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Lecture 2

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Department
Biology
Course
BIO1109
Professor
Kenneth Campbell
Semester
Fall

Description
Case Studies­ one individual is studied  Problems Generalisim Exceptions to the rule  Group studies­ sampling  ­sample a small number of individuals from the population ­randomization? Every one in the population has an equal chance of being chosen  ­representative? Is the random sample representative of the population ­its better to have a small but representative sample then one is large and unrepresentative  True experiments  ­Experimental manipulation applied ­(the dependent variable is caused  Problems with true experiments  ­sample size. Often small, generalization (15 is a large sample group) ­But power of replication, the experiment must be able to be replicated  ­experiment must often be carried out in a controlled setting (often in a laboratory) ­is this typical of the real world? Is it possible to generalize from the results of a lab based  study to the real world? Quasi­ experiments  ­in the social(human) environment the scientist cannot always manipulate the  independent variable  ­comparing one group to another ­experimental manipulation ­examples… differences between men and women; difference between younger and older  subjects; patients vs controls; effects of long term drug use  ­assumed that differences are cause by independent variable  Experimental designs  ­one design uses control and experimental groups  ­ the control groups is called the control group because it is because It is the same type of  people in each group and then you are sure that the experiment is accurate ­ random assignment, pe
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