<p><i>Note</i>. Mean-centered aggregated values (i.e., bias in each condition) were used as data. Therefore, residual variance is reduced. Absolute effect sizes η<sup>2</sup> should be interpreted as the respective factor’s relative contributions to the total amount of bias. To avoid overfit, models only included main effects and two-way interactions.</p><p>Explained Variance for Bias of Item Discrimination Parameter, Item Difficulty Parameter, and ICC Recovery for the Empirical Histogram Method.</p
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
University of Minnesota Ph.D. dissertation. August 2016. Major: Educational Psychology. Advisor: Mic...
A two-stage procedure for estimating item bias was examined with six indexes of item bias and with...
Possible underlying causes of item bias were examined using a simulation procedure. Data sets were ...
<p>Top panels depict bias for normal true latent distribution, bottom panels show bias for skewed tr...
In this study of polytomous items, the number of items and categories per item were varied to explor...
Possible underlying causes of item bias were exam-ined using a simulation procedure. Data sets were ...
This article examines the consequences of employing IRT item bias detection procedures with multidi...
<p>Top panels depict bias for normal true latent distribution, bottom panels show bias for skewed tr...
<p><i>Note</i>. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140163#po...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
Item response models often cannot calculate true individual response probabilities because of the ex...
Invest igations into item bias provide ' an empirical basis for the identification and eliminat...
This article examines the consequences of employ-ing IRT item bias detection procedures with multidi...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
University of Minnesota Ph.D. dissertation. August 2016. Major: Educational Psychology. Advisor: Mic...
A two-stage procedure for estimating item bias was examined with six indexes of item bias and with...
Possible underlying causes of item bias were examined using a simulation procedure. Data sets were ...
<p>Top panels depict bias for normal true latent distribution, bottom panels show bias for skewed tr...
In this study of polytomous items, the number of items and categories per item were varied to explor...
Possible underlying causes of item bias were exam-ined using a simulation procedure. Data sets were ...
This article examines the consequences of employing IRT item bias detection procedures with multidi...
<p>Top panels depict bias for normal true latent distribution, bottom panels show bias for skewed tr...
<p><i>Note</i>. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140163#po...
The aim of this study was to examine the precision of item parameter estimation in different sample ...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
Item response models often cannot calculate true individual response probabilities because of the ex...
Invest igations into item bias provide ' an empirical basis for the identification and eliminat...
This article examines the consequences of employ-ing IRT item bias detection procedures with multidi...
The effectiveness of several iterative methods of item response theory (IRT) item bias detection was...
University of Minnesota Ph.D. dissertation. August 2016. Major: Educational Psychology. Advisor: Mic...
A two-stage procedure for estimating item bias was examined with six indexes of item bias and with...