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From Start to Finish: Using an Early Warning Indicators Approach to Identify Dropouts as Early as First Grade Thomas C. West Montgomery County Public Schools, Office of Shared Accountability 7/17/2013 NCES STATS-DC 2013 1 Acknowledgements


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From Start to Finish: Using an Early Warning Indicators Approach to Identify Dropouts as Early as First Grade

Thomas C. West Montgomery County Public Schools, Office of Shared Accountability

NCES STATS-DC 2013 1 7/17/2013

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SLIDE 2

Acknowledgements

  • Montgomery County Public Schools (MD)

– Stephanie Williams (Director, Department of Policy, Records, and Reporting) – Dr. Kecia Addison-Scott (Supervisor, Applied Research Unit) – Juan Cardenas (Office of Shared Accountability) – Marilyn Powell (Applied Research Unit) – Shihching Liu (Applied Research Unit)

  • Howard County Public Schools (MD)

– Dr. Vasuki Rethinam (Coordinator of Research)

  • Baltimore County Public Schools (MD)

– Kelly Shields (Strategic Data Project Fellow)

  • Johns Hopkins University’s Everyone Graduates Center

7/17/2013 NCES STATS-DC 2013 2

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Main Points

  • At least 75% of dropouts can be identified as

early as the first grade

  • Dropping out of high school is an in- and out-
  • f-school process that begins before middle

and high school

  • Targeted support through collaboration (e.g.,

Teacher Teaming); Early Warning Indicators are a platform for interventions, not the solution

7/17/2013 NCES STATS-DC 2013 3

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Outline of the Presentation

  • History of Early Warning Indicators
  • The ABCs (Attendance, Behavior, Course

Performance) and Student Engagement

  • Identifying the Dropouts (Class of 2011 & 2012)
  • Displaying Data: The Monitoring Tool
  • Limitations (Implementation, Implementation,

Implementation)

  • Future Thoughts

7/17/2013 NCES STATS-DC 2013 4

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History of Early Warning Indicators

  • Can we identify the students who drop out of

high school before they drop out?

  • If we identify the students who may drop out,

can we prevent them from dropping out?

7/17/2013 NCES STATS-DC 2013 5

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History of Early Warning Indicators (Continued)

  • Chicago, IL (Allensworth & Easton 2005, 2007)
  • Philadelphia, PA (Nield & Balfanz, 2006)
  • Baltimore, MD (Mc Iver, 2011)
  • Boston, MA (Balfanz & Boccanfuso, 2008a)
  • Indianapolis, IN (Balfanz & Boccanfuso, 2008b)
  • Tennessee (Balfanz, Wang, & Byrnes, 2010)
  • Colorado (Mac Iver, Balfanz, & Byrnes, 2009)

7/17/2013 NCES STATS-DC 2013 6

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The ABCs and Student Engagement

  • Proxy measures of student engagement
  • Attendance (class absences vs. daily

attendance)

  • Behavior (in- and out-of-school suspensions)
  • Course Performance (math and English grades
  • vs. grade point averages)

7/17/2013 NCES STATS-DC 2013 7

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The ABCs and Student Engagement (Continued)

  • Grade 6 Early Warning Indicators typically include:

– Attendance below 90% – One or more suspensions or serious disciplinary incidents – Failing a mathematics and/or English course

  • Grade 9 Early Warning Indicators typically include:

– Attendance below 85% – Two or more suspensions or serious disciplinary incidents – Failing a mathematics and/or English course (Balfanz & Byrnes, 2010)

7/17/2013 NCES STATS-DC 2013 8

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Identifying the Dropouts

  • Class of 2011

– 7.4% (833 out of 11,241 students) dropped out of high school

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Identifying the Dropouts (Continued)

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7/17/2013 NCES STATS-DC 2013 11

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Identifying the Dropouts (Continued)

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Figure 1. Percentage of Class of 2011 by special service: dropouts vs. all students.

11.3% 23.1% 4.0% 20.3% 38.3% 16.3% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Special Ed. Free/Reduced Meals ELL/LEP District Dropouts

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Identifying the Dropouts (Continued)

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Figure 2. Percentage of Class of 2011 by race/ethnicity subgroup: dropouts vs. all students.

