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BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

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DEMOGRAPHICS OF SIOUX FALLS, SD Population-160,676 7% Average increase of population each year 44,835 Sioux Falls residents under the age of 18 Median household income $52, % of residents live below the poverty line Apartment vacancy rate is less than 5% 3.3% Unemployment rate

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Page 1: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

B Y T R A C I J E N S E N , M S W , C S WC E L E S T E U T H E - B U R O W , E D . D , L P C . L M F T

USING DATA TO GUIDE PROGRAMMING

Page 2: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

TODAY’S OBJECTIVES

• Sioux Falls, South Dakota• Demographics of the Community • School District Demographics• McKinney-Vento School Data

• Research Background• Methodology• Findings• Implications for Programming

Page 3: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

DEMOGRAPHICS OF SIOUX FALLS, SD

• Population-160,676• 7% Average increase of population each year • 44,835 Sioux Falls residents under the age of 18• Median household income $52,345• 10.9% of residents live below the poverty line• Apartment vacancy rate is less than 5%• 3.3% Unemployment rate

Page 4: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

SIOUX FALLS SCHOOL DISTRICT DEMOGRAPHICS

• Over 23,000 students enrolled in SF public schools• Approximately 50% of students qualify for Free or

Reduced lunches• Students perform above state and national

averages on ACT and Advanced Placement Tests• Graduation rate of 82%• Ethnicity*

White=66.8% Black=10.8% Hispanic= 9.5%Multi-racial=4.7% Native American=4.5%

*diversity continues to increase by approximately 3% each year

Page 5: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

HOMELESS NUMBERS

Number of Homeless Youth• 2014-15- 938• 2013-14- 936• 2012-13- 883

Yearly Averages by Homeless DesignationDoubled Up- 48%Emergency- 4%

Motel- 12%Transitional Housing- 15%

Unsheltered-1%Domestic Violence- 18%

Page 6: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

BACKGROUND OF AT RISK REPORT

• A three year study specific to students in the SFSD• An examination of students that had dropped out

of the SFSD over a three year period (2005; 2006; 2007) identified five common at-risk themes.• More than 10 absences in one academic year• Dismissal from an IEP between middle school and high

school• A failing grade in Language Arts/English• A failing grade in Math• Enrolled into the SF School District after fifth grade.

Page 7: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

• Approximately 63% of drop outs over the three year period of the study moved into the District after 5th grade.

• Only 26% of graduates over the three year period had enrolled in the SFSD after 5th grade.

• Approximately 21% of those that dropped out were dismissed from an IEP while in middle school

• District data over the