Grade 5 Mathematics and Science Achievement Differences by Student Gender and Ethnicity/Race: A Multiyear, Statewide Study.

John R. Slate; Pamela Bennett Anderson; George W. Moore

Authors

John R. Slate
Pamela Bennett Anderson
George W. Moore

Keywords:

science achievement, mathematics achievement, asian, black, hispanic, white, gender, problem-based learning, stem

Abstract

Analyzed in this study were the State of Texas Assessment of Academic Readiness (STAAR) Mathematics and Science raw scores for Grade 5 students to determine the degree to which gender and ethnic/racial (i.e., Asian, Black, Hispanic, and White) differences were present. Four school years (i.e., 2011-2012 through 2014-2015) of statewide data were analyzed. For all tests, statistically significant differences were present by gender and by ethnicity/race. Trivial effect sizes were present between boys and girls for each analysis. However, medium effect sizes were revealed with regard to the raw score differences by ethnicity/race for the four years analyzed. Every year, Asian students had the highest average test score, followed by White, Hispanic, and Black students, respectively. A stair-step achievement gap (Carpenter, Ramirez, & Seven, 2006) was present in each school year analyzed.

Downloads

How to Cite

Grade 5 Mathematics and Science Achievement Differences by Student Gender and Ethnicity/Race: A Multiyear, Statewide Study. (2017). Global Journal of Human-Social Science, 17(G8), 1-12. https://socialscienceresearch.org/index.php/GJHSS/article/view/2306

Download Citation

References

R Atkinson (2012) Why the current education reform strategy won't work. 35(2).

Maya Beasley, Mary Fischer (2012) Why they leave: the impact of stereotype threat on the attrition of women and minorities from science, math and engineering majors. 15(4), 427-448.

M Bleich (2012) Southeast Education Network (SEEN) Magazine.

R Bybee (2013) The case for STEM education: Challenges and opportunities.

Dick Carpenter, Al Ramirez, Laura Severn (2006) Gap or Gaps. 39(1), 113-127.

Madhabi Chatterji (2006) Reading achievement gaps, correlates, and moderators of early reading achievement: Evidence from the Early Childhood Longitudinal Study (ECLS) kindergarten to first grade sample.. 98(3), 489-507.

V Christian (2008) Cognitive development and academic achievement: A study of African American, Caucasian, and Latino children.

J Cohen (1988) Statistical power analysis for the behavioral sciences.

J Creswell (2008) Research design: Qualitative, quantitative, and mixed methods approaches.

De Silver, D (2015) U.S. students improvingslowly-in mathematics and science, but still lagging internationally. Fact Tank.

I Diaz-Rubio (2013) Business partnerships to advance STEM education: A model of success for the nation.

A Field (2009) Discovering statistics using IBM SPSS statistics.

H Fleischman, P Hopstock, M Pelczar, B Shelley (2010) Highlights from PISA 2009: Performance of U.S. 15-year-old students.

M Gaughan, B Bozeman (2015) Daring to lead. 31(2), 27-31.

J Gigliotti (2012) Culture Centers in Higher Education: Perspectives on Identity, Theory, and Practice (review). 53(1), 172-174.

H Gonzalez, J Kuenzi (2013) Science, technology, engineering, and mathematics (STEM) education: A primer. 1-35.

Michael Harwell, Mario Moreno, Alison Phillips, S Guzey, Tamara Moore, Gillian Roehrig (2015) A Study of STEM Assessments in Engineering, Science, and Mathematics for Elementary and Middle School Students. 115(2), 66-74.

C Hill, C Corbett, St, A Rose (2010) Why so few? Women in science, technology, engineering, and mathematics.

David Koonce, Jie Zhou, Cynthia Anderson, Dyah Hening, Valerie Conley (2011) What is STEM?. 22.1684.1-22.1684.9.

M Mac Ewan (2013) Getting intentional about STEM learning. 17, 56-61.

Robin Mellors-Bourne, Helen Connor, Charles Jackson (2013) STEM Graduates in Non STEM Jobs: Executive Summary.

(2016) Status and trends in the education of racial and ethnic groups 2016.

Unknown Title.

(2011) National Science Education Standards.

National Science Foundation Arlington Va (2014) Setting Priorities For Large Research Facility Projects Supported By the National Science Foundation. 14.

J Newman, J Dantzler, A Coleman (2015) Science in action: How middle school students are changing their world through STEM service-learning projects. 54, 47-54.

Anthony Onwuegbuzie, Larry Daniel (2002) A Framework for Reporting and Interpreting Internal Consistency Reliability Estimates. 35(2), 89-103.

(2010) Prepare and inspire: K-12 education in science, technology, engineering, and math (STEM) for America's future.

G Roehrig, T Moore, H Wang, M Park (2012) Is adding the e enough? Investigating the impact of K-12 engineering standards on the implementation of STEM integration. 112, 31-44.

Lynn Sikma, Margery Osborne (2004) Conflicts in Developing an Elementary STEM Magnet School. 53(1), 4-10.

(2013) One‐Way Independent ANOVA. 365-405.

(2015) Technical digest for the academic year 2013-2014.

The Whitehouse (2015) The Right to Possession: The Need for Substantive Reform. 150-176.

U (2007) Assuring the U.S. Department of Defense a Strong Science, Technology, Engineering, and Mathematics (STEM) Workforce.

J Valerio (2014) Attrition in science, technology, engineering, and mathematics (STEM) education: Data and analysis.

Andrea Venezia, Laura Jaeger (2013) Transitions from High School to College. 23(1), 117-136.