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1.
Establishing cut scores using the Angoff method requires panelists to evaluate every item on a test and make a probability judgment. This can be time-consuming when there are large numbers of items on the test. Previous research using resampling studies suggest that it is possible to recommend stable Angoff-based cut score estimates using a content-stratified subset of ?45 items. Recommendations from earlier work were directly applied in this study in two operational standard-setting meetings. Angoff cut scores from two panels of raters were collected at each study, wherein one panel established the cut score based on the entire test, and another comparable panel first used a proportionally stratified subset of 45 items, and subsequently used the entire test in recommending the cut scores. The cut scores recommended for the subset of items were compared to the cut scores recommended based on the entire test for the same panel, and a comparable independent panel. Results from both studies suggest that cut scores recommended using a subset of items are comparable (i.e., within one standard error) to the cut score estimates from the full test.  相似文献   

2.
An Angoff standard setting study generally yields judgments on a number of items by a number of judges (who may or may not be nested in panels). Variability associated with judges (and possibly panels) contributes error to the resulting cut score. The variability associated with items plays a more complicated role. To the extent that the mean item judgments directly reflect empirical item difficulties, the variability in Angoff judgments over items would not add error to the cut score, but to the extent that the mean item judgments do not correspond to the empirical item difficulties, variability in mean judgments over items would add error to the cut score. In this article, we present two generalizability-theory–based analyses of the proportion of the item variance that contributes to error in the cut score. For one approach, variance components are estimated on the probability (or proportion-correct) scale of the Angoff judgments, and for the other, the judgments are transferred to the theta scale of an item response theory model before estimating the variance components. The two analyses yield somewhat different results but both indicate that it is not appropriate to simply ignore the item variance component in estimating the error variance.  相似文献   

3.
Evidence to support the credibility of standard setting procedures is a critical part of the validity argument for decisions made based on tests that are used for classification. One area in which there has been limited empirical study is the impact of standard setting judge selection on the resulting cut score. One important issue related to judge selection is whether the extent of judges’ content knowledge impacts their perceptions of the probability that a minimally proficient examinee will answer the item correctly. The present article reports on two studies conducted in the context of Angoff‐style standard setting for medical licensing examinations. In the first study, content experts answered and subsequently provided Angoff judgments for a set of test items. After accounting for perceived item difficulty and judge stringency, answering the item correctly accounted for a significant (and potentially important) impact on expert judgment. The second study examined whether providing the correct answer to the judges would result in a similar effect to that associated with knowing the correct answer. The results suggested that providing the correct answer did not impact judgments. These results have important implications for the validity of standard setting outcomes in general and on judge recruitment specifically.  相似文献   

4.
Competency examinations in a variety of domains require setting a minimum standard of performance. This study examines the issue of whether judges using the two most popular methods for setting cut scores (Angoff and Nedelsky methods) use different sources of information when making their judgments. Thirty-one judges were assigned randomly to the two methods to set cut scores for a high school graduation test in reading comprehension. These ratings were then related to characteristics of the items as well as to empirically obtained p values. Results indicate that judges using the Angoff method use a wider variety of information and yield estimates closer to the actual p values. The characteristics of items used in the study were effective predictors of judges' ratings, but were far less effective in predicting p values  相似文献   

5.
One common phenomenon in Angoff standard setting is that panelists regress their ratings in toward the middle of the probability scale. This study describes two indices based on taking ratios of standard deviations that can be utilized with a scatterplot of item ratings versus expected probabilities of success to identify whether ratings are regressed in toward the middle of the probability scale. Results from a simulation study show that the standard deviation ratio indices can successfully detect ratings for hard and easy items that are regressed in toward the middle of the probability scale in Angoff standard‐setting data, where previously proposed indices often do not work as well to detect these effects. Results from a real data set show that, while virtually all raters improve from Round 1 to Round 2 as measured by previously developed indices, the standard deviation ratios in conjunction with a scatterplot of item ratings versus expected probabilities of success can identify individuals who may still be regressing their ratings in toward the middle of the probability scale even after receiving feedback. The authors suggest using the scatterplot along with the standard deviation ratio indices and other statistics for measuring the quality of Angoff standard‐setting data.  相似文献   

