首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献，搜索用时 515 毫秒
1.
Sometimes, test‐takers may not be able to attempt all items to the best of their ability (with full effort) due to personal factors (e.g., low motivation) or testing conditions (e.g., time limit), resulting in poor performances on certain items, especially those located toward the end of a test. Standard item response theory (IRT) models fail to consider such testing behaviors. In this study, a new class of mixture IRT models was developed to account for such testing behavior in dichotomous and polytomous items, by assuming test‐takers were composed of multiple latent classes and by adding a decrement parameter to each latent class to describe performance decline. Parameter recovery, effect of model misspecification, and robustness of the linearity assumption in performance decline were evaluated using simulations. It was found that the parameters in the new models were recovered fairly well by using the freeware WinBUGS; the failure to account for such behavior by fitting standard IRT models resulted in overestimation of difficulty parameters on items located toward the end of the test and overestimation of test reliability; and the linearity assumption in performance decline was rather robust. An empirical example is provided to illustrate the applications and the implications of the new class of models.  相似文献   

2.
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree‐based IRT framework for modeling responses and omissions jointly, taking into account that test takers as well as items can contribute to the two types of omissions. The proposed framework covers several existing models for missing responses, and many IRTree models can be estimated using standard statistical software. Further, simulated data is used to show that ignoring missing responses is less robust than often considered. Finally, as an illustration of its applicability, the IRTree approach is applied to data from the 2009 PISA reading assessment.  相似文献   

3.
The nature of anatomy education has changed substantially in recent decades, though the traditional multiple‐choice written examination remains the cornerstone of assessing students' knowledge. This study sought to measure the quality of a clinical anatomy multiple‐choice final examination using item response theory (IRT) models. One hundred seventy‐six students took a multiple‐choice clinical anatomy examination. One‐ and two‐parameter IRT models (difficulty and discrimination parameters) were used to assess item quality. The two‐parameter IRT model demonstrated a wide range in item difficulty, with a median of ?1.0 and range from ?2.0 to 0.0 (25th to 75th percentile). Similar results were seen for discrimination (median 0.6; range 0.4–0.8). The test information curve achieved maximum discrimination for an ability level one standard deviation below the average. There were 15 items with standardized loading less than 0.3, which was due to several factors: two items had two correct responses, one was not well constructed, two were too easy, and the others revealed a lack of detailed knowledge by students. The test used in this study was more effective in discriminating students of lower ability than those of higher ability. Overall, the quality of the examination in clinical anatomy was confirmed by the IRT models. Anat Sci Educ 3:17–24, 2010. © 2009 American Association of Anatomists.  相似文献   

4.
This article describes an ongoing project to develop a formative, inferential reading comprehension assessment of causal story comprehension. It has three features to enhance classroom use: equated scale scores for progress monitoring within and across grades, a scale score to distinguish among low‐scoring students based on patterns of mistakes, and a reading efficiency index. Instead of two response types for each multiple‐choice item, correct and incorrect, each item has three response types: correct and two incorrect response types. Prior results on reliability, convergent and discriminant validity, and predictive utility of mistake subscores are briefly described. The three‐response‐type structure of items required rethinking the item response theory (IRT) modeling. IRT‐modeling results are presented, and implications for formative assessments and instructional use are discussed.  相似文献   

5.
According to a popular belief, test takers should trust their initial instinct and retain their initial responses when they have the opportunity to review test items. More than 80 years of empirical research on item review, however, has contradicted this belief and shown minor but consistently positive score gains for test takers who changed answers they found to be incorrect during review. This study reanalyzed the problem of the benefits of answer changes using item response theory modeling of the probability of an answer change as a function of the test taker’s ability level and the properties of items. Our empirical results support the popular belief and reveal substantial losses due to changing initial responses for all ability levels. Both the contradiction of the earlier research and support of the popular belief are explained as a manifestation of Simpson’s paradox in statistics.  相似文献   

6.
The current study investigated how item formats and their inherent affordances influence test‐takers’ cognition under uncertainty. Adult participants solved content‐equivalent math items in multiple‐selection multiple‐choice and four alternative grid formats. The results indicated that participants’ affirmative response tendency (i.e., judge the given information as True) was affected by the presence of a grid, type of grid options, and their visual layouts. The item formats further affected the test scores obtained from the alternatives keyed True and the alternatives keyed False, and their psychometric properties. The current results suggest that the affordances rendered by item design can lead to markedly different test‐taker behaviors and can potentially influence test outcomes. They emphasize that a better understanding of the cognitive implications of item formats could potentially facilitate item design decisions for large‐scale educational assessments.  相似文献   

7.
The psychometric literature provides little empirical evaluation of examinee test data to assess essential psychometric properties of innovative items. In this study, examinee responses to conventional (e.g., multiple choice) and innovative item formats in a computer-based testing program were analyzed for IRT information with the three-parameter and graded response models. The innovative item types considered in this study provided more information across all levels of ability than multiple-choice items. In addition, accurate timing data captured via computer administration were analyzed to consider the relative efficiency of the multiple choice and innovative item types. As with previous research, multiple-choice items provide more information per unit time. Implications for balancing policy, psychometric, and pragmatic factors in selecting item formats are also discussed.  相似文献   

