A) Probability and non-probability sampling are two types of sampling methods used in research.

1. Probability Sampling: This is a sampling technique where every member of the population has an equal chance of being selected. Two types of probability sampling are:

a. Simple Random Sampling: In this method, every individual is chosen entirely by chance and each member of the population has an equal chance of being included in the sample.

b. Stratified Random Sampling: In this method, the population is divided into different subgroups or 'strata', and random samples are taken from each stratum.

2. Non-Probability Sampling: This is a sampling technique where some members of the population have a greater chance of being selected than others. Two types of non-probability sampling are:

a. Convenience Sampling: In this method, the individuals who are conveniently available are selected for the study.

b. Quota Sampling: In this method, the researcher ensures equal or proportionate representation of subjects depending on their number in the population.

B) The choice of data collection method depends on the nature of the study.

a. Simple Random Sampling is appropriate when the population is homogeneous and the researcher has access to the entire population.

b. Stratified Random Sampling is appropriate when the population is heterogeneous and can be distinctly divided into different subgroups.

c. Convenience Sampling is appropriate when the researcher has limited time or resources, and the research does not require a high level of generalizability.

d. Quota Sampling is appropriate when the researcher wants to ensure representation from all subgroups of the population.

C) Each method has its own difficulties.

a. Simple Random Sampling requires a complete list of all members of the population which is often difficult to obtain.

b. Stratified Random Sampling can be time-consuming and costly as it requires identification and organization of the population into different strata.

c. Convenience Sampling may lead to bias as it does not represent the entire population.

d. Quota Sampling can also lead to bias as the selection of subjects may be influenced by the researcher's personal judgment.

Question

A) Probability and non-probability sampling are two types of sampling methods used in research.

1. Probability Sampling: This is a sampling technique where every member of the population has an equal chance of being selected. Two types of probability sampling are:

a. Simple Random Sampling: In this method, every individual is chosen entirely by chance and each member of the population has an equal chance of being included in the sample.

b. Stratified Random Sampling: In this method, the population is divided into different subgroups or 'strata', and random samples are taken from each stratum.

2. Non-Probability Sampling: This is a sampling technique where some members of the population have a greater chance of being selected than others. Two types of non-probability sampling are:

a. Convenience Sampling: In this method, the individuals who are conveniently available are selected for the study.

b. Quota Sampling: In this method, the researcher ensures equal or proportionate representation of subjects depending on their number in the population.

B) The choice of data collection method depends on the nature of the study.

a. Simple Random Sampling is appropriate when the population is homogeneous and the researcher has access to the entire population.

b. Stratified Random Sampling is appropriate when the population is heterogeneous and can be distinctly divided into different subgroups.

c. Convenience Sampling is appropriate when the researcher has limited time or resources, and the research does not require a high level of generalizability.

d. Quota Sampling is appropriate when the researcher wants to ensure representation from all subgroups of the population.

C) Each method has its own difficulties.

a. Simple Random Sampling requires a complete list of all members of the population which is often difficult to obtain.

b. Stratified Random Sampling can be time-consuming and costly as it requires identification and organization of the population into different strata.

c. Convenience Sampling may lead to bias as it does not represent the entire population.

d. Quota Sampling can also lead to bias as the selection of subjects may be influenced by the researcher's personal judgment.

Knowee AI · Accepted Answer