phil001notesWeek10 - Dr Mcs Philosophy 001 (1091) Lecture...

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1091001notesWeek10 © 1 Dr Mc’s Philosophy 001 (1091) Lecture Notes, Week 10 © Second midterm—next Tuesday, during lecture. Format is similar to that of the first midterm Four Sections: 1. T/F 2. Multiple Choice 3. Multiple Choice with a Twist 4. Reconstructing Arguments - assign variables, - supply claims as needed to make valid, - leave out unnecessary claims, - supply justifications Similar to Assignment 5 The Standard Pattern for Survey Arguments Background information 1. Result of Sample 2 . The Accuracy Premise 3. Conclusion about Sample (1,2) 4. The Representativeness Premise 5. Final Conclusion (3,4) Evaluating a survey argument. Was the result of the sample as claimed? I.e., did what is said to have happened really happen? You can, in effect, run a testimonial argument here. If you have reason to doubt the sincerity or reliability of the source, you should choose not to accept the results. This is quite rare. Incomplete or vague descriptions need not be false, or unreasonable to believe. They could, however, cause problems for evaluating the accuracy and rep. premises. Evaluating the accuracy premise Is the measured property an accurate indicator of the target property? If they are exactly the same, then yes. If they are not, you need to think. Possible problems:
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1091001notesWeek10 © 2 1. Dishonest Survey Answers —is there any reason to think that people surveyed are not telling the truth? is the question embarrassing? do the respondents think the questioner expects a certain answer? do the respondents think that giving a certain answer would go against their interests? 2. Slanted Questions —are the questions worded so that an accurate answer is not likely? “Would you like to see significantly more parkland, or would you prefer to see the province paved over?” “forced choice” questions can contain a false dilemma Some questions are impossible to answer with a yes or a no “Do you support the federal fisheries plan, which will destroy coastal villages and unfairly targets working people?” “Have you stopped beating your wife?” 3. Inaccurate Tests Not all survey arguments use opinion polls; some use physical tests. However, sometimes tests fail to measure what they are intended to measure. E.g., some measures of body fat do not work… Evaluating the Representativeness Premise Is the sample population representative of the target population? Is the sample large enough,
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This note was uploaded on 12/07/2010 for the course PHIL PHIL 001 taught by Professor during the Spring '10 term at Simon Fraser.

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phil001notesWeek10 - Dr Mcs Philosophy 001 (1091) Lecture...

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