METHODS OF RESEARCH
SURVEY RESEARCH
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A mistake made by the researcher when conducting a research
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An assumptions made about the sample the may not be true or accurate
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using the wrong survey design to conduct a research
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respondents failing to complete a question due to laziness or lack of understanding.
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Detailed explanation-1: -A sampling error is a statistical error that occurs when an analyst does not select a sample that represents the entire population of data. As a result, the results found in the sample do not represent the results that would be obtained from the entire population.
Detailed explanation-2: -A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.
Detailed explanation-3: -The second is called a Type II error. This occurs when the researcher assumes that a relationship does not exist when in fact the evidence is that it does. In a Type II error, the researcher should reject the null hypothesis and accept the research hypothesis, but the opposite occurs.
Detailed explanation-4: -A type I error occurs when in research when we reject the null hypothesis and erroneously state that the study found significant differences when there indeed was no difference. In other words, it is equivalent to saying that the groups or variables differ when, in fact, they do not or having false positives.