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1.
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
2.
This article describes a method for identifying test items as disability neutral for children with vision and motor disabilities. Graduate students rated 130 items of the Preschool Language Scale and obtained inter‐rater correlation coefficients of 0.58 for ratings of items as disability neutral for children with vision disability, and 0.77 for ratings of items as disability neutral for children with motor disability. These ratings were used to create three item sets considered disability neutral for children with vision disability, motor disability, or both disabilities. Two methods for scoring the item sets were identified: scoring each set as a partially administered developmental test, or computing standard scores based upon pro‐rated raw score totals. The pro‐rated raw score method generated standard scores that were significantly inflated and therefore less useful for the assessment purposes than the ratio quotient method. This research provides a test accommodation technique for assessing children with multiple disabilities. 相似文献
3.
Machine learning has been frequently employed to automatically score constructed response assessments. However, there is a lack of evidence of how this predictive scoring approach might be compromised by construct-irrelevant variance (CIV), which is a threat to test validity. In this study, we evaluated machine scores and human scores with regard to potential CIV. We developed two assessment tasks targeting science teacher pedagogical content knowledge (PCK); each task contains three video-based constructed response questions. 187 in-service science teachers watched the videos with each had a given classroom teaching scenario and then responded to the constructed-response items. Three human experts rated the responses and the human-consent scores were used to develop machine learning algorithms to predict ratings of the responses. Including the machine as another independent rater, along with the three human raters, we employed the many-facet Rasch measurement model to examine CIV due to three sources: variability of scenarios, rater severity, and rater sensitivity of the scenarios. Results indicate that variability of scenarios impacts teachers’ performance, but the impact significantly depends on the construct of interest; for each assessment task, the machine is always the most severe rater, compared to the three human raters. However, the machine is less sensitive than the human raters to the task scenarios. This means the machine scoring is more consistent and stable across scenarios within each of the two tasks. 相似文献
4.
Issac I. Bejar 《Educational Measurement》2012,31(3):2-9
The scoring process is critical in the validation of tests that rely on constructed responses. Documenting that readers carry out the scoring in ways consistent with the construct and measurement goals is an important aspect of score validity. In this article, rater cognition is approached as a source of support for a validity argument for scores based on constructed responses, whether such scores are to be used on their own or as the basis for other scoring processes, for example, automated scoring. 相似文献
5.
《Educational Assessment》2013,18(4):317-340
A number of methods for scoring tests with selected-response (SR) and constructed-response (CR) items are available. The selection of a method depends on the requirements of the program, the particular psychometric model and assumptions employed in the analysis of item and score data, and how scores are to be used. This article compares 3 methods: unweighted raw scores, Item Response Theory pattern scores, and weighted raw scores. Student score data from large-scale end-of-course high school tests in Biology and English were used in the comparisons. In the weighted raw score method evaluated in this study, the CR items were weighted so that SR and CR items contributed the same number of points toward the total score. The scoring methods were compared for the total group and for subgroups of students in terms of the resultant scaled score distributions, standard errors of measurement, and proficiency-level classifications. For most of the student ability distribution, the three scoring methods yielded similar results. Some differences in results are noted. Issues to be considered when selecting a scoring method are discussed. 相似文献
6.
Item response theory scalings were conducted for six tests with mixed item formats. These tests differed in their proportions of constructed response (c.r.) and multiple choice (m.c.) items and in overall difficulty. The scalings included those based on scores for the c.r. items that had maintained the number of levels as the item rubrics, either produced from single ratings or multiple ratings that were averaged and rounded to the nearest integer, as well as scalings for a single form of c.r. items obtained by summing multiple ratings. A one-parameter (IPPC) or two-parameter (2PPC) partial credit model was used for the c.r. items and the one-parameter logistic (IPL) or three-parameter logistic (3PL) model for the m.c. items, ltem fit was substantially worse with the combination IPL/IPPC model than the 3PL/2PPC model due to the former's restrictive assumptions that there would be no guessing on the m.c. items and equal item discrimination across items and item types. The presence of varying item discriminations resulted in the IPL/IPPC model producing estimates of item information that could be spuriously inflated for c.r. items that had three or more score levels. Information for some items with summed ratings were usually overestimated by 300% or more for the IPL/IPPC model. These inflated information values resulted in under-estbnated standard errors of ability estimates. The constraints posed by the restricted model suggests limitations on the testing contexts in which the IPL/IPPC model can be accurately applied. 相似文献
7.
Bowen Liu Patrick C. Kennedy Ben Seipel Sarah E. Carlson Gina Biancarosa Mark L. Davison 《Journal of Educational Measurement》2019,56(4):815-835
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
8.
Fifty-four graduate students were administered a 66 item four-response multiple choice test on self-scoring tests forms. Each test was scored by the traditional right-wrong method of scoring tests and was also scored by the self-scoring method of counting the number of responses necessary to respond to all items correctly. Results indicate that scoring tests by the self-scoring method can result in a higher split half reliability than tests scored by the traditional right-wrong method. 相似文献
9.
