()#* D => % 1 <A) )B #C 1 1> 5
|
|
- Marybeth Parks
- 5 years ago
- Views:
Transcription
1 Journal of Educational Measurement & Evaluation Studies Vol. 7, No. 9, Autumn !396 ()*!9!"#$% 96/03/27 : 95/07/2 : (DTF) (DIF) $ % & " # "! * * 2 **. 6 "45 *** )8 7 **** 9 ***** <)#; : ()#* D => % <A) )B #C > 5 MNB (DTF) < / (DIF) F G# HC IG!. =). $#!H%R* =)?. O%.D P #Q </F < N D2? %<.D <) >C %< #2? DTF/DIF %>C CDC A) T* < S# :) ;B DIF YZ.[;# 7 :B X. 390 B 387 %. $# IRT #N >) DTF :#2? < PQB % < %H*. 4 7!M# \ C <A T)# a. 2 _C7 #2% (EF<0/000) (S ^ #2? DIF =e %. Cf ) df Y? DN2 <NX % 4 b c DN2 C % A) %DG9X < (? C <A DTF PQB %#).#2% DTF G % < )!D C <!D2? MNB DTF/DIF!</F G# HC :")+,- >C!hA %<!</F.D? AC i Hj < D) 7 H%R* =). :k2 2)) X ha #B l5 < >A )# * (mgramipour@yahoo.com X ha! bbqb C ** )N\N\ 95 ha Hj # #C ja *** X ha! bbqb C **** AC i Hj < A%R* cc *****
2 7 7 ",() )8 AC i Hj < C >C bm( %< <2* <#X. <? ) C Hb!C ( <) h)>) )!X G95 # ha # <f D$ <# ) P>A =S DG.C DG >C <H =). (. C D <) < =)B"a #)f* >C a < B P Q# 2 )(% < ( D2?! G 4 ) =S C )%n# =)B"a >). :) <2* <#X < C P.7 < \ =) C \.D D % 2 D2? c < ) =).D $ $# CC <ha%r* <;#!#f %%. )( \ (< < _ % %< %< F ) %H%R*!P = %. <h H*!)%H%R* =S.(2000! 2 <2BN) D lj #B cb < < % ) :o=s=) (DIF 3 ) G# HC F #$ pd 2)b PG 2)b ( 4 C ) 4 < j< %R) C D < G# CC.(987!984! 6 h) n#( 5 q?) 2)b (D2? s9_) % < PC % qb C# r$b ((DTF 7 ) < 4# G % DTF %<. $# t G# HC C D$ <B =).D2 <2>) %. Validity 2. Embretson 3. Differential Item Functioning 4. Focal group 5. Reference 6. Drasgow 7. Differential Test Functioning
3 37... (DTF) (DIF)! ) (DTF) < %F I j -2 u(dif) F t - :# r$b.(980! 3 D) 2 <2#? udtf sdtf P< 4 C < I DTF 7 X %DA* HC!%i =).D #) B!D (IRT 5 ) F v* )4 #N C < PC %Q < o h# %) < G# sdtf >) =). NQ (df Cf D2? s9_) DQ? N D95 b!c q? O9#X =) M# udtf C 7!C "% ($) q? ) (DN_) C Dw =) sdtf $ )b.% <A $ ) DN_ D95 < O9#X )b C 7!D C # C M# \ q? C x G udtf b. C % xb Dw < DN_ M#hA "C# < PC C Dw H* )b %OQ D < B 0 = udtf %.D < Q < D72 $. %Q < D72! "% P> bg < %Q B P> )! udtf sdtf C DTF Ch%.D!D:SC % udtf sdtf Ch% -: %A D => )* h% -2uD $. ) :SC 2 )B PC DTF b!d7 =) b S ) :) < %Q!D m( udtf :SC sdtf C!D7 =) 2 # PC :) B C qg h)>) Ch% -3 u? )B o.x yb 8 z PG z? < % I j C DTF!D m( % udtf sdtf. Rudner 2. Getson 3. Knight 4. Omnibus test 5. Item Response Theory
4 7 7 ",() ! P2C! S) D l4 < %Q $B.(205 DTF >) N? )% DTF DIF < ynb (995) 2 <!?.D < DIF %H* q jb I j 4 C C la$ N? z N? DIF I #7 =). j < PC DTF < N? I DIF %H* b < I j D =>!N DIF < %H* :B:B < N? z DIF %H*? #N.% <A DTF % G ^{B DQB DTF > C _X < N? I D => PC C )j ( 4b.(2008! 3 %!<C!) B DTF!C "% #A % < %H* :B:B DN2 < % C )j ( )? z 4b. } 2! # < PC c % D %" B * u2005! 4 P) D %X )a %" B B[; Hb DTF 2>)!< )a % # 8 =S.(2006! 5 ~* «6 )f*nb» <!. =). %? < % h#2n % % %=h $B D2 "z5.(995! <!?) %X C!~9 < :) #N_ R)! )f*nb!d < $ R) C DTF/DIF < ) < R) =).D #B %< C D2 =) < DTF/DIF? O. =) 95.D ynb DIF %< %H* #Q PQB P7 >!< %H* )a -;AB I8 )#Q <;# MB DTF lw y!< DTF/DIF? =). j %<. Chalmers, Counsell & Flora 2. Raju, Van der Linden & Fleer 3. Flora, Curran, Hussong & Edwards 4. Russell 5. Pae & Park 6. Measurement invariance
5 39... (DTF) (DIF) H%R*! =).(392!R$2 *) D2 C < >C %< ) =) 4 ( 87 C )%< %H* C D <?!AC i Hj.C -;A!#2% D2? DN2 #N %i $# >C %< ) #lj # AC PX #A* :9C%)4!CB u393!@jr u392!nn7 u39!> u387! ) D DIF 4 <) >C%< )!(394! 394 5!<) u200! 7 B) D #h lj #A S!#2? 7 B.(39! u394!d79 u204! 2 h >C 2h ;B < < D2? MNB DIF (200) <%H*.437 C <A a.d# lj D C <A a!95.#2% D2? MNB DIF 2h <!<) H%R*.D ynb #2? DIF < #Q < %H* < < <? D2? MNB DIF (204) h C <A a.d!<ab ha 2h!#2% D2? MNB DIF <ab ha 2h < < %H* #Q PQB 7. :SC 2 DIF y ^ % C 7 DN2!#2% 2 l5 =6 C )%H* C <A =). < DN2 D; l5 =6 %H* < }BB D2? MNB DIF ( (39) (394) D79 :) ab C D 7 =).C C #C >C 2)b "#A% )* l5 < (392) ) MB X DTF <) <CB # lj )>) ) <H < > 5.D #h lj >C %< DTF %. Barati & Ahmadi 2. Amirian, Alavi & Fidalgo
6 7 7 ",() %< D2? MNB DIF ( 2?X %H%R* MNB DTF C DIF O9X?!cbm( DTF N2 < B =).D # lj D2? * P>B B B C DIF i DN2 < i! P2C! S) D O\ 7 B < =A* %#C C %a < D2? MNB DTF (20) *!_.(205? DIF C \ C <A <* 2h < QB (987) 2 C P#.D DTF < < =)!< %H* w# % %H* C <A (ACT 3 ) )>) TC < DIF #)h N? #A C )%H* B!dF Y? 8) < DIF (992) 4 Y)% <#C.) B<! BNQ %$B %D%N H; %H* C <A (SAT 5 ) QB # < #2% $2 ) )N)!2 M #Q C < = Hj DIF (2006) 6.#2% B< < 2)b <2* )(S %H* C\ C <A (PISA 7 ) <H < )#Q %7 PISA DIF C j# =) =e %.D 8) l5 = < (2008) 8 =).D #2 < =) %H* M# \ C <A (TIMSS 9 ) C <A =e % a.#2% D2? MNB DIF!S# % "2bB 2 \ sn)bb 2* #X <H < DIF %H* < < < 5 j DIF (20) 0 "C!D).D. Pearson Test of English Academic 2. Doolittle & Cleary 3. American College Testing 4. Carlton & Harris 5. Scholastic Aptitude Test 6. Le 7. Programme for International Student Assessment 8. Doudeen & Annabi 9. Trends in International Mathematics and Science Study 0. Aryadoust, Goh & Kim
7 4... (DTF) (DIF)!)B =)* o < %H* 2 C #) <ha 2h (2004) 2 C <)j!!).#2% Cf % C <A (TOEFL 3 ) l <<5 2h < DIF (2008) 4 ~*.C P 5 df % q$ TOEFL < =# j# =).C 2h < < < %H* DIF A%R* Y>5 ƒ! =# #Q P < DX n# as C ynb #2? DIF H* D # C < I! ƒh* < )X #Q C )%H* C <A!_.#2% (996) 5 =.C D) 7 < #Q C )%H* <A a.c 8) > 5 Hj D2? MNB DIF df Y? q$!? C k2 :) < C $>B 8) %< DIF? (2007) 6 hc <.C P 5.77 C <A a.c B )B ACcbm(!#2% D2? MNB DIF. < %H* 87 N sn)bb (995) 7. (S DIF < %< X X D2? MNB DIF!CB AC % sn)bb C <A.C % n![27 P ha < q$ % n %H* < q$ [27 %H*!%2)b )6 9C )B df Y? C % <A o8 j# =).D %#) j# =)!h). B [27 %a Cf Y?. Michigan English Language Assessment Battery listening test 2. Breland, Lee, Najarian & Muraki 3. Test of English as a Foreign Language 4. Park 5. Wang & Lane 6. Brown & Kanyongo 7. Berberoglu
