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<p>[quote user="schlimm"]</p> <p>Interesting.  According to UT-Austin:</p> <ul> <ul> <li>Mail: 50% adequate, 60% good, 70% very good</li> <li>Phone: 80% good</li> <li>Email: 40% average, 50% good, 60% very good</li> <li>Online: 30% average</li> <li>Classroom paper: > 50% = good</li> <li>Face-to-face: 80-85% good</li> </ul> </ul> <div>On the other hand:  "<span>Holbrook et al. (2005) assessed whether lower response rates are associated with less unweighted demographic representativeness of a sample. By examining the results of 81 national surveys with response rates varying from 5 percent to 54 percent, they found that surveys with much lower response rates decreased demographic representativeness within the range examined, but not by much."</span></div> <div><span><br /></span></div> <div><span>There are many strategies employed to increase response rate, depending on the population and type of survey.  The strategies used are not necessarily discussed in the article.  More important than sample size (beyond 500) is its representativeness.   This may be achieved through careful randomization (usually) or sometimes by using a stratified sample that probes only the relevant portion of the population, again depending on purpose and target. </span>[/quote]</div> <div></div> <div>Assuming for the moment that UT's criteria for determining was constitutes a good response rate is valid, a 34 per response rate is far off UT's 80 per cent mark for telephone surveys.</div> <div></div> <div>Apparently the researchers recognize that they cannot say anything about the population per se.  That is why they have included this statement in the opening paragraph of their report: <span>(TRA) - Austin - A wide-ranging study conducted by a research group at the University of Texas shows that an overwhelming majority of Texans surveyed......</span> They are rightly restricting their conclusions to the Texans surveyed, which is different than the population or the public.</div>
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