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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

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