22.6% 37.2% 23.0% 44.7% 17.5% 31.1% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Hispanic White Black or African American District Dropouts

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Identifying the Dropouts (Continued)

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  • Research Questions

1. What are the attendance, behavior, and coursework patterns at the end of marking period three for Grade 1, and at the end of marking period one for Grades 3, 6, and 9 students who eventually drop out of high school? 2. For each of the time points, what is the likelihood of students dropping out by each early warning indicator? 3. Are the early warning indicators for identifying the MCPS high school Class of 2011 dropouts reliable at identifying the Class of 2012 dropouts?

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Identifying Dropouts (Continued)

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School year (On-time grade level) Total number

  • f Class of

2011 cohort students enrolled in MCPS Total number of Class of 2011 cohort dropouts enrolled in MCPS Percent of Class of 2011 cohort students enrolled in MCPS (N = 11,063) Percent of Class

  • f 2011 cohort

dropouts enrolled in MCPS (N = 723) 1998–1999 (Kindergarten) 6,063 295 54.8 40.8 1999–2000 (Grade 1) 6,785 322 61.3 44.5 2000–2001 (Grade 2) 7,186 343 65.0 47.4 2001–2002 (Grade 3) 7,513 353 67.9 48.8 2002–2003 (Grade 4) 7,833 377 70.8 52.1 2003–2004 (Grade 5) 8,178 407 73.9 56.3 2004–2005 (Grade 6) 8,249 392 74.6 54.2 2005–2006 (Grade 7) 8,711 445 78.7 61.5 2006–2007 (Grade 8) 8,983 470 81.2 65.0 2007–2008 (Grade 9) 9,583 584 86.6 80.8 2008–2009 (Grade 10) 10,439 641 94.4 88.7 2009–2010 (Grade 11) 10,743 566 97.1 78.3 2010–2011 (Grade 12) 10,633 415 96.1 57.4 2010–2011 (Grade 12+1yr) 859 183 7.8 25.3

Table 1. Number and Percentage of the Class of 2011 Cohort Enrolled in MCPS by School Year and On-Time Grade Level (N = 11,063)

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Identifying the Dropouts (Continued)

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  • Research Question #1

– What are the attendance, behavior, and coursework patterns at the end of marking period three for Grade 1, and at the end of marking period one for Grades 3, 6, and 9 students who eventually drop out of high school?

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Identifying the Dropouts (Continued)

  • Attendance

– For MCPS attending school less than 90% of the time for a given school year equates to being absent from school for nearly 20 days (or 5 days per marking period) – Across Grades 1, 3, 6, and 9, Class of 2011 dropouts attended school less than 94% of time (or 3 days per marking period)

7/17/2013 NCES STATS-DC 2013 17

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Identifying the Dropouts (Continued)

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19.8% 11.7% 20.1% 31.6% 19.1% 11.1% 18.5% 29.5% 36.3% 25.2% 48.0% 63.7% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Grade 1 Marking Period 3 Grade 3 Marking Period 1 Grade 6 Marking Period 1 Grade 9 Marking Period 1 All Students Non-dropouts Dropouts

Figure 3. Percentage of Class of 2011 with an attendance indicator (missing 3 or more days) by grade, marking period, and eventual dropout status.

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Identifying the Dropouts (Continued)

  • Behavior

– In general, students in MCPS are suspended from school at a relatively low rate – Across the four time points, behavior (as measured by number of in- and out-of-school suspensions) is not a prevalent characteristic of students who eventually drop out of high school – Grade 3 report card mark for “not completing homework on time” used as additional indicator

7/17/2013 NCES STATS-DC 2013 19

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Identifying the Dropouts (Continued)

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Figure 4. Percentage of Class of 2011 students with a behavior indicator, by grade, marking period, and eventual dropout status.

0.2% 10.9% 5.2% 2.0% 0.2% 10.1% 4.1% 1.5% 0.8% 33.0% 24.2% 9.1% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Grade 1 Marking Period 3 Grade 3 Marking Period 1 Grade 6 Marking Period 1 Grade 9 Marking Period 1 All Students Non-dropouts Dropouts

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Identifying the Dropouts (Continued)

  • Course Performance

– As done in prior early warning indicators research, course performance will be confined to failing mathematics and/or English – For Grades 1 and 3, failing reading and/or mathematics will be defined as being “below grade level” – For Grades 6 and 9, failing reading and/or mathematics will be defined as receiving a mark of “D” or below – Additionally, all time points will also have a course performance indicator based on grade point average (GPA); for Grade 1 will be below 1.20; and for Grades 3, 6, and 9 will be below 3.00

7/17/2013 NCES STATS-DC 2013 21

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Identifying the Dropouts (Continued)

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Figure 5. Percentage of Class of 2011 students with a coursework indicator, by grade, marking period, and eventual dropout status.