8.
The humble multiple-choice test is very widely used within education at all levels, but its susceptibility to guesswork makes it a suboptimal assessment tool. The reliability of a multiple-choice test is partly governed by the number of items it contains; however, longer tests are more time consuming to take, and for some subject areas, it can be very hard to create new test items that are sufficiently distinct from previously used items. A number of more sophisticated multiple-choice test formats have been proposed dating back at least 60?years, many of which offer significantly improved test reliability. This paper offers a new way of comparing these alternative test formats, by modelling each one in terms of the range of possible test taker responses it enables. Looking at the test formats in this way leads to the realisation that the need for guesswork is reduced when test takers are given more freedom to express their beliefs. Indeed, guesswork is eliminated entirely when test takers are able to partially order the answer options within each test item. The paper aims to strengthen the argument for using more sophisticated multiple-choice test formats, especially for high-stakes summative assessment.  相似文献   

9.
Many large‐scale assessments are designed to yield two or more scores for an individual by administering multiple sections measuring different but related skills. Multidimensional tests, or more specifically, simple structured tests, such as these rely on multiple multiple‐choice and/or constructed responses sections of items to generate multiple scores. In the current article, we propose an extension of the hierarchical rater model (HRM) to be applied with simple structured tests with constructed response items. In addition to modeling the appropriate trait structure, the multidimensional HRM (M‐HRM) presented here also accounts for rater severity bias and rater variability or inconsistency. We introduce the model formulation, test parameter recovery with a focus on latent traits, and compare the M‐HRM to other scoring approaches (unidimensional HRMs and a traditional multidimensional item response theory model) using simulated and empirical data. Results show more precise scores under the M‐HRM, with a major improvement in scores when incorporating rater effects versus ignoring them in the traditional multidimensional item response theory model.  相似文献   

10.
In an article in the Winter 2011 issue of the Journal of Educational Measurement, van der Linden, Jeon, and Ferrara suggested that “test takers should trust their initial instincts and retain their initial responses when they have the opportunity to review test items.” They presented a complex IRT model that appeared to show that students would be worse off by changing answers. As noted in a subsequent erratum, this conclusion was based on flawed data, and that the correct data could not be analyzed by their method because the model failed to converge. This left their basic question on the value of answer changing unanswered. A much more direct approach is to simply count the number of examinees whose scores after an opportunity to change answers are higher, lower, or the same as their initial scores. Using the same data set as the original article, an overwhelming majority of the students received higher scores after the opportunity to change answers.  相似文献   

11.
This article considers potential problems that can arise in estimating a unidimensional item response theory (IRT) model when some test items are multidimensional (i.e., show a complex factorial structure). More specifically, this study examines (1) the consequences of model misfit on IRT item parameter estimates due to unintended minor item‐level multidimensionality, and (2) whether a Projection IRT model can provide a useful remedy. A real‐data example is used to illustrate the problem and also is used as a base model for a simulation study. The results suggest that ignoring item‐level multidimensionality might lead to inflated item discrimination parameter estimates when the proportion of multidimensional test items to unidimensional test items is as low as 1:5. The Projection IRT model appears to be a useful tool for updating unidimensional item parameter estimates of multidimensional test items for a purified unidimensional interpretation.  相似文献   

12.
Computer-based educational assessments often include items that involve drag-and-drop responses. There are different ways that drag-and-drop items can be laid out and different choices that test developers can make when designing these items. Currently, these decisions are based on experts’ professional judgments and design constraints, rather than empirical research, which might threaten the validity of interpretations of test outcomes. To this end, we investigated the effect of drag-and-drop item features on test-taker performance and response strategies with a cognition-centered approach. Four hundred and seventy-six adult participants solved content-equivalent drag-and-drop mathematics items under five design variants. Results showed that: (a) test takers’ performance and response strategies were affected by the experimental manipulations, and (b) test takers mostly used cognitively efficient response strategies regardless of the manipulated item features. Implications of the findings are provided to support test developers’ design decisions.  相似文献   

13.
In this article we present a general approach not relying on item response theory models (non‐IRT) to detect differential item functioning (DIF) in dichotomous items with presence of guessing. The proposed nonlinear regression (NLR) procedure for DIF detection is an extension of method based on logistic regression. As a non‐IRT approach, NLR can be seen as a proxy of detection based on the three‐parameter IRT model which is a standard tool in the study field. Hence, NLR fills a logical gap in DIF detection methodology and as such is important for educational purposes. Moreover, the advantages of the NLR procedure as well as comparison to other commonly used methods are demonstrated in a simulation study. A real data analysis is offered to demonstrate practical use of the method.  相似文献   

