NN_KP3_item_vanskegrad

Author

Njål Foldnes

Vi to parametre for hvert item:

Leseforståelse

tt <- "leseforståelse"
items <- del %>% filter(Delprøve==tt) %>% select(3) %>% unlist
data <- all[, items] 
data <- data[, sapply(data, morethanone)]
twoPL <- mirt(data=data, model=1, verbose=F)
coef.df <- data.frame(coef(twoPL, IRTpars = TRUE, simplify=TRUE))
coef.df[, 3:6] <- NULL
colnames(coef.df) <- c("a", "b")
kable(round(coef.df, 1))%>%  kable_styling(position = "center")
a b
KP3_LF_NN_Br..stopp.i.s..la_n1_01 1.6 -0.8
KP3_LF_NN_Br..stopp.i.s..la_n1_01.2 1.4 -0.6
KP3_LF_NN_V..rvarslerne_n2_01a 0.9 -1.5
KP3_LF_NN_V..rvarslerne_n2_01b 1.0 -1.1
KP3_LF_NN_elevtekst_yrke_01 1.6 0.1
KP3_LF_NN_elevtekst_yrke_02 1.9 0.0
KP3_LF_NN_elevtekst_yrke_03 1.2 0.5
KP3_LF_NN_elevtekst_yrke_04 1.4 0.2
KP3_LF_NN_elevtekst_yrke_05 0.4 4.2
KP3_LF_NN_Leopard_01 1.3 0.1
KP3_LF_NN_Leopard_02 1.4 0.0
KP3_LF_NN_Leopard_03 1.3 -0.4
KP1_SLNN2701 2.0 -1.1
KPLES03_SLNN0503 1.2 -1.4
KP3_LF_NN_Goliatfrosk_01 0.9 -0.1
KP3_LF_NN_Goliatfrosk_02 1.1 0.1
KP3_LF_NN_Sjimpanse_01 1.5 0.2
KP3_LF_NN_Sjimpanse_02 1.2 -0.5
KP3_LF_NN_Sjimpanse_03 1.3 0.2
KPLES03_SLNN0203 1.6 -1.0
KPLES03_SLNN0604 1.3 -1.0
KPLES03_SLNN1801 1.3 -0.3
KP3_LF_NN_Br..stopp.i.s..la_n2_01 2.2 -0.3
KP3_LF_NN_Br..stopp.i.s..la_n2_03 0.8 1.4
KP3_LF_NN_V..rvarslerne_n3_01 1.7 -0.3
KP3_LF_NN_V..rvarslerne_n3_02 0.6 0.2
KP3_LF_NN_V..rvarslerne_n3_03 1.7 -0.4
KP3_LF_NN_V..rvarslerne_n3_04 1.2 0.2
KP1_SLNN1702 1.0 -0.7
KP3_LF_NN_V..rvarslerne_n3_05 1.1 0.6
KP3_LF_NN_Odin_01 1.4 0.1
KP3_LF_NN_Svartskjegg_01 0.7 0.8
KP1_SLNN2401 1.4 -1.0
KP1_SLNN2702 1.0 -1.1
KP1_SLNN2602 1.4 -1.1
KP1_SLNN2801 0.9 -0.6
KPLES03_SLNN0301 1.2 -0.8
KPLES03_SLNN0701 1.0 -1.1
KPLES03_SLNN2001 1.6 -0.5
KP3_LF_NN_Frosk_bankran_01 0.8 -0.3
KP3_LF_NN_Frosk_bankran_02 0.9 0.0
KP3_LF_NN_elevtekst_kj..ledyr_01 1.8 0.1
KP3_LF_NN_elevtekst_kj..ledyr_02 1.1 0.5
KP3_LF_NN_elevtekst_kj..ledyr_03 2.1 0.2
KP3_LF_NN_elevtekst_kj..ledyr_04 2.7 0.1
KP3_LF_NN_elevtekst_kj..ledyr_05 1.1 -0.1
KP3_LF_NN_elevtekst_kj..ledyr_06 1.4 0.5
KP3_LF_NN_Haren.og.Skilpadda_01 1.2 -0.9
KP3_LF_NN_Haren.og.Skilpadda_02 1.2 -0.5
KP3_LF_NN_Haren.og.Skilpadda_03b 1.5 0.1
KP3_LF_NN_Haren.og.Skilpadda_04b 1.4 -0.2
KP3_LF_NN_H..rfarge_01 1.6 -0.2
KP1_SLNN1703 1.4 0.1
