The aim of the study was to examine the common items in the mixed format (e.g., multiple-choices and essay items) contain parameter drifts in the test equating processes performed with the common item non-equivalent groups design. In this study, which was carried out using Monte Carlo simulation with a fully crossed design, the factors of test length (30 and 50), sample size (1000 and 3000), common item ratio (30 and 40%), ratio of items with item parameter drift (IPD) in common items (20 and 30%), location of common items in tests (at the beginning, randomly distributed, and at the end) and IPD size in multiple-choice items (low [0.2] and high [1.0]) were studied. Four test forms were created, and two test forms do not contain parameter drifts. After the parameter drift was performed on the first of the other two test forms, the parameter drift was again performed on the second test form. Test equating results were compared using the root mean squared error (RMSE) value. As a result of the research, ratio of items with IPD in common items, IPD size in multiple-choice items, common item ratio, sample size and test length on equating errors were found to be significant.

Item parameter drift (IPD) is the systematic differentiation of parameter values of items over time due to various reasons. If it occurs in computer adaptive tests (CAT), it causes errors in the estimation of item and ability parameters. Identification of the underlying conditions of this situation in CAT is important for estimating item and ability parameters with minimum error. This study examines the measurement precision of IPD and its impacts on the test information function (TIF) in CAT administrations. This simulation study compares sample size (1000, 5000), IPD size (0.00 logit, 0.50 logit, 0.75 logit, 1.00 logit), percentage of items containing IPD (0%, 5%, 10%, 20%), three time points and item bank size (200, 500, 1000) conditions. To examine the impacts of the conditions on ability estimations; measurement precision, and TIF values were calculated, and factorial analysis of variance (ANOVA) for independent samples was carried out to examine whether there were any differences between estimations in terms of these factors. The study found that an increase in the number of measurements using item bank with IPD items results in a decrease in measurement precision and the amount of information the test provides. Factorial ANOVA for independent samples revealed that measurements precision and TIF differences are mostly statistically significant. Although all IPD conditions negatively affect measurement precision and TIF, it has been shown that sample size and item bank size generally do not have an increasing or decreasing effect on these factors.

The purpose of this research is to examine the effect of gender on measurement and evaluation competency using meta-analysis. By statistically combining data obtained from various studies on a given subject, meta-analysis attempts to reach a general conclusion on the results of these studies. For this purpose, studies on general competency perceptions on measurement and evaluation were collected by a literature review and 17 studies were included in the analysis. Effect sizes were calculated in 95% confidence intervals for these studies. Studies were evaluated according to the random effects model. Gender was found out to be an ineffective independent variable in competency perceptions on measurement and evaluation.