8 7 7 ",() <2B* u98! 2 #*C u980! ) GB <ha%r* 2!# B )6 )B Cf Y? a C (976! 5 u984! 4 ) X B N? %5 j P_ [27 %a df Y? C 7 (990) 8 <#hb 989! 7 %!(967) 6 =% P_ <ha%r* X.%<A DN2 #Q %$B DIF G# %#) C b# lj < C AC ^ D => Cf df Y? DIF G# X $# T)#?B =). =S <b 7 =) #A8 D2? MNB DTF H%R* =) T)#!AC i Hj < >C %< < <" B Ah% 2 7 =) <;# B C B7 Hb =)?B. ) $ 2 AC PX < =)# C! ha a PQB <H >C #2 #X %* B D %< DTF/DIF b. H* =).(2006!~* *) # N? DN2 AC i Hj < >C%<) C D =) 87 < N (DTF/DIF) < F G# HC #2? % p#2% %.D I!i d7 C!O% 4 87 H%R* Q# %c < S# :) % % P xbqb? <. 390 B 387 >C A) % l B ;B [;# %c. [;# ;B %c A) % %c. Fennema 2. Carpenter 3. Pattison 4. Grieve 5. Wood 6. Husen 7. Hanna 8. Ethington
9 43... (DTF) (DIF) (H* 35) (H* 45) :)(!(H* 50) 8) c :P l5 (H* 35) (H* 50) D2) u 8) 30) % 5 ~ u2 l5 (H* 30) ujb (H* 20) A) DG9X (H* 20) 2jB )B DG9X!(H*.9X. < (H* 70) ;B 2h < % >C ( % :>$B D2? c % "j7 59\. 479 ()? # "F, "! D#E 5 DTF/DIF " @0 A&B () ) " H0 G ) jb % < ) jb % < ) jb % < ) jb % <
10 7 7 ",() < >) (DIF) < %H* G# HC -;AB. $# SPSS R (l difr (l %#2 a? :#2j < C }G l P >) =) BNQ %) n# - :D qb n# F (Mz ) D) v*!% D2? ha l -2 u (< PC ) =H* NG n# P B n#!l -3 ) D DN2 "#)h $# YZ. :#2j < <!< =). 2)b !df=2 C 2)b 2 7 7! <.C }CB df= DIF? $.. % % DIF < =) C 2 7!) D DN2 "#)h $# ( l <.D % % C ) % % DIF!2)b =).C 2)b 3 7 O9#X )b s.!dif R (l.(393!*) =e %. "% DIF ^ % t!) D %"#)h! S IRT )4 #N >) (DTF) < G# HC -;AB!95. $# R (l mirt (l #2 (205) P2C < :B!DTF/DIF > H* % PQB % H* >) (l % < :B<.(988! 2 : ()) D% fj I j -X!< ){B $# NOHARM 3 CB CB -X %G =h fj l A)!%G.D G # (2007! 4 % ) <;# aa*!5i < :B %<A NOHARM # -X T)#!D2; G fj I j - :C }BB =)! %< % fj -2 u 0/005 2 ) B:SC %< %. Binary 2. Fraser & McDonald 3. Tanaka & Tanaka 4. Finch & Habing
11 45... (DTF) (DIF) b -3 0/0 2 B:SC %< % G A) =h %< %!D ) D A -X :) C CB CB -X. 0/95 2 Bm( #2? DIF > :#2j < >) %#)! 390 jb l5 D2) c < H* :). ƒ 390 & N+O (, 7I L M3 K...!DNA %> B! > C %lc C )%#C \.? -4 % %-3 :B# DN2 Db < -2 % I h)? - CQ ")( -;AB h)? c <3H* :#2j < PQB T)#! 479(2)? C \< % < #A #7 df Y? C % <A!90 jb D2) D^ b =e %.(b= 0/76!P<0/0) < 3 H* D v* (b=0/083!p<0/0) D2) < PC (α= -3/35!P<0/0) :#2j <!< F 50 % q? < PC.D < \. 99 H. #C H* v* #7 < ^{B:#2j < D P>AB.D H* v* #7 lx %<A :#2j < ( D^ b I@0 /92 /087 0/044 R4 " 2 0/000 0/000 0/000 D&3, 2 5+B ) (2) ) 5 " )3 )8 275/ / /608 "4Q )0 0/0 0/00 0/07 )8 0/76 0/083-3/35 ( P D2? D2) PC D^ b 0/76 D2? ++ : %X ) o :#2j < l 7-3/35)]=D v* =< 3 H* P[(:D? PC 0/083 < PC
12 7 7 ",() bs %.D :#2j < %v* H*. %<A (3)?. #A G :#2j < #A < 3 H* %v* H* %v* D #2B :#2j < C % <A (3)?.C H* < 3 H* 2 5+B ) D&3, "!K ")58S (3) ) ()7 K 3 K ()7 ()!$ )T VK +U VK 99/ U VK 3 K 8/ VK 87/4 K W )T D2? n# MB H* Y) b.9x (4)? =e %.% <A < PC 2 5+B 3 K VK K " D&3, ) 5TXQ (4) ) `#+,0 ] ^I_ W \ ] ^I_ Z AI[3-2 )8 0/5 0/ /554 c < 3 H* v* #7. 7 C % <A (4)? T)# $B. H* D2) < PC D2? n# MB D2) =NB })8 P YCC =NB })8 C D =) (4)? 479 =NB })8.D? < =NB b ~> })8 : D N5 87 _ ( 7 ) #) H%C NQ + -2/904 )]=D v* =< 3 H* [P(D? :#) H%C 0/083 < PC < D2? n# (7 ) #) H%C 479 C \< % D; "#)h (-2) b.d lj NQ Of7 :#2j "C < PC D; "#)h (-2) b C D 78274/977 #) H%C H* % % DIF %<A? 2 b =)!) D 272/423 b c 3 H* =).D l.:) B:SC t. D2? DN2 90 jb l5 D2)
13 47... (DTF) (DIF) /238 /09 0/997 0/04 R4 " 2 0/000 0/000 0/0 0/000 D&3, 3 5+B ) (5) ) 5 " )3 )8 36/ /479 6/ /72 )0 "4Q 0/08 0/002 0/00 0/026 )8 0/23 0/087-0/003-3/86 ( P D2? PC D2) < D2? PC < D^ b n# =# 4 l 7! 479(5)? C \< %!h) v* < #A #7 D2? C % <A :#2j < PQB T)#!P B :#2j < D^ b.(b= 0/23!p<0/0) < 3 H* D!< \. 99 H (b= 0/087!P<0/0) < PC (α= -3/86!P<0/0) : %X ) o :#2j <.D PC +0/23 D2?+ -3/86)]= D v* =< 3 H*[P(:D? PC PC < 0/003D2?-0/087 < 3 H* D v* #7 D? C D =) r % % DIF D v* D; "#)h < PC D2? P B ^{B D N5 < H* D v* #7 < PC D2? ^{B C 7 < 3 H*.D #C. bs %.D :#2j < %v* H*. %<A (6)?. #A G :#2j <! #A < 3 H* %v* H* %v* D #2B :#2j < C % <A (6)?.C H* D2) c 3 H* N 5+B D&3, ) ()7 K )T 3 K VK +U VK 99/ / /4 "!K ")58S (6) ) ()7 ()!$ +U VK 3 K VK K W )T
14 7 7 ",() D2? n# MB H* Y) b.9x (7)? =e %.% <A D2) c < PC D2? P B 8) c < PC L 3 K VK K " N 5+B D&3, ) 5TXQ (7) ) 7I `#+,0 ] ^I_ 0/5 W \ ] ^I_ 0/062 Z AI[3-2 ) /56 v* #7. 7 ( l 7 C % <A (7)? T)# P B D2) c PC D2? n# MB D2) c < 3 H*. H* =) >C D2) c3h* % % DIF #) H%C NQ : D N jb -3/35)]=D v* =< 3 H*P[(D? :(2 7) #) H%C 0/083< PC +0/76D2?+ PC D2? P B n# % % DIF #) H%C 479 C \< % (-2) b.d lj NQ Of7 :#2j < < "#)h (-2) b C D278002/554 #) H%C D; "#)h b!? 2 b =).) D 3/398 b "C < PC D;.D2 < 3 H* % % DIF < <A.D D2? :>$B (ICC ) H* R) %Q %<A () 3 K " D#E (ICC) K,bI "!a 390 7I. Item Characteristic Curve
15 49... (DTF) (DIF) 2 q? DN2 (df D2?) C 479 () C \< % v* #A #7 ()B w o (?) )B % ) 7 B =) ~> R 2 #N DIF ^!=e %. H* D. bb z PG (S 2 C 0/000 # C H* % % DIF % < PQB >) #N DIF PQB T)# ) >C%<%H* ) D DN2 < c %< %H* X!( LRT 3 <!P>0/05) <A % % DIF!) D DN2 < c! }27 %c %< < Š C( LRT >4!P<0/05). 479 (8)? (0/05 t ) < ( % ^B 5234 "!L "! "F, "! DIF "!K )T )2 (8) ). < M# ( % M# <. B. B. B. B. B c/n\ 4/00 7 6/ / / / ) 8) 4/69 7/ / / / 5 :)( 3/57 4/ 75 7/ 4 6 / / 29 5 / 43 4 :)( 6/8 4/5 7/ D2) l5 7/86 6/ 25 4/ / jb 5/83 5/ 83 4/ / / / 33 4 l5 2 2/92 7/ 5 2/ ~ % %. Focal 2. References 3. Item Characteristic