KP1_SLNN2402 2.1 -1.2
KPLES03_SLNN0702 1.5 -1.5
KPLES03_SLNN1701 1.1 -0.9
KP3_LF_NN_Sn..geit_01 0.8 0.3
KP3_LF_NN_Sn..geit_02 0.7 -0.3
KP1_SLNN1802 0.7 -1.7
KP3_LF_NN_Br..stopp.i.s..la_n3_01 1.6 0.4
KP3_LF_NN_Br..stopp.i.s..la_n3_02 0.7 1.1
KP3_LF_NN_Br..stopp.i.s..la_n3_03 1.8 0.3
KP3_LF_NN_Br..stopp.i.s..la_n3_04 1.4 0.5
KP3_LF_NN_Br..stopp.i.s..la_n3_05 2.2 0.3
KP3_LF_NN_Br..stopp.i.s..la_n3_06 1.2 0.7
KP3_LF_NN_V..rvarslerne_n1_01 1.3 -1.0
KP3_LF_NN_V..rvarslerne_n1_02 0.9 -0.6
KP3_LF_NN_Bermuda_01 1.3 -0.6
KP1_SLNN2403 1.3 -1.1
KP1_SLNN2901 1.0 -1.0
KPLES03_SLNN0401 1.4 -1.0
KPLES03_SLNN0703 1.4 -1.0
KPLES03_SLNN2301 1.1 -1.4
KP3_LF_NN_elevtekst_mat_01 1.0 -0.5
KP3_LF_NN_elevtekst_mat_02 1.4 0.1
KP3_LF_NN_elevtekst_mat_03 1.9 0.2
KP3_LF_NN_elevtekst_mat_04 1.9 -0.2
KP3_LF_NN_elevtekst_mat_05 1.9 0.1
KP3_LF_NN_elevtekst_mat_06 2.7 -0.1
KP3_LF_NN_elevtekst_mat_07 1.9 -0.1
KP3_LF_NN_elevtekst_mat_08 2.5 0.0
KP3_LF_NN_elevtekst_mat_09 0.7 1.0
KP1_SLNN1803 0.9 -1.1
KP1_SLNN2501 0.5 -0.1
KP1_SLNN3001 1.0 -1.7
KPLES03_SLNN0501 1.1 -1.1
KPLES03_SLNN0502 1.5 -1.1
KPLES03_SLNN0704 1.4 -1.3
KP3_LF_NN_byggverk_01 1.0 -1.1
KP3_LF_NN_byggverk_02 1.1 -0.9
KP3_LF_NN_byggverk_03 1.3 -0.5
KP3_LF_NN_byggverk_04 1.4 -0.3
KP3_LF_NN_byggverk_05 1.2 0.1
KP3_LF_NN_Massimiliano_01 1.3 -0.2
KP3_LF_NN_Massimiliano_02 0.8 -0.3
KP1_SLNN2002 1.1 -1.9
KP1_SLNN2502b 1.2 -1.4
KP1_SLNN3002 0.7 -1.8
KP1_SLNN3201 1.7 -1.4
KPLES03_SLNN0801 1.0 -1.6
KP3_LF_NN_elevtekst_Superheltar_01 1.4 0.1
KP3_LF_NN_elevtekst_Superheltar_02 1.6 0.5
KP3_LF_NN_elevtekst_Superheltar_03 1.7 -0.1
KP3_LF_NN_elevtekst_Superheltar_04 1.8 -0.1
KP3_LF_NN_elevtekst_Superheltar_05 1.6 -0.1
KP3_LF_NN_elevtekst_Superheltar_06 2.1 0.1
KP3_LF_NN_Haren.og.Skilpadda_03a 0.8 -0.5
KP3_LF_NN_Haren.og.Skilpadda_04a 0.3 3.4
KP1_SLNN2102 1.2 -1.9
KP1_SLNN2601 1.7 -1.5
KP1_SLNN3101 1.3 -1.7
KP1_SLNN3301 0.7 -1.8

Ordlesing

tt <- "ordlesing"
items <- del %>% filter(Delprøve==tt) %>% select(3) %>% unlist
data <- all[, items] 
data <- data[, sapply(data, morethanone)]
twoPL <- mirt(data=data, model=1, verbose=F)
Warning: data contains response patterns with only NAs
Warning in EM.group(pars = pars, constrain = constrain, Ls = Ls, PrepList =
PrepList, : EM cycles terminated after 500 iterations.