14.
Even though guessing biases difficulty estimates as a function of item difficulty in the dichotomous Rasch model, assessment programs with tests which include multiple‐choice items often construct scales using this model. Research has shown that when all items are multiple‐choice, this bias can largely be eliminated. However, many assessments have a combination of multiple‐choice and constructed response items. Using vertically scaled numeracy assessments from a large‐scale assessment program, this article shows that eliminating the bias on estimates of the multiple‐choice items also impacts on the difficulty estimates of the constructed response items. This implies that the original estimates of the constructed response items were biased by the guessing on the multiple‐choice items. This bias has implications for both defining difficulties in item banks for use in adaptive testing composed of both multiple‐choice and constructed response items, and for the construction of proficiency scales.  相似文献   

15.
Mokken scale analysis (MSA) is a probabilistic‐nonparametric approach to item response theory (IRT) that can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models. This instructional module provides an introduction to MSA as a probabilistic‐nonparametric framework in which to explore measurement quality, with an emphasis on its application in the context of educational assessment. The module describes both dichotomous and polytomous formulations of the MSA model. Examples of the application of MSA to educational assessment are provided using data from a multiple‐choice physical science assessment and a rater‐mediated writing assessment.  相似文献   

16.
In observed‐score equipercentile equating, the goal is to make scores on two scales or tests measuring the same construct comparable by matching the percentiles of the respective score distributions. If the tests consist of different items with multiple categories for each item, a suitable model for the responses is a polytomous item response theory (IRT) model. The parameters from such a model can be utilized to derive the score probabilities for the tests and these score probabilities may then be used in observed‐score equating. In this study, the asymptotic standard errors of observed‐score equating using score probability vectors from polytomous IRT models are derived using the delta method. The results are applied to the equivalent groups design and the nonequivalent groups design with either chain equating or poststratification equating within the framework of kernel equating. The derivations are presented in a general form and specific formulas for the graded response model and the generalized partial credit model are provided. The asymptotic standard errors are accurate under several simulation conditions relating to sample size, distributional misspecification and, for the nonequivalent groups design, anchor test length.  相似文献   

17.
Bock, Muraki, and Pfeiffenberger (1988) proposed a dichotomous item response theory (IRT) model for the detection of differential item functioning (DIF), and they estimated the IRT parameters and the means and standard deviations of the multiple latent trait distributions. This IRT DIF detection method is extended to the partial credit model (Masters, 1982; Muraki, 1993) and presented as one of the multiple-group IRT models. Uniform and non-uniform DIF items and heterogeneous latent trait distributions were used to generate polytomous responses of multiple groups. The DIF method was applied to this simulated data using a stepwise procedure. The standardized DIF measures for slope and item location parameters successfully detected the non-uniform and uniform DIF items as well as recovered the means and standard deviations of the latent trait distributions.This stepwise DIF analysis based on the multiple-group partial credit model was then applied to the National Assessment of Educational Progress (NAEP) writing trend data.  相似文献   

18.
In the presence of test speededness, the parameter estimates of item response theory models can be poorly estimated due to conditional dependencies among items, particularly for end‐of‐test items (i.e., speeded items). This article conducted a systematic comparison of five‐item calibration procedures—a two‐parameter logistic (2PL) model, a one‐dimensional mixture model, a two‐step strategy (a combination of the one‐dimensional mixture and the 2PL), a two‐dimensional mixture model, and a hybrid model‐–by examining how sample size, percentage of speeded examinees, percentage of missing responses, and way of scoring missing responses (incorrect vs. omitted) affect the item parameter estimation in speeded tests. For nonspeeded items, all five procedures showed similar results in recovering item parameters. For speeded items, the one‐dimensional mixture model, the two‐step strategy, and the two‐dimensional mixture model provided largely similar results and performed better than the 2PL model and the hybrid model in calibrating slope parameters. However, those three procedures performed similarly to the hybrid model in estimating intercept parameters. As expected, the 2PL model did not appear to be as accurate as the other models in recovering item parameters, especially when there were large numbers of examinees showing speededness and a high percentage of missing responses with incorrect scoring. Real data analysis further described the similarities and differences between the five procedures.  相似文献   

19.
An odds ratio approach (ORA) under the framework of a nested logit model was proposed for evaluating differential distractor functioning (DDF) in multiple‐choice items and was compared with an existing ORA developed under the nominal response model. The performances of the two ORAs for detecting DDF were investigated through an extensive simulation study. The impact of model misfit on the performance of each ORA was also examined. To facilitate practical interpretation of each method, effect size measures were obtained and compared. Finally, data from a college‐level mathematics placement test were analyzed using the two approaches.  相似文献   

20.
The rise of computer‐based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple‐choice items. In particular, very short response time—termed rapid guessing—has been shown to indicate disengaged test taking, regardless whether it occurs in high‐stakes or low‐stakes testing contexts. This article examines rapid‐guessing behavior—its theoretical conceptualization and underlying assumptions, methods for identifying it, misconceptions regarding its dynamics, and the contextual requirements for its proper interpretation. It is argued that because it does not reflect what a test taker knows and can do, a rapid guess to an item represents a choice by the test taker to momentarily opt out of being measured. As a result, rapid guessing tends to negatively distort scores and thereby diminish validity. Therefore, because rapid guesses do not contribute to measurement, it makes little sense to include them in scoring.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号