16 7 7 ",() < M# ( % M# <. B. B. B. B. B c/n\ DG9X 7/5 / )B 2jB 23/75 4/ DG9X A) 2/4 2/ 4 8/ / / / h < ;B < 4/32 8/ 82 2/ 74 2/ 90 2/ 7 }27 M#. <A df ) Cf Y? 5 DIF %. B ( (9)?.% "! ^B H0 G 5+O DIF "! )T )2 (9) ) "F, "F, "! )T )2 )T )2 )T )2 )T )2 )T )2 /L /+S (, 2/50 / Cf 8) /50 5/ df 6/ 2/ 75 3/ / 5 Cf 8) :)( /67 5/ 25 8/ / df :)( 7/86 2/ 75 2/ 86 / / 7 2 / 43 4 Cf 5/72 2 4/ / df 7/50 3/ Cf D2) 7 3/ df l5 3/57 4/ 75 2/ 86 4/ / Cf jb 4/29 / 50 / / df 2/50 3/ / / / 33 4 Cf l5 3/ / df 2 3/38 6/ / 67 2 Cf 5 ~ % 4/7 / 25 3/ / 33 df %
17 5... (DTF) (DIF) "F, "! )T )2 )T )2 )T )2 )T )2 )T )2 /L /+S (, 2/50 0/ Cf DG9X )B df 2jB Cf DG9X 23/75 4/ df A) 7/86 5/ 50 5/ 7 4 4/ / / 86 9 Cf 2h < < 4/29 3 4/ / 4 5 5/ df ;B!:)( 8) 479 (9 8) %? C \< % 88 % DN % df Y? 5 DIF %H* Š 8) c df Y? 5 DIF Š C D 7 =).D #A 89 % ) DN2 87 :)( < DIF %H* Š.D aa #A C Cf Y? 5 DIF %H* C 7!D # C < ( DIF %H*. =)#A DN2 90 :)( <!95.D Y? 5 DIF %H* Š C \!D Cf df Y? % 5 DIF %H*!:)( 8) <.D #A C df :)( < C C %A<BM# \.D Cf Y? 5 #A C #A DIF %H* %c ) 2)b =) :)( 8) %< DIF %H*.D. 479 (2)
18 7 7 ",() ٢۵ ٢٠ ١۵ ١٠ ۵ 8) :)( ٠ DIF _I (, 5234 "! DIF " "!K )T df Y? DN2 D2) < %H* X!jB l5 N ( =) c.d DIF Cf Y? DN2 X M# \ < DIF %H* Š! :)( 8) DIF %H* Š %<A (3).D #A D2) c.d jb l5 %c ٢۵ ٢٠ ١۵ ١٠ ۵ D2) ٠ & N+O (, 5234 "!L DIF "!K )T
19 53... (DTF) (DIF) DIF %H* C % <A 2 l5 < PQB H)( 90 B 87 a Š C 7!C P 5 df Y? q$. 479 (4) =S.D ٢۵ ٢٠ ١۵ ١٠ ۵ ٠ ٨٧ ٨٨ ٨٩ ٩٠ 00 N+O (, DIF "!K )T C }BB =)!D % < =)#A C % <A (4) )B DG9X % 5 ~ %c DIF %H* Š =)# C DIF %H* Š =)#A 7 =5? (. 7/50) 2jB =).D A) DG9X c < = % ( (. 23/75).C P 5 df Y? 5 DIF %H* aa \ c ۴٠ ٣۵ ٣٠ ٢۵ ٢٠ ١۵ ١٠ ۵ ٠ ٨٧ ٨٨ ٨٩ ٩٠! (, 66Z "! % 5 ~ )B DG9X 2jB A) DG9X DIF " "! c0
20 7 7 ",() =)# C < ;B < < C%<A(6) lj 90 B 88 DIF %H* Š C 7!D DIF %H* Š.D # ( ٢٠ ١۵ ١٠ ۵ 2h < ;B ٠ ٨٧ ٨٨ ٨٩ ٩٠ (, 66Z DIF "!K c0 (?!< ;B < c C ) <B (9)? =e % %H* X % )!C P 5 Cf Y? 5 %H* C 87.C P 5 Cf Y? 5 X df Y? 5 DIF A) DG9X c < z C <A DTF PQB T)#!lj )b C \!#2% #2? DTF G %< )!% z 0/06 # C a NQ udtf )b sdtf x G A) DG9X < #2? DTF %<A (7).(P>0/05).D! (, $I@0 XQ L " DTF
21 55... (DTF) (DIF) =3/34 sdtf=-3/2 P A) DG9X < DTF NQ )b q? lx 3 7 < =) C%<A (7).D udtf D2? MNB DTF N $. =).C \ (Cf Y?) ) (7) C \< % =e %.(P<0/0) A) DG9X < Y? DN2 A) DG9X < )B w 2 o!. %A t < B=)* )B =) = df NQ. 6 DTF b =) # ^ b #N. ) «"C» 7 <e % ",5&0 Ha?!D )f*[#?!cbm( %< DIF %H*? =).(2006!) D2 < %H* s( DIF %H* c >C D < %H* DIF PQB!? DIF? ) ud 8 2 (% n# =)B <5) D2? ^{B <2* <#X < < $ $. D2? MNB H%C D2? #N H)( < C % DG f.% %H*. 4 7 C \ C % <A H%R* =) %#) DIF 90 B 87 % >C ;B %< C Š.#2% (S 2 %H* =) NQ DIF #N.#2% (2008) =) %#) sn)bb < DIF %H* > DG9X c < z =e %. ; % (2007) hc < 7! #2? DTF < %< )!% A) Š =)!C \. ) «"C» ( c =) < DTF C #2? N ha ) 7 B B DTF DIF R). >C %< s( D2? MNB DTF/ DIF C \< % D lw DTF/ DIF? < H* )!D2 #2?
22 7 7 ",() N ) )a 6G =).(999! N) D2 C %# C =). P>AB 58 ;B %# C!D2? MNB c < #2) >C %c <# <;# =B 2 B 6 P Hj -;# :) N% C < <;# P (;B #2? 6G. %. D)% %H* DIF ^ DIF y %#)? < %H* #2) jb xb <( 4 C < %H* #Q YZ < I8 <;# < < ) <2* <#X. %~9 >) <5 A%R* A* lj D G G.D G <;# 4 < %H* 6G >C % A) DG9X c < DTF DIF _ \ c DIF C % S# 203 H*!390 :D o ).! Cf.D e 2* :) i(! <# #2 " =) -203 <? D N\ (4 r$b :) (3 ~X (2 $ ( <;# "5) Cf I8 <;# $C %6G c C Š -;AB T)#. df Y? 5 ( ) < I8 %# C 6G ;B %c DIF %H*. 479 (0)? "!5@ d 5 66Z "!L e_ f6z DIF "!K ", c0 (0) ) )T "F, "! )T )2 )T )2 )T )2 )T )2 )T )2 (, L /+S (, 2/73 / 5 3/ / 82 5/ ) 8) 2/68 3/89 / 75 6/ / 22 4/ / 22 :)( :)( /43 0/ 5 2/ / /68 2/ 50 / D2). Zumbo
23 57... (DTF) (DIF) )T "F, "! )T )2 )T )2 )T )2 )T )2 )T )2 (, L /+S (, 2/ / 7 2 2/ 86 2/ 86 l5 jb /67 / 67 0/ 5 3/ 33 3/ l ~ % / DG9X )B 2jB % XQ $I@0 2/4 2/ 4 / 5 / 43 / 43 2/ / h < ;B < 2/22 2/ 99 / 97 / 88 2/ 04 }27 M#. %# C 6G c! 479 (0)? C \< % %< DIF %H*. 2 7 M# \ ;B (S :SC 2 ^ %?B C >C #A %H*!:)( 8).D?B PG! D C v* NQ C )%H* 4.C P 5 Cf Y? q$ j# =).C P 5 Cf Y? q$! #A P7 )a (992) Y)% <#C (2006) =)!(987) C P# %#) < v* C )%H* C j# =) ( a! ; % a.c P 5 #X < H 8!D # %N% H q$ (? ) %H* C j# =) =e % -;AB %H* Š =e %.C P 5 Cf < :)( 8) [;# %c ) DN2 c < )#Q P)w! (%< % H* 2aB C \!D # C
24 7 7 ",() %H* Š C 7 =).# df Y? DN2!Cfr. #A c Cf Y? 5 DIF =) h) (0)? -;AB %H* Š =e % 2 l5 jb l5 % };# %c %H* C D %H* =) )h;* C 4.C P 5 df Y? q$ #A %#) 7 B j# =). ) 47 #A h#2 <A C ; % )%H%R* #) =) =e %. ; % (2008) [#?! Y)B "%$ ) C )%H* df <H % #a > 5.!j "%$?B AS >$B.(993! 3 <#C Y)% 994! 2 2 Cw u998! Cw)!<;# # C 6G c! 479 (0)? C \< % % 2jB )B DG9X % 5 ~ %c %< %H*!A) DG9X c <.A D) H* % =) <NX # C $C 4 c.c P 5 df Y? 5 #Q C =) B < =) DTF DIF #7 P! Cf Y? [jb #A!< =) C \ c =) %H* Bc!Cf Y? H* D C =)!D }#.D * PG #A a G jb < %<A!2h < c <;# # C QB %#)!lj df Y? q$ #A 5 #? l5 #Q C %H* C P 5 Cf Y? q$ #A D; l5 #Q C %H*. ; % (204) 4 h 5!<) %#) j# =).C (993) 5 :*: P (992) Y)% <#C %#) j# =) =e % %H* C j# =) ( a C ; % Da? =).C P 5 df Y? q$ 5(# "%$. Gallagher 2. Gallagher & DeLisi 3. Harries & Carlton 4. Amirian, Alavi & Fidalgo 5. O'Neill & McPeek
