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Using and Scoring the IPQ-R Subscales
It is advisable to have a good read of the IPQ-R paper before
you use the questionnaire. The paper can be
downloaded from this website. As outlined in the paper the
questionnaire can be adapted for particular
groups. Items relevant to the identity and causes of the illness
can readily be inserted into the
questionnaire.
The pdf !nglish version of the IPQ-R on this
website as"s the questions in relation to illness. #herever
possible the word illness should be replaced with the name
of the particular illness or condition under
study e.g. diabetes chronic fatigue syndrome.
SCORING THE IPQ-R
Please note:
$igh scores on the identity timeline consequences and cyclical
dimensions represent strongly held
beliefs about the number of symptoms attributed to the
illness the chronicity of the condition thenegative consequences of
the illness and the cyclical nature of the condition.
$igh scores on the personal control treatment control and
coherence dimensions represent positive
beliefs about the controllability of the illness and a
personal understanding of the condition.
Coding: for identity scale yes % &' no %
(
strongly disagree %& disagree %) neither agree or disagree %
* agree % + strongly agree % ,
Reerse score: IP& IP+ IP IP&, IP& IP& IP&/
IP)* IP)+ IP), IP)0 IP) IP*0
!" Identit#: sum yes-rated symptoms in column ) 1this symptom is
related to my illness2 on p. &
$" Ti%eline ´'chronic(: sum items IP& - IP, 3
IP&
)" Conse*uences: sum items IP0 - IP&&
+" Personal control: sum items IP&) - &P&
," Treat%ent control ite%s: sum items IP&/ 4 IP)*
" Illness coherence ite%s: sum items IP)+ 4 IP)
." Ti%eline c#clical: sum items IP)/ 4 IP*)
/" E%otional re0resentations: sum items IP** 4 IP*
/. Causes:items 5& - 5&
6o not use these as a scale. 7tart analysis with separate items
- used as grouping variables 1ie
those who do8do not believe in a specific causal factor2. #ith a
sufficient sample si9e 1n%, or more2 factor analysis can be
used to identify groups of causal beliefs 1 eg lifestyle ' stress
etc2
which can then be used as sub-scales 1see the following papers
for e:amples ).
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SPPSS S1NT23
This 7P77 synta: file can be used to compute the IPQ-R subscales
if you have some missing data from
participants on select items. ;n subscales with 0 items we
have allowed for a ma:imum of ) missing
items. T! timeline %
0?=!A@.+1ip&ip)ip*ip+ip,ip&2.5;=P>T! timecycl %
+?=!A@.*1ip)/ip*(ip*&ip*)2 .
5;=P>T! conseque %
0?=!A@.+1ip0ipipip/ip&(ip&&2.
5;=P>T! perscon %
0?=!A@.+1ip&)ip&*ip&+ip&,ip&0ip&2 .
5;=P>T! treatcon %
,?=!A@.+1ip&/ip)(ip)&ip))ip)*2.
5;=P>T! illcoher % ,?=!A@.+1ip)+ip),ip)0ip)ip)2.
5;=P>T! emotrepr % 0?=!A@.+1ip**ip*+ip*,ip*0ip*ip*2.
!!5>T! .
