chapter 6 RM

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19 Terms

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Observational research

naturalistic observation and participant observation

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naturalistic observation

knowledgable informents

unobstrusive measures

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participant observation

advanatges:

disadvanatges:

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Observer bias 

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Open-end questions 

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forced-choise questions

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like-scale questions

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How to write good questions: general guidelines

Use langauage appropriate for population 

use precise wording 

aviod biased words 

aviod double barrled questions 

aviod unwarrented assumptions 

do not as questions that respondents may not know the anwser for 

do not ask questions for whcih everyone gives the same anwser 

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Sampling goal

accurate description of population more for descriptive research and experimental research 

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research dilemma

need a meausre of entire group (=population)

cannot measure each individual 

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representative sample

sample that affords accurate and unbiased estimates about the population as a whole

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biased sample

sample that does not afford accurate and unbiased estimates about the population as a whole 

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central limit theorem 

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sampling error 

difference between population mean and sample mean 

does not respect other sources of error 

only meaning for probability sampling methods 

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simple random assignment sampling 

equal chance of being selected from population 

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stratified random sampling

divide the population into non-overlapping groups

do simple random sampling of each group

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convenience (availability) sampling

recruit readily available research participants

psychology departments pool, students in class, patients at local hospitals 

not representative of population 

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quota sampling

A convenience sample that ensures a certain distribution of demographic variables

Set goals of key demographic variables 

recruit participants until goals are met: same problems as a convenience sample 

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snowball sampling

asking participants to recommend others for the study (good for targeting rare populations)

non-representative because social connections are not random