Publications by N Foldnes
Interactions TT TPD
Data We look at t3 variables. And we ignore the TPD2 conditions, so we have the following 2 by 2 factor design ## ## FALSE TRUE ## FALSE 975 959 ## TRUE 982 954 Interaction plots ## Registered S3 methods overwritten by 'broom': ## method from ## tidy.glht jtools ## tidy.summary.glht jtools ##...
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MST Lesing
Introduction to the MST setup item pool We have 122 items: The basic MST structure We consider 6 modules organized as follows Parameters for difficulty levels In the above structure, we have set the following parameters. Start difficulty level : 0 Difficulty increase : 1 Difficulty decrease : 1 If we change these, to, e.g., start = -1, incr...
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MST BM vok
Structure and module numbering There are 6 modules (each with 6 items) numbered as follows stage1 stage2 stage3 M6 M3 M1 M5 M2 M4 Plots of theoretical and empirical modells Theoretical probabilities The overall final probabilites and probabilities as a function of \(\theta\) risk low med high 8.4 15.5 29.5 46.3 Items and cutoffs The c...
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Document
Plots Theoretical probabilities The overall final probabilites and probabilities as a function of \(\theta\) risk low med high 9 14.1 22.2 54.4 Items and cutoffs The cutoffs (need at least the following number of correct responses to branch up) M1 M2 M3 M4 M5 M6 4 4 3 4 3 3 Items per module ## $m1 ## a b c d ## B...
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mst analyse
LESING For design basert på IRT analyser fra Høsten 2021, se https://rpubs.com/njaalf/mst_lesing. Totalt deltok nrow(rawdata) elever i MST piloten. Færre studenter enn forventet på lavt nivå Her ser vi hvor mange prosent som fulgte hver sti i MST, i rød font. I svart font har vi prosent for modulene. Oppgavene var lettere enn forventet! L...
879 sym 6 img
MST analyse
LESING For design basert på IRT analyser fra Høsten 2021, se https://rpubs.com/njaalf/mst_lesing. Totalt deltok nrow(rawdata) elever i MST piloten. Færre studenter enn forventet på lavt nivå Her ser vi hvor mange prosent som fulgte hver sti i MST, i rød font. I svart font har vi prosent for modulene. Oppgavene var lettere enn forventet! L...
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motivation 22 reading
Descriptives missing data Interesse og mestring generell lots of missing! vocabulary ## Mode FALSE TRUE ## logical 355 228 sumskill interessegenerell mestringgenerell prevok_interesse prevok_mestring postvok_interesse postvok_mestring postvok_fortsattmestring sumskill 1 interessegenerell 0.01 1 mestringgenerell 0...
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Document
STAVING Theoretical probabilities The overall final probabilites and probabilities as a function of \(\theta\) risk low med high 7.9 31.8 29.5 30.5 Items and cutoffs The cutoffs (need at least the following number of correct responses to branch up) M1 M2 M3 M4 M5 M6 3 2 2 3 2 2 Items per module ## [[1]] ## a b ##...
1059 sym R (5234 sym/4 pcs) 4 img 12 tbl
MST NN 01
STAVING Theoretical probabilities The overall final probabilites and probabilities as a function of \(\theta\) risk low med high 6.2 30.9 38.2 24.4 Items and cutoffs The cutoffs (need at least the following number of correct responses to branch up) M1 M2 M3 M4 M5 M6 3 2 2 3 2 2 Items per module ## [[1]] ## a b ##...
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Discnorm vignette
Discnorm: Detecting and adjusting for underlying non-normality in ordinal datasets Njål Foldnes and Steffen Grønneberg 2022-03-19 library(discnorm ) library(lavaan) The discnorm package uses bootstrapping to help determine whether the commonly assumed normality assumption is tenable for an ordinal dataset. Researchers wanting to proceed with ord...
2354 sym R (4628 sym/9 pcs)