Research Article

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

Volume: 5 Number: 3 September 19, 2018
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Examination of Factors Affecting Students’ Reading-Comprehension Achievement with Structural Equation Modeling

Abstract

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 study group of the research was composed of 263 secondary school students at a state school in Burdur province. 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. Analysis of Covariance and Multivariate Analysis of Covariance 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.

Keywords

References

  1. Akay, A. A. (2004). İlköğretim 2. sınıf öğrencilerinin okuduğunu anlama becerilerinin matematik problemlerini çözme başarısına etkisi [Effect of reading comprehension skills on mathematical problem solving among elementary second-grade students]. İstanbul: Marmara University, Institute of Educational Sciences, Postgraduate Thesis.
  2. Bakeman, R., & Robinson, B. F. (2014). Understanding statistics in the behavioral science. Mahwah, New Jersey: Psychology Press.
  3. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
  4. Başaran, M. (2013). Okuduğunu anlamanın bir göstergesi olarak akıcı okuma [Fluency reading as an indicator of reading comprehension]. KUYEB, 13 (4), 2277-2290.
  5. Baştuğ, M. & Keskin, H., K. (2012). Akıcı okuma becerileri ile anlama düzeyleri (basit ve çıkarımsal) arasındaki ilişki [Relationship between fluency reading skills and comprehension levels (literal and inferential)]. Ahi Evran University, Journal of Kırşehir Faculty of Education (KEFAD), 13 (3), 227-244.
  6. Bayat, N.; Şekercioğlu, G. & Bakır, S. (2014). The Relationship Between Reading Comprehension and Success in Science. Education and Science, 39 (176), 457-466.
  7. Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). New York: Routledge, Taylor & Francis Group.
  8. Caccamise, D., Snyder, L., & Kintsch, E. (2008). Constructivist theory and the situation model: Relevance to future assessment of reading comprehension. In C. C. Block, & S. R. Parris (Eds.), Comprehension instruction: Research-based best practices (2nd ed., pp. 80-97). NY: The Guilford Press. Chapple

Details

Primary Language

English

Subjects

Studies on Education

Journal Section

Research Article

Publication Date

September 19, 2018

Submission Date

March 11, 2018

Acceptance Date

June 9, 2018

Published in Issue

Year 2018 Volume: 5 Number: 3

APA
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. https://doi.org/10.21449/ijate.404205

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