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- ?'({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{|{({|})}|{
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- '({|})}|{ Bias - LP h010104
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- '({|})}|{::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
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- '({|})}|{ AMENDMENT LOG:
- '({|})}|{ 1/10 D.B.
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- '({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{|{({|})}|{
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- @seeAlso 4grouped distributions
- @seeAlso 4questionnaires
- @seeAlso 4fairness
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- @PlaySoundFile h1010401.wav
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- @animate PasGetCup
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- @at ,5
- #<bias#
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- @atgraphic 20,8
- @Picture datahand\H0103INT.bmp
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- @definition
- @at 70,21
- #bBias# means inclination, a slant or
- leaning to one side. If results are
- biased it means that they #bdo not#
- @At 10,
- give a true picture of the real situation. When
- you come to analyse results from surveys,
- you should take possible #Bbias# into account.
- '@at ,+2
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- '@keyPoint 9999,definition
- @prompt
- @At 10,95
- @keyPoint 9999,identifying bias (part 1)
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- @PlaySoundFile h1010402.wav
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- @animate PasWave
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- #bidentifying bias#
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- @wait 0.5
- @at ,+3
- Example: If a survey about the types of meat
- people eat is given to vegetarians, their answers
- will be #bbiased# to reflect their lifestyle, rather
- than that of the meat-eating public in general.
-
- @wait 0.5
- @atgraphic 8,166
- @Picture datahand\H0104Q1.bmp
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- @animate PasGetCup
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- @prompt
- @keyPoint 9999,identifying bias (part 2)
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- @PlaySoundFile h1010403.wav
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- @at ,+3
- You can include questions in the questionnaire
- which allow you to identify possible bias. Think
- about the type of things that might affect your
- results, then include a question to check
- whether this is happening.
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- @wait 0.5
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- @atgraphic 8,164
- @Picture datahand\H0104Q2.bmp
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- @prompt
- @keyPoint 9999,summary
- '@at ,+10
- #bSummary#
- @Wait 0.75
- @at ,+10
- * #^Survey results may sometimes be biased
- @wait .75
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- @at ,+10
- * #TYou can identify possible bias by including
- #Tquestions in the questionnaire
- @wait .75
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- @at ,+10
- * #TYou can then take bias into account when
- #Tyou analyse the results.
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