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multipurpose tree species research for small farms: strategies ... - part

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Descriptive Research Process<br />

The <strong>research</strong> process isa sequence of iterative<br />

steps. Five steps used in market <strong>research</strong> are<br />

deiring the problem in precise terms; determining<br />

the design; collecting datdataata analysis and<br />

interpretation; and <strong>research</strong> report writing<br />

(Churchill 1979).<br />

Problem Formulation<br />

The <strong>research</strong> process can only be properly<br />

designed when the problem is clearly defined and<br />

the objective of the study has been precisely<br />

determined. One of the most difficult tasks facing<br />

the <strong>research</strong>er in defining problems is<br />

understanding the consumer's decision-making<br />

process as well as the factors that influence those<br />

decisions.<br />

it is important to note that a general statement<br />

about the problem is not sufficient. The product<br />

should be defined by hierarchies such as product<br />

variant, brand, type, and product line. The<br />

geographic scale of the study should be defined in<br />

terms of level, whether at the national, regional,<br />

sub-regional, or village level. A time frame should<br />

indicate whether it is short, medium, or long range.<br />

In<strong>for</strong>mation about the conjumers should indicate<br />

whether the products are consumed at the<br />

hausehold, industry, governmeat, wholesale, retail,<br />

or international levels.<br />

The objective of the study is also defined at this<br />

stage. This determines the subsequent design of<br />

the questionnaire.<br />

Research Design<br />

The <strong>research</strong> design stage prepares a<br />

framework to guide the data collection and<br />

analysis. The descriptive <strong>research</strong> method<br />

presupposes prior knowledge about the subject<br />

under study and is designed to test specific<br />

hypotheses.<br />

Two types of studies are possible under this<br />

method -- longitudinal and cross-sectional. The<br />

cross-sectional design is the most common and<br />

familiar. It involves a representative sample of the<br />

population. Several characteristics of the sample<br />

are measured once. Longitudinal design includes a<br />

series of sample elements such as industries, stores,<br />

dealers, individuals, households, government<br />

institutions, or other entities.<br />

The cross-sectional study provides a snapshot<br />

of the variable under study at a <strong>part</strong>icular point in<br />

39<br />

time. In contrast, the longitudinal design<br />

demonstrates change over time.<br />

Field studies and surveys are two tools used<br />

in cross-sectional studies. A survey attempts to<br />

represent a known universe, both in terms of the<br />

number of cases and in their selection. The<br />

field study is less concerned about generating<br />

large representative samples and deals with the<br />

in-depth study of a few typical cases. The<br />

emphasis in the field study is on the<br />

interrelationship of several factors.<br />

Market segmentation is important to consider<br />

in designing <strong>research</strong> on MPTS products.<br />

There are two types of consumers in the market:<br />

ultimate end users, and industrial users.<br />

Ultimate end users buy products to satisfy their<br />

needs. Industrial users buy products as raw<br />

materials or <strong>for</strong> processing in the manufacture<br />

of other products.<br />

This market segmentation affects advertising<br />

and distribution. The two groups purchase<br />

products in different ways relative to quantity,<br />

quality, size, distribution, price, and<br />

specifications. Ultimate consumers can be<br />

differentiated further by demographic<br />

characteristics that can include region, rural vs.<br />

urban areas, age, gender, education, occupation,<br />

and levels of disposable income. Industrial<br />

users can be divided into manufacturing,<br />

transportation, trade, and government sectors.<br />

Data Collection<br />

Secondary Datat<br />

Once the <strong>research</strong> problem has been defined,<br />

the next step isto collect the data. The first<br />

attempt should focus on secondary data.<br />

Advantages of using secondary data include<br />

improving the problem definition, as a source of<br />

ideas to improve the problem solving process,<br />

and serving as a source of comparative data to<br />

better interpret the primary data. A<br />

disadvantage is that because the data was<br />

collected <strong>for</strong> other reasons, the results may not<br />

serve the purposes of the new <strong>research</strong> problem<br />

as defined.<br />

Secondary data on MPTS products and<br />

sales can be classified by source -- internal and<br />

external. Internal data is found within the<br />

organization where the <strong>research</strong> is being<br />

undertaken, while external data is obtained<br />

from outside sources.

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