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Measuring Cohesion: An Approach That Accounts for Differences in the Degree of Integration Challenge Presented by Different Types of Sentences
Author(s) -
Sheehan Kathleen M.
Publication year - 2013
Publication title -
educational measurement: issues and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.158
H-Index - 52
eISSN - 1745-3992
pISSN - 0731-1745
DOI - 10.1111/emip.12017
Subject(s) - cohesion (chemistry) , reading comprehension , computer science , comprehension , measure (data warehouse) , cognitive psychology , natural language processing , artificial intelligence , psychology , linguistics , reading (process) , data mining , chemistry , philosophy , organic chemistry , programming language
Many proposed cohesion metrics focus on the number and types of explicit cohesive ties detected within a text without also considering differences in the ease or difficulty of required referential and connective inferences. A new cohesion measure structured to address this limitation is proposed. Empirical analyses confirm that this new measure performs similarly to existing measures when applied to the simpler problem of detecting lower and higher cohesion versions of the same text, yet is significantly more effective than existing measures when applied to the more complex problem of distinguishing different texts rated by human experts as requiring lower or higher levels of reading comprehension skill. Implications of these findings relative to the goal of helping teachers and other educators select texts for use in instruction and assessment are discussed.