You need to undertake a facetoface interview survey of manag

You need to undertake a face-to-face interview survey of managing directors of small medium-sized organizations in your country. From the data you collect you need to able to generalize about the attitude of such managing directors to recent changes in policy towards these firms. Your generalizations need to be accurate to within plus or minus 5 per cent. And you know there are at least 100,000 managing directors of small to medium-sized organizations from which to select your sample. have limited resources to pay for interviewers, travelling and other associated costs.

a. List and explain the various types of probability and non-probability sampling techniques?

b. Which technique would you choose for this research? Why?

Solution

a) Classification of Probability sampling techniques:

Simple Random Sample

In simple random sampling other types can be sampled as well. Also, it is pretty simple in terms of computations. Sampling frame developed in this kind of random sampling is quite accurate as compared to other sampling techniques. In this method, it selects elements from sampling frame according to mathematically random procedure, then readjusts the exact elements which were selected for inclusion in the sample

Systematic Random Sample

Systematic random sampling is simple random sampling but it has a shortcut to select the sample. First step in this method is same as was in previous method. But instead of using a list of random numbers, researcher calculates an interval and the interval becomes his or her own quasi random selection method. The sampling interval denotes the researcher how to select elements from a sampling frame by skipping elements in the frame before one for the sample

Cluster Sampling

Cluster sampling is a bit different than the previous methods. It involves sampling economically and continue to keep the characteristics of the probability sample.

Lots of elements that would have heterogeneity betwixt the members within each group are selected for study in cluster sampling. This is in contrast to choosing some elements from the population as in simple random sampling, as in choosing every periodic element in the population every once in a while . When several groups with intragroup heterogeneity and intergroup homogeneity are located, then a random sampling of the lot can be done without any hindance and information collected from all the members in the randomly chosen lot.

Double Sampling

This plan is adopted when addition piece of information is required from a subset of any group where from some information has already been collected for the same study. A sampling design where initially a sample is used in any study to gather some elementary information of interest is called double sampling

Non Probability Samping Techniques:

Convenience Sampling

Respondents are simply those which can be reached when required by fellow employees, people situated on the street, customers from some email portal as well as online penalists.

Snowball Sampling

Snowball sampling method demands the respondents to suggest other respondents who might be called up for surveying. This method is helpful when audience are located somewhere far away. For example AIDS sufferers or others with rare diseases.

Self-Selection Sampling

In this sampling type the respondent takes a call on whether or not to participate, ultimately in one request without having the chance to follow up. Most of the times, psychological experiments fall under self-selection sampling,

Purposive Sampling

The designer attempts to choose the sampled units which meet the specific purpose of the survey

b) For this particular question, since the sample size is medium and resources are limiteed, therefore, double sampling technique would be appropriate to use.