25 59... (DTF) (DIF) MNB DTF DIF C %Dw 87 %#) =). AC i Hj < >C D2? D 59\ >C % > 5 D2? ^{B Cf ) df Y? DN2 D => C )%H* )#Q %R) = B =). -;A!C P 5 ((S "C X <( #7) $z %R) = B a <( DTF %< DIF %H* Š xbq!87 H%R* C D )%O%?! %H* )#Q. 59\ =# 4 < C aa* ) %H%R* )#Q Q s. >C %H*!D2? MNB DIF y!h%r* =) %#) P.7 T)# <NX MB $C. >) =S (990) TB H%!ah. 2)b DG9X < ab C <A H%R* %#) =e %.D C aa* DIF. DTF!D DIF %H* Š =)#A C A) D # lj < DTF DIF jb =)S S? - C D2 -;A %!(2003!N u2000! 2 j)#c wcb) =S >) C!D < DIF %H* CB ^{B < DTF < <B %! %A. 87 )* PQB t DIF n P DIF %H* < -2 ) " B DTF!DIF %H* -3 >) ) % <A DTF!< < C aa* =).D Pb#2 DTF DIF )!% <A N % (DTF) < G# HC < DIF %H*? C 4!#A % "j7 >C jb %.! >C % PQB. Engelhard, Hansche & Rutledge 2. Takala & Kaftandjieva
26 7 7 ",() P # >C wf j< %R).(39) NC!> C <)*.(IRT) v* F kb jb l5.(c <ab 7 9 ha! $# n? # C <.(39)! C <)*.< #2? = B )? %.)N\N\ 95 ha! c < j< %R).(394) 5!CB ha! C <)*.IRT )(S c D2).X qb <)ja QB DA* ^F P5.(392) N#j!NN7 )N#5 :>C B c < H* C!l5!A%R* o\.#aa a ha >C B. bbqb QB #(DIF) wf G# CC.(394)!D79 < (IRT) v*-f )4 C 93 #C (C # <.)N\N\ 95 ha! C <)*.:#2j l5 %)4 C 4 N.(393) 2!*. 5 < B A# :<ab.# HC %i.(392) 8 Q!R$2 2!* a? A# :<ab.d %< (DIF) F G#." DB 7!%hA )(S wf )B DG 2)b.(387) a!! C <)*.S v* -F % C.)N\N\ 95 ha < :)( H; j< %R) 2)b.(394) Q! C <)*.IRT % c ha.x ha!
27 6... (DTF) (DIF) %F G# CC PQB )f* 2)b Hj.(392) n.!) H = 2007 ( B "#A% )* l5 < (DTF) %~ (DIF).46-09!() 4!#B.>) <) <. =) c >C wf b.(393)!@jr.53-48!26!9 O i Amirian, S. M.R.; Alavi, S. M. & Fidalgo, A. M. (204). Analyzing Gender Differences with an English Proficiency Test in EFL Context. Iranian Journal of Language Testing. Aryadoust, V.; Goh, C. C. M. & Kim, L. O. (20). An investigation of differential item functioning in the MELAB listening test. Language Assessment Quarterly, 8 (4), Barati, H. & Ahmadi, A. R. (200). Gender-based DIF across the subject area: A study of the Iranian National University Entrance Exam. The Journal of Teaching Language Skills (JTLS), 2 (3), Berberoglu, G. (995). Differential item functioning (DIF) analysis of computation, word problem and geometry questions across gender and SES groups. Studies in Educational Evaluation, 2 (4), Breland, H.; Lee, Y. W.; Najarian, M. & Muraki, E. (2004). An analysis of the TOEFL CBT writing prompt difficulty and comparability of different gender groups (TOEFL Research Report No. 76). Princeton, NJ: Educational Testing Service. Brown, I. & Kanyongo, Y. (2007). Differential Item Functioning and male-female differences in a large-scale mathematics assessment in Trinidad and Tobago. Caribbean Curriculum, 4, Carlton, S. T. & Harris, A. M. (992). Characteristics associated with differential item functioning on the Scholastic Aptitude Test: Gender and majority/minority group comparisons. Princeton, NJ: Educational Testing Service. Chalmers, R. P.; Counsell, A. & Flora, D. B. (205). It might not make a big DIF: Improved. Differential Test Functioning statistics that account for sampling variability. Educational and Psychological Measurement, -27. Doolittle, A. E. & Cleary, T. A. (987). Gender-based differential item performance in mathematics achievement items. Journal of Educational Measurement, 24, Doudeen, Hamzah M. & Annabi, Hanan A. (2008). Sex-Related Differential Item Functioning (DIF) Analysis of TIMSS. Dirasat, Educational Sciences, Vol. 35.
28 7 7 ",() Drasgow, F. (984). Scrutinizing psychological tests: Measurement equivalence and equivalent relations with external variables are central issues. Psychological Bulletin, 95, Drasgow, F. (987). Study of the measurement bias of two standardized psychological tests. Journal of Applied Psychology, 72, Embretson, S. E. & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum Associates. Engelhard, G.; Hansche, L. & Rutledge, K. (990). Accuracy of bias review judges in identifying differential item functioning on teacher certification tests. Applied Measurement in Education, 3, Ethington. A. (990). Gender differences in mathematics: An international perspective. Journal for Research in Mathematics Education. 2 (), Fennema. E (980). Sex-related differences in mathematics achievement: Where and why. In Fox, L. H.; Brody, L. & Tobin, D. (Eds.). Women and the mathematic mystique, (pp ). Baltimore: Johns Hopkins University Press. Fennema. E. & Carpenter. T. P. (98). Sex-related differences in mathematics: Results from national assessment. Mathematics Teacher. 74, Finch, H. & Habing, B. (2007). Performance of DIMTEST- and NOHARM based statistics for testing unidimensionality. Applied Psychological Measurement, 3, Flora, D., Curran, P., Hussong, A., & Edwards, M. (2008). Incorporating measurement Nonequivalence in a cross-study latent growth curve analysis. Structural Equation Modeling, 5, Fraser, C., & McDonald, R. P. (988). NOHARM: Least squares item factor analysis. Multivariate Behavioral Research, 23, Gallagher, A. (998). Gender and antecedents of performance in mathematics testing. Teachers College Record, 00 (2), Gallagher, A. M., & DeLisi, R. (994). Gender differences in scholastic aptitude tests mathematics problem solving among highability students. Journal of Educational Psychology, 86, Hanna. G. (989). Mathematics achievement of girls and boys in grade eight: Results from twenty countries. Educational Studies in Mathematics, 20, Harries, A. & Carlton, S. (993). Patterns of gender difference on mathematics items on the scholastic aptitude test. Applied Measurement in Education, 6 (2), Husen, T. (967). International study of achievement in mathematics: A comparison of twelve countries. Vol.. Stockholm: Almqvist & Wiksell.
