Examination of Factors Affecting Students’ Reading-Comprehension Achievement with Structural Equation Modeling

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Hakan Ülper Gökhan Çetinkaya Ayhan Dikici


It is noted in the light of several studies associated with the reading-comprehension skills that fluent word reading, connectives knowledge and fluent text reading are closely related to the comprehension skill. Hence it seems possible to create a model over these concepts and their interrelationships. Within the scope of this research two different models are proposed considering theoretical information. The first is the model which recognizes connectives knowledge as one dimension, the second is the model which recognize connectives knowledge along with its subdimensions. The study group of the research was composed of 263 secondary school students at a state school in Burdur province. In the study for data collection, connective test, fluent silent word reading test, fluent silent text reading test, reading comprehension test were used. For academic achievement official achievement scores of Turkish, Mathematics, Science and social studies courses are based on. Three different confirmatory factor analysis (CFA) were performed to see whether factor structures were confirmed on the sample by using the maximum estimate method of the AMOS 18 software. MANCOVA and ANCOVA analyses were performed to determine whether the demographic variables grade level and gender had a significant effect on the scale scores. These analyzes were also performed in the SPSS 18 program. It has been found that as the grade level of the students increases, connective usage konowledge increases, the fluent silent word reading, the fluent silent text reading, the reading comprehension and the academic achievements increase as the grade level increases. This research concluded that reading comprehension strongly and significantly predicted academic achievement. But however, fluent silent text reading did not predict reading comprehension significantly. According to the results of the research, the model formed by the sub-dimensions of binding usage information shows better fit.

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Ülper, H., Çetinkaya, G., & Dikici, A. (2018). Examination of Factors Affecting Students’ Reading-Comprehension Achievement with Structural Equation Modeling. International Journal of Assessment Tools in Education, 5(3), 428-442. Retrieved from http://ijate.net/index.php/ijate/article/view/497