Intervention That Adds Up: The Impact of Merit Software on Standardized Achievement Test Scores of Middle School Students

Samuel Securro*, Jerry Dale Jones**, Danny Cantrell***, James Mickey****
*, ** Professor of Education Marshall University Graduate College. West Virginia
***Project Evaluation Coordinator West Virginia State University Institute,West Virginia
****Principal ,Horace Mann Middle School West Virginia
Periodicity:June - August'2006
DOI : https://doi.org/10.26634/jsch.2.1.870

Abstract

The “No Child Left Behind” Act mandated the need for research-based interventions to increase and to improve learning and achievement for all youngsters. Research in computer-based instruction and intervention for learning basic skills and related achievements in content area subjects has documented the need for controlled investigations of such software and how it may improve the learning and performance of youngsters, and particularly for those who are in the “lower quartile” of school achievement. Although the current study focused on the effects of Merit Mathematics software on the achievement of middle school youngsters, effects of the treatment is also included for social studies, science, and reading/LA as measured by the state-mandated testing program in West Virginia (WESTEST).A pre to post analysis was performed using a t-test for dependent samples to measure the overall differences in WESTEST mean scores from pre to post conditions for each of the four content areas, and results were statistically significant for all four WESTEST mean score pairs (p .000, SPSS Version 13.0). Effect size measures revealed the following magnitude of change: Mathematics (.844); Reading/LA (.223), Science (.132), and Social Studies (.166). The effect size of .844 for Mathematics is an extremely large value, indicating a very substantial difference (increase) in these scores from pre to post. Two socioeconomic factors (ethnicity and eligibility for free lunch) were incorporated into the study to determine if these factors affected the outcomes. Inspection of independent test results were insignificant, indicating that ethnicity and free lunch were not major factors in the overall outcomes.

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How to Cite this Article?

Samuel Securro, Jerry D. Jones , Danny Cantrell and James Mickey (2006). Intervention That Adds Up: The Impact of Merit Software on Standardized Achievement Test Scores of Middle School Students.i-manager's Journal on School Educational Technology, 2(1), 47-53. https://doi.org/10.26634/jsch.2.1.870

References

Bindig, Charles W. (2002), "Effect of Tutorial Software on Student Achievement in Writing," Nova Southeastern University, Applied Dissertation Presented for EDD Program for Educational Leaders in Partial Fulfillment of the Requirements for the Degree of Doctor of Education.
Brown, F. (2000). Using Computer Assisted Instruction to Teach Mathematics: A Study. The NABSE Journal, December 2000, 4 (1), 62-72.
Bruning, R. H., Schraw, C. J., & Ronning, R. R. (1999). Cognitive psychology and instruction. Upper Saddle River, NJ: Prentice-Hall.
Christmann, E. (2000). Relevant Research on Computer-Assisted Instruction in Science New Mexico Middle School Journal, Spring 2000, 41.
Christmann, E, & Badgett, J. (1999). A comparative analysis of the effects of computerassisted instruction on student achievement in differing science and demographic areas. Journal of Computers in Mathematics and Science Teaching, 18 135-143.
Kafai, Y,, Franke, M..L., & Battey, D. S.(2002). Education, Communication & Information.December 23 (2), 163.
Kemp, S. (1997). Software characteristics can affect student achievement. Curriculum Administrator, 32 (4), 48.
Kemp, S. (1997). Trained educators well designed software and technology aids student achievement and attitudes. Curriculum Administrator 32 (2), 73.
Sandene, B, Horkay, N., Bennett, R. E.; Allen, N.;Braswell, J.; Kaplan, B., and Andreas Oranje Online Assessment in Mathematics and Writing: Reports From the NAEP Technlogy- Based Assessment Project, Research and Development Series. National Center for Education Statistics. Retrieved online September 25, 2005 at Http://nces.ed.gov/pubsearch/pubsinfo.asp? pubid=2005457
Schacter, J. (2000). The Impact of Education Technology on Student Achievement: What the Most Current Research Has to Say. Milken Exchange on education technology.
Spitzer, D. R. (1996). Motivation The neglected factor in instructional design. Educational Technology 36(3), 45-49.
Wenglinsky, H. (1998). Does it Compute? The relationship between educational technology and student achievement in mathematics.
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