By Ellen Grigsby
Short, available, and complicated, studying POLITICS, 5th version, provides a transparent define of the self-discipline of political technology and is helping scholars comprehend the sensible and quick makes use of of utilizing analytical ways to the learn of politics. this article is impressive for its early assurance of equipment and conception and using a case examine approach--introduced and used to procure in-depth information regarding a selected topic whereas additionally pointing to its barriers. whereas the textual content covers primary suggestions with modern, political examples, discussions of feminism and environmentalism supply a special departure from different texts and a special chance to professors and scholars of political technological know-how. during this variation, new bankruptcy starting examples spotlight contemporary controversies that would spark pupil curiosity, body middle techniques of the bankruptcy, and indicate to scholars how politics is ready their lives.
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Extra resources for Analyzing Politics : An Introduction to Political Science , Fifth Edition
The test group is exposed to a variable, whereas the control group is not. The researcher then observes whether the variable produces the hypothesized effect. In medicine, for example, researchers may test the effects of an experimental drug by comparing the progress of a test group (taking the drug) with that of a control group (not taking the drug). Clearly, the control group is a vital element in the experiment; used as a reference point, it allows the researcher to more accurately examine the effects of a variable (such as a drug).
Even as we observe and mentally record data, we are imposing meaning on it (that is, interpreting it). 65 Because interpretation is an inevitable part of observation, personal bias or opinion in the process of interpreting may be unavoidable. Thus, no matter how hard we try to be scientiﬁc, we may be viewing the world in a biased manner. As a consequence, falsiﬁcation is a complex matter. If we fail to falsify our hypothesis, our failure may not indicate the ultimate falsiﬁability of the matter in question; it may be caused by our interpretation of the facts we are recording.
In addition to testing hypothetical relationships, political science also points to the importance of understanding the difference between correlation and causation. Correlation is a relationship in which changes in one variable appear when there are changes in another variable (for example, lower voting appears with younger age groups). Correlation is not the same as ultimate, indisputable causation (one variable absolutely causing or creating the other). Were we to conﬁrm our hypothesis on age and voting, for instance, we could not say that we have proven that age absolutely determines whether someone will vote.
Analyzing Politics : An Introduction to Political Science , Fifth Edition by Ellen Grigsby