Proposed Empirical Study -Theory of four-paradigm in ：提出的实证研究——四范式理论.ppt

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Proposed Empirical Study -Theory of four-paradigm in ：提出的实证研究——四范式理论.ppt

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Proposed Empirical Study -Theory of four-paradigm in ：提出的实证研究——四范式理论

Proposed Empirical Study-Theory of four-paradigm in information system development Presented by Jing Hou February 10, 1999 Problem Description The hypothesis to be tested: The implicit assumptions that information system developers make are based on one of the four broad categories of paradigms: Functionalism Social relativism Radical structuralism Neohumanism Methodology Description Step 1: Conduct a survey Step 2: Analyze the sample data from the survey to base the foundation of the empirical study Step 3: Compare the survey result with the hypothesis Survey Elements Sampling Design Instrumentation Data Collection Data Processing Result Interpretation Sampling Design Strive for reliability and validity Identify components quite precisely Determine sample size carefully Depend upon random sampling Use trial when necessary Identify sources of bias Instrumentation Composing questions Focus very precisely Keep each item brief Strive for clarity Use core vocabulary Use simple sentences Instrumentation Creating item scales Keep it simple Respect the respondent Dimension the response Pick the denominations State instructions clearly Instrumentation Building Questionnaire Emphasize the introduction Check sequence carefully Group items into sections Limit and control branching Don’t overestimate respondents Precode responses Pretest the entire questionnaire Data Collection Choose e-mail over personal interview The task doesn’t require interaction with the respondents E-mail is free, therefore no cost of travel or long distance telephone calls Respondents can record their own responses E-mail can reach respondents in a broad geographic area and ensure timely response Data Processing Keep it neat and orderly Maintain adequate records Postcode questionnaires carefully Monitor data transfer Edit the computer data files Identify scale data types Result Interpretation Analyzing The Results Remember the objectives Provide data description first Identify the scale typ