Chapter 4- Sampling Design

A complete enumeration of all items in the ‘population’ is known as a (a)   .

A (a)   is a definite plan for obtaining a sample from a given population. It refers to the technique or the procedure the researcher would adopt in selecting items for the sample.

The first step in developing any sample design is to clearly define the set of objects, is referred to as a _________

• Sample unit

• Type of Universe

• Size of Sample

• Parameters of interest

In this step, in determining the sample design, one must consider the question of the specific population parameters which are of interest.

• Budgetary constraints

• Type of Universe

• Parameters of interest

• Sampling procedure

Finally, the researcher must decide the type of sample to be used. as such a decision must be made about the technique to be used in selecting the items for the sample. In fact, this technique or procedure stands for the sample design itself.

• Budgetary constraints

• Type of Universe

• Parameters of interest

• Sampling procedure

Usually a systematic bias is the result of one or more of the following factors, EXCEPT:

• Indeterminancy principle

• Inappropriate sampling frame

• effective measuring device

• Natural bias in the reporting of data

All the following are characteristics of a good sample design EXCEPT:

• must be viable in the context of funds available for the research study

• result in a truly representative sample

• results in a small sampling error

• Must not allow for systematic bias to be controlled

The sampling procedure which does not afford any basis for estimating the probability that each item in the population has of being included in the sample.

• Non-probability sampling

• Probability sampling

Which of the following is an implication of random sampling ?

• gives each element in the population an equal probability of getting into the sample; and all choices are independent of one another

• gives specific sample combination an unequal probability of being chosen

• A and B

• None of the Above

In this complex random sampling design, an element of randomness is introduced into this kind of sampling by using random numbers to pick up the unit with which to start.

• Stratified sampling

• Systematic sampling

• Cluster Sampling

• Area Sampling