Chi-square techniques for testing goodness-of-fit in item response theory are shown to give incorrect results. A new measure, CB, based on cumulants is proposed which avoids the arbitrary nature of interval creation found in chi-square techniques. The distribution of CB is estimated using Monte Carlo techniques and critical values for testing goodness-of-fit are given
Many item-fit statistics have been proposed for assessing whether the responses to test items aggre...
This study, to assess the robustness of Item Response Theory (IRT) equating to violation of the cond...
The main purpose of this master thesis is to improve the clasical chi square goodness of fit test so...
Chi-square techniques for testing goodness-of-fit in item response theory are shown to give incorrec...
New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carl...
One aspect of evaluating model-data fit in the context of Item Response Theory involves assessing it...
The properties of Pearson’s goodness-of-fit test, as used in density forecast evaluation, income dis...
The chi-square type test statistic is the most commonly used test in terms of mea-suring testing goo...
Despite frequent use of the adjusted chi-square to degrees of freedom ratio (χ2/df) test for Item Re...
A study was conducted to evaluate four goodness-of- fit procedures using data simulation techniques...
Item response theory (IRT) modeling is a statistical technique that is being widely applied in the f...
Many item-fit statistics have been proposed for assessing whether the responses to test items ag-gre...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
Likelihood ratio chi square tests for nested models are typically used to determine model significan...
Despite the well-known theoretical advantages of item response theory (IRT) over clas-sical test the...
Many item-fit statistics have been proposed for assessing whether the responses to test items aggre...
This study, to assess the robustness of Item Response Theory (IRT) equating to violation of the cond...
The main purpose of this master thesis is to improve the clasical chi square goodness of fit test so...
Chi-square techniques for testing goodness-of-fit in item response theory are shown to give incorrec...
New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carl...
One aspect of evaluating model-data fit in the context of Item Response Theory involves assessing it...
The properties of Pearson’s goodness-of-fit test, as used in density forecast evaluation, income dis...
The chi-square type test statistic is the most commonly used test in terms of mea-suring testing goo...
Despite frequent use of the adjusted chi-square to degrees of freedom ratio (χ2/df) test for Item Re...
A study was conducted to evaluate four goodness-of- fit procedures using data simulation techniques...
Item response theory (IRT) modeling is a statistical technique that is being widely applied in the f...
Many item-fit statistics have been proposed for assessing whether the responses to test items ag-gre...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
Likelihood ratio chi square tests for nested models are typically used to determine model significan...
Despite the well-known theoretical advantages of item response theory (IRT) over clas-sical test the...
Many item-fit statistics have been proposed for assessing whether the responses to test items aggre...
This study, to assess the robustness of Item Response Theory (IRT) equating to violation of the cond...
The main purpose of this master thesis is to improve the clasical chi square goodness of fit test so...
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