Chapter 5 Notes - Chapter 5 Information Gathering...

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1 Chapter 5 Information Gathering: Unobtrusive Methods Systems Analysis and Design Kendall & Kendall 2 Learning Objectives Recognize the value of unobtrusive methods for information gathering Understand the concept of sampling for human information requirements analysis Construct useful samples of people, documents, and events for determining human information requirements Create an analyst’s playscript to observe decision-maker activities Apply the STROBE technique to observe and interpret the decision-maker’s environment and their interaction with technologies
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2 3 Unobtrusive Methods Less disruptive Insufficient when used alone Multiple methods approach Used in conjunction with interactive methods 4 Major Topics Sampling Quantitative document analysis Qualitative document analysis Observation STROBE
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3 5 Sampling Sampling is a process of systematically selecting representative elements of a population. Involves two key decisions: Which of the key documents and Web sites should be sampled. Which people should be interviewed or sent questionnaires. 6 Advantages of Sampling The reasons systems analysts do sampling are: Reduces costs Speeds up the data gathering less interviews and less reading is done. Improves effectiveness by gathering a greater amount of data from a smaller amount of sources Reduces data-gathering bias. For example, interview an executive v/s sampling
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4 7 Sampling Design Steps To design a good sample, a systems analyst needs to follow four steps: Determining the data to be collected or described. Identifying the variables, attributes and data items that need to be gathered as well as considering the study objectives and the type of data gathering method to be used. Determining the population to be sampled. For example, for written information, how far back chronologically should the analyst go? If interviews, how many employees from each organizational level should be interviewed? What about other stakeholders? Choosing the type of sample. Deciding on the sample size. 8 Types of Sampling
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5 9 Convenience Sampling Unrestricted, nonprobability samples. Anyone can participate in if they're interested. Easy to arrange Most unreliable since these are the people who are motivated to participate 10 Purposive Sampling Based on judgment Analyst chooses group of individuals to sample Based on criteria Analyst chooses people to interview based on who he/she thinks is motivated and knowledgeable Nonprobability sample not random, and therefore not scientific Moderately reliable
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6 11 Simple Random Sampling Based on a numbered list of the population Each person or document has an equal chance of being selected Numbers can be drawn to see who is asked. 12 Complex Random Sampling Draw participants randomly, but the participants are drawn from different subgroups.
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