coef.df <- data.frame(coef(twoPL, IRTpars = TRUE, simplify=TRUE))
coef.df[, 3:6] <- NULL
colnames(coef.df) <- c("a", "b")
kable(round(coef.df, 1))%>%  kable_styling(position = "center")
a b
avk3_2_029_2 9.0 -1.4
avk3_2_157_2 9.0 -1.4
avk3_2_221_2 16.9 -0.6
avk3_2_034_1 0.4 -2.5
avk3_2_046_1 9.0 -1.4
avk3_2_162_1 16.9 -0.6
avk3_2_170_1 2.0 -0.8
avk3_2_230_1 0.5 -0.7
avk3_2_330_1 16.9 -0.6
avk3_2_390_1 16.9 -0.6
avk3_2_506_1 0.4 2.2
avk3_2_554_1 16.9 -0.6
avk3_2_119_500 1.2 -1.1
avk3_2_107_500 16.9 -0.6
avk3_2_075_500 9.0 -1.4
avk3_2_051_500 1.4 -1.5
avk3_2_055_500 9.0 -1.4
avk3_2_773_2 9.0 -1.4
avk3_2_179_500 2.1 -1.2
avk3_2_215_500 1.6 -0.3
avk3_2_211_500 1.6 -1.4
avk3_2_207_500 1.5 -1.0
avk3_2_191_500 19.2 -0.1
avk3_2_375_500 19.2 -0.1
avk3_2_347_500 1.6 -0.8
avk3_2_777_2 9.0 -1.4
avk3_2_351_500 19.2 -0.1
avk3_2_427_500 19.2 -0.1
avk3_2_639_500 16.9 -0.6
avk3_2_655_500 2.0 -0.8
avk3_2_607_500 16.9 -0.6
avk3_2_567_500 0.5 2.1
avk3_2_579_500 1.3 -1.1
avk3_2_591_500 18.8 0.3
avk3_2_781_2 1.8 -2.1
avk3_2_060_200 18.8 0.3
avk3_2_068_200 0.9 -1.3
avk3_2_220_200 1.3 -0.3
avk3_2_248_200 1.5 -0.4
avk3_2_244_200 16.9 -0.6
avk3_2_252_200 1.6 -0.3
avk3_2_324_200 1.9 -0.1
avk3_2_388_200 1.6 0.3
avk3_2_400_200 2.0 0.4
avk3_2_432_200 19.2 -0.1
avk3_2_444_200 9.0 -1.4
avk3_2_532_200 4.8 1.2
avk3_2_572_200 0.9 0.8
avk3_2_596_200 0.6 0.6
avk3_2_620_200 13.3 0.7
avk3_2_660_200 0.2 1.3
avk3_2_672_200 2.0 -0.8
avk3_2_652_200 0.2 9.8
avk3_2_021_2 9.0 -1.4
avk3_2_025_2 9.0 -1.4
avk3_2_785_2 1.8 -2.0
avk3_2_166_1 1.5 -1.2
avk3_2_074_1 2.3 -1.0
avk3_2_082_1 2.0 -1.0
avk3_2_254_1 1.5 -0.8
avk3_2_177_2 1.9 -1.4
avk3_2_061_2 1.6 -1.5
avk3_2_246_1 1.4 -1.0
avk3_2_226_1 2.0 -1.0
avk3_2_278_1 1.2 -0.3
avk3_2_789_2 1.8 -2.4
avk3_2_442_1 1.8 -1.1
avk3_2_458_1 2.3 -0.9
avk3_2_570_1 1.6 0.2
avk3_2_606_1 1.5 -1.2
avk3_2_239_500 1.4 -1.2
avk3_2_287_500 1.0 -0.3
avk3_2_003_500 1.9 -1.1
avk3_2_019_500 1.7 -1.3
avk3_2_027_500 1.4 -1.0
avk3_2_087_500 1.7 -0.8
avk3_2_793_2 1.2 -2.3
avk3_2_091_500 1.4 -1.2
avk3_2_143_500 1.5 -1.2
avk3_2_147_500 1.2 -1.4
avk3_2_199_500 3.6 -0.6
avk3_2_223_500 1.4 -0.7
avk3_2_159_500 1.6 -1.1
avk3_2_751_500 1.7 -0.3
avk3_2_251_500 1.8 -0.5
avk3_2_303_500 1.6 -0.4
avk3_2_125_2 1.3 -2.4
avk3_2_355_500 1.8 0.1
avk3_2_395_500 1.3 -0.9
avk3_2_623_500 0.8 -0.7
avk3_2_531_500 0.7 0.0
avk3_2_515_500 0.6 -0.5
avk3_2_635_500 1.7 0.2
avk3_2_316_200 1.5 -0.5
avk3_2_096_200 1.3 -0.9
