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Therefore, the results of the data collection process may not be representative of the populationâs true opinion on the topic.
Accuracy and Confidence
?The final issue to be considered in choosing between a sample or census
1. sampling error can be calculated and so is subject to statistical estimation, thus the accuracy of the results can be defined;
2...
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sampling error can be calculated and so is subject to statistical estimation, thus the accuracy of the results can be defined;
2. a census is more prone to non-sampling errors, e.g. interviewer bias, analysis error;
3. a sampling error can be reduced by increasing the sample size (sometimes impossible)
? samples are the preferred choice of most researchers (more convenient, easier and more economical than a census)
The sampling plan
Stage 1 â define the population (element: UL Students, unit: - , time dimension: now, geographic boundary: UL)
Stage 2 â select sample frame (not in our case)
â¦3 - choose a sampling method (non-probability)
â¦4 â choose a sampling type ( convenience)
â¦5 â determine the sample size ( 40 â 50, default)
â¦6 â analysis of data
â¦7 â validation of the sample (overlaps with field work)
Sampling Method:
Probability Sampling
Each unit has a known chance of being selected⦠Allows to make inferences about the whole populationâ¦Enables the calculation of the sampling errorâ¦
Researcher is excluded from choosing the sample members ? eliminates selection bias on behalf of the interviewer as well as subjective selection⦠(not possible in our case)
BUT: each element in the pop...
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