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## Index

ability
  The ability estimates
ability estimates
  Step 4 : the | The ability estimates
aggregated
  The data aggregation
algorithms
  The algorithm
all the data points from the plots
  Step 4 : the
asymptote
  The three parameters logistic | The item parameter
asymptote mean
  The asymptote prior
asymptote weight
  The asymptote prior
back
  Assistant usage
bandwidth
  The kernel smoothing factor
binary
  The one parameter logistic | The two parameters logistic | The three parameters logistic
binary type
  Binary type
cancel
  Assistant usage
Chi-square
  The test of fit | The test of local
classical test theory statistics
  The classical test theory
converged
  The estimation summary
correction key
  Step 1 : the | Multiple choice type
correlation (discrimination)
  The classical test theory
Cronbach's alpha
  The classical test theory | The classical test theory
data source
  The estimation summary
data type
  Step 2 : the
degree of freedom
  The test of fit | The test of local
delete a sheet
  The report
difficulties
  The classical test theory
difficulty
  The one parameter logistic
discrimination
  The one parameter logistic
discriminations
  The classical test theory
display language
  Installation | The language
edit
  The report
eirt
  Assistant usage | The report | Settings
estimation methode
  The estimation summary
first middle point
  The first middle point
graded
  The nominal response model | The nominal response model | The graded response model
graded response model
  The nominal response model | The graded response model
graded type
  Graded type
guessing
  The three parameters logistic
help
  Assistant usage
ICC
  The item and option | All the data points
ignored
  The estimation summary
information functions
  The information functions | The information functions | All the data points
installation language
  Installation
installation program
  Installation
item and option characteristic curves
  The item and option
item correlation
  The classical test theory
item labels
  Step 1 : the
item means
  The classical test theory
item parameters
  The item parameters
kernel estimator
  The kernel estimator
last middle point
  The last middle point
macro activation
  Installation
mean (difficulty)
  The classical test theory
minimal
  Graded type
missing values
  Step 2 : the
model
  Step 3 : the | The estimation summary
multiple choice
  The nominal response model
multiple choice type
  Multiple choice type
next
  Assistant usage
nominal response model
  The nominal response model
number of item
  The classical test theory
number of iteration
  The number of EM | The number of Newton
number of missing value
  The classical test theory
number of quadrature
  The number of quadrature
number of subject
  The classical test theory
OCC
  The item and option | All the data points
ok
  Settings
one parameter logistic model
  The one parameter logistic
p-value
  The test of fit | The test of local
penalization
  The penalization smoothing factor
penalized maximum marginal likelihood estimator
  The penalized maximum marginal
precision
  The precision
prior distributions
  The priors
quadratures
  The quadratures
s.e.
  The item parameter | The ability estimates
save
  The report
score mean
  The classical test theory
score standard deviation
  The classical test theory
selection
  Step 1 : the
settings
  Installation | Settings | Settings
slope
  The one parameter logistic | The two parameters logistic | The three parameters logistic | The nominal response model | The graded response model | The item parameter
slope mean
  The slope prior
slope standard deviation
  The slope prior
smoothing parameter
  The estimation summary
standard deviation
  The classical test theory
standard error
  The item parameter | The ability estimates
standard errors
  The standard errors
start the assistant
  Assistant usage
subject labels
  Step 1 : the
succes
  Binary type
test of fit
  The test of fit
test of local independance
  Step 4 : the | The test of local
three parameters logistic model
  The three parameters logistic
threshold
  The one parameter logistic | The two parameters logistic | The three parameters logistic | The nominal response model | The graded response model | The item parameter
threshold mean
  The threshold prior
threshold standard deviation
  The threshold prior
tools
  Assistant usage | Settings
two parameters logistic model
  The two parameters logistic