avk3_2_133_2 1.4 -2.1
avk3_2_104_200 1.7 -0.9
avk3_2_188_200 1.6 -0.6
avk3_2_184_200 2.1 -0.8
avk3_2_196_200 1.3 -0.9
avk3_2_232_200 1.7 -0.5
avk3_2_332_200 2.0 -0.4
avk3_2_392_200 1.4 -0.3
avk3_2_069_2 1.7 -1.4
avk3_2_428_200 2.0 -0.8
avk3_2_384_200 1.1 0.3
avk3_2_472_200 1.4 0.0
avk3_2_476_200 1.3 0.4
avk3_2_508_200 1.6 0.7
avk3_2_520_200 1.4 0.3
avk3_2_524_200 2.2 0.3
avk3_2_077_2 0.7 -0.8
avk3_2_556_200 2.0 -0.3
avk3_2_568_200 1.5 0.6
avk3_2_600_200 1.7 0.4
avk3_2_233_2 2.0 -0.9
avk3_2_257_2 2.4 -1.1
avk3_2_117_2 1.4 -1.0
avk3_2_217_2 1.6 -0.9
avk3_2_153_2 1.7 -0.9
avk3_2_066_1 1.3 -1.4
avk3_2_054_1 1.5 -1.1
avk3_2_210_1 1.9 -1.3
avk3_2_146_1 1.8 -1.1
avk3_2_178_1 1.8 -1.2
avk3_2_262_1 1.4 -0.7
avk3_2_310_1 1.3 -1.1
avk3_2_342_1 1.6 -1.2
avk3_2_486_1 1.7 -0.6
avk3_2_494_1 1.5 -1.1
avk3_2_099_500 2.4 -0.9
avk3_2_071_500 1.9 -1.0
avk3_2_063_500 2.0 -1.0
avk3_2_039_500 2.4 -0.9
avk3_2_797_2 1.9 -1.9
avk3_2_015_500 1.6 -1.5
avk3_2_151_500 1.4 -0.6
avk3_2_171_500 1.7 -1.2
avk3_2_231_500 2.0 -0.9
avk3_2_267_500 1.8 -1.0
avk3_2_283_500 1.8 -1.1
avk3_2_323_500 1.9 -0.2
avk3_2_801_2 1.1 -2.4
avk3_2_327_500 0.4 0.5
avk3_2_663_500 1.8 0.4
avk3_2_643_500 0.9 -0.4
avk3_2_619_500 1.1 1.0
avk3_2_575_500 1.4 -0.2
avk3_2_559_500 2.0 -0.8
avk3_2_671_500 1.5 -0.6
avk3_2_805_2 1.7 -2.1
avk3_2_108_200 2.3 -0.8
avk3_2_080_200 1.5 -0.5
avk3_2_164_200 1.7 -1.2
avk3_2_192_200 1.6 -0.8
avk3_2_256_200 1.5 -0.6
avk3_2_208_200 1.6 -0.8
avk3_2_296_200 1.2 -1.0
avk3_2_336_200 1.5 -0.1
avk3_2_340_200 1.2 -0.3
avk3_2_352_200 1.4 -0.3
avk3_2_504_200 1.5 0.1
avk3_2_548_200 0.8 -0.7
avk3_2_564_200 1.4 -0.6
avk3_2_592_200 1.0 -0.1
avk3_2_616_200 1.3 0.7
avk3_2_129_2 1.4 -1.8
avk3_2_137_2 0.8 0.8
avk3_2_241_2 1.7 -1.5
avk3_2_213_2 1.6 -1.2
avk3_2_010_1 1.5 -1.0
avk3_2_018_1 2.0 -1.3
avk3_2_174_1 2.0 -1.2
avk3_2_198_1 1.4 -1.2
avk3_2_234_1 1.9 -1.0
avk3_2_406_1 0.8 0.0
avk3_2_422_1 2.2 -0.9
avk3_2_482_1 1.4 -0.8
avk3_2_478_1 1.3 -0.9
avk3_2_043_500 1.6 -1.0
avk3_2_067_500 2.1 -1.1
avk3_2_079_500 1.3 -0.8
avk3_2_103_500 1.0 -1.2
avk3_2_083_500 1.5 -1.3
avk3_2_809_2 1.3 -2.1
avk3_2_183_500 1.6 -1.0
avk3_2_247_500 1.4 -0.9
avk3_2_227_500 1.9 -1.1
avk3_2_195_500 1.9 -0.9
avk3_2_263_500 1.3 -0.7
avk3_2_311_500 1.5 -0.8
avk3_2_387_500 1.6 -0.3
avk3_2_813_2 1.6 -1.7
avk3_2_503_500 1.5 -0.1
avk3_2_499_500 0.9 -0.2
avk3_2_723_500 0.3 1.3
avk3_2_651_500 1.0 1.3
avk3_2_631_500 1.2 0.1
avk3_2_615_500 1.4 0.6
