That might be true Paul, but using a biased scale is not the solution. The solution is to add to the number of categories on the scale for finer discrimination. Cheers, Burke On Wed, Apr 29, 2015 at 6:04 PM, Swank, Paul R <[log in to unmask]> wrote: > The purpose is to spread people out on a continuum. If all the responses > are occurring in just a few categories, then the balanced scale fails. This > has been a known problem in the scaling literature for years. In bff > balanced scales make good sense when a substantial number of the responses > are on the positive side of the scale. > > Paul Swank > > Sent from my iPad > > On Apr 29, 2015, at 5:50 PM, William Pendleton <[log in to unmask]<mailto: > [log in to unmask]>> wrote: > > Exactly. If the purpose is to equalize the numbers in each grouping, the > question is a bad one That end can be done in coding. Using the unbalanced > form that would seem to decrease the number of unfavorable responses to > force that end strikes me as poor design. > > On Wed, Apr 29, 2015 at 6:17 PM, Swank, Paul R <[log in to unmask] > <mailto:[log in to unmask]>> wrote: > The problem with many balanced scales is that when evaluating events or > people or objects raters tend to stick to the positive end of the scale. > This is a particular bias in raters, especially untrained ones. When 70% or > more of the responses are on a positive end then differentiation suffers. > There are 2 ways to deal with this, either expand the scale to more levels, > which may just give you a large number of levels not endorsed (the negative > ones), or make the scale unbalanced. The latter method is more efficient. > And by spreading out so many positive responses across more levels, better > differentiation is achieved. > > Paul Swank, Professor > Health Promotion and Behavioral Sciences > School of Public Health > University of Texas Health Science Center Houston > > Sent from my iPad > > On Apr 29, 2015, at 4:55 PM, Burke Johnson <[log in to unmask] > <mailto:[log in to unmask]><mailto:[log in to unmask] > <mailto:[log in to unmask]>>> wrote: > > Question for research and measurement experts, > > Are any of you concerned about the unbalanced 4-point rating scale being > used by the AERA to evaluate the recent annual conference? Here is the > unbalanced scale they are using: > > 1=dissatisfied > 2=somewhat satisfied > 3=satisfied > 4=very satisfied. > > It seems pretty convenient and unfair to have 3 of 4 responses indicating > satisfaction and only one indicating dissatisfaction in my professional > opinion. > > I informed the Executive Director of the AERA about this problem two years > ago and she did not make a change to a recommended scale. > > I had recommended that they use one of the two following scales: > > 1=Very dissatisfied > 2=Somewhat dissatisfied > 3=Somewhat satisfied > 4=Very satisfied > > or > > 1=Very dissatisfied > 2=Somewhat dissatisfied > 3=Neutral > 4=Somewhat satisfied > 5=Very satisfied > > If you agree with me about this scaling problem, do you have any > suggestions about how to get the AERA to change their scale? > > Cheers, > Burke Johnson > Educational Research and Methodology Listserv > ----------------------------------------------------------------- List > Service Info http://listserv.uconn.edu< > https://urldefense.proofpoint.com/v2/url?u=http-3A__listserv.uconn.edu&d=AwMFaQ&c=6vgNTiRn9_pqCD9hKx9JgXN1VapJQ8JVoF8oWH1AgfQ&r=8frmz39BMbPfozSCry7R2XF1zD3P8iT3dTcbzh5VWc8&m=Im0RZaeHPaag7mAbo0n7JqaMbXwAaXFld1jQ5lhtc2Y&s=mkVg5ej182j64tRsbWleBgyn1A88Vcv_v6yKBtbLm90&e= > >< > https://urldefense.proofpoint.com/v2/url?u=http-3A__listserv.uconn.edu&d=AwMFaQ&c=6vgNTiRn9_pqCD9hKx9JgXN1VapJQ8JVoF8oWH1AgfQ&r=8frmz39BMbPfozSCry7R2XF1zD3P8iT3dTcbzh5VWc8&m=niLm1r0FQ8i1g678LgMjCQmi53Msx9TB2IJCO1o2sYI&s=6rDOa4PShFkiwBAKt01NiZ4UeLjVgXZx3ywCTFBDXD0&e=> > To cancel your subscription address click please do the following: SEND an > email to the following address: mailto (colon) listserv (at) listserv (dot) > uconn (dot) edu Your email should contain only the message UNSUB > EDRESMETH-L. 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