Samuel B. Green Theresa M. Akey Kandace K. Fleming Scott L. Hershberger Janet G. Marquis 《Structural equation modeling》2013,20(2):108-120
This article investigates the effect of the number of item response categories on chi‐square statistics for confirmatory factor analysis to assess whether a greater number of categories increases the likelihood of identifying spurious factors, as previous research had concluded. Four types of continuous single‐factor data were simulated for a 20‐item test: (a) uniform for all items, (b) symmetric unimodal for all items, (c) negatively skewed for all items, or (d) negatively skewed for 10 items and positively skewed for 10 items. For each of the 4 types of distributions, item responses were divided to yield item scores with 2,4, or 6 categories. The results indicated that the chi‐square statistic for evaluating a single‐factor model was most inflated (suggesting spurious factors) for 2‐category responses and became less inflated as the number of categories increased. However, the Satorra‐Bentler scaled chi‐square tended not to be inflated even for 2‐category responses, except if the continuous item data had both negatively and positively skewed distributions. 相似文献
10.
Ou Lydia Liu Chris Brew John Blackmore Libby Gerard Jacquie Madhok Marcia C. Linn 《Educational Measurement》2014,33(2):19-28
Content‐based automated scoring has been applied in a variety of science domains. However, many prior applications involved simplified scoring rubrics without considering rubrics representing multiple levels of understanding. This study tested a concept‐based scoring tool for content‐based scoring, c‐rater?, for four science items with rubrics aiming to differentiate among multiple levels of understanding. The items showed moderate to good agreement with human scores. The findings suggest that automated scoring has the potential to score constructed‐response items with complex scoring rubrics, but in its current design cannot replace human raters. This article discusses sources of disagreement and factors that could potentially improve the accuracy of concept‐based automated scoring. 相似文献
11.
Although much attention has been given to rater effects in rater‐mediated assessment contexts, little research has examined the overall stability of leniency and severity effects over time. This study examined longitudinal scoring data collected during three consecutive administrations of a large‐scale, multi‐state summative assessment program. Multilevel models were used to assess the overall extent of rater leniency/severity during scoring and examine the extent to which leniency/severity effects were stable across the three administrations. Model results were then applied to scaled scores to estimate the impact of the stability of leniency/severity effects on students’ scores. Results showed relative scoring stability across administrations in mathematics. In English language arts, short constructed response items showed evidence of slightly increasing severity across administrations, while essays showed mixed results: evidence of both slightly increasing severity and moderately increasing leniency over time, depending on trait. However, when model results were applied to scaled scores, results revealed rater effects had minimal impact on students’ scores. 相似文献
12.
Robert B. Frary 《Educational Measurement》1988,7(2):33-38
Formula scoring is a procedure designed to reduce multiple-choice test score irregularities due to guessing. Typically, a formula score is obtained by subtracting a proportion of the number of wrong responses from the number correct. Examinees are instructed to omit items when their answers would be sheer guesses among all choices but otherwise to guess when unsure of an answer. Thus, formula scoring is not intended to discourage guessing when an examinee can rule out one or more of the options within a multiple-choice item. Examinees who, contrary to the instructions, do guess blindly among all choices are not penalized by formula scoring on the average; depending on luck, they may obtain better or worse scores than if they had refrained from this guessing. In contrast, examinees with partial information who refrain from answering tend to obtain lower formula scores than if they had guessed among the remaining choices. (Examinees with misinformation may be exceptions.) Formula scoring is viewed as inappropriate for most classroom testing but may be desirable for speeded tests and for difficult tests with low passing scores. Formula scores do not approximate scores from comparable fill-in-the-blank tests, nor can formula scoring preclude unrealistically high scores for examinees who are very lucky. 相似文献
13.
The study of change is based on the idea that the score or index at each measurement occasion has the same meaning and metric across time. In tests or scales with multiple items, such as those common in the social sciences, there are multiple ways to create such scores. Some options include using raw or sum scores (i.e., sum of item responses or linear transformation thereof), using Rasch-scaled scores provided by the test developers, fitting item response models to the observed item responses and estimating ability or aptitude, and jointly estimating the item response and growth models. We illustrate that this choice can have an impact on the substantive conclusions drawn from the change analysis using longitudinal data from the Applied Problems subtest of the Woodcock–Johnson Psycho-Educational Battery–Revised collected as part of the National Institute of Child Health and Human Development's Study of Early Child Care. Assumptions of the different measurement models, their benefits and limitations, and recommendations are discussed. 相似文献
14.
Kate Allen 《Asia Pacific Journal of Education》1997,17(1):86-93
The College English Test Band Four is rapidly becoming the most widely used qualifying examination in China today. The test includes a direct writing component, although the bulk of the test consists of conventional multiple-choice reading-skills items. The papers of the writing section are sent to various centres where each paper is scored not by multiple readers, but by a single reader. In this article, the accounts of actual scorers are documented, describing the scoring process and the manner in which reliability is maintained. 相似文献
15.