avk3_2_124_200 1.4 -0.7
avk3_2_116_200 1.6 -1.1
avk3_2_817_2 1.8 -1.5
avk3_2_224_200 1.2 -0.9
avk3_2_156_200 1.5 -0.5
avk3_2_160_200 1.3 -1.2
avk3_2_280_200 1.3 -0.6
avk3_2_272_200 1.7 -0.8
avk3_2_304_200 1.2 0.0
avk3_2_348_200 1.4 -0.8
avk3_2_396_200 1.2 -0.7
avk3_2_468_200 1.2 -0.4
avk3_2_488_200 1.0 0.0
avk3_2_464_200 1.2 -0.5
avk3_2_552_200 1.3 1.1
avk3_2_560_200 0.9 -0.9
avk3_2_700_200 1.2 0.9
avk3_2_049_2 1.4 -1.9
avk3_2_580_200 0.7 -1.0
avk3_2_604_200 1.4 0.7
avk3_2_057_2 1.6 -1.1
avk3_2_097_2 1.8 -1.7
avk3_2_113_2 1.8 -1.2
avk3_2_145_2 3.2 -0.9
avk3_2_022_1 2.3 -0.8
avk3_2_050_1 2.0 -1.1
avk3_2_158_1 1.9 -1.0
avk3_2_186_1 2.1 -0.6
avk3_2_190_1 2.1 -0.9
avk3_2_274_1 1.8 -0.4
avk3_2_282_1 1.6 -1.0
avk3_2_366_1 1.3 0.2
avk3_2_534_1 1.7 -0.3
avk3_2_538_1 2.4 -0.2
avk3_2_031_500 1.6 -1.2
avk3_2_011_500 1.1 -0.8
avk3_2_007_500 2.0 -0.9
avk3_2_047_500 2.1 -1.1
avk3_2_821_2 2.9 -1.2
avk3_2_219_500 1.2 -0.5
avk3_2_163_500 1.5 -1.1
avk3_2_255_500 1.4 -0.7
avk3_2_243_500 2.2 -0.9
avk3_2_295_500 1.7 -1.0
avk3_2_335_500 1.9 -0.3
avk3_2_825_2 1.0 -2.9
avk3_2_379_500 1.8 -0.7
avk3_2_431_500 1.8 -0.7
avk3_2_475_500 1.8 0.4
avk3_2_523_500 2.1 0.1
avk3_2_555_500 2.2 -0.6
avk3_2_595_500 0.9 0.3
avk3_2_120_200 1.7 -0.3
avk3_2_829_2 1.1 -2.6
avk3_2_092_200 1.7 -0.7
avk3_2_172_200 2.1 -0.6
avk3_2_228_200 2.0 -1.0
avk3_2_260_200 2.3 -0.7
avk3_2_308_200 1.5 0.1
avk3_2_408_200 1.0 0.5
avk3_2_452_200 1.5 0.3
avk3_2_456_200 1.3 -0.4
avk3_2_584_200 2.1 -0.5
avk3_2_608_200 1.3 -0.4
avk3_2_624_200 1.2 -0.2
avk3_2_640_200 1.9 -0.2
avk3_2_656_200 1.3 -0.3
avk3_2_664_200 1.1 0.8
avk3_2_085_2 2.5 -1.0
avk3_2_093_2 1.4 -1.0
avk3_2_193_2 1.7 -1.3
avk3_2_014_1 1.6 -1.6
avk3_2_090_1 1.5 -1.5
avk3_2_182_1 1.6 -1.4
avk3_2_242_1 1.8 -1.2
avk3_2_338_1 1.5 -0.9
avk3_2_394_1 1.2 -0.7
avk3_2_378_1 1.5 -1.2
avk3_2_035_500 1.7 -1.5
avk3_2_095_500 1.4 -1.3
avk3_2_115_500 1.1 -1.7
avk3_2_175_500 1.7 -1.3
avk3_2_833_2 1.4 -2.0
avk3_2_331_500 1.2 -0.9
avk3_2_367_500 1.3 0.3
avk3_2_399_500 1.4 0.5
avk3_2_435_500 1.6 -0.7
avk3_2_459_500 1.6 -0.8
avk3_2_471_500 1.7 -0.1
avk3_2_479_500 1.6 -0.6
avk3_2_519_500 1.1 0.2
avk3_2_571_500 1.1 0.7
avk3_2_659_500 1.7 -0.2
avk3_2_028_200 1.5 -0.6
avk3_2_088_200 1.3 -0.8
avk3_2_236_200 1.9 -0.7
avk3_2_180_200 1.4 -1.2
avk3_2_200_200 1.7 -0.7
avk3_2_344_200 1.4 -0.9
avk3_2_300_200 1.5 -0.7
avk3_2_356_200 1.1 0.7
avk3_2_376_200 1.4 -0.6
avk3_2_065_2 1.3 -2.0
avk3_2_708_200 0.5 1.1