19.0% 41.4% 31.6% 43.5% 18.3% 39.8% 29.1% 40.2% 69.0% 75.5% 76.0% 94.9% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Grade 1 Marking Period 3 Grade 3 Marking Period 1 Grade 6 Marking Period 1 Grade 9 Marking Period 1 All Students Non-dropouts Dropouts

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Identifying the Dropouts (Continued)

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Figure 6. Percentage of Class of 2011 students identified as dropouts by grade, marking period, and eventual dropout status.

48.6% 48.3% 43.0% 55.4% 47.4% 46.7% 40.5% 53.3% 76.0% 80.6% 87.3% 86.8% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Grade 1 Marking Period 3 Grade 3 Marking Period 1 Grade 6 Marking Period 1 Grade 9 Marking Period 1 All Students Non-dropouts Dropouts

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Identifying the Dropouts (Continued)

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  • Research Question #2

– For each of the time points, what is the likelihood (odds) of students dropping out by each early warning indicator?

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7/17/2013 NCES STATS-DC 2013 25

Variable Estimate Standard error Odds ratio Z value Sig. diff. Grade 1 Marking Period 3a Intercept

  • 3.974

0.113 0.019

  • 35.035

* Absent from school nine or more times 0.646 0.139 1.907 4.659 * Suspended (in- or out-of-school) one or more times 0.696 0.790 2.006 0.882 Below grade level in reading and/or mathematics 0.850 0.153 2.340 5.561 * Overall GPA below 1.20 0.713 0.157 2.040 4.552 * Grade 3 Marking Period 1b Intercept

  • 4.057

0.110 0.017

  • 36.865

* Absent from school three or more times 0.682 0.141 1.978 4.844 * Suspended (in- or out-of-school) one or more times 1.046 0.130 2.845 0.925 ‘Needs improvement’ completing homework on time 0.824 0.138 2.279 5.968 * Below grade level in reading and/or mathematics 0.867 0.141 2.379 6.170 * First marking period GPA below 3.00 0.704 0.153 2.022 4.596 * Grade 6 Marking Period 1c Intercept

  • 4.249

0.107 0.014

  • 39.630

* Absent from a class three or more times 0.859 0.109 2.360 7.887 * Suspended (in- or out-of-school) one or more times 1.261 0.137 3.528 9.200 * Receiving a grade of ‘D’ or below in mathematics and/or English 0.454 0.122 1.575 3.726 * First marking period GPA below 3.00 1.585 0.135 4.880 11.728 * Grade 9 Marking Period 1d Intercept

  • 5.116

0.152 0.006

  • 33.657

* Absent from a class three or more times 1.138 0.104 3.120 10.919 * Suspended (in- or out-of-school) one or more times 0.629 0.182 1.876 3.458 * Receiving a grade of ‘D’ or below in mathematics and/or English 1.317 0.123 3.732 10.690 * First marking period GPA below 3.00 1.539 0.178 4.661 8.629 *

Table 2. Likelihood of Dropping Out of High School for the Class of 2011, by Grade, Marking Period, and Early Warning Indicator

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7/17/2013 NCES STATS-DC 2013 26

212% 88% 273% 366% 136% 253% 58% 388% 98% 185% 128% 138% 102% 91% 101% 134% 104% 0% 50% 100% 150% 200% 250% 300% 350% 400% 450% Absent from school three or more times (Grade 9 MPA1) Suspended (in- or out-of-school) one or more times (Grade 9 MPA1) Receiving a grade of 'D' or below in mathematics and/or English (Grade 9 MPA1) First marking period GPA below 3.00 (Grade 9 MPA1) Absent from school three or more times (Grade 6 MPA1) Suspended (in- or out-of-school) one or more times (Grade 6 MPA1) Receiving a grade of 'D' or below in mathematics and/or English (Grade 6 MPA1) First marking period GPA below 3.00 (Grade 6 MPA1) Absent from school three or more times (Grade 3 MPA1) Suspended (in- or out-of-school) one or more times (Grade 3 MPA1) "Needs improvement" completing homework on time (Grade 3 MPA1) Below grade level in reading and/or mathematics (Grade 3 MPA1) First marking period GPA below 3.00 (Grade 3 MPA1) Absent from school nine or more times (Grade 1 MPA3) Suspended (in- or out-of-school) one or more times (Grade 1 MPA1) Below grade level in reading and/or mathematics (Grade 1 MPA1) Overall GPA below 1.20 (Grade 1 MPA1)