6.
This article introduces the Diagnostic Profiles (DP) standard setting method for setting a performance standard on a test developed from a cognitive diagnostic model (CDM), the outcome of which is a profile of mastered and not‐mastered skills or attributes rather than a single test score. In the DP method, the key judgment task for panelists is a decision on whether or not individual cognitive skill profiles meet the performance standard. A randomized experiment was carried out in which secondary mathematics teachers were randomly assigned to either the DP method or the modified Angoff method. The standard setting methods were applied to a test of student readiness to enter high school algebra (Algebra I). While the DP profile judgments were perceived to be more difficult than the Angoff item judgments, there was a high degree of agreement among the panelists for most of the profiles. In order to compare the methods, cut scores were generated from the DP method. The results of the DP group were comparable to the Angoff group, with less cut score variability in the DP group. The DP method shows promise for testing situations in which diagnostic information is needed about examinees and where that information needs to be linked to a performance standard.  相似文献   

7.
Cut scores, estimated using the Angoff procedure, are routinely used to make high-stakes classification decisions based on examinee scores. Precision is necessary in estimation of cut scores because of the importance of these decisions. Although much has been written about how these procedures should be implemented, there is relatively little literature providing empirical support for specific approaches to providing training and feedback to standard-setting judges. This article presents a multivariate generalizability analysis designed to examine the impact of training and feedback on various sources of error in estimation of cut scores for a standard-setting procedure in which multiple independent groups completed the judgments. The results indicate that after training, there was little improvement in the ability of judges to rank order items by difficulty but there was a substantial improvement in inter-judge consistency in centering ratings. The results also show a substantial group effect. Consistent with this result, the direction of change for the estimated cut score was shown to be group dependent.  相似文献   

8.
An important consideration in standard setting is recruiting a group of panelists with different experiences and backgrounds to serve on the standard-setting panel. This study uses data from 14 different Angoff standard settings from a variety of medical imaging credentialing programs to examine whether people with different professional roles and test development experiences tended to recommend higher or lower cut scores or were more or less accurate in their standard-setting judgments. Results suggested that there were not any statistically significant differences for different types of panelists in terms of the cut scores they recommended or the accuracy of their judgments. Discussion of what these results may mean for panelist selection and recruitment is provided.  相似文献   

9.
Setting performance standards is a judgmental process involving human opinions and values as well as technical and empirical considerations. Although all cut score decisions are by nature somewhat arbitrary, they should not be capricious. Judges selected for standard‐setting panels should have the proper qualifications to make the judgments asked of them; however, even qualified judges vary in expertise and in some cases, such as highly specialized areas or when members of the public are involved, it may be difficult to ensure that each member of a standard‐setting panel has the requisite expertise to make qualified judgments. Given the subjective nature of these types of judgments, and that a large part of the validity argument for an exam lies in the robustness of its passing standard, an examination of the influence of judge proficiency on the judgments is warranted. This study explores the use of the many‐facet Rasch model as a method for adjusting modified Angoff standard‐setting ratings based on judges’ proficiency levels. The results suggest differences in the severity and quality of standard‐setting judgments across levels of judge proficiency, such that judges who answered easy items incorrectly tended to perceive them as easier, but those who answered correctly tended to provide ratings within normal stochastic limits.  相似文献   

10.
The credibility of standard‐setting cut scores depends in part on two sources of consistency evidence: intrajudge and interjudge consistency. Although intrajudge consistency feedback has often been provided to Angoff judges in practice, more evidence is needed to determine whether it achieves its intended effect. In this randomized experiment with 36 judges, non‐numeric item‐level intrajudge consistency feedback was provided to treatment‐group judges after the first and second rounds of Angoff ratings. Compared to the judges in the control condition, those receiving the feedback significantly improved their intrajudge consistency, with the effect being stronger after the first round than after the second round. To examine whether this feedback has deleterious effects on between‐judge consistency, I also examined interjudge consistency at the cut score level and the item level using generalizability theory. The results showed that without the feedback, cut score variability worsened; with the feedback, idiosyncratic item‐level variability improved. These results suggest that non‐numeric intrajudge consistency feedback achieves its intended effect and potentially improves interjudge consistency. The findings contribute to standard‐setting feedback research and provide empirical evidence for practitioners planning Angoff procedures.  相似文献   

