Academic Achievement Differences by Student Mobility: An Analysis of Texas Grade 8 Student Performance
Keywords:
mobility, academic achievement, poverty, grade 8, texas
Abstract
Differences in reading, mathematics, and science achievement of Grade 8 students as a function of mobility were examined with and without controls for economic status in this investigation. Data were obtained from the Texas Education Agency Public Education Information Management System for the 2003-2004 through the 2007-2008 school years. Statistically significant differences were revealed in reading, mathematics, and science test scores as a function of student mobility, both when controlling for and not controlling for economic status. Mobile students had statistically significantly lower reading and mathematics test scores than did non-mobile students for all 6 school years. Science scores were statistically significantly lower for all three years for which data were available. Implications for policy and practice and suggestions for future research were made.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
References
Mary Bourque (2009) The Impact of Student Mobility on Academic Achievement. 3-28.
A Branz-Spall, R Rosenthal, A Wright (2003) Children of the road: Migrant students, our nation's most mobile population. 72, 55-62.
J Bruno, J (1996) Inter-and intraschool site student transiency: Practical and theoretical implications for instructional continuity at inner city schools. 29(4), 239-252.
D Clark, J Slate, J Combs, G Moore (2014) A conceptual analysis for grade span configurations for 6-8 and K-8 public schools. 4(1), 1-24.
J Cohen (1988) Statistical power analysis for the behavioral sciences.
A Field (2005) Discovering statistics using SPSS: Introducing statistical methods.
A Field (2009) Discovering statistics using SPSS: Introducing statistical methods.
P Fomby, C Sennott (2013) Family structure instability and mobility: The consequences for adolescents' problem behavior. 42(1), 186-201.
Todd Franke, Jo Isken, Michelle Parra (2003) A Pervasive School Culture for the Betterment of Student Outcomes: One School's Approach to Student Mobility. 72(1), 150.
Diana Gruman, Tracy Harachi, Robert Abbott, Richard Catalano, Charles Fleming (2008) Longitudinal Effects of Student Mobility on Three Dimensions of Elementary School Engagement. 79(6), 1833-1852.
Eric Hanushek, John Kain, Steven Rivkin (2004) Disruption versus Tiebout improvement: the costs and benefits of switching schools. 88(9-10), 1721-1746.
Eric Hanushek, John Kain, Steven Rivkin (2009) Corrigendum to "Disruption versus Tiebout improvement: The costs and benefits of switching schools" [Journal of Public Economics Volume 88 (2004), pages 1721-1746]. 93(11-12), 1283-1284.
Dana Haynie, Scott South, Sunita Bose (2006) The Company You Keep: Adolescent Mobility and Peer Behavior*. 76(3), 397-426.
L Heinlein, M Shinn (2000) School mobility and student achievement in an urban setting. 37, 349-357.
Barbara James, Patrick Lopez (2003) Transporting Homeless Students to Increase Stability: A Case Study of Two Texas Districts. 72(1), 126.
R Johnson, L Christensen (2008) Educational research: Quantitative, qualitati ve, and mixed approaches.
Patricia Julianelle, Maria Foscarinis (2003) Responding to the School Mobility of Children and Youth Experiencing Homelessness: The McKinney-Vento Act and Beyond. 72(1), 39.
Guillaume Dumont, Robert Russell, Philip Wilson, Katherine Coyner, Randy Cohn, Amun Makani, Thomas Gill, William Robertson (1998) Identification of Anterior Cruciate Ligament Tunnel Drilling Technique Using X-Ray. 1(1), 39-44.
D Kerbow (1995) Pervasive student mobility: A moving target for school reform.
David Kerbow, Carlos Azcoitia, Barbara Buell (2003) Student Mobility and Local School Improvement in Chicago. 72(1), 158.
A Langenkamp (2011) Effects of educational transitions on students' academic trajectory: A life course perspective. 54, 497-520.
Valerie Lee, Julia Smith (1999) Social Support and Achievement for Young Adolescents in Chicago: The Role of School Academic Press. 36(4), 907.
P Lovell, J Isaacs (2008) First Lien Mortgage Credit. 27-72.
A Pavlakas (2014) Living and Learning at the Intersection: Student Homelessness and Complex Policy Environments. 46(3), 445-475.
R Ream (2005) Toward Understanding How Social Capital Mediates the Impact of Mobility on Mexican American Achievement. 84(1), 201-224.
A Reynolds, C Chen, J Herbers (2009) School mobility and educational success: A research synthesis and evidence on prevention.
V Rhodes (2007) Student mobility: The elephant in NCLB's living room. 25(1), 795657.
Russell Rumberger (2003) The Causes and Consequences of Student Mobility. 72(1), 6.
Russell Rumberger, Katherine Larson (1998) Student Mobility and the Increased Risk of High School Dropout. 107(1), 1-35.
Ravindra Kane (1999) Engineering the Interface Between Inorganic Materials and Cells (Final Report).
J Scherrer (2013) The negative effects of student mobility: Mobility as a predictor, mobility as a mediator. 8(1), 1-14.
G Simpson, M Fowler (1994) Geographic mobility and children's emotional/behavioral adjustment and school functioning. 93, 303-309.
J Smith, H Fein, S Paine (2008) When mobility disrupts learning. 65(7), 59-63.
J Smith, J Smith, A Byrk (1998) Setting the pace: Opportunities to learn in Chicago's elementary schools.
C Smrekar, D Owens (2003) It's a way of life for us, high mobility and high achievement in Department of Defense schools. 72, 165-177.
Scott South, Dana Haynie, Sunita Bose (2007) Student mobility and school dropout. 36(1), 68-94.
A Summers, L Moehnke (2006) Meeting the needs of students in transition. 10(2), 39-40.
(2012) SBOE to recognize academic excellence.
(2014) TEA renovates website to aide navigation..
S Thompson, J Meyers, T Oshima (2011) Figure 12. The arborization patterns of individual cell types within the MB lobes.. 80(906 3), 475-674.
(2009) Sample Sizes for Parallel Group Superiority Trials with Normal Data. 45-72.
Published
2017-01-27
Issue
Section
License
Copyright (c) 2016 Authors and Global Journals Private Limited

This work is licensed under a Creative Commons Attribution 4.0 International License.