Seonghoon Kim 《Journal of Educational Measurement》2013,50(4):381-389
With known item response theory (IRT) item parameters, Lord and Wingersky provided a recursive algorithm for computing the conditional frequency distribution of number‐correct test scores, given proficiency. This article presents a generalized algorithm for computing the conditional distribution of summed test scores involving real‐number item scores. The generalized algorithm is distinct from the Lord‐Wingersky algorithm in that it explicitly incorporates the task of figuring out all possible unique real‐number test scores in each recursion. Some applications of the generalized recursive algorithm, such as IRT test score reliability estimation and IRT proficiency estimation based on summed test scores, are illustrated with a short test by varying scoring schemes for its items. 相似文献
16.
Christine E. DeMars 《Journal of Educational Measurement》2006,43(2):145-168
Four item response theory (IRT) models were compared using data from tests where multiple items were grouped into testlets focused on a common stimulus. In the bi-factor model each item was treated as a function of a primary trait plus a nuisance trait due to the testlet; in the testlet-effects model the slopes in the direction of the testlet traits were constrained within each testlet to be proportional to the slope in the direction of the primary trait; in the polytomous model the item scores were summed into a single score for each testlet; and in the independent-items model the testlet structure was ignored. Using the simulated data, reliability was overestimated somewhat by the independent-items model when the items were not independent within testlets. Under these nonindependent conditions, the independent-items model also yielded greater root mean square error (RMSE) for item difficulty and underestimated the item slopes. When the items within testlets were instead generated to be independent, the bi-factor model yielded somewhat higher RMSE in difficulty and slope. Similar differences between the models were illustrated with real data. 相似文献
17.
Automated scoring systems are typically evaluated by comparing the performance of a single automated rater item-by-item to human raters. This presents a challenge when the performance of multiple raters needs to be compared across multiple items. Rankings could depend on specifics of the ranking procedure; observed differences could be due to random sampling of items and/or responses in the validation sets. Any statistical hypothesis test of the differences in rankings needs to be appropriate for use with rater statistics and adjust for multiple comparisons. This study considered different statistical methods to evaluate differences in performance across multiple raters and items. These methods are illustrated leveraging data from the 2012 Automated Scoring Assessment Prize competitions. Using average rankings to test for significant differences in performance between automated and human raters, findings show that most automated raters did not perform statistically significantly different from human-to-human inter-rater agreement for essays but they did perform differently on short-answer items. Differences in average rankings between most automated raters were not statistically significant, even when their observed performance differed substantially. 相似文献
18.
《教育实用测度》2013,26(4):297-312
Certain potential benefits of using item response theory in test construction are discussed and evaluated using the experience and evidence accumulated during 9 years of using a three-parameter model in the construction of major achievement batteries. We also discuss several cautions and limitations in realizing these benefits as well as issues in need of further research. The potential benefits considered are those of getting "sample-free" item calibrations and "item-free" person measurement, automatically equating various tests, decreasing the standard errors of scores without increasing the number of items used by using item pattern scoring, assessing item bias (or differential item functioning) independently of difficulty in a manner consistent with item selection, being able to determine just how adequate a tryout pool of items may be, setting up computer-generated "ideal" tests drawn from pools as targets for test developers, and controlling the standard error of a selected test at any desired set of score levels. 相似文献
19.
Cawthon S 《American annals of the deaf》2011,156(3):255-269
Linguistic complexity of test items is one test format element that has been studied in the context of struggling readers and their participation in paper-and-pencil tests. The present article presents findings from an exploratory study on the potential relationship between linguistic complexity and test performance for deaf readers. A total of 64 students completed 52 multiple-choice items, 32 in mathematics and 20 in reading. These items were coded for linguistic complexity components of vocabulary, syntax, and discourse. Mathematics items had higher linguistic complexity ratings than reading items, but there were no significant relationships between item linguistic complexity scores and student performance on the test items. The discussion addresses issues related to the subject area, student proficiency levels in the test content, factors to look for in determining a "linguistic complexity effect," and areas for further research in test item development and deaf students. 相似文献
20.
Sixty-seven participants (39 men and 28 women), ranging in age from 26 to 79 years, were administered Raven's Advanced Progressive Matrices (APM) on three occasions. Although total APM scores were found to be highly reliable across the three occasions, the reliabilities of most individual items were extremely low. A single-factor model remained a borderline adequate fit (explaining approximately 20% of the variance) for the interitem correlation matrix on all three occasions. Total APM scores increased significantly across the three occasions (approximately two items per occasion). Improvements in total score across the occasions happened within a context of subjects changing both correct and incorrect responses from the previous occasion. The number of items left unanswered was found to be unrelated to both APM score on any given occasion and the amount of gain in score made across occasions. These findings suggest that the improvements in performance were not based on the acquisition of a strategy design to respond to more items or on the retention of item-specific information, but rather, the improvement reflected learning, something common to the types of items found in the APM. 相似文献