Information Requirements Analysis

In: Computers and Technology

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Short Answer/Essay Questions
Information Requirements Analysis

Eddie Bailey

A good questionnaire is one that enables collection of precise data in a well-timed manner. It facilitates the work of data gathering, data processing and the tabulation of data. It ensures that there is no collection of unneeded information. It permits complete and important analysis as well as purposeful utilization of the data composed. Random Sampling Advantages: Since it is done at chance, the whole process is evenhanded. This is good to use in less significant populations, of course it doesn't 100% protect from bias (depending on the question). But this option is a faster way of achieving information. Disadvantages: As I said before, depending on your question it cannot put a stop to bias. Also, if you are sampling information from a big population this will take too much time and patience. There is also no assurance that what these people say, represents what another group of people think. Non-Random Sampling Advantages: This is more precise because you are targeting a particular group, therefore your answers will be parallel to what the rest of the population (of this group) will answer. Disadvantages: This is more predisposed, because the individuals chosen are not at random. They also may not represent what another population thinks. According to Clark (2012) states that " Lead by Example; all facilitators must present an example to the participants. They should demonstrate the values, disposition, and behavior which is required to successfully achieve the workshop goals. Confidence; Facilitators have to exude self-confidence in their mission in order to help out participants acquire and sustain a proper level of self-confidence throughout the workshop. Confidence in the mission is tremendously important, as it is the answer to…...

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