectives not found in typical cases.
Comparing this with Set-II characteristics:
Therefore, (a) Extreme case sampling matches with (iii) Seeks cases that are unusual.
Purposive sampling, or judgmental sampling, relies on the researcher's expertise and judgment to select participants who are believed to be knowledgeable or represent a specific population or phenomenon of interest. The researcher intentionally selects individuals based on certain criteria relevant to the research question.
Comparing this with Set-II characteristics:
Therefore, (b) Purposive sampling matches with (v) Seeks cases according to his/her judgment about the appropriateness.
Snowball sampling is a technique where initial participants are asked to identify and recruit other potential participants who meet the research criteria. This method is particularly useful when studying hard-to-reach populations or those with specific, often hidden, characteristics or connections.
Comparing this with Set-II characteristics:
Therefore, (c) Snowball sampling matches with (iv) Seeks help from participants to identify additional participants.
Based on the analysis:
| Set-I (Sampling Approach) | Set-II (Characteristic) | Match |
|---|---|---|
| (a) Extreme case sampling | (iii) Seeks cases that are unusual | (a) - (iii) |
| (b) Purposive sampling | (v) Seeks cases according to his/her judgment about the appropriateness | (b) - (v) |
| (c) Snowball sampling | (iv) Seeks help from participants to identify additional participants | (c) - (iv) |
The correct matching is (a) - (iii), (b) - (v), and (c) - (iv).
| Method | Key Feature | When to Use |
|---|---|---|
| Extreme Case | Focuses on unusual or outlier cases. | To understand factors at the extremes. |
| Purposive (Judgmental) | Researcher selects based on judgment and criteria. | When specific knowledge or characteristics are needed. |
| Snowball | Participants recruit other participants. | When studying hard-to-reach or interconnected populations. |
| Typical Case | Focuses on average or normal cases. | To illustrate a typical phenomenon. |
| Homogeneous | Focuses on cases that are very similar. | To study a specific subgroup in depth. |
Qualitative sampling methods are non-probability sampling techniques. This means that unlike probability sampling (like simple random sampling), not everyone in the population has an equal chance of being selected. Instead, the selection is deliberate and strategic, aiming to gather rich, detailed information from a specific group of participants who can best inform the research questions.
The choice of qualitative sampling method depends heavily on the research objectives, the nature of the population, and the resources available. Researchers often use a combination of these methods or vary their approach as the study progresses.
Other types of purposive sampling include maximum variation sampling (seeking diverse perspectives), criterion sampling (selecting cases that meet a certain criterion), and critical case sampling (selecting cases that are particularly important or revealing).
Match List I with List-II: List I gives sampling methods while List II provides their description.
List I | List II |
(Sampling method) | (Description) |
(A) Stratified sampling | (I) The units/members are chosen to represent various areas of characteristics so defined |
(B) Cluster sampling | (II) Every unit had an independent and equal chance of being picked up |
(C) Systematic sampling | (III) The units are groups and are chosen intact |
(D) Dimensional sampling | (IV) The members are selected using the interval obtained by N/n – the N = Aggregate, n = desired sub-aggregate |
Identify the probability sampling procedures from the following:
A. Quota sampling
B. Stratified sampling
C. Dimensional sampling
D. Cluster sampling
E. Systematic sampling
Choose the correct answer from the option given below:
If a sample survey of the same 100 households is conducted in a particular village, annually for five years, the data so collected will be described as :
In the process of drawing a random sampling which of the following process is in order of sequence?
An investigator wants to conduct a study on politically active student-leaders in educational institutions. Which of the following methods of sampling would be most appropriate?