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Guo, Hongwen; Deane, Paul D.; van Rijn, Peter W.; Zhang, Mo; Bennett, Randy E. – Journal of Educational Measurement, 2018
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.…
Descriptors: Writing Processes, Writing (Composition), Essays, Models
DeCarlo, Lawrence T.; Kim, YoungKoung; Johnson, Matthew S. – Journal of Educational Measurement, 2011
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…
Descriptors: Responses, Essay Tests, Models, Scores
Leckie, George; Baird, Jo-Anne – Journal of Educational Measurement, 2011
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…
Descriptors: Scoring, Foreign Countries, National Curriculum, Writing Tests

Hughes, David C.; Keeling, Brian – Journal of Educational Measurement, 1984
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)
Descriptors: Context Effect, Essay Tests, Essays, High Schools

Slotnick, Henry B. – Journal of Educational Measurement, 1972
A principal components analysis was conducted to determine whether the measures of essays made by the computer could be grouped into factors. Six factors (fluency, spelling, diction, sentence structure, punctuation, and paragraphing) were identified. (Author)
Descriptors: Computers, Essays, Factor Analysis, Grading