In this article, we argue that automated scoring engines should be transparent and construct relevant--that is, as much as is currently feasible. Many current automated scoring engines cannot achieve high degrees of scoring accuracy without allowing in some features that may not be easily explained and understood and may not be obviously and…

One of the challenges of discussing validity arguments for machine scoring of essays centers on the absence of a commonly held definition and theory of good writing. At best, the algorithms attempt to measure select attributes of writing and calibrate them against human ratings with the goal of accurate prediction of scores for new essays.…

To capitalize on professional expertise in educational assessment, it is desirable to develop and test methods of rater-mediated assessment that enable classroom teachers to make reliable and informative judgments. Accordingly, this article investigates the reliability of a two-stage method used by classroom teachers to assess primary school…

The goal of this study is to model pauses extracted from writing keystroke logs as a way of characterizing the processes students use in essay composition. Low-level timing data were modeled, the interkey interval and its subtype, the intraword duration, thought to reflect processes associated with keyboarding skills and composition fluency.…

This article presents a novel method, the Complex Dynamics Essay Scorer (CDES), for automated essay scoring using complex network features. Texts produced by college students in China were represented as scale-free networks (e.g., a word adjacency model) from which typical network features, such as the in-/out-degrees, clustering coefficient (CC),…

This study investigated the impact of anonymizing text on predicted scores made by two kinds of automated scoring engines: one that incorporates elements of natural language processing (NLP) and one that does not. Eight data sets (N = 22,029) were used to form both training and test sets in which the scoring engines had access to both text and…

There is a large body of research on the effectiveness of rater training methods in the industrial and organizational psychology literature. Less has been reported in the measurement literature on large-scale writing assessments. This study compared the effectiveness of two widely used rater training methods--self-paced and collaborative…

The hierarchical rater model (HRM) recognizes the hierarchical structure of data that arises when raters score constructed response items. In this approach, raters' scores are not viewed as being direct indicators of examinee proficiency but rather as indicators of essay quality; the (latent categorical) quality of an examinee's essay in turn…

This study examined rater effects on essay scoring in an operational monitoring system from England's 2008 national curriculum English writing test for 14-year-olds. We fitted two multilevel models and analyzed: (1) drift in rater severity effects over time; (2) rater central tendency effects; and (3) differences in rater severity and central…

Several studies have shown that essays receive higher marks when preceded by poor quality scripts than when preceded by good quality scripts. This study investigated the effectiveness of providing scorers with model essays to reduce the influence of context. Context effects persisted despite the scoring procedures used. (Author/EGS)

A new method for evaluating rater accuracy within the context of performance assessments is described. It uses an extended Rasch measurement model, FACETS, which is illustrated with 373 benchmark papers from the Georgia High School Graduation Writing Test rated by 20 operational raters and an expert panel. (SLD)

Over 2,000 writing samples were collected from four undergraduate institutions and compared, where possible, with scores on a multiple-choice test. High correlations between ratings of the writing samples and multiple-choice test scores were obtained. Samples contributed substantially to the prediction of both college grades and writing…

Reports the development of an experimental essay test for use with young children based on the now-obsolete STEP Essay Tests. The child's essay on an assigned topic is rated in comparison with previously rated and scaled essays which serve as performance models. (Author)

An approach to essay grading based on signal detection theory (SDT) is presented. SDT offers a basis for understanding rater behavior with respect to the scoring of construct responses, in that it provides a theory of psychological processes underlying the raters' behavior. The approach also provides measures of the precision of the raters and the…

The effect of the quality of preceding essays on judgments of the quality of a subsequent essay was investigated. Inservice teachers as judges failed to produce consistently and unambiguously biased judgments. Results suggest the presence of a positive bias and the absence of a negative bias. (Author/PN)