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Surveys and sampling_2
Fichas del conjunto (9)
- 1stratified samplingThe researcher first breaks down the population by age,gender,class etc .then samples are created in the same proportions
- 2Quota samplingthe population is stratified for example each interviewer is given a quota of sixty femals who are 16yrs old the interivewer has to fill the quota with people who fit these characteristics.
- 3sampling framesTo select a sample of the research population-the researcher creates a list of all the members of the research population from which the sample can be chosen.
- 4Pilot studyA small scale study(trial run) of your experiment , its aim is to find out any problems
- 5Pilot studyA small scale study(trial run) of your experiment , its aim is to find out any problems
- 6What does a sample have to have to be representative?a same should have the same characteristics,in the same proportions,as the wider research population.It should be a cross-section of the whole group
- 7close ended questionsRespondents choose their answer from a limited range of answers decided in advance by the researcher
- 8Open-ended questionsRespondents are free to give whatever answer they wish,in their own words and without pre-selected choices
- 9Random samplingThis is where every member of the sampling frame has an equal chance of being selected e.g out of a hat
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- Fichas sobre Surveys and sampling_2, creado por ami126 el 15/05/2013.
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- ami126
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- Creado por ami126 · 15 may 2013
- Copiado por ami126 · 15 may 2013
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