1279 Words6 Pages

1. INTRODUCTION

1.1 SAMPLING

Sampling in simple terms refers to the process in which a researcher chooses her sample for study.

Sampling refers to statistical methods of selection of any individual or relatively smaller number of the relatively larger population to study characteristics of the entire population is used to study characteristics and to draw statistically valid inference about the characteristics of the entire population.

The aim of sampling technique is to provide various types of statistical information of a qualitative nature about the whole by examining a few selected units.

The sampling method is the scientific purpose of selecting those sampling units which would provide the required estimate with associated uncertainty*…show more content…*

Economical: Sampling technique should be cheaper and less time taking.

2. Reliability: The conclusion of sample survey can have almost same every time is applied.

3. Continuous detail study: As the sample is small can be repeatedly studied and can be examined multiple times.

4. A conclusion derived from a study of certain unit can be verified from other units. By taking a random sample we determine the amount of deviation from normal.

Drawbacks of sampling techniques:

1. Less accuracy: Conclusion derived are more liable to error.

2. Changeability of unit: Limits are liable to change in the field of surveying.

3. Misleading conclusion: If care is not taken while sampling then conclusion derived from all will be misleading.

4. Lack of specialized knowledge: Sampling can be successful only when expert takes the sample.

5. Sampling not possible: When we need 100% accuracy and when material is of heterogeneous nature.

Steps in the sampling process:

There are following steps involved

Step 1. Define the population: Population of all items or people usually defined prior to sampling. The population is said to be completely defined if at least following terms are specified.

i. Element ii. Sampling unit iii. Extension of sampling unit*…show more content…*

Non probability sampling, are also aimed for exploratory research where aim is to find out if a problem or in quicker and cheaper way.

There are following types of non-random sampling

1. Convenience Sample: Convenience sample is a type of non random sampling, where the sample is selected considering the convenience of researchers. It is simply one where the units that are selected for inclusion in the sample is the easiest to access. Convenience sampling is very easy to carry out, relatively cost effective and less time consuming and it can help in gathering some useful information that may not be feasible to collect by probability sampling. Convenience sampling are sometimes biased. Convenience sampling should be treated with caution, its low cost and ease of use makes it the preferred choice for a significant number of researchers.

2. Judgmental Sampling: also known as purposive or biased sampling. In this sampling judgement of the researcher is used for selecting sample. The main aim of purposive sampling is to focus on particular characteristics of a population of interest, which will better enable you to answer your research

1.1 SAMPLING

Sampling in simple terms refers to the process in which a researcher chooses her sample for study.

Sampling refers to statistical methods of selection of any individual or relatively smaller number of the relatively larger population to study characteristics of the entire population is used to study characteristics and to draw statistically valid inference about the characteristics of the entire population.

The aim of sampling technique is to provide various types of statistical information of a qualitative nature about the whole by examining a few selected units.

The sampling method is the scientific purpose of selecting those sampling units which would provide the required estimate with associated uncertainty

Economical: Sampling technique should be cheaper and less time taking.

2. Reliability: The conclusion of sample survey can have almost same every time is applied.

3. Continuous detail study: As the sample is small can be repeatedly studied and can be examined multiple times.

4. A conclusion derived from a study of certain unit can be verified from other units. By taking a random sample we determine the amount of deviation from normal.

Drawbacks of sampling techniques:

1. Less accuracy: Conclusion derived are more liable to error.

2. Changeability of unit: Limits are liable to change in the field of surveying.

3. Misleading conclusion: If care is not taken while sampling then conclusion derived from all will be misleading.

4. Lack of specialized knowledge: Sampling can be successful only when expert takes the sample.

5. Sampling not possible: When we need 100% accuracy and when material is of heterogeneous nature.

Steps in the sampling process:

There are following steps involved

Step 1. Define the population: Population of all items or people usually defined prior to sampling. The population is said to be completely defined if at least following terms are specified.

i. Element ii. Sampling unit iii. Extension of sampling unit

Non probability sampling, are also aimed for exploratory research where aim is to find out if a problem or in quicker and cheaper way.

There are following types of non-random sampling

1. Convenience Sample: Convenience sample is a type of non random sampling, where the sample is selected considering the convenience of researchers. It is simply one where the units that are selected for inclusion in the sample is the easiest to access. Convenience sampling is very easy to carry out, relatively cost effective and less time consuming and it can help in gathering some useful information that may not be feasible to collect by probability sampling. Convenience sampling are sometimes biased. Convenience sampling should be treated with caution, its low cost and ease of use makes it the preferred choice for a significant number of researchers.

2. Judgmental Sampling: also known as purposive or biased sampling. In this sampling judgement of the researcher is used for selecting sample. The main aim of purposive sampling is to focus on particular characteristics of a population of interest, which will better enable you to answer your research

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