8/8/2019 11567_descriptive research type

1/2

Descriptive Research is conducted because of following reasons:

1. To describe the characteristics of relevant groups, such as consumers,

salespersons, students or market areas. For example, we could develop a

profile of frequent shoppers of various stores like Vishal mega mart, easy

day etc.

2. To estimate the percentage of units in a specified population exhibiting a

certain behaviour. For example, we might be interested in estimating the

percentage of frequent shoppers of these retail stores who also patronize

retail stores.

3. To determine the perception of product characteristics. For example, how

do households perceive the various departmental stores in terms of salient

factors of the choice criteria?

4. To determine the degree to which various variables are associated. Forexample, to what extent is shopping at departmental stores related to

eating out?

5. To make specific predictions. For example, what will be the retail sales of

easy day (specific store) for retail clothing (specific product category) in

the Amritsar (specific area).

Types of descriptive research:

1. Cross sectional design: It involve the collection of information from any

given sample of population element only once. They may be either

single or multiple cross sectional.

i) Single cross sectional: In single cross sectional designs only one

sample of respondents is drawn from the target population, and

information is obtained from this sample only.

ii) Multiple cross sectional: There are two or more samples of

respondents and information from each sample is obtained only

once. Often, information from different samples is obtained atdifferent times over long intervals. Multiple cross sectional

allows comparison at the aggregate level but not at the

individual respondent level. Because a different sample is taken

each time a survey is conducted, there is no way to compare the

measures on individual respondents across surveys.

One type of multiple cross sectional design of special interest

is cohort analysis.

Cohort Analysis: Cohort Analysis consists of a series of surveys

conducted at appropriate time intervals, where cohort serves as thebasic unit of analysis. A cohort is a group of respondents who

8/8/2019 11567_descriptive research type

2/2

experience the same event within the same time interval. For example,

a birth (or age) cohort is a group of people who were born during the

same time interval, such as 1985 through 1990.

A soft company selected age cohort of people between 8 and 19 years

old and examined their soft drink consumption every 10 years for 30years. In other words, every 10 years a different sample of respondents

was drawn from the population of those who were then between 8 and

19 years old. Obviously, people who were selected once were unlikely

to be included again in the same age cohort, as people would be much

older at the time of subsequent sampling.

2. Longitudinal design: In longitudinal design, a fixed sample of

population elements is measured repeatedly on the same variable. A

longitudinal design differs from the cross sectional designs in that the

sample or samples remain the same over time. In other words, the

same people are studied over time and same variables are measured.

In contrast to the typical cross sectional design, which gives a snapshot

of the variables of interest at a single point in time, a longitudinal study

provides a series of pictures that give an in depth view of the situation

the changes that took place over time.