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I have many journals here at hand with research in them of this sort."<br /><br />So you did a search of the literature you had easily available - hardly a contradiction!Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7881402584568285627.post-30067990379874941002012-08-06T07:36:43.572-07:002012-08-06T07:36:43.572-07:00"Of course and Rothermel gives several instan..."Of course and Rothermel gives several instances of this herself. For example in one of the academic tests, she mentions that the inclusion or exclusion of two children would affect the results by 12%. This is the big problem with small samples, that freak results can distort the figures."<br /><br />Exactly. That's why the authors of such studies warn readers that the sample is small - small from a sampling and statistical point of view, not in comparison to other studies. They give this warning so that readers are aware that confidence intervals are likely to be wide and that errors are possible. Often meta studies are compiled to gather together the results of several studies in an attempt to bypass this issue. The multimethod approach to data gathering in the Rothermel research was another attempt to ameliorate this issue.<br /><br /><i>"This research used a multimethod approach that facilitated the quality and quantity of data necessary in order to gain a comprehensive portrayal of home-education in the UK. It enabled conclusions to be drawn through reference to a multiplicity of sources, methods and theories (Denzin 1989). It was also anticipated that by using different methods, interpretability would be enhanced whilst threats to validity[2] were kept to a minimum (Robson 1993).<br /><br /> In a discussion about multiple methodologies, Burgess (1982) referred to the process of ‘research triangulation’. This suggests that a field researcher must collect many sets of data, relating to the different phases of the research, the different settings and the different participants. This approach has drawn criticism from Gans (1991) for the vast amount of unmanageable data that can accrue. The quantity of data collected for this research was indeed vast and although it remained manageable, it was nevertheless, laborious to co-ordinate."</i>Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7881402584568285627.post-60619344985222565502012-08-06T07:35:27.003-07:002012-08-06T07:35:27.003-07:00'A simple search of the literature reveals tha...'A simple search of the literature reveals that the majority of studies like this have similar sample sizes.'<br /><br />I hardly need to do that. I have many journals here at hand with research in them of this sort. I have just, for example, reached down at a copy of the Journal of Autism and Developmental Disorders for September 1992. Opening it at random, we find an article on page 375 on Validity and Reliability of the Infant Behavioural Summarised evaluation. It is a study in which N=33 and N=39. <br /><br />The point to bear in mind is this. Studies of this sort are done all the time and we can usually assemble a meta analysis, adding together the data from forty such pieces of research. Rothermel's work on home education was a singleton; there is no other research of this sort on home educated children with which to compare it. This means that when we see in the academic tests N=17; that is it. Just seventeen cases to consider. This is a small number indeed for the whole of the academic research into one particular category of child in this country.Simon Webbhttps://www.blogger.com/profile/10865289865412656573noreply@blogger.comtag:blogger.com,1999:blog-7881402584568285627.post-91418809516202736632012-08-06T07:05:47.192-07:002012-08-06T07:05:47.192-07:00" I suggest that it was work similar to that ..." I suggest that it was work similar to that which she was herself carrying out."<br /><br />A simple search of the literature reveals that the majority of studies like this have similar sample sizes. They are small from a statistical point of view, rather than by comparison too most other research.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7881402584568285627.post-76061890294288692112012-08-06T06:45:09.471-07:002012-08-06T06:45:09.471-07:00'You said that the number of participants was ...'You said that the number of participants was small for work of this sort. It isn't.'<br /><br />I can see that we are not understanding each other. When Dr Rothermel described the numbers of participants in these tests as 'small', she was clearly comparing them with something; there being no absolute measure of 'smallness'. So those numbers would be small in comparison with the number of atoms in the universe, but large when compared with the number of Anglican Archbishops in this country. What do you suppose her basis for comparison was in this case? I suggest that it was work similar to that which she was herself carrying out. Otherwise, the statement that the numbers were small would be utterly without meaning.<br /><br />' This doesn't negate the work, but it is something that should be born in mind when considering the results'<br /><br />Of course and Rothermel gives several instances of this herself. For example in one of the academic tests, she mentions that the inclusion or exclusion of two children would affect the results by 12%. This is the big problem with small samples, that freak results can distort the figures.Simon Webbhttps://www.blogger.com/profile/10865289865412656573noreply@blogger.comtag:blogger.com,1999:blog-7881402584568285627.post-33930697793866790142012-08-06T05:44:38.027-07:002012-08-06T05:44:38.027-07:00You said that the number of participants was small...You said that the number of participants was small <b>for work of this sort</b>. It isn't. Small sample sizes are very common in this type of paper (including those in peer reviewed journals). This doesn't negate the work, but it is something that should be born in mind when considering the results. Many papers include similar comments by authors, as you should know.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7881402584568285627.post-48884580395053432912012-08-06T05:03:48.669-07:002012-08-06T05:03:48.669-07:00'"It makes little difference, because bot...'"It makes little difference, because both twenty and forty are small numbers for work of this sort."<br /><br />You've clearly not read much research or you would know that these are fairly typical numbers, often seen in peer reviewed journals. Obviously there are occasionally much larger studies, but they form the minority of research papers.'<br /><br /><br /><br />Odd. In the third paragraph of section 9.3.4 of her dissertation, Dr Rothermel observes that, ‘Overall, the number of participants taking these social and psychological assessments was small’. You seem to disagree with her opinion about her own research. Perhaps she knows less about it than you do?<br /><br />You do understand what I am saying here? I said that, ' both twenty and forty are small numbers for work of this sort'. Paula Rothermel says, 'the number of participants taking these social and psychological assessments was small’. It strikes me that she agrees with what I said. This is hardly surprising, because I was quoting her.Simon Webbhttps://www.blogger.com/profile/10865289865412656573noreply@blogger.com