avk3_2_636_200 1.4 0.2
avk3_2_576_200 1.1 0.0
avk3_2_500_200 0.8 -0.2
avk3_2_632_200 0.9 0.7
avk3_2_528_200 0.7 -0.7
avk3_2_109_2 1.4 -1.8
avk3_2_121_2 1.3 -1.8
avk3_2_169_2 1.7 -1.5
avk3_2_098_1 1.8 -1.3
avk3_2_218_1 1.3 -0.9
avk3_2_258_1 1.6 -1.3
avk3_2_154_1 1.7 -1.0
avk3_2_414_1 1.4 -0.7
avk3_2_750_1 1.3 -0.5
avk3_2_530_1 1.8 -0.1
avk3_2_542_1 1.4 -0.3
avk3_2_023_500 1.9 -1.0
avk3_2_105_2 1.7 -1.0
avk3_2_187_500 1.6 -0.6
avk3_2_391_500 1.0 -0.9
avk3_2_279_500 1.7 -0.8
avk3_2_307_500 1.4 -0.1
avk3_2_443_500 2.0 -0.7
avk3_2_423_500 1.9 -0.6
avk3_2_383_500 1.0 -0.2
avk3_2_699_500 1.6 0.2
avk3_2_053_2 1.3 -2.0
avk3_2_535_500 1.4 -0.1
avk3_2_483_500 1.2 -0.7
avk3_2_495_500 1.7 -0.7
avk3_2_487_500 1.1 -0.4
avk3_2_539_500 1.8 0.3
avk3_2_507_500 1.7 0.5
avk3_2_455_500 1.5 -0.3
avk3_2_044_200 1.2 -0.8
avk3_2_073_2 1.6 -1.6
avk3_2_072_200 1.6 -1.1
avk3_2_176_200 1.9 -0.8
avk3_2_212_200 1.2 -1.4
avk3_2_144_200 1.6 -0.9
avk3_2_460_200 1.8 -0.8
avk3_2_380_200 1.6 -0.7
avk3_2_436_200 1.6 -0.3
avk3_2_268_200 1.6 -1.0
avk3_2_420_200 1.6 -0.4
avk3_2_748_200 1.2 0.4
avk3_2_644_200 0.5 0.6
avk3_2_249_2 1.3 -1.1
avk3_2_006_1 1.6 -1.2

Staving

Ingen staving items ble korrekt besvart! For eksempel, i Hefte1A-D_NN.xlsx så får vi bare 0’ere

h <- readxl::read_excel("Hefte1A-D_NN.xlsx")
table(h$Stav_NN_0101_T3)

  0 
347

Vokabular

tt <- "vokabular"
items <- del %>% filter(Delprøve==tt) %>% select(3) %>% unlist
data <- all[, items] 
data <- data[, sapply(data, morethanone)]
twoPL <- mirt(data=data, model=1, verbose=F)
Warning in EM.group(pars = pars, constrain = constrain, Ls = Ls, PrepList =
PrepList, : EM cycles terminated after 500 iterations.
coef.df <- data.frame(coef(twoPL, IRTpars = TRUE, simplify=TRUE))
coef.df[, 3:6] <- NULL
colnames(coef.df) <- c("a", "b")
kable(round(coef.df, 1))%>%  kable_styling(position = "center")
a b
KP1_NN_ord_93 0.5 -2.2
KP1_NN_ord_07 1.0 -3.0
KP1_NN_ord_08 0.8 -2.1
KP1_NN_ord_88 1.1 -2.2
KP1_Vok_SF_01_NN 1.1 -2.6
KP1_Vok_SF_44 0.9 -2.3
KP1_Vok_SF_47 0.9 -2.6
KP1_Vok_SF_29 1.1 -1.7
KP1_Vok_SF_49 1.2 -2.2
KP1_Vok_SF_03_NN 0.9 -3.4
KP1_Vok_SF_19 0.9 -2.6
KP1_Vok_SF_18_NN 0.8 -3.3
MyldreT3_NN_0501 1.4 -1.7
MyldreT3_NN_0502 1.4 -1.8
MyldreT3_NN_0601 0.6 -1.0
MyldreT3_NN_0603 0.8 -2.0
MyldreT3_NN_0605 1.0 -1.6
MyldreT3_NN_0622 0.7 -2.0
KP3_VOK_NN_058_seri..s 1.2 0.1
KP3_VOK_NN_001_begeistra 0.8 1.2
KP3_VOK_NN_002_brumme 1.8 0.3
KP3_VOK_NN_004_langsam 2.2 0.3
