Psychological Research
Descriptive and Inferential Statistics
Descriptive statistics is an style of analysis that is used when wanting to describe the entire population under study. But the population studied must be small enough to include every case, or each subject. ("Definition") On the other hand, inferential statistics also studies a population, but the purpose is to expand the results to include a much larger population in general. (Healey) In descriptive statistics, the results can be used to make conclusions about the population studied, and only that particular population. While inferential statistics allows a researcher to make conclusions about larger groups based on the results of the study of one particular group.
Descriptive statistics can be used when studying a population, such as one particular class in a school, or one group of workers, and the results are to be used to draw conclusions from only that group. For example, the study may draw conclusion about girls in one class as compared to girls in another. But inferential statistics can be used when studying a population that is representative of a much larger group, for instance, using the results of a study of one class in order to study students in general. It is important that the study be constructed in such a way as to only draw conclusions that the results will allow one to make, and not more. For instance, studying people in one particular shopping mall will not allow one to claim that the result can be applied to all people at all shopping malls.
2. Case study Method and Single-subject Experimental Design
When studying groups of subjects there are two approaches a researcher can take: the case study method, and the single-subject design. While both deal with groups of subjects, and study individuals within those groups,...
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