multipurpose tree species research for small farms: strategies ... - part
multipurpose tree species research for small farms: strategies ... - part
multipurpose tree species research for small farms: strategies ... - part
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Important external data sources <strong>for</strong> MPTS<br />
products include publications of annual statistics<br />
by region, and censuses of agriculture,<br />
manufacturers, population, etc. Internal data can<br />
be obtained from MPTS <strong>research</strong> reports, MPTS<br />
seminar proceedings, proceedings of a ro<strong>for</strong>estry<br />
seminars, and regional agriculture and <strong>for</strong>est<br />
service reports and statistics.<br />
Primary Data<br />
Primary data is generated by the <strong>research</strong>er to<br />
answer the questions posed by a specific problem.<br />
One type of data collected is demographic and<br />
socioeconomic which includes in<strong>for</strong>mation on age,<br />
education, occupation, marital status, gender,<br />
income, or social class,<br />
Another type of primary data is the attitude or<br />
opinion of the respondent to a certain product.<br />
Attitude is claimed to be the <strong>for</strong>erunner of<br />
behavior. Attitudes and opinions are used<br />
interchangeably in market <strong>research</strong> (Myers and<br />
Reynolds 1967).<br />
Awareness or knowledge of products is also of<br />
great interest. Primary data related to awareness<br />
include general knowledge about the product,<br />
where it can be purchased, product price, who<br />
produces the product, how it is used and <strong>for</strong> what<br />
purposes, and its specific distinctive features.<br />
Motivation is important in market <strong>research</strong>. It<br />
refers to a .ced, drive, wish, desire, or impulse that<br />
energizes, activates, moves, directs, or channels<br />
behavior toward goals. Typically, behavior in<br />
marketing refers to purchasing.<br />
There are several means <strong>for</strong> collectin primary<br />
data. The most common are communication and<br />
observation. Communication involves questioning<br />
respondents through the use of questionnaires.<br />
The question may be either verbal or written, and<br />
the answer may be given in either <strong>for</strong>m.<br />
Questionnaires<br />
Questionnaire design can include such types as<br />
structurcd-undisguiscd, unstructured,<br />
structurcd-disguscd, and questionnaires classified<br />
by method of data collection.<br />
The questions on the structured-undisguised<br />
questiennaires as well as the answers are<br />
siandardized. Few alternatives are used. The<br />
following example considers the subject's attitude<br />
toward MPTS product consumption, "How<br />
important is fuelwood to you?"<br />
40<br />
- very important<br />
- important<br />
- not important<br />
- no opinion<br />
The advantages of this type of questionnaire<br />
are the simplicity of its delivery and its facility in<br />
tabulation and analysis of the data. This method<br />
is most productive when the possible replies are<br />
well known, limited in number, and clear cut.<br />
Unstructured questionnaires are often<br />
considered the cornerstone of motivational<br />
<strong>research</strong>. The basic assumption is that the<br />
individual's thoughts and behavior are relatively<br />
unstructured. Examples of this method are<br />
word association, sentence completion, and<br />
storytelling.<br />
Structured-disguised questionnaires were<br />
developed in an attempt to revea! subconscious<br />
motives and attitudes while maintaining the<br />
advantages in coding and tabulation common to<br />
the structured approach. This is the least used<br />
in market <strong>research</strong>.<br />
Questionnaire Design<br />
Designing questionnaires is a skill and not a<br />
science. The following seven steps are<br />
presented as a guide or checklist <strong>for</strong> reference<br />
(Churchill 1979):<br />
- determine in<strong>for</strong>mation needs;<br />
- determine the appropriate type of<br />
questionnaire andmethod o administration;<br />
- determine the individual questions;<br />
- determine the type of response to each<br />
question;<br />
- determine the number and sequence of<br />
question;<br />
- re-examine steps 1-5, and revise if<br />
necessary; and<br />
- pretest the questionnaire and revise.<br />
The hypotheses guiding the descriptive study<br />
are used to develop the questionnaires. They<br />
determine the in<strong>for</strong>mation needs because they<br />
specify the relationship under investigation.<br />
Sample Design<br />
The next step in the process is to select a<br />
sample. Probability and non-probability<br />
samples are two common types.<br />
Probability samples are divided into simple<br />
random samples, stratified random samples,<br />
and clusters. Simple random samples are those