KP1_NN_ord_03 1.0 -3.1
KP3_VOK_NN_005_praktfull 2.0 0.0
KP3_VOK_NN_006_fortsette 2.7 -0.4
KP3_VOK_NN_007_f..reg.. 1.5 0.5
KP3_VOK_NN_008_eske 3.0 -0.4
KP3_VOK_NN_009_ryddig 1.5 -1.1
KP3_VOK_NN_010_reparere 1.6 -0.3
KP3_VOK_NN_011_symbol 1.3 0.2
VOK_SK_NN_001 1.4 -0.7
VOK_SK_NN_002 1.4 -0.3
VOK_SK_NN_003 1.8 -0.2
KP1_NN_ord_04 0.4 -6.5
KP1_NN_ord_05 0.5 -4.0
KP1_NN_ord_46 1.0 -3.1
KP1_NN_ord_72 1.4 -2.9
KP1_NN_ord_70 1.0 -1.7
KP1_Vok_SF_16 0.8 -3.0
KP1_Vok_SF_07 1.0 -2.5
KP1_Vok_SF_42 0.9 -3.3
MyldreT3_NN_0503 0.9 -2.6
MyldreT3_NN_0504 0.9 -2.7
KP3_VOK_NN_043_risikere 1.4 0.0
KP3_VOK_NN_044_fors..k 1.2 0.5
KP3_VOK_NN_055_brensel 1.6 -0.8
KP3_VOK_NN_056_grotte 0.7 0.0
VOK_SK_NN_004 0.9 0.2
VOK_SK_BM_004 -0.9 0.1
VOK_SK_BM_005 4.0 0.4
VOK_SK_BM_006 -1.0 1.8
KP1_Vok_SF_27 0.4 -5.4
KP1_Vok_SF_35_NN 0.7 -2.5
KP1_Vok_SF_10 0.9 -2.8
KP1_Vok_SF_21 1.1 -2.3
MyldreT3_NN_0505 1.3 -0.8
MyldreT3_NN_0507 0.9 -1.3
MyldreT3_NN_0607 1.1 -1.9
MyldreT3_NN_0612 1.3 -1.1
MyldreT3_NN_0614 1.6 -1.9
MyldreT3_NN_0627 0.7 -1.5
KP3_VOK_NN_084_jobbe 1.5 -0.3
KP3_VOK_NN_012_forvente 1.8 0.2
KP3_VOK_NN_013_bekymring 1.5 -0.1
KP3_VOK_NN_014_mystisk 1.4 -0.1
KP3_VOK_NN_015_varsam 1.7 0.3
KP3_VOK_NN_016_vedta 1.9 0.1
KP3_VOK_NN_017_br..tt 1.4 0.3
KP3_VOK_NN_018_forlange 0.9 0.6
KP3_VOK_NN_019_skrive 1.3 0.9
KP3_VOK_NN_020_forsvunnen 2.3 -0.5
KP3_VOK_NN_021_problem 0.5 2.4
KP3_VOK_NN_022_ransake 0.6 1.6
VOK_SK_NN_007 1.5 0.6
VOK_SK_NN_008 1.3 0.4
VOK_SK_NN_009 1.5 -0.5
KP1_NN_ord_74 0.7 -2.0
KP1_NN_ord_76 1.1 -2.1
KP1_NN_ord_65 0.9 -1.5
KP1_NN_ord_33 1.2 -2.2
KP1_NN_ord_79 0.6 -3.7
KP1_NN_ord_49 1.1 -3.1
KP1_NN_ord_81 1.2 -2.2
KP1_Vok_SF_26 0.8 -3.3
KP1_Vok_SF_46 1.0 -2.3
KP1_Vok_SF_17_NN 1.3 -2.3
KP1_Vok_SF_12 0.8 -2.2
KP1_Vok_SF_06 0.8 -1.8
KP1_Vok_SF_37 1.0 -2.7
VOK_SK_BM_007 1.3 0.4
VOK_SK_BM_008 0.9 0.2
VOK_SK_BM_009 1.4 -1.0
MyldreT3_NN_0506 0.7 -0.3
MyldreT3_NN_0508 1.3 -2.0
MyldreT3_NN_0615 0.9 -2.1
MyldreT3_NN_0616 1.2 -2.2
KP3_VOK_NN_085_byrjing 1.1 0.0
KP3_VOK_NN_085_byrjing.2 0.5 3.9
KP3_VOK_NN_057_bestikk 0.8 0.0
KP3_VOK_NN_059_sjenert 0.7 1.7
KP3_VOK_NN_061_fortvila 1.2 -1.4
KP3_VOK_NN_063_presang 0.7 -0.6
KP3_VOK_NN_064_reparere 1.2 -1.5
KP3_VOK_NN_065_skremd 1.1 -1.7
KP3_VOK_NN_066_glane 1.5 -0.6
KP3_VOK_NN_067_forvandle 0.3 0.3
KP3_VOK_NN_068_dristig 0.3 2.4
KP3_VOK_NN_069_fikle 1.3 -0.8
VOK_SK_NN_010 1.1 -1.0
VOK_SK_NN_011 1.5 -0.8
KP1_NN_ord_35 0.8 -2.3
KP1_NN_ord_63 1.3 -2.8
