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How to Design and Evaluate Research in Education

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388 PART 4 Quantitative <strong>Research</strong> Methodologies www.mhhe.com/fraenkel7eASSOCIATIONS BETWEEN CATEGORICAL VARIABLESBoth crossbreak tables <strong>and</strong> cont<strong>in</strong>gency coefficients can be used <strong>to</strong> <strong>in</strong>vestigate possibleassociations between categorical variables, although predictions from crossbreaktables are not precise. Fortunately, there are relatively few questions of <strong>in</strong>terest<strong>in</strong> education that <strong>in</strong>volve two categorical variables.For Discussion1. Suppose a researcher was <strong>in</strong>terested <strong>in</strong> f<strong>in</strong>d<strong>in</strong>g out what fac<strong>to</strong>rs cause del<strong>in</strong>quentbehavior <strong>in</strong> teenagers. What might be a suitable comparison group for the researcher<strong>to</strong> use <strong>in</strong> <strong>in</strong>vestigat<strong>in</strong>g this question?2. Could observation be used <strong>in</strong> a causal-comparative study? If so, how?3. When, if ever, might a researcher prefer <strong>to</strong> conduct a causal-comparative studyrather than an experimental study? Suggest an example.4. What sorts of questions might lend themselves better <strong>to</strong> causal-comparative researchthan <strong>to</strong> experimental research? Why?5. Which do you th<strong>in</strong>k would be easier <strong>to</strong> conduct, causal-comparative or experimentalresearch? Why?6. Is r<strong>and</strong>om assignment possible <strong>in</strong> causal-comparative research? What about r<strong>and</strong>omselection? Expla<strong>in</strong>.7. Suppose a researcher was <strong>in</strong>terested <strong>in</strong> the effects of team teach<strong>in</strong>g on student attitudes<strong>to</strong>ward his<strong>to</strong>ry. Could such a <strong>to</strong>pic be studied by means of causal-comparativeresearch? If so, how?8. What sorts of variables might it be wise for a researcher <strong>to</strong> th<strong>in</strong>k about controll<strong>in</strong>g for<strong>in</strong> a causal-comparative study? What sorts of variables, if any, might be irrelevant?9. Might a researcher ever study the same variables <strong>in</strong> an experimental study that he orshe studied <strong>in</strong> a causal-comparative study? If so, why?10. We state <strong>in</strong> the text that, <strong>in</strong> general, quantitative variables should not be collapsed<strong>in</strong><strong>to</strong> categorical variables because (a) the decision <strong>to</strong> do so is almost always an arbitraryone <strong>and</strong> (b) <strong>to</strong>o much <strong>in</strong>formation is lost by do<strong>in</strong>g so. Can you suggest anyquantitative variables that, for these reasons, should not be collapsed <strong>in</strong><strong>to</strong> categoricalvariables? Can you suggest some quantitative variables that could justifiably betreated as categorical variables?11. Suppose a researcher reports a higher <strong>in</strong>cidence of childhood sexual abuse <strong>in</strong> adultwomen who have eat<strong>in</strong>g disorders than <strong>in</strong> a comparison group of women withouteat<strong>in</strong>g disorders. Which variable is more likely <strong>to</strong> be the cause of the other? Wha<strong>to</strong>ther variables could be alternative or contribut<strong>in</strong>g causes?12. Are there any research questions that cannot be studied by the causal-comparativemethod?13. A professor at a private women’s college wishes <strong>to</strong> assess the degree of alienationpresent <strong>in</strong> undergraduates as compared <strong>to</strong> graduate students at her <strong>in</strong>stitution. Shewill use an <strong>in</strong>strument that she has developed.a. Which method, causal-comparative or experimental, would you recommend sheuse <strong>in</strong> her <strong>in</strong>quiry? Why?b. Would the fact that the researcher plans <strong>to</strong> use an <strong>in</strong>strument that she herselfdeveloped make any difference <strong>in</strong> your recommendation?Note1. The <strong>in</strong>terested reader is referred <strong>to</strong> J. D. Elashoff (1969). Analysis of covariance: A delicate <strong>in</strong>strument.American <strong>Education</strong>al <strong>Research</strong> Journal, 6: 383–399.

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