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In this study, we examined the passing rates in reading and in math on the state-mandated exam in Texas for the past 7 years for Hispanic students and students with a programmatic label of Limited English Proficient (LEP). In every case, passing rates in reading and in math were statistically significantly higher for Hispanic students than for students with a label of LEP. The achievement gaps in reading and in math between these two student groups decreased only minimally over this 7-year period, as effect sizes were, with two exceptions, large. Implications of our findings are discussed.

Ncpea publications

This manuscript has been peer-reviewed, accepted, and endorsed by the National Council of Professors of Educational Administration (NCPEA) as a significant contribution to the scholarship and practice of education administration. In addition to publication in the Connexions Content Commons, this module is published in the International Journal of Educational Leadership Preparation, Volume 7, Number 1 (January - March, 2012), ISSN 2155-9635. Formatted and edited in Connexions by Theodore Creighton and Brad Bizzell, Virginia Tech and Janet Tareilo, Stephen F. Austin State University. The assignment of topic editor and double-blind reviews managed by Editor, Linda Lemasters, George Washington University.

Sumario en espanol

En este estudio, nosotros revisamos las tasas pasajeras en leer y en matemáticas en el examen estado-puesto bajo el mandato en Tejas durante los últimos 7 años para estudiantes y estudiantes hispanos con una etiqueta de programación de inglés Limitado Capaz (LEP). En cada caso, entrando las tasas leer y en matemáticas fueron estadísticamente apreciablemente más alto para estudiantes hispanos que para estudiantes con una etiqueta de LEP. Los vacíos del logro en leer y en matemáticas entre estos dos grupos de estudiante disminuyó sólo mínimamente sobre este período de 7 años, como tamaño de efecto fueron, con dos excepciones, grande. Las implicaciones de nuestras conclusiones son discutidas.

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Introduction

Researchers (e.g., Allington&McGill-Franzen, 2003) have established that students who are limited in language proficiency have greater difficulty in reading achievement than students who are not Limited English Proficient (LEP). Ready and Tindall (2006) analyzed data from the Early Childhood Longitudinal Study, Kindergarten cohort of 1998-1999 (ECLS-K) to determine language status and children’s acquisition of information within a school setting. Students were separated into groups according to the following language criteria: non-language minority, language minority proficient, language minority, non-proficient Asian language minority proficient, and other language minority proficient (e.g., White, Black, Native American, and multi-racial) children whose first language was not English. Hispanic language minority proficient students entered kindergarten with an academic disadvantage, with a SD of 0.43 in comparison to non-language minority students and a disadvantage of 0.59 SD in math. Although Hispanic language minority proficient students narrowed the gap in first grade (0.31 SD ), the achievement gap remained. In math the achievement gap narrowed (0.37 SD ) during kindergarten, but stabilized in first grade (0.41 SD ). Ready and Tindall (2006) also examined socio-demographic background in relation to achievement. They concluded that Hispanic language minority proficient and language minority non-proficient students were the most economically disadvantaged of all kindergarten students. Language minority proficient students from Hispanic homes were nearly three times more likely to come from impoverished homes and five times more likely than native speakers to come from low socio-economic homes than other language minority proficient students.

Questions & Answers

A golfer on a fairway is 70 m away from the green, which sits below the level of the fairway by 20 m. If the golfer hits the ball at an angle of 40° with an initial speed of 20 m/s, how close to the green does she come?
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can someone explain to me, an ignorant high school student, why the trend of the graph doesn't follow the fact that the higher frequency a sound wave is, the more power it is, hence, making me think the phons output would follow this general trend?
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Nevermind i just realied that the graph is the phons output for a person with normal hearing and not just the phons output of the sound waves power, I should read the entire thing next time
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Follow up question, does anyone know where I can find a graph that accuretly depicts the actual relative "power" output of sound over its frequency instead of just humans hearing
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A string is 3.00 m long with a mass of 5.00 g. The string is held taut with a tension of 500.00 N applied to the string. A pulse is sent down the string. How long does it take the pulse to travel the 3.00 m of the string?
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Source:  OpenStax, The achievement gap between white and non-white students. OpenStax CNX. Jan 10, 2012 Download for free at http://cnx.org/content/col11402/1.4
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