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Quiz 1 Version 1 Version 2 Version 3 1. D A C 2. 3. B 4. 5. 6. 7. 8.
9. 10.
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The Construction of Knowledge
Building Reality The Construction of Knowledge
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Issues of Validity and Reliability
Validity: Accurateness, i.e., is the measure/instrument used actually measuring what the researchers want it to measure? Reliability: Repeatability, i.e., if another researcher repeated the study with the same method and a different representative sample from the same population, would they get the same results?
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But is it Reliable?
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Who Would You Vote For?
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But are they Symmetrical?
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Real Life Example
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The Problem of Averages
What information are we seeking when we ask for the average ?
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The Standard Normal Distribution
= Mean, Median, and Mode
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An Illustration Averages (means) are highly sensitive to extreme values. Example: $40,000 $50,000 $80,000 $30,000 $20,000
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Calculating Measures of Central Tendency
Mean: =($20,000 + $30,000 + $40,000 + $50,000 + $80,000) / 5 = $44,000 Median $20,000 $30,000 $40,000 $50,000 $80,000 But…what if one person gets their dream job…
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$500,000 $50,000 Mean: =($20,000 + $30,000 + $40,000 + $500,000+ $80,000) / 5 = $134,000 Median $20,000 $30,000 $40,000 $80,000 $500,000
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Mode Median ($50,233) Mean ($67,609) Number of Individuals Income
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Correlation and Causation
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Determining Causation is Difficult
Must explain away alternative causes Example: Gateway Drugs Marijuana Use Use of Harder Drugs Association with Hard Drug Users
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Determining Causation is Difficult
Must explain away alternative causes Example: Gateway Drugs Marijuana Use Use of Harder Drugs Peer Pressure
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Interpreting Sampling Error
As of September 23, 2008: Gallup Polls show 44% 47% ± 2% sampling error
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Interpreting Sampling Error
Sampling error is the variation you could expect from taking multiple random/representative samples If we want to generalize to the population of voters we must consider sampling error as follows: Between 45% and 49% of voters support Obama (47 ± 2) Between 42% and 46% of voters support McCain (44 ± 2) It is impossible to determine a leader with this data!
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So…When Faced with Information…
Is the sample representative of the population? Are the measures used valid and reliable? Have the correct statistical methods been applied and have they been interpreted correctly? Did they cite the mean when they should have used the median? Did they jump from correlation to causation? Was sampling error correctly interpreted?
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