Models and Diagnostics for Rasch Measurement Theory


[Up] [Top]

Documentation for package ‘rasch’ version 1.12.0

Help Pages

B C D E F G I J L P R S T W

-- B --

btl Fit comparative judgement models to paired comparisons
btl_dif DIF analysis for paired comparisons
btl_dimensionality Experimental residual dimensionality of paired comparisons
btl_efrm Fit the extended frame of reference model for paired comparisons
btl_equate Equate two paired-comparison calibrations through their common objects
btl_explanatory Fit an explanatory comparative judgement model
btl_information Information and targeting of a paired-comparison design
btl_next_pairs Recommend the next informative comparisons (adaptive step)
btl_transitivity Transitivity of paired comparisons

-- C --

chisq_detail Class-interval detail for one item's chi-square test of fit
combine_items Combine items into subtests and re-analyse
compare_fits Compare fitted Rasch models
ctt_table Traditional (classical test theory) statistics

-- D --

dependence_magnitude Estimate the magnitude of response dependence between two items
dif_anova Differential item functioning by residual analysis of variance
dif_contrasts Planned DIF contrasts
dif_posthoc Pairwise follow-up comparisons for a DIF term
dif_size DIF differences between factor levels
dimensionality_magnitude Magnitude of multidimensionality from a subtest analysis
dimensionality_test Residual-component test of unidimensionality
distractor_analysis Distractor analysis for multiple-choice items
distractor_rescore Propose polytomous option scores from the distractor evidence
drop_items Drop items and refit

-- E --

equate_tests Equate two test calibrations through their common items
explanatory_diagnostics Diagnose fixed departures from an explanatory model
explanatory_test Compare an explanatory model with its free calibration

-- F --

fit_summary_table Test-of-fit summary as a table
frame_invariance Test item invariance across frames

-- G --

guttman_table Guttman-ordered response matrix and reproducibility

-- I --

item_moments Category-score moments for a polytomous item

-- J --

judge_pair_surprise Unexpected judgements of one judge, pair by pair
judge_surprise Unexpected judgements of one judge

-- L --

lr_test Compare the partial credit and rating scale models

-- P --

pcml Estimate Rasch thresholds by pairwise conditional maximum likelihood
pcml_pc Estimate Rasch thresholds using a principal-component parameterisation
person_extrapolated Person measures with extrapolated extreme scores
person_wle Warm's weighted likelihood estimates by raw score
plot_btl Plot Bradley-Terry-Luce object locations
plot_btl_categories Plot polytomous-comparison category curves
plot_btl_dependence Plot a within-judge dependence effect
plot_btl_dim_map Residual map of the leading paired-comparison bimension
plot_btl_equate Plot a paired-comparison equating comparison
plot_btl_icc Plot an object characteristic curve
plot_btl_judge_map Unexpected-judgement map for one judge (pair level)
plot_btl_scree Scree of paired-comparison residual bimensions
plot_btl_targeting Targeting plot for a paired-comparison design
plot_btl_transitivity Consistency plot for paired-comparison transitivity
plot_btl_units Plot the frame units of a paired-comparison EFRM fit
plot_catfreq Plot category frequencies
plot_ccc Plot category probability curves
plot_distractors Plot multiple-choice option curves
plot_equate Plot a test-equating comparison
plot_facets Plot facet severities
plot_frames Plot frame units
plot_guttman Plot the Guttman scalogram
plot_icc Plot an item characteristic curve
plot_icc_frames Plot an item's characteristic curves across frames
plot_item_map Plot the item map (location against fit residual)
plot_kidmap Plot a kidmap
plot_pca Plot residual principal-component loadings
plot_pca_biplot Biplot of the first two residual components
plot_pcc Plot a person characteristic curve
plot_person_fit Plot person fit
plot_pimap Plot the person-item threshold distribution
plot_recovery Plot fitted against generating parameters
plot_resid_cor Plot the residual-correlation heatmap
plot_resid_dist Plot the fit residual distribution
plot_scree Scree plot of the residual components with parallel analysis
plot_tcc Plot the test characteristic curve
plot_threshold_map Plot the threshold map
plot_threshold_prob Plot threshold probability curves
plot_tif Plot the test information function
plot_wright Plot a Wright map

-- R --

rack_data Reshape repeated measurements for racked or stacked analysis
rasch Fit a Rasch model
rasch_efrm Fit the extended frame of reference model
rasch_explanatory Fit an explanatory Rasch model
rasch_mfrm Fit a many-facet Rasch model
relax_btl_explanatory Add a fixed object departure to an explanatory comparative judgement model
relax_explanatory Relax a nominated explanatory restriction
report_document Write an editable or print-ready analysis report
report_html Write a self-contained HTML report of a Rasch analysis
residual_correlations Residual correlations for local dependence (Yen's Q3)
residual_pca Principal components of the residual correlations
resolve_dif Resolve differential item functioning by iterative item splitting
resolve_frames Resolve items that do not hold across frames
run_app Launch the rasch point-and-click graphical interface

-- S --

save_item_plots Save a plot for every item
save_outputs Save the outputs of a Rasch analysis
save_person_plots Save a kidmap for every person
score_table Raw score to measure conversion table
simulate_btl Simulate paired-comparison data
simulate_btl_efrm Simulate paired-comparison EFRM data with differing frame units
simulate_efrm Simulate extended frame-of-reference data with differing units
simulate_mfrm Simulate many-facet Rasch data
simulate_rasch Simulate person-by-item Rasch data
sim_apply Apply a statistic across a simulation batch
sim_recovery Compare fitted and generating parameters
sim_replicate Replicate a simulation for Monte Carlo studies
split_items Split items by a person factor to resolve DIF
spread_test Spread-parameter test for dependence within subtests
stack_data Reshape repeated measurements for racked or stacked analysis

-- T --

tailored_analysis Tailored analysis for guessing
targeting_table Targeting and reliability summary as a table
test_information Test information function
threshold_index Enumerate item-category thresholds

-- W --

wright_map Draw a Wright map with WrightMap