Zamani, Maryam

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,#''$\.$t\otl{r,(P,t,,&y,Ylur,ol/ltd."*j rt"T.urt ._rStK g!" a,U rlU"U,6 n;d-i.f 6La o:l: \s-t) J. rsx *bJJ J U e(*,yf ,rtt, JJ; cEts J-r, e*,.U,.ttj ys:L*is Xl *..rF ;fs :L".tl1 :L-l,J^-, ,r_y -f t:.13ti":L*,tlfqf-lfqf :,rI*a.; JLPy.ll.,rL.f ti gL" o:l3il>:,Sl_fComparing the classic factor analysis with Bayesian factoranalysis on the data of family dermatology life quality indexA ThesisPresented toThe Graduate StudiesByMaryam Zamaniln Partial FulfitlmentOf the requirements for the DegreeMaster of Science in:BiostatisticsKerman University of Medical SciencesJune 201 576ro+5+l.t .JU" JJ-l .J)15 ,_r" 2pb' ; \;i orl9.;E 6L-sl ;f s; 69s y. aSL. ,tls! Ay, hd 4, d.r crta ..91L- :cil.ral 9 b)iu{*yf ,J.b J'^lr,i 1l ortril L (FDLQI) ,r-x ,.rl,,L* L .r,-[ ,:19;E 61,*l ;!s; d:*iJ d-]Li a.1'-.'i"",ri rLl ;,.3, .-i:-r.rtt" Jb.J ;l .c-l o$ ejy .'r-x r.rl.,L* o:19;l-' .gtcl ,il )"; \. . r.rL" rr FDLQI a.L;r, 4JU. J,l )) .-ul.i .f 6,* ,..:-l or; o;tiil ,-o.Lx" .jl.o Aj].;,,, ,-"-i .ro *tb,,!;1;o,9 lLl ;..1 .5lrr(BFA) .r-e.rL )l ap &)k al .51 a'Jlt + Ly.r glcVtl ;l altt- ;,-l ,r .c-l .rjLJ$ c,Ult g;l a,JL. ;r-l :la"|91 9 rlysl o:r5 a,>ly u*y* crl,6 .iiJ( t- 9 *<-; p9L ol5*;1.: q u*rls Lo olK;L,.: a, a-l .5ll;-il L-i 6 .r,-b a"L;:-r, ,f^*(Fr'> )) Of .J1.6 J!, fti..r-l o"r.i ef ,6 a, t-o o:lr , 6H 9.4."yt ,rtt, Jtlr' ,Jb I *;F ,Sly..cal ol; o:l-i-.eal o"i,-rrSortiil R T.SP,SS 22 6t"rlytlpy )l r:*,J-l f gr,-r,5rt+l U \. ti'\. o1ya..t-b'Y.. L'\..,\Y. ;-:.$),id.()tJ,. FDLO| a.L'.;,.;,s-)lid;i,-lL.;)t*-d.,G-lt,;lrl"=:orl9;Li6t*\')ll\.. aJU.;r-l 1::buiL-e2 ,.q; A,.,6 6.p iJl- I #h. ! \A/f(+A/A) ,FDLQI ",,- Jr<t. .)r JL fY/\(+\YiY) JE);t 8i 61. ;S;'-jLrJl oLl' J"lr.J .,:-lor.i c-"r, ./AA 9.llY*:; + ta o:1.:;lpo ;,_l csly (KMOlrS tC I tVlf .gl"li ;l;"" r.p--rFl &l s*,rtle JJ>.J,,:.S.r ,tV-\ *\jl .1, )lfalt* aJ c*l o:1.:..po<,.i;ta o:1.:.91r, 1,,,-l"t".i- q.-.)r-.r el+-lJ.tcf tr-< e o)?o l4c,\rc, tvlf tdi 4L- .r. ,".o15 irL;' crta a;r- p4> L;s9 I ."f l, a:^l U.l Oli qr. .iL;" dta 4;'- g.l;; ) 6rSa;;;51 ,r .(-)tl stte J"I>.J ;r a-( c-l ;,1 c.iLr.: ;ly .*;[b,;' 9: ] S ,Sl qL,i' a+t .+L_ .r nlpl (KMO)r$ ,os) cr" at?o 6* e.l, ), MCMC nn.rfll $ 6)F li of Jl- ,r sl a:ilr aY! rt) &b,,tl \. .l 1 gb Jlr QJ e. -.rrl: l, o,; .r")re .J-l dilJ ,J.L>," .5ll ,p,-r .]to." c"-U 1.: .c-l oJ-i.j o!) ,S f : Jli *tb ,,Ll oFly Jly, ,) c.r-l j _-.5Lo orlgl- 6L;cl ufs; c*iJ ddLi .(MCMC)ilS .;y.sf tL p,flt,(BFA)6rr1c,tte #>.; :.54[.gboj.(FDLQI);;y..-=elbstsractBackground & Objective: Chronic diseases impact not only on patients but also on their..mily members' lives. This study aims to determine dimensions of Family Dermatology Life.'.rality [ndex (FDLQI) questionnaire by using of classic and Baysian factor analysis. In this..-rdy', FDLQI questionnaire distributed among 100 family members of dermatological::tients. Baysian Factor Analysis (BFA) is exploited to determining dimension and- : ntribution of items of questionnaire by different sample sizes.\[ethod: In this study 100 family members of dermatological patient attended to evaluate::sian version of FDLQI questionnaire. The subjects were recmited from outpatient clinics, Kerman University of Medical Sciences and private clinic. For comparing the classic and:=lesian factor analysis are done in different sample sizes. The software SPSS 2l and R are-::iied.R.erult: Mean age of participants was 37.1 years (*12.3). Mean score of FDLQI was 15.4-:5i with maximum and minimum scores of 30 and 6, respectively. Exploratory factor-..rsis revealed one-factor solution that accounted for 45.87'/o of the total variance. The--::mensional model was concordance by confirmatory factor analysis. Bayesian factor*-'',sts classified the data in to two factors. The different sample sizes for Bayesian factor--: -. sis are generated by Monte Carlo-Markov Chain (MCMC) algorithm.- nu-lusion: It is appears that when sample size diminished, Cronbach's alpha and Kaiser-. =:-Olkin (KMO) increased. Most of results showed that among 10 items of- -....:rnaire item 9 and l0 mostly appears differently. In classic factor analysis these two:-. " rading factor were in second factor. In the other hand in Bayesian factor analysis these" .::s didn't have considerable mean of loading f-actor.74. :e limitation of the study was that we had no data regarding the kind and severity of:::matological disease to run the analysis..":r rvord: Bayesian factor analysis, Monte Carlo-Markov chain algorithm (MCMC), FamilyIt:rmatology Life Quality Index (FDLQI)75

=Comparing the classic factor analysis with bayesian factor analysis on the data of family dermatology life quality index

http://eprints.kmu.ac.ir/21625/1/5054.pdf

=Comparing the classic factor analysis with bayesian factor analysis on the data of family dermatology life quality index

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