11.
12.
Historically, Angoff‐based methods were used to establish cut scores on the National Assessment of Educational Progress (NAEP). In 2005, the National Assessment Governing Board oversaw multiple studies aimed at evaluating the reliability and validity of Bookmark‐based methods via a comparison to Angoff‐based methods. As the Board considered adoption of Bookmark‐based methods, it considered several criteria, including reliability of the cut scores, validity of the cut scores as evidenced by comparability of results to those from Angoff, and procedural validity as evidenced by panelist understanding of the method tasks and instructions and confidence in the results. As a result of their review, a Bookmark‐based method was adopted for NAEP, and has been used since that time. This article goes beyond the Governing Board's initial evaluations to conduct a systematic review of 27 studies in NAEP research conducted over 15 years. This research is used to evaluate Bookmark‐based methods on key criteria originally considered by the Governing Board. Findings suggest that Bookmark‐based methods have comparable reliability, resulting cut scores, and panelist evaluations to Angoff. Given that Bookmark‐based methods are shorter in duration and less costly, Bookmark‐based methods may be preferable to Angoff for NAEP standard setting.  相似文献   

13.
Standard setting methods such as the Angoff method rely on judgments of item characteristics; item response theory empirically estimates item characteristics and displays them in item characteristic curves (ICCs). This study evaluated several indexes of rater fit to ICCs as a method for judging rater accuracy in their estimates of expected item performance for target groups of test-takers. Simulated data were used to compare adequately fitting ratings to poorly fitting ratings at various target competence levels in a simulated two stage standard setting study. The indexes were then applied to a set of real ratings on 66 items evaluated at 4 competence thresholds to demonstrate their relative usefulness for gaining insight into rater “fit.” Based on analysis of both the simulated and real data, it is recommended that fit indexes based on the absolute deviations of ratings from the ICCs be used, and those based on the standard errors of ratings should be avoided. Suggestions are provided for using these indexes in future research and practice.  相似文献   

14.
Evidence of stable standard setting results over panels or occasions is an important part of the validity argument for an established cut score. Unfortunately, due to the high cost of convening multiple panels of content experts, standards often are based on the recommendation from a single panel of judges. This approach implicitly assumes that the variability across panels will be modest, but little evidence is available to support this assertion. This article examines the stability of Angoff standard setting results across panels. Data were collected for six independent standard setting exercises, with three panels participating in each exercise. The results show that although in some cases the panel effect is negligible, for four of the six data sets the panel facet represented a large portion of the overall error variance. Ignoring the often hidden panel/occasion facet can result in artificially optimistic estimates of the cut score stability. Results based on a single panel should not be viewed as a reasonable estimate of the results that would be found over multiple panels. Instead, the variability seen in a single panel can best be viewed as a lower bound of the expected variability when the exercise is replicated.  相似文献   

15.
This article illustrates five different methods for estimating Angoff cut scores using item response theory (IRT) models. These include maximum likelihood (ML), expected a priori (EAP), modal a priori (MAP), and weighted maximum likelihood (WML) estimators, as well as the most commonly used approach based on translating ratings through the test characteristic curve (i.e., the IRT true‐score (TS) estimator). The five methods are compared using a simulation study and a real data example. Results indicated that the application of different methods can sometimes lead to different estimated cut scores, and that there can be some key differences in impact data when using the IRT TS estimator compared to other methods. It is suggested that one should carefully think about their choice of methods to estimate ability and cut scores because different methods have distinct features and properties. An important consideration in the application of Bayesian methods relates to the choice of the prior and the potential bias that priors may introduce into estimates.  相似文献   