29 63... (DTF) (DIF) Innabi, H., & Dodeen, H. (2006). Content Analysis of Gender-related Differential Item Functioning of TIMSS Items in Mathematics in Jordan. School Science and Mathematics, 06 (8), Le, Luc T. (2006). Investigating gender differential item functioning across Countries and Test Languages for PISA science items. International Journal of Testing, 9, 2, O'Neill, K. A. & McPeek, W. M. (993). Item and test characteristics that are associated with differential item functioning. In Holland, P. W. & Wainer, H. (Eds.), Differential item functioning, (pp ). Hillsdale, N J: Lawrence Earlbaum. Pae, H. K. (20). Differential item functioning and unidimensionality in the Pearson Test of English Academic. Pae, T. & Park, G. P. (2006). Examining the relationship between differential item functioning and differential test functioning. Language testing, 23 (4), Park, G. P. (2008). Differential item functioning on an English listening test across gender. TESOL Quarterly, 42 (), Pattison. P. & Grieve, N. (984). Do spatial skills contribute to sex differences in different types of mathematical problems? Journal of Educational Psychology, 76 (4) Raju, N. S.; van der Linden, W. J. & Fleer, P. F. (995). IRT-based internal measures of differential functioning of items and tests. Applied Psychological Measurement, 9, Rudner, L.; Getson, P. & Knight, D. (980). Biased item detection techniques. Journal of Educational Statistics, 5, Russell, S. S. (2005). Estimates of Type I error and power for indices of differential bundle and test functioning. Ph.D. dissertation, Bowling Green State University, United States -- Ohio. Takala, S. & Kaftandjieva, F. (2000). Test fairness: A DIF analysis of an L2 vocabulary test. Language Testing, 7, Wang, N. & Lane, S. (996). Detection of gender-related differential item functioning in a mathematics performance assessment. Applied Measurement in Education, 9 (2), Wood, R. (976). Sex differences in mathematics attainment at GCE ordinary level. Educational Studies, Zumbo, B. D. (999). A Handbook on the Theory and Methods of Differential Item Functioning (DIF): Logistic Regression Modeling as a Unitary Framework for Binary and Likert-Type (Ordinal) Item Scores. Ottawa, ON: Directorate of Human Resources Research and Evaluation, Department of National Defense. Zumbo, B. (2003). Does item-level DIF manifest itself in scale-level analysis? Implications for translating language tests. Language Testing, 20,
30
Because it might not make a big DIF: Assessing differential test functioning
Because it might not make a big DIF: Assessing differential test functioning David B. Flora R. Philip Chalmers Alyssa Counsell Department of Psychology, Quantitative Methods Area Differential item functioning
More informationComparison of parametric and nonparametric item response techniques in determining differential item functioning in polytomous scale
American Journal of Theoretical and Applied Statistics 2014; 3(2): 31-38 Published online March 20, 2014 (http://www.sciencepublishinggroup.com/j/ajtas) doi: 10.11648/j.ajtas.20140302.11 Comparison of
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More informationCataraqui Source Protection Area. Context. Figure 1-1 % % %Ð %Ú. rrca. rvca. mvca. snca. cvca. qca. crca. oca. ltrca. Lake Ontario.
% Cx % Nhmb H c cc c T % % % fw qc % Twd E %{ F x d Ap % C P mc Ud C f G cc Smh F c Kmp %Ú Ud C f Pc %É Ud C f m D G c Pc %w c Nh F 1-1 C Tw C Ah Cq Cw V w T Mpp V b Q d V Sh N Cd A, 5 d Fb, Pd Dcmb 1,
More informationpage 1 Total ( )
A B C D E F Costs budget of [Claimant / Defendant] dated [ ] Estimated page 1 Work done / to be done Pre-action Disbs ( ) Time ( ) Disbs ( ) Time ( ) Total ( ) 1 Issue /statements of case 0.00 0.00 CMC
More informationSynchronous Machine Modeling
ECE 53 Session ; Page / Fall 07 Synchronous Machine Moeling Reference θ Quarature Axis B C Direct Axis Q G F D A F G Q A D C B Transient Moel for a Synchronous Machine Generator Convention ECE 53 Session
More informationInformation furnished in conformity with the Convention on Registration of Objects Launched into Outer Space
United Nations Secretariat Distr.: General 29 March 2000 Original: English Committee on the Peaceful Uses of Outer Space Information furnished in conformity with the Convention on Registration of Objects
More informationExaminations Booklet
Examinations Booklet Principal: Mr I Frost Tel. No: [01454] 866538/9 Fax. No: [01454] 866541 Email: principal@kingsoakacademy.org.uk Website: www.kingsoakacademy.org.uk In pursuit of excellence In 2012
More informationVECTORS ADDITIONS OF VECTORS
VECTORS 1. ADDITION OF VECTORS. SCALAR PRODUCT OF VECTORS 3. VECTOR PRODUCT OF VECTORS 4. SCALAR TRIPLE PRODUCT 5. VECTOR TRIPLE PRODUCT 6. PRODUCT OF FOUR VECTORS ADDITIONS OF VECTORS Definitions and
More informationto Highbury via Massey University, Constellation Station, Smales Farm Station, Akoranga Station and Northcote
b v Nc, g, F, C Uv Hgb p (p 4030) F g (p 4063) F (p 3353) L D (p 3848) 6.00 6.0 6.2 6.20 6.30 6.45 6.50 6.30 6.40 6.42 6.50 7.00 7.5 7.20 7.00 7.0 7.2 7.20 7.30 7.45 7.50 7.30 7.40 7.42 7.50 8.00 8.5 8.20
More informationTHE TRANSLATION PLANES OF ORDER 49 AND THEIR AUTOMORPHISM GROUPS
MATHEMATICS OF COMPUTATION Volume 67, Number 223, July 1998, Pages 1207 1224 S 0025-5718(98)00961-2 THE TRANSLATION PLANES OF ORDER 49 AND THEIR AUTOMORPHISM GROUPS C. CHARNES AND U. DEMPWOLFF Abstract.
More informationInferential Conditions in the Statistical Detection of Measurement Bias
Inferential Conditions in the Statistical Detection of Measurement Bias Roger E. Millsap, Baruch College, City University of New York William Meredith, University of California, Berkeley Measurement bias
More informationNACC Uniform Data Set (UDS) FTLD Module
NACC Uniform Data Set (UDS) FTLD Module Data Template For Initial Visit Packet Version 2.0, January 2012 Copyright 2013 University of Washington Created and published by the FTLD work group of the ADC
More informationNACC Uniform Data Set (UDS) FTLD Module
NACC Uniform Data Set (UDS) FTLD Module Data Template For FOLLOW-UP Visit Packet Version 2.0, January 2012 Copyright 2013 University of Washington Created and published by the FTLD work group of the ADC
More informationLOWELL STORES SERVE THRONGS OF LOV PEOPLE ON FRIDAY NIGHT
J p M 879 61 p 260 M G W j p : b p pp M M K p b J M G * p P p b p p D W P p b G 14 b p qp j b p p p J p z M- K W W G Gbb Wb M J W W K G J D D b b P P M p p b p p b b p J W ; p jb b p x b p p b b W Pp pp
More informationSupporting Information. Organocatalytic Synthesis of 4-Aryl-1,2,3,4-tetrahydropyridines from. Morita-Baylis-Hillman Carbonates through a One-Pot
Supporting Information Organocatalytic Synthesis of 4-Aryl-1,2,3,4-tetrahydropyridines from Morita-Baylis-Hillman Carbonates through a One-Pot Three-Component Cyclization Jian Wei, Yuntong Li, Cheng Tao,
More informationFlint Ward 1 !( 1. Voting Precinct Map «13 «15 «10. Legend. Precinct Number. Precinct Boundaries. Streets. Hydrography. Date: 1/18/2017.
T c K Tb K p b b F H O N F H ff ff p V H G F Y 2 Rx G J J Kcbc T H F H p p p p H Hb Gc O R IOOO RTENT V Jc K Ox F Hb Ox F G x R b 6 1 R F R b c j p G E F 1 R p bb G H Gc Y Hb 2 F 3 4 b R K K V R H p Rbb
More informationWhats beyond Concerto: An introduction to the R package catr. Session 4: Overview of polytomous IRT models
Whats beyond Concerto: An introduction to the R package catr Session 4: Overview of polytomous IRT models The Psychometrics Centre, Cambridge, June 10th, 2014 2 Outline: 1. Introduction 2. General notations
More informationPIRLS 2016 Achievement Scaling Methodology 1
CHAPTER 11 PIRLS 2016 Achievement Scaling Methodology 1 The PIRLS approach to scaling the achievement data, based on item response theory (IRT) scaling with marginal estimation, was developed originally
More informationand A L T O SOLO LOWELL, MICHIGAN, THURSDAY, J U N E Farm Necessities Off State Sales Tax list Now Exempt
H DG N Bg G HN H ND H NG g g g g Yg x x g g gg k B g g g g g g g g g g x g g g k g g g k gg g x g z g g g g k k g g g g k XY- DN H GN DP N PG P D HN DN NPNG D- H HGN HDY N 3 935 Y - H D Y X 93 D B N H
More informationLibra Malpass A W v e enue stern 4th Floor Legal and Map Collections Lo Legal unge A-DA Emergency Exit Eme rg ency Exit Illinois Collection and Eme
Malpass Library 4th Floor Western Avenue A-DA Legal Lounge Legal and Map Collections Illinois Collection and Federal Collection A-C 3 Government and Legal Reference Offices Federal Collection C 4-Y 4th
More informationarxiv: v1 [math.gm] 29 Sep 2012
Some Remarkable Concurrences in the Quadrilateral arxiv:1210.0078v1 [math.gm] 29 Sep 2012 Andrei S. Cozma Abstract. We study some properties of quadrilaterals concerning concurrence of lines under few
More informationA Study of Statistical Power and Type I Errors in Testing a Factor Analytic. Model for Group Differences in Regression Intercepts
A Study of Statistical Power and Type I Errors in Testing a Factor Analytic Model for Group Differences in Regression Intercepts by Margarita Olivera Aguilar A Thesis Presented in Partial Fulfillment of
More informationSolutionbank M1 Edexcel AS and A Level Modular Mathematics
file://c:\users\buba\kaz\ouba\m_6_a_.html Page of Exercise A, Question A bird flies 5 km due north and then 7 km due east. How far is the bird from its original position, and in what direction? d = \ 5
More informationMathematics Revision Guides Vectors Page 1 of 19 Author: Mark Kudlowski M.K. HOME TUITION. Mathematics Revision Guides Level: GCSE Higher Tier VECTORS
Mathematics Revision Guides Vectors Page of 9 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Higher Tier VECTORS Version:.4 Date: 05-0-05 Mathematics Revision Guides Vectors Page of 9 VECTORS
More informationHeroes. of the New Testament. Creative. Communications. Sample
H f h Nw T c My Dd y kw h y h? Y, y. Y h bc h hw Gd d y. Gd cd y h w g. Gd gd. Gd hy. Gd. Gd cd y b h hg. Wh y d hg h gd, hy g, y g h hc f Gd w f y. Af J, h g h h wh wd f-y-d g. Th gh. My w ch d h y wh
More information26th Feb To 16th Apr 2017
ST EUPHRASIA SYRO-MALABAR PARISH ADELAIDE NORTH PARISH TEAM Rv F Bj J Cck [P P] M J & J M 26 Fb T 16 A 2017 B V1 I 1 S f L D 16 A 2017 W c c b f x f L f v, f g c g g g f [Kkk] j f f J P K MASS TIMES [Cc
More informationVectors - Applications to Problem Solving
BERKELEY MATH CIRCLE 00-003 Vectors - Applications to Problem Solving Zvezdelina Stankova Mills College& UC Berkeley 1. Well-known Facts (1) Let A 1 and B 1 be the midpoints of the sides BC and AC of ABC.
