CHAPTER 10 Flashcards

1
Q

Different types of sample designs

A

the element selection technique, the representation basis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

the element selection technique enumeration (2)

A

restricted and unrestricted sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

When each sample element is drawn individually from the population at large, then the sample so drawn

A

unrestricted sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

other forms of sampling are covered under this.

A

Restricted Sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

is ‘non-random’ sampling.

A

non probability sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

is a sampling procedure which does not afford any basis for estimating the probability that each item in the population has been included in the sample.

A

non probability sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Non-probability sampling is also known by different names such as

A

deliberate sampling, purposive sampling, judgement sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

In this type of sampling, items for the sample are selected deliberately by the researcher; his choice concerning the items remains supreme.

A

non probability sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

is based on the concept of random selection.

A

Probability sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Probability sampling is also known as

A

‘random sampling’ or ‘chance sampling’.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Under this sampling design, every item of the universe has an equal chance of inclusion in the sample.

A

Probability sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

individual units are picked up from the whole group not deliberately but by some mechanical process

A

lottery method

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Random sampling ensures the -___________ which states that if on an average the sample chosen is a random one, the sample will have the same composition and characteristics as the universe.

A

law of Statistical Regularity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

is also an example of non-probability sampling. Under this the interviewers are simply given quotas to be filled from the different strata, with some restrictions on how they are to be filled. In other words, the actual selection of the items for the sample is left to the interviewer’s discretion.

A

quota sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

This type of sampling is very convenient and is relatively inexpensive. But the samples so selected certainly do not possess the characteristic of random samples.

A

quota sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

are essentially judgement samples and inferences drawn on their basis are not amenable to statistical treatment in a formal way.

A

Quota samples

17
Q

sample design is made up of two elements.

A

Random sampling from a finite population and Random sampling (or simple random sampling)

18
Q

refers to that method of sample selection which gives each possible sample combination an equal probability of being picked up and each item in the entire population to have an equal chance of being included in the sample. This applies to sampling without replacement i.e., once an item is selected for the sample, it cannot appear in the sample again

A

Random sampling from a finite population

19
Q

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

A

Random sampling (or simple random sampling)

20
Q

The features of good sampling are stated below:

A

Sample design must result in a truly representative sample.

Sample design must be such which results in a small sampling error.

Sample design must be viable in the context of funds available for the research study.

Sample design must be such so that systematic bias can be controlled in a better way.

Sample should be such that the results of the sample study can be applied, in general, for the universe with a reasonable level of confidence.

21
Q

Steps in Sampling Design in Research Methodology

A

type of universe, sampling unit, source of list, size of sample, parameters of interest, budgetary constraint, sampling procedure

22
Q

type of universe

A

finite and infinite universe

23
Q

The first step in developing any sample design is to clearly define the set of objects, technically called the _____, to be studied. The universe can be finite or infinite.

A

type of universe

24
Q

the number of items is certain

A

finite universe

25
the number of items is infinite
infinite universe
26
A decision has to be taken concerning a sampling unit before selecting a sample. _______ may be a geographical one such as state, district, village, etc., or a construction unit such as house, flat, etc., or it may be a social unit such as family, club, school, etc., or it may be an individual.
sampling unit
27
from which sample is to be drawn. It contains the names of all items of a universe (in case of a finite universe only). If the source list is not available, researchers have to prepare it. Such a list should be comprehensive, correct, reliable and appropriate. It is extremely important for the source list to be as representative of the population as possible.
source list
28
It contains the names of all items of a universe (in case of a finite universe only). If the source list is not available, researchers have to prepare it. Such a list should be comprehensive, correct, reliable and appropriate.
source list
29
This refers to the number of items to be selected from the universe to constitute a sample. This is a major problem for a researcher.
size of sample
30
should neither be excessively large, nor too small. It should be optimum.
size of sample
31
is one which fulfils the requirements of efficiency, representativeness, reliability and flexibility.
optimum sample
32
source list is also known as
sampling frame
33
In determining the sample design, one must consider the question of the specific population parameters which are of interest. For instance, we may be interested in estimating the proportion of persons with some characteristic in the population, or we may be interested in knowing some average or the other measure concerning the population.
parameters of interest
34
Cost considerations, from a practical point of view, have a major impact upon decisions relating to not only the size of the sample but also to the type of sample. This fact can even lead to the use of a non-probability sample.
budgetary contraint
35
Finally, the researcher must decide the type of sample he will use i.e., he must decide 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.
sampling procedure
36
An organized collection of computer hardware, software, data, and personnel designed to capture, store, update, manipulate, analyze, and immediately display information about worldwide business activity.
global information systems
37
is a tool for providing past, present, and projected information on internal operations and external activity. Using satellite communications, high-speed microcomputers, electronic data interchanges, fibre optics, data storage devices, and other technological advances in interactive media, global information systems are changing the nature of business
global information systems
38
source list must be
comprehensive correct reliable appropriate