KP1_NN_ord_02 1.2 -2.2
KP1_NN_ord_50 1.1 -2.0
KP1_NN_ord_67 1.0 -2.4
KP1_NN_ord_68 1.0 -3.1
KP1_NN_ord_32 0.6 -3.6
KP1_Vok_SF_33 0.8 -3.4
KP1_Vok_SF_24 0.8 -3.5
KP1_Vok_SF_43 1.3 -2.4
KP1_Vok_SF_30 1.1 -2.2
KP1_Vok_SF_38 1.2 -1.8
KP1_Vok_SF_25 0.6 -3.9
KP1_Vok_SF_48 0.7 -4.2
KP1_Vok_SF_02_NN 0.9 -2.9
KP1_Vok_SF_31 0.8 -3.4
KP1_Vok_SF_45 0.8 -3.0
KP1_Vok_SF_14 1.0 -3.0
KP1_Vok_SF_09_NN 0.7 -3.2
MyldreT3_NN_0509 1.0 -3.3
MyldreT3_NN_0510 0.8 -1.7
MyldreT3_NN_0609 0.5 -2.1
MyldreT3_NN_0617 0.7 -0.1
MyldreT3_NN_0618 1.1 -2.8
MyldreT3_NN_0629 0.8 -1.3
KP3_VOK_NN_023_entusiastisk 0.5 2.4
KP3_VOK_NN_026_fundere 1.3 -0.1
KP3_VOK_NN_027_oppfinnsam 1.3 -0.6
KP3_VOK_NN_028_mektig 1.1 -0.6
KP3_VOK_NN_029_fjern 0.7 1.0
KP3_VOK_NN_030_elegant 0.9 0.1
KP3_VOK_NN_031_ettertrakta 0.3 2.6
VOK_SK_BM_013 0.9 0.9
VOK_SK_BM_014 0.8 0.9
VOK_SK_BM_015 0.8 0.1
MyldreT3_NN_0511 0.6 -0.5
MyldreT3_NN_0512 0.6 1.2
MyldreT3_NN_0610 0.7 -2.0
MyldreT3_NN_0611 0.7 -1.4
MyldreT3_NN_0613 1.6 -1.5
MyldreT3_NN_0619 0.8 -1.3
KP3_VOK_NN_071_rusle 0.9 0.7
KP3_VOK_NN_074_lang 0.8 -0.5
KP3_VOK_NN_076_stor 1.3 -0.9
KP3_VOK_NN_078_fin 1.1 -1.3
KP3_VOK_NN_079_kopp 0.9 1.6
KP3_VOK_NN_080_utnytte 1.3 0.7
KP3_VOK_NN_081_dr..fte 0.4 1.3
KP3_VOK_NN_082_avslutte 1.5 -0.1
VOK_SK_BM_016 0.8 1.4
VOK_SK_BM_017 1.9 -0.3
VOK_SK_BM_018 1.3 0.2
KP1_NN_ord_77 1.0 -3.1
KP1_NN_ord_78 1.0 -2.9
KP1_NN_ord_56 0.3 -10.2
KP1_NN_ord_66 1.0 -3.2
KP1_NN_ord_51 0.3 -8.4
KP1_NN_ord_45 0.7 -3.3
KP1_NN_ord_62 0.6 -4.0
KP1_Vok_SF_34 0.9 -2.9
KP1_Vok_SF_05 0.9 -3.1
KP1_Vok_SF_39 0.8 -3.4
KP1_Vok_SF_20 0.9 -3.6
KP1_Vok_SF_36_NN 0.7 -2.9
KP1_NN_ord_71 0.6 -3.1
KP1_NN_ord_80 0.8 -3.6
KP1_Vok_SF_23 0.9 -2.9
KP1_Vok_SF_04 0.7 -4.3
KP1_Vok_SF_28 1.2 -2.5
KP1_Vok_SF_40 1.0 -2.5
KP1_Vok_SF_15 0.7 -4.4
MyldreT3_NN_0513 0.5 -4.4
MyldreT3_NN_0514 0.7 -2.9
MyldreT3_NN_0625 0.5 0.0
MyldreT3_NN_0628 0.4 -5.3
MyldreT3_NN_0624 0.7 -3.0
KP3_VOK_NN_033_freiste 0.7 2.3
KP3_VOK_NN_036_doven 1.4 -0.4
KP3_VOK_NN_038_distr.. 1.1 0.2
KP3_VOK_NN_039_grundig 1.9 -0.3
VOK_SK_NN_020 1.7 -0.5
VOK_SK_NN_019 2.2 -0.5
VOK_SK_NN_021 1.6 -0.7
MyldreT3_NN_0515 0.5 -3.9
MyldreT3_NN_0516 0.7 -0.4
MyldreT3_NN_0620 0.7 -2.8
MyldreT3_NN_0621 0.7 -3.8
MyldreT3_NN_0626 0.7 -2.7
KP3_VOK_NN_083_presse 1.1 -0.7
KP3_VOK_NN_087_kvinne 1.6 -0.8
KP3_VOK_NN_088_tr..ye 0.9 0.0
KP3_VOK_NN_090_aggressiv 0.6 1.3
KP3_VOK_NN_092_grisk 0.5 0.6
KP3_VOK_NN_093_fersk 1.4 0.0
KP3_VOK_NN_094_kj..leg 1.3 -0.7