More informationItem Response Theory (IRT) Analysis of Item Sets
University of Connecticut DigitalCommons@UConn NERA Conference Proceedings 2011 Northeastern Educational Research Association (NERA) Annual Conference Fall 10-21-2011 Item Response Theory (IRT) Analysis
More informationCH 61 USING THE GCF IN EQUATIONS AND FORMULAS
CH 61 USING THE GCF IN EQUATIONS AND FORMULAS Introduction A while back we studied the Quadratic Formula and used it to solve quadratic equations such as x 5x + 6 = 0; we were also able to solve rectangle
More informationRodless cylinders Series 1600
Rodless cylinders Series 00 Basic version 0.Ø.stroke.0.M Max. stroke mt.) AL AI RA RB AF TC AM L LA+stroke AH TD AE TA RV Possibility of a single feed cylinder head AI AP AB AC AD TD TE TB AG RT Left head
More informationA Comparison of Linear and Nonlinear Factor Analysis in Examining the Effect of a Calculator Accommodation on Math Performance
University of Connecticut DigitalCommons@UConn NERA Conference Proceedings 2010 Northeastern Educational Research Association (NERA) Annual Conference Fall 10-20-2010 A Comparison of Linear and Nonlinear
More informationConditional Probability
Test 1 Results You will get back your test 1 papers on Friday. There is a generous nonlinear curve of the scores: if x is your raw score, your grade out of 100 can be computed as 100x x x = 10 44 = 50
More informationY'* C 0!),.1 / ; ')/ Y 0!)& 1 0R NK& A Y'. 1 ^. ]'Q 1 I1 )H ;". D* 1 = Z)& ^. H N[Qt C =
(-) 393 F!/ $5 $% T K&L =>-? J (&A )/>2 I B!" GH 393/05/07 :K 393/07/23 :7b +B 0 )NO M / Y'* C a23 N/ * = = Z)& ^. ;$ 0'* Y'2 8 OI 53 = ;" ~" O* Y.b ;" ; ')/ Y'* C 0!),. / ; ')/ Y 0!)& 0R NK& A Y'. ^.
More informationU a C o & I & I b t - - -, _...
U C & I &,.. - -, -, 4 - -,-. -... -., -. -- -.. - - -. - -. - -.- - - - - - -.- - -. - - - -, - - - - I b j - - -, _....... . B N y y M N K y q S N I y d U d.. C y - T W A I C Iy d I d CWW W ~ d ( b y
More informationMade-to-measure malaria vector control strategies: rational design based on insecticide properties and coverage of blood resources for mosquitoes
J v DF. Fy f DF f x (HL) v w b vb. -- v g: g b vg f b f q J 2014, 13:146 :10.1186/1475-2875-13-146 Gy F K (gk@..z) k y (k@y.) J Gg (zg@.gv) Jf C v (jy.v@.g) C J Dky (.ky@..k) k C (k.@b.) 1475-2875 y vw
More information6. Show appropriate working in its correct place. Full marks will not necessarily be given for answers only.
Mathematics Exam Grade Paper eptember 06 3 hours 50 marks Instructions. This paper consists of questions. Answer all questions.. A booklet containing Diagram heets, Answer heets and an Information heet
More informationColby College Catalogue
Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1866 Colby College Catalogue 1866-1867 Colby College Follow this and additional works at: http://digitalcommons.colby.edu/catalogs
More informationUpper Bounds of Dynamic Chromatic Number
Upper Bounds of Dynamic Chromatic Number Hong-Jian Lai, Bruce Montgomery and Hoifung Poon Department of Mathematics West Virginia University, Morgantown, WV 26506-6310 June 22, 2000 Abstract A proper vertex
More informationIIOCTAHOBJIEHILN. 3AKOHOITATEJIbHOEc oe pahiie riejtfl Br,rHc Kofr on[q.c ru ]s. llpe4ce4arenr 3 arono4are,rbuoro Co6paurax B.B.
KTTJbc p Jf Bc Kf n[q.c u CTBJL 20.12.2018 ] {nx6nnc 170 J KnpKTbx p6 nb C1pu 9g 6unc
More informationHelp us transform the Central Suburbs bus network Tell us what you think
Hv F p p 1 p 2 p 3 b pp cg p f vc pg 5 6 Cc f vc f pg 3 T v: Fp fbc f pg 8, fbc f AT.gv.z/NN c f AT.gv.z/NN? C v ( pg 4) c (09) 366 6400. Hp f C Sbb b T Fbc p f 1 Ocb 10 Dcb 2015 vg pbc p f Ac f fg Ac
More informationSHENFIELD HIGH SCHOOL EXAMINATION RESULTS 2011 AND OTHER STATUTORY INFORMATION
SHENFIELD HIGH SCHOOL EXAMINATION RESULTS 2011 AND OTHER STATUTORY INFORMATION SEPTEMBER 2011 Examination Results 2011 A Level and AS Level Students usually take 4 AS level subjects or a BTEC National
More informationThe Factor Analytic Method for Item Calibration under Item Response Theory: A Comparison Study Using Simulated Data
Int. Statistical Inst.: Proc. 58th World Statistical Congress, 20, Dublin (Session CPS008) p.6049 The Factor Analytic Method for Item Calibration under Item Response Theory: A Comparison Study Using Simulated
More informationHanoi Open Mathematical Competition 2016
Hanoi Open Mathematical Competition 2016 Junior Section Saturday, 12 March 2016 08h30-11h30 Question 1. If then m is equal to 2016 = 2 5 + 2 6 + + 2 m, (A): 8 (B): 9 (C): 10 (D): 11 (E): None of the above.