Figure 7. Percent Change in Adjusted Odds of Dropping Out of High School for the Class of 2011, by Grade, Marking Period, and Early Warning Indicator

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Identifying the Dropouts (Continued)

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  • Research Question #3

– Are the early warning indicators for identifying the MCPS high school Class of 2011 dropouts reliable at identifying the Class of 2012 dropouts?

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Identifying the Dropouts (Continued)

Table 3. Class of 2012 Early Warning Indicators, by Grade, Marking Period, and Dropout Status

Early Warning Indicator Dropout Status Attendance Behavior (1) Behavior (2) Coursework (1) Coursework (2) Total Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Grade 1 Marking Period 3 Non-dropouts 1,429 22.7 16 0.3 – – 1,207 19.2 2,542 40.4 6,299 100.0 Dropouts 108 42.4 5 2.0 – – 117 45.9 180 70.6 255 100.0 Total 1,537 23.5 21 0.3 – – 1,324 20.2 2,722 41.5 6,554 100.0 Grade 3 Marking Period 1 Non-dropouts 1,177 16.8 8 0.1 616 8.8 1,624 23.1 2,480 35.3 7,023 100.0 Dropouts 102 33.3 5 1.6 86 28.1 174 56.9 220 71.9 306 100.0 Total 1,308 17.6 13 0.2 702 9.6 1,798 24.5 2,700 36.8 7,329 100.0 Grade 6 Marking Period 1 Non-dropouts 1,456 18.4 338 4.3 – – 1,307 16.5 2,407 30.4 7,906 100.0 Dropouts 176 45.8 100 26.0 – – 203 52.9 315 82.0 384 100.0 Total 1,632 19.7 438 5.3 – – 1,510 18.2 2,722 32.8 8,290 100.0 Grade 9 Marking Period 1 Non-dropouts 978 10.5 68 0.7 – – 1,812 19.5 3,568 38.4 9,293 100.0 Dropouts 218 41.2 29 5.5 – – 351 66.4 469 88.7 529 100.0 Total 1,196 12.2 97 1.0 – – 2,163 22.0 4,037 41.1 9,822 100.0

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Identifying the Dropouts (Continued)

7/17/2013 NCES STATS-DC 2013 29

  • Summary of MCPS Early Warning Indicators

– Attendance Indicator: Absent from school/class three or more times a marking period – Behavior Indicator: Suspended (in- or out-of- school) one or more times – Course Performance: 1) Below grade level/receiving a ‘D’ in mathematics and/or English; 2) Having a marking period grade point average below a 1.20/3.00

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7/17/2013 NCES STATS-DC 2013 30

NO 1st OR 6th GRADE INDICATOR 1st AND 6th GRADE INDICATOR 26% 40%

Figure 8. Percent of Class of 2011 Students by 1st and 6th Grade Indicator Status

NO 1st OR 9th GRADE INDICATOR 1st AND 9th GRADE INDICATOR 31% 30%

Figure 9. Percent of Class of 2011 Students by 1st and 9th Grade Indicator Status

Identifying the Dropouts (Continued)

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Displaying Data: The Monitoring Tool

  • How do stakeholders (teachers, principals, and

counselors) access/use data?

  • What type of technological resources are

available?

7/17/2013 NCES STATS-DC 2013 31

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Displaying Data: The Monitoring Tool (Continued)