16.
《Educational Assessment》2013,18(4):291-304
School districts are under increasing pressure to demonstrate that students are competent in various skills, such as reading and mathematics. Often, demonstrating competence involves comparing performance on assessments to a standard of performance, as embodied in a test score. These scores, called cutscores, separate competent and noncompetent examinees. Because school districts have varied sources of data to inform cutscore decisions, various methods are available for suggesting cutscores. In 2 studies, we examine a selection of methods for arriving at rational and defensible cutscores in school districts. Methods examined are the Angoff (1971) method; the borderline and contrasting groups methods; and 2 new methods, 1 based on course enrollment and 1 based on expert expectations. In Study 1, the Angoff, borderline group, and course enrollment results were consistent, whereas in Study 2, the Angoff and professional judgment methods yielded suggested cutscores that were lower than the borderline group method. Suggestions for further study include the reaction of teachers to the cutscore-setting methods, the effect of different teacher attributes on the results of cutscore-setting methods, and the efficiency of and most effective order for employing the various methods.  相似文献   

17.
Standard-setting studies utilizing procedures such as the Bookmark or Angoff methods are just one component of the complete standard-setting process. Decision makers ultimately must determine what they believe to be the most appropriate standard or cut score to use, employing the input of the standard-setting panelists as one piece of information among multiple sources. However, guidance for weighing the various components is limited. The current article describes considerations about data that are used to make standard-setting decisions, as previously outlined by Geisinger (1991) . The ten points provided by Geisinger have been expanded as they relate to shifts in educational policy and practice in educational measurement. They have been amended with six new components as well. The new considerations addressed are smoothing across grades, raising standards in progression (over grades or over time), opportunity to learn or instructional validity, input from other groups, equating or linking to previous standards, and organizational vision and goals .  相似文献   

18.
This research evaluated the impact of a common modification to Angoff standard‐setting exercises: the provision of examinee performance data. Data from 18 independent standard‐setting panels across three different medical licensing examinations were examined to investigate whether and how the provision of performance information impacted judgments and the resulting cut scores. Results varied by panel but in general indicated that both the variability among the panelists and the resulting cut scores were affected by the data. After the review of performance data, panelist variability generally decreased. In addition, for all panels and examinations pre‐ and post‐data cut scores were significantly different. Investigation of the practical significance of the findings indicated that nontrivial fail rate changes were associated with the cut score changes for a majority of standard‐setting exercises. This study is the first to provide a large‐scale, systematic evaluation of the impact of a common standard setting practice, and the results can provide practitioners with insight into how the practice influences panelist variability and resulting cut scores.  相似文献   

19.
Despite being widely used and frequently studied, the Angoff standard setting procedure has received little attention with respect to an integral part of the process: how judges incorporate examinee performance data in the decision‐making process. Without performance data, subject matter experts have considerable difficulty accurately making the required judgments. Providing data introduces the very real possibility that judges will turn their content‐based judgments into norm‐referenced judgments. This article reports on three Angoff standard setting panels for which some items were randomly assigned to have incorrect performance data. Judges were informed that some of the items were accompanied by inaccurate data, but were not told which items they were. The purpose of the manipulation was to assess the extent to which changing the instructions given to the judges would impact the extent to which they relied on the performance data. The modified instructions resulted in the judges making less use of the performance data than judges participating in recent parallel studies. The relative extent of the change judges made did not appear to be substantially influenced by the accuracy of the data.  相似文献   

20.
Judgmental standard-setting methods, such as the Angoff(1971) method, use item performance estimates as the basis for determining the minimum passing score (MPS). Therefore, the accuracy, of these item peformance estimates is crucial to the validity of the resulting MPS. Recent researchers (Shepard, 1995; Impara & Plake, 1998; National Research Council. 1999) have called into question the ability of judges to make accurate item performance estimates for target subgroups of candidates, such as minimally competent candidates. The propose of this study was to examine the intra- and inter-rater consistency of item performance estimates from an Angoff standard setting. Results provide evidence that item pelformance estimates were consistent within and across panels within and across years. Factors that might have influenced this high degree of reliability, in the item performance estimates in a standard setting study are discussed.  相似文献   

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