More informationUCLA Department of Statistics Papers
UCLA Department of Statistics Papers Title Can Interval-level Scores be Obtained from Binary Responses? Permalink https://escholarship.org/uc/item/6vg0z0m0 Author Peter M. Bentler Publication Date 2011-10-25
More informationards tifferkuiitat ED C BOWE House and Sign Painter Paper Hancr etc Silr Xo 1W King Slrset Ilonolnln S VJI JOIBS Morolaant Tailor
RR R FD5 D b70 z x 25 27 b p b b pp g p p p b p b b p b p b 3 p p N b x p p b p 6 F R 2g g b p ppg g p b gg p 270 Z p 0 p g p p p b R 60 g pb 25 p bg p pp p g g g g xpg p 6 b b pp g g g p g p p g p p b
More informationCenter for Advanced Studies in Measurement and Assessment. CASMA Research Report
Center for Advanced Studies in Measurement and Assessment CASMA Research Report Number 31 Assessing Equating Results Based on First-order and Second-order Equity Eunjung Lee, Won-Chan Lee, Robert L. Brennan
More informationSTRAIGHT LINES EXERCISE - 3
STRAIGHT LINES EXERCISE - 3 Q. D C (3,4) E A(, ) Mid point of A, C is B 3 E, Point D rotation of point C(3, 4) by angle 90 o about E. 3 o 3 3 i4 cis90 i 5i 3 i i 5 i 5 D, point E mid point of B & D. So
More informationParts List, Wiring Diagrams
Parts List, Wiring Diagrams PAE180-300 SERIES PACKAGE AIR CONDITIONER UNITS TABLE OF CONTENTS PARTS LIST----------- 2-11 PARTS DRAWING----- 12-34 WIRING DIAGRAMS--- 35-48 Printed in U.S.A. 7/28/08 KEY
More informationOUR SAVIOR LUTHERAN CHURCH
OUR SAVIOR LUTHERAN CHURCH Pg Pp C gb dg bk fd gbg gc c gd ck pc p b cwk b fd cc cp dkck b pf d p c f py dg w y d c cqc d pw ck d fcy wk cc p d b y dy f c cy cd cc pb fc d j wy g p p bd y p wf d pc fw
More informationRunning head: LOGISTIC REGRESSION FOR DIF DETECTION. Regression Procedure for DIF Detection. Michael G. Jodoin and Mark J. Gierl
Logistic Regression for DIF Detection 1 Running head: LOGISTIC REGRESSION FOR DIF DETECTION Evaluating Type I Error and Power Using an Effect Size Measure with the Logistic Regression Procedure for DIF
More informationMultidimensional Linking for Tests with Mixed Item Types
Journal of Educational Measurement Summer 2009, Vol. 46, No. 2, pp. 177 197 Multidimensional Linking for Tests with Mixed Item Types Lihua Yao 1 Defense Manpower Data Center Keith Boughton CTB/McGraw-Hill
More informationAugust 30, 2013 Volume 85 Issue 2 echo.snu.edu 6612 NW 42nd St. Bethany, OK (405)
B S B OKC w TE Ag 30, 2013 V 85 I 2 d 6612 NW 42d S B, OK 73008 (405) 491-6382 R f v j xd P b K Rb K Rb, Ed--f E, v d f bdg vg f d d b d d f Of, b f g j, d Bd j g w d d g, SNU d g- j w fw T w d vd bdg
More informationupon during the winter Porter Bik, cor. Monroe midnight, a r e deserted, save for those
U D D B P D D U D 878 x - z F D J x -- F D : U F < 8 U 8 F J U D D U D U D B P - J X X Z 3 8 9 6 P D J x 3 $88 73» $376; - $87; z $876 ( 3 : $888 z 9; - ; $ 9 7 6» - $37336; 6 P J 373 x P D - U J 3 P J
More informationNorm Referenced Test (NRT)
22 Norm Referenced Test (NRT) NRT Test Design In 2005, the MSA Mathematics tests included the TerraNova Mathematics Survey (TN) Form C at Grades 3, 4, 5, 7, and 8 and Form D at Grade 6. The MSA Grade 10
More informationdddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd :.*+%) #,- ) %&
96/10/03 : 96/03/16 : Journal of Educational Measurement & Evaluation Studies Vol. 8, No. 23, Autumn 2018 7-30 -. 1397 '() 23!" #$ : 1! )'( #$%&.*+%) #,- ) %& /$0 9$ 786' 5 " 2) 4!1 2$) 3$) >"? < =9$$
More informationSelma City Schools Curriculum Pacing Guide Grades Subject: Algebra II Effective Year:
Selma City Schools Curriculum Pacing Guide Grades 9-12 Subject: Algebra II Effective Year: 2013-14 Nine 1 Nine 2 Nine 3 Nine 4 X X Time CC COS QC Literacy DOK Lesson References/Activities Date Taught Test
More informationand Union One end Inseparable." LOWELL. MICHIGAN. WEDNESDAY. JUNE HUMPHBHT'S HOMEOPATHIC SPECIFICS
Y J B B BD Y DDY 8 B F B F x F D > q q j 8 8 J 4 8 8 24 B j 88 4 4 4 8 q 8 bb B 6 B q B b b b B 4 B D J B B b B
More informationas nonrigid Carnot groups
Th Th Th V 5 5 34 356 V V crcc 5 c5 5 Hdr 5 34 356 Vr 34 dh 356 crcc-c 5 Hdr c Vr d Cr r c d Cr r c r c c r c 5 B Hdr Wrhr B Wrhr Vr Ccd b G cr Ccd b cr Abrc G c cr W d rdc r c d Cr hch Abrc r W d Cr rdc
More information2.0 REGIONAL DRILLING ACTIVITY AND PRODUCTION
( S ) 2. 0REGI ONALDRI LLI NGACTI VI TY ANDPRODUCTI ON Nm C: 2-d d/3-d d/5-h df Exmp: 37027_OC12 (P B C Op Smp 12) F h w h f m d wh h API mb. Th d API mb/pj ID h fwd b h d f h f d whh h d fd. F dd f fm
More information( ) = ( ) ( ) = ( ) = + = = = ( ) Therefore: , where t. Note: If we start with the condition BM = tab, we will have BM = ( x + 2, y + 3, z 5)
Chapter Exercise a) AB OB OA ( xb xa, yb ya, zb za),,, 0, b) AB OB OA ( xb xa, yb ya, zb za) ( ), ( ),, 0, c) AB OB OA x x, y y, z z (, ( ), ) (,, ) ( ) B A B A B A ( ) d) AB OB OA ( xb xa, yb ya, zb za)
More informationSECURITIES AND EXCHANGE COMMISSION FORM 10-D. Filing Date: Period of Report: SEC Accession No
SECURITIES AND EXCHANGE COMMISSION FORM 10-D Periodic distribution reports by Asset-Backed issuers pursuant to Rule 13a-17 or 15d-17 Filing Date: 2007-12-06 Period of Report: 2007-11-26 SEC Accession No.
More informationVectors 1C. 6 k) = =0 = =17
Vectors C For each problem, calculate the vector product in the bracet first and then perform the scalar product on the answer. a b c= 3 0 4 =4i j 3 a.(b c=(5i+j.(4i j 3 =0 +3= b c a = 3 0 4 5 = 8i+3j+6
More informationEarly Years in Colorado
Rp m H V I 6 p - Bb W M M M B L W M b w b B W C w m p w bm 7 Nw m m m p b p m w p E Y C W m D w w Em W m 7- A m m 7 w b m p V A Gw C M Am W P w C Am H m C q Dpm A m p w m m b W I w b-w C M B b m p W Nw
More informationChair Susan Pilkington called the meeting to order.
PGE PRK D RECREO DVOR COMMEE REGUR MEEG MUE MOD, JU, Ru M h P P d R d Cmm hd : m Ju,, h Cu Chmb C H P, z Ch u P dd, Mmb B C, Gm Cu D W Bd mmb b: m D, d Md z ud mmb : C M, J C P Cmmu Dm D, Km Jh Pub W M,
More informationMark Scheme (Results) January GCE Statistics S2 (6684/01)
Mark Scheme (Results) January 013 GCE Statistics S (6684/01) Edexcel and BTEC Qualifications Edexcel and BTEC qualifications come from Pearson, the world s leading learning company. We provide a wide range
More informationOddn ENTRIES. Two New Buildings For County 4-H Fair
D G N H V G NNG \VH FYXH Y N $40000 b U v v 000 v b vv v vb v v b b x b z b v b b b & K b K G DH F H H /\U F b 80 K b z b bb v $40000 b v x v b bb 8 v b 30 K b b v v b v b b? x v z v b H D N G N H H Fz
More informationIntroduction To Confirmatory Factor Analysis and Item Response Theory
Introduction To Confirmatory Factor Analysis and Item Response Theory Lecture 23 May 3, 2005 Applied Regression Analysis Lecture #23-5/3/2005 Slide 1 of 21 Today s Lecture Confirmatory Factor Analysis.
More informationCCE PR Revised & Un-Revised
D CCE PR Revised & Un-Revised 560 00 KARNATAKA SECONDARY EDUCATION EXAMINATION BOARD, MALLESWARAM, BANGALORE 560 00 08 S.S.L.C. EXAMINATION, JUNE, 08 :. 06. 08 ] MODEL ANSWERS : 8-K Date :. 06. 08 ] CODE
More informationWomen's magazine editors: Story tellers and their cultural role
Edith Cowan University Research Online Theses: Doctorates and Masters Theses 2009 Women's magazine editors: Story tellers and their cultural role Kathryn Davies Edith Cowan University Recommended Citation
More informationUdaan School Of Mathematics Class X Chapter 10 Circles Maths
Exercise 10.1 1. Fill in the blanks (i) The common point of tangent and the circle is called point of contact. (ii) A circle may have two parallel tangents. (iii) A tangent to a circle intersects it in
More informationOQ4867. Let ABC be a triangle and AA 1 BB 1 CC 1 = {M} where A 1 BC, B 1 CA, C 1 AB. Determine all points M for which ana 1...
764 Octogon Mathematical Magazine, Vol. 24, No.2, October 206 Open questions OQ4867. Let ABC be a triangle and AA BB CC = {M} where A BC, B CA, C AB. Determine all points M for which 4 s 2 3r 2 2Rr AA
More informationFIRE DESTROYS PROCTOR INN AT CASCADE
BU K C b k b pp Ux C H G H U D Y C B 2 93 VU XXXV GU H DY jc C CHD UDY C 5 C V X / CK/G CD pvd V U& CKb H 9 Cb 5 D B H ; B VD p CH K B«C VBG GU H VB C p BCK K D U Z b C H H D KG B H G DCD b K CUY C C K
More informationMetroCount Traffic Executive Individual Vehicles
Individual-34 Page 1 MetroCount Traffic Executive Individual Vehicles Individual-34 -- English (ENA) Datasets: Site: [00001] Old Coast Rd 4km N of Od Bunbury Rd Direction: 5 - South bound A>B, North bound
More informationMOBILE NO : X_STD MATHS RVS - TRICHY R.VETRIVEL
10 MOBILE NO : 986545111 ONE MARK - FIRST TEST TIME:10 MINUTES 1. If A B, then A B is a) B b) A/B c) A d) B/A. If the product of the first four consecutive terms of a G.P is 56 and if the common ratio
More informationEnglish Made Easy: Foundation Book 1 Notes for parents
a nh Ma ay: Fnan 1 pan h b n hp y ch an ay an by cn n h n n ach h n h aphab. h h achn an ca phnc. h nan, achn an wn ac w nca y ch an h na ach, a w a h n n ach a an hw wn n h pa. y cpn h pa h b, y ch w
More informationCOORDINATE GEOMETRY BASIC CONCEPTS AND FORMULAE. To find the length of a line segment joining two points A(x 1, y 1 ) and B(x 2, y 2 ), use
COORDINATE GEOMETRY BASIC CONCEPTS AND FORMULAE I. Length of a Line Segment: The distance between two points A ( x1, 1 ) B ( x, ) is given b A B = ( x x1) ( 1) To find the length of a line segment joining
More informationDistribution of GCSE Grades Summer 2016
Distribution of GCSE Grades Summer 2016 Entries A* A B C D E F G U X Art and Design F 62 3 12 25 16 6 1 1 0 0 0 M 28 0 1 3 10 11 1 1 0 0 0 All 90 3 13 28 26 17 2 1 0 0 0 Business Studies F 44 0 2 9 14
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More information" W I T H IvIALIGE T O W A R D ISTPISTE A N D O H A R I T Y F O R A L L LOWELL PEOPLE. A Fine Time with Mr. and Krs. Geo. W. Parker.
