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Full Report - Center for Collaborative Education

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Table 2: Variables, Definitions and Sources of Data: School level<br />

Variable Definition<br />

School Level Variables<br />

Source<br />

Grade<br />

PK to 2; Elementary (K-5), K-8, Middle (6-8), High (9-12); SIMS<br />

Configuration Middle/High (7-12) and K-12<br />

A grade configuration variable was<br />

For MCAS results and <strong>for</strong> the HLM analysis, grade level is constructed based on the range of grade<br />

used (i.e., elementary, middle school and high school). levels (DOE016) of all students enrolled<br />

during the school year. A grade configuration<br />

was assigned <strong>for</strong> each school.<br />

School Size Size of school enrollment. We used Wasley et al (2000) to SIMS<br />

define sizes:<br />

A school’s size was determined by<br />

In Elementary schools we consider the following categories: computing the total number of students<br />

Large (>= 600 students) Medium (350-599 students) Small enrolled in the school during the school year.<br />

(= 1000 students) Medium (500-999 students) Small<br />

(75% poverty. (No schools in BPS fell into<br />

the first category).<br />

LEP Density Percentage of enrollment that is of limited English proficiency LEP variable constructed by research team<br />

(LEP). A LEP is defined by MDESE as “a student whose first The proportion of LEP students was<br />

language is a language other than English who is unable to calculated <strong>for</strong> each school by dividing the<br />

per<strong>for</strong>m ordinary classroom work in English.”<br />

total number of LEPs by the total student<br />

enrollment of each school. The variable was<br />

then categorized into: 0-10%, 10.1-30%, 30-<br />

50%, and >50% proportion of LEP students.<br />

Accountability A school’s Adequate Yearly Progress (AYP) data <strong>for</strong> the MDESE Website<br />

Status<br />

selected year. We report on the AYP aggregate <strong>for</strong> ELA and AYP ELA- aggregate and AYP-Math<br />

Math.<br />

aggregate data were downloaded <strong>for</strong> each<br />

school. These were dummy variables:<br />

met/did not meet AYP (MDESE, n.d., a).<br />

Teacher Two teacher qualification variables are analyzed:<br />

MDESE Website<br />

Qualifications<br />

!<br />

(1) Percentage of teachers who are licensed with<br />

Provisional, Initial, or Professional licensure to teach in the<br />

area(s) in which they are teaching.<br />

(2) The percentage of school’s core academic classes taught<br />

by teachers who are highly qualified. These teachers,<br />

measured in “full-time equivalency,” of core academic<br />

classes meet the NCLB definition of highly-qualified. To meet<br />

the definition, teachers must hold a valid Massachusetts<br />

license AND demonstrate subject matter competency in the<br />

areas they teach.<br />

(MDESE, n.d. b)<br />

Improving <strong>Education</strong>al Outcomes of English Language Learners in Schools and Programs in Boston Public Schools 113

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