Description Usage Arguments Details Value Author(s) Examples
First the IRT model should be defined using defineModel
. Afterwards,
call runModel
with the argument returned by defineModel
to start the estimation.
The last step then is to create a results frame using getResults
.
1 2 3 4 5 6 7 8 | getResults( runModelObj, overwrite = FALSE, Q3 = TRUE, q3theta = c("pv", "wle", "eap"),
q3MinObs = 0, q3MinType = c("singleObs", "marginalSum"), omitFit = FALSE,
omitRegr = FALSE, omitWle = FALSE, omitPV = FALSE, abs.dif.bound = 0.6,
sig.dif.bound = 0.3, p.value = 0.9, pvMethod = c("regular", "bayesian"),
nplausible = NULL, ntheta = 2000, normal.approx = FALSE, samp.regr = FALSE,
theta.model=FALSE, np.adj=8, group = NULL, beta_groups = TRUE, level = .95, n.iter = 1000,
n.burnin = 500, adj_MH = .5, adj_change_MH = .05, refresh_MH = 50,
accrate_bound_MH = c(.45, .55), print_iter = 20, verbose = TRUE)
|
runModelObj |
The object returned by |
overwrite |
Logical. Should result files be overwritten if exist? |
Q3 |
Logical. Estimate the Q3 statistic according to Yen (1984)? Note: this is only
possible for uni-dimensional models. If |
q3theta |
Specify whether the Q3 statistic should be estimated using PVs, WLEs or EAPs as the theta variable. |
q3MinObs |
Q3 statistic might be untrustworthy if item covariance estimation is based on very few onservations. Define the minimum number of observation which should be fulfilled for Q3 estimation. |
q3MinType |
If |
omitFit |
Logical. Should item fit values be included into the results? |
omitRegr |
Logical. Should regression parameters and their standard errors be included into the results? |
omitWle |
Logical. Should WLE estimates be included into the results? |
omitPV |
Logical. Should plausible values be included into the results? |
abs.dif.bound |
Applies only if DIF analyses are performed before. When DIF-Parameter are evaluated, this specifies the critical value for absolute DIF. |
sig.dif.bound |
Applies only if DIF analyses are performed before. When DIF-Parameter are evaluated, this specifies the critical value for confidence interval DIF. |
p.value |
Applies only if DIF analyses are performed before. When DIF-Parameter are evaluated, this specifies the critical p-value for confidence interval DIF. |
pvMethod |
Applies only if |
nplausible |
Applies only if |
ntheta |
Applies only if |
normal.approx |
Applies only if |
samp.regr |
Applies only if |
theta.model |
Applies only if |
np.adj |
Applies only if |
group |
Applies only if |
beta_groups |
Applies only if |
level |
Applies only if |
n.iter |
Applies only if |
n.burnin |
Applies only if |
adj_MH |
Applies only if |
adj_change_MH |
Applies only if |
refresh_MH |
Applies only if |
accrate_bound_MH |
Applies only if |
print_iter |
Applies only if |
verbose |
Applies only if |
If defineModel
was run with software Conquest, a path argument ('dir'
)
is necessary. The path argument is optional for software TAM. If 'dir'
was
specified, getResults
additionally writes its output into the specified folder,
using the 'analysis.name'
argument for file naming. Otherwise, getResults
only returnes the result data frame.
A data frame in the long format with ten columns.
model |
The name of the model (as specified by the user in |
source |
The estimation software (i.e, conquest or TAM) |
var1 |
The variable name for which the corresponding value is given, i.e. its indicator. |
var2 |
Additional variable information if necessary. |
type |
Type of coefficient (for example, random or fixed). |
indicator.group |
The type of the group the corresponding variable belongs to. |
group |
The group the corresponding variable belongs to. Note: group is nested within |
par |
The type of the parameter. |
derived.par |
Optionally: The derived parameter. |
value |
The value of the corresponding estimate. |
Sebastian Weirich
1 | # see examples in the help file of defineModel()
|
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