V - > >- VBz FB B DB j B DB&B G R D P D R Y F R V K CY C PR 9 2 B $200 3 G R G V C: C Y B B V F C F B $00 PC C VR CQ D P C x R q» G C R B BY B P Y P P J C CP F FRR D DRKR GD J B R D PC R P D < C x F B
More informationLions 202L News and Views Week Commencing 2 nd May ISSUE 586. Like us on facebook/noozletta Please address all items to
L 0L Nw d Vw W Cg d My ISSUE 86 L fb/nz P dd z@b.g.z Gg fw L I p y d g w d wd. I v d g w y b R E g f R Ad L M. w pg Sf Cy Ld w wd b f. b by pj, d g g pp w pfg dd v- ' L vg f d w dg g y v D' fg Off g g
More informationi;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s
5 C /? >9 T > ; '. ; J ' ' J. \ ;\' \.> ). L; c\ u ( (J ) \ 1 ) : C ) (... >\ > 9 e!) T C). '1!\ /_ \ '\ ' > 9 C > 9.' \( T Z > 9 > 5 P + 9 9 ) :> : + (. \ z : ) z cf C : u 9 ( :!z! Z c (! $ f 1 :.1 f.
More information&" * 7. 89% ;:3DE!" %# $ "!" Comparing Sports Psychology Students' Attitudes Towards Their Field of Study with Other Psychology Students
51-68.1393.10 - /0,!(- ()!&.!"#$%& '()% *!+ &"1 23456 * 7. 89% 3 2 1 3+6 7%(= &. ;1 /:5 7.&" 93/3/27:'(!AB >!6 93/1/31:8=!& >!6 ;:3DE!" %# $!" 7 % 154 1 %2 3.$ & '()*+," -$./ - 9(:+ ; 2? ",&!".(@3C
More informationLecture 7 Correlated Characters
Lecture 7 Correlated Characters Bruce Walsh. Sept 2007. Summer Institute on Statistical Genetics, Liège Genetic and Environmental Correlations Many characters are positively or negatively correlated at
More informationNJCCCS AREA: Mathematics
NJCCCS AREA: Mathematics North Brunswick Township Public Schools Honors Algebra 1 Acknowledgements Rick Feltre, Mathematics Teacher Beth Yuhas, Mathematics Teacher Patricia VanLangen, Assistant Principal
More informationAC : GETTING MORE FROM YOUR DATA: APPLICATION OF ITEM RESPONSE THEORY TO THE STATISTICS CONCEPT INVENTORY
AC 2007-1783: GETTING MORE FROM YOUR DATA: APPLICATION OF ITEM RESPONSE THEORY TO THE STATISTICS CONCEPT INVENTORY Kirk Allen, Purdue University Kirk Allen is a post-doctoral researcher in Purdue University's
More informationARE YOU PREPARED FOR A TSUNAMI?
Eq g g? g! b, gb bg K f g pc T c fc E YOU EE FO TUNI? Y pp c b ffc f Kāp I b f p : g g f p f gg b pp f gc g f g f g p p Kāp c c - Y f j 8000 pp Kāp c z. If q pp c Kāp, c. I p p g b f f g g f c qc c f g.
More informationLINEAR SYSTEMS AND MATRICES
CHAPTER 3 LINEAR SYSTEMS AND MATRICES SECTION 3. INTRODUCTION TO LINEAR SYSTEMS This initial section takes account of the fact that some students remember only hazily the method of elimination for and
More information. ) =-, *+ 7 4* 8 ) 0 *+ 7 (c. 0 A #B (d
(97!" #$) IT "0 / +,-.* 4 7,0,5 6.A 0 A+;,.89 ; ?$.0, 7 -.! %&!"# (a. R *+ 0 K K,-./ R ) *+ K ( K (b (97 - )./! 4 5 6, Connection String (c, *+ 7 8 *+ 7 0 *9 7 R ) (d. 4* c a ( b a ( c b (4 b d (
More informationl l s n t f G A p p l i V d s I y r a U t n i a e v o t b c n a p e c o n s
G A 2 g R S 2 A R 2 S I g 3 C C 2 S S 5 C S G 6 S 4 C S 5 S y 1 D O A 1 S R d G 1 d 1 E T S & T 2 Vg y F P 4 2? M I 2 J H W 1 W B C L D 1 2 L W 4 M T 5 M S N 2 O I 4 P 7, P S 1 8 R I y y w Y f If f K f
More informationt a serial T p c o y o d c b m ii y f t s u d W y p ii a p l u R O f l T h k s m me t er y d n y ad v o t b c t t t w j i t M ua T n a a o t U t n i a
= = W # = A G 1 P S 1 A R 2 R Sg 19 C C 1 R A 6 g (M, C S H S y 3 C F 4! U M y 1 D D ( 6 W B C D C 7 W T 6 E S S 4 W S 1 v E T 2 g y - F P C C 1 L 8 - d M S N 2 d O k4 C S 5 y D O 4 y? 4! 7 ~ S y C R Md
More informationLast 4 Digits of USC ID:
Chemistry 05 B Practice Exam Dr. Jessica Parr First Letter of last Name PLEASE PRINT YOUR NAME IN BLOCK LETTERS Name: Last 4 Digits of USC ID: Lab TA s Name: Question Points Score Grader 8 2 4 3 9 4 0
More informationPsychometric Issues in Formative Assessment: Measuring Student Learning Throughout the Academic Year Using Interim Assessments
Psychometric Issues in Formative Assessment: Measuring Student Learning Throughout the Academic Year Using Interim Assessments Jonathan Templin The University of Georgia Neal Kingston and Wenhao Wang University
More informationUptake of IGCSE subjects 2012
Uptake of IGCSE subjects 2012 Statistics Report Series No.63 Tom Sutch September 2013 Research Division Assessment, Research and Development Cambridge Assessment 1 Regent Street, Cambridge, CB2 1GG Introduction
More informationEvidence of cross-hybridization artifact in expressed sequence tags (ESTs) on cdna microarrays
E -b (EST) DA D H, Sb D P Rb O D M F L W P S, R S C G, b, Ab W -b - DA DA - (T). T (T), (T), (EST) DA RA. A b DA EST - T b -. O (T) b -b RA. T b DA b b b EST (T). I, DA (T) DA b. K: DA M, E-T S, EST, C-b,
More informationStackable Storage & Dispensing Systems
Sb Sg & Dg S VE OMOVE OMOVE OMOVE OMO GC GC GC G NDS NDS NDS NDS ND -w v b q 0 0 0 07 MN. 80 S 0 M b g g w b. g w v: w g g b w W b g v S b. b v v b q. j b q g! g j N - O M O V E BE OF CONENS: SCKBE NKS...
More informationSouth Pacific Form Seven Certificate PHYSICS. QUESTION and ANSWER BOOKLET Time allowed: Two and a half hours
South Pacific Form Seven Certificate INSTRUCTIONS PHYSICS 2015 QUESTION and ANSWER BOOKLET Time allowed: Two and a half hours Write your Student Personal Identification Number (SPIN) in the space provided
More informationTUCBOR. is feaiherinp hit nest. The day before Thanks, as to reflect great discredit upon that paper. Clocks and Jewelry repaired and warranted.
W B J G Bk 85 X W G WY B 7 B 4 & B k F G? * Bk P j?) G j B k k 4 P & B J B PB Y B * k W Y) WY G G B B Wk J W P W k k J J P -B- W J W J W J k G j F W Wk P j W 8 B Bk B J B P k F BP - W F j $ W & B P & P
More informationRaman Amplifier Simulations with Bursty Traffic
R S h y Tc h N., k F, Jy K. c D Ecc E C Scc Uy ch b 3, Oc b, ch 489 X Cc, c. 5 W. hy D, S, Tx 753 Th h h bh R h bjc by c. y c c h h z c c c. Sch by c h -k c cy b. cc c, h c -- h h ych c k SONET), hch c
More informationSolutions to the February problems.
Solutions to the February problems. 348. (b) Suppose that f(x) is a real-valued function defined for real values of x. Suppose that both f(x) 3x and f(x) x 3 are increasing functions. Must f(x) x x also
More information