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Student ID Student's Last Name Student's First Name Current Grade Highest Number of Marking Period 1 Class Absences Number of Marking Period 1 Suspensions Marking Period 1 Grade Point Average Attendance EWI (Missed 3 or More Days) Behavior EWI (1 or More Suspensions) Course Performance EWI (GPA Below 3.00) Number of EWI Indicators 999999 SMITH BILL 6 4 3.85 1 1 888888 SMITH JOAN 6 2.66 1 1 777777 SMITH AL 6 4 3.71 1 1 666666 SMITH JAMES 6 3 3.57 1 1 555555 SMITH BILL 6 5 3.71 1 1 444444 SMITH JOAN 6 3 3.85 1 1 333333 SMITH AL 6 2 2.00 1 1 222222 SMITH JAMES 6 3 3.71 1 1 111111 SMITH BILL 6 1 3.71 999999 SMITH JOAN 6 5 3.42 1 1 888888 SMITH AL 6 3 4.00 1 1 777777 SMITH JAMES 6 2 3.33 666666 SMITH BILL 6 10 3.57 1 1 555555 SMITH JOAN 6 6 3.50 1 1 444444 SMITH AL 6 3.28 333333 SMITH JAMES 6 5 3.00 1 1 222222 SMITH BILL 6 2.40 1 1 111111 SMITH JOAN 6 5 3.85 1 1 999999 SMITH AL 6 3 3.71 1 1 888888 SMITH JAMES 6 6 2.71 1 1 2 777777 SMITH BILL 6 3 3.71 1 1 666666 SMITH JOAN 6 4 3.28 1 1 555555 SMITH AL 6 5 2.33 1 1 2 444444 SMITH JAMES 6 3 3.00 1 1

Figure 10. Mock Early Warning Indicator Tool

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Limitations (Implementation, Implementation, Implementation)

  • Type-I Error (False Positive)
  • Early Warning Indicators are a platform for

interventions, not an actual intervention

  • Requires buy-in at all levels (e.g.,

administrators, teachers, and counselors)

7/17/2013 NCES STATS-DC 2013 33

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  • Type-I Error (False Positive)

– Can be reduced based on number of indicators

7/17/2013 NCES STATS-DC 2013 34

Number of Early Warning Indicators (EWIs) Dropout Status No Indicators One Indicator Two Indicators Three Indicators Four Indicators Total Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Grade 1 Marking Period 3 Non-dropouts 3,227 52.6 1,628 26.5 976 15.9 306 5.0 3 0.0 6,140 100.0 Dropouts 63 24.0 57 21.8 95 36.3 46 17.6 1 0.4 262 100.0 Total 3,290 51.4 1,685 26.3 1,071 16.7 352 5.5 4 0.1 6,402 100.0 Grade 3 Marking Period 1 Non-dropouts 3,684 53.3 1,576 22.7 1,130 16.3 447 6.5 85 1.2 6,913 100.0 Dropouts 64 19.4 53 16.1 112 33.9 79 23.9 22 6.7 330 100.0 Total 3,748 51.7 1,620 22.4 1,242 17.1 526 7.3 107 1.5 7,243 100.0 Grade 6 Marking Period 1 Non-dropouts 4,566 59.5 1,813 23.6 897 11.7 340 4.4 52 0.7 7,668 100.0 Dropouts 56 12.7 103 23.3 147 33.3 98 22.2 38 8.6 442 100.0 Total 4,622 57.0 1,916 23.6 1,044 12.9 438 5.4 90 1.1 8,110 100.0 Grade 9 Marking Period 1 Non-dropouts 4,199 46.7 2,359 26.2 1,583 17.6 787 8.7 71 0.8 8,999 100.0 Dropouts 77 13.2 67 11.5 129 22.1 264 45.2 47 8.0 584 100.0 Total 4,276 44.6 2,426 25.3 1,712 17.9 1,051 11.0 118 1.2 9,583 100.0

Table 4. Number and Percentage of Class of 2011 Early Warning Indicators, by Grade, Marking Period, and Dropout Status

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  • Early Warning Indicators are a platform for

interventions, not an actual intervention

– Lessons learned from MCPS Grade 8 to 9 Monitoring Tool

  • Columns, columns, and more columns

– Only 2 out of 52 columns actually have to do with the model

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Student ID Community Sup by Grade 8 School School Level School # Q2 Reported School School Name Q2 Reported School Student Last Name Student First Name Student Middle Name Grade Level Q2 Current ESOL AYP ESOL (Current) and RELL (Exit 2 Years or Less) Status Current FARMS Current Special Ed. Gender New Race Group Hispanic or Latino Language Spoken at Home Predicted Credits Earned in 4
  • r More
Core Courses by End of Grade 9 Predicted Category Number of Foreign Language (FL) Courses Reported Q2 Teacher Last Name for Highest FL Course Level Taken Q2 Teacher First Name for Highest FL Course Level Taken Q2 Course Description for Highest FL Course Level Taken Q1 Course Mark for Highest FL Course Taken Q2 Course Mark for Highest FL Course Taken Number of Science (Sc) Courses Reported Q2 Teacher Last Name for Highest Sc Course Level Taken Q2 Teacher First Name for Highest Sc Course Level Taken Q2 Course Description for Highest Sc Course Level Taken Q1 Course Mark for Highest Sc Course Taken Q2 Course Mark for Highest Sc Course Taken Number of Social Studies (SS) Courses Reported Q2 Teacher Last Name for Highest SS Course Level Taken Q2 Teacher First Name for Highest SS Course Level Taken Q2 Course Description for Highest SS Course Level Taken Q1 Course Mark for Highest SS Course Taken Q2 Course Mark for Highest SS Course Taken Number of English Courses Reported Q2 Teacher Last Name for Highest English Course Level Taken Q2 Teacher First Name for Highest English Course Level Taken Q2 Course Description for Highest English Course Level Taken Q1 Course Mark for Highest English Course Taken Q2 Course Mark for Highest English Course Taken Number of Math Courses Reported Q2 Teacher Last Name for Highest Math Course Level Taken Q2 Teacher First Name for Highest Math Course Level Taken Q2 Course Description for Highest Math Course Level Taken Q1 Course Mark for Highest Math Course Taken Q2 Course Mark for Highest Math Course Taken Grade 9 School 2014 Grade 9 School Name 2014 Community Sup by Grade 9 School

Figure 11. Mock Grade 8 to 9 Monitoring Tool

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  • Requires buy-in at all levels (e.g.,

administrators, teachers, and counselors)

– Recent independent evaluation of the implementation of Ninth Grade Academies in 18 high schools Broward County Public Schools, FL

  • Findings:

– Only 3 high schools achieved strong implementation – Most schools did not improve from the first to the second or third year (Legters, Parise, & Rappaport, 2013)

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Future Thoughts

  • Should early warning indicators be shared with parents

and students?

  • Should early warning indicators be displayed publically

at the school, district, and state-level?

  • Are these students already identified by informal

processes?

  • Are there students who become disengaged over time
  • r who become engaged over time different than the

students who are disengaged since first grade and/or students who are engaged since first grade?

  • Can a colorblind approach address equity concerns?

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References

  • Allensworth, E., & Easton, J. (2005). The on-track indicator as a predictor of high school graduation. Chicago, IL: Chicago

Consortium on School Research.

  • Allensworth, E., & Easton, J. (2007). What matters for staying on-track and graduating in Chicago public high schools.

Chicago, IL: Consortium on Chicago School Research.

  • Balfanz, R., & Boccanfuso, C. (2008a). Falling off the path to graduation: Middle grade indicators in Boston [Working paper].

Baltimore, MD: Center for Social Organization of Schools.

  • Balfanz, R., & Boccanfuso, C. (2008b). Falling off the path to graduation: Middle grade indicators in Indianapolis [Working

paper]. Baltimore, MD: Center for Social Organization of Schools.

  • Balfanz, R., & Byrnes, V. (2010). Dropout prevention through early warning indicators: A current distribution in West Virginia
  • schools. Baltimore, MD: Everyone Graduates Center.
  • Balfanz, R., Wang, A., & Byrnes, V. (2010). Early warning indicator analysis: Tennessee. Baltimore, MD: Everyone Graduates

Center, Johns Hopkins University.

  • Legters, N., Parise, L., & Rappaport, S. (2013). Implementing Ninth Grade Academies in Broward County, Florida. New York:

MDRC.

  • Mac Iver, M.A. (2011). Destination graduation: Sixth grade early warning indicators for Baltimore City schools—Their

prevalence and impact. Baltimore, MD: Baltimore Education Research Consortium.

  • Mac Iver, M.A., Balfanz, R., & Byrnes, V. (2009). Advancing the “Colorado Graduates” agenda: Understanding the dropout

problem and mobilizing to meet the graduation challenge. Denver, CO: Colorado Children’s Campaign.

  • Neild, R. C., & Balfanz, R. (2006). Unfulfilled promise: The dimensions and characteristics of Philadelphia’s dropout crisis,

2000–2005. Philadelphia, PA: Philadelphia Youth Transitions Collaborative. 7/17/2013 NCES STATS-DC 2013 38

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Want to talk more? Have Questions? Want help developing your own models?

Thomas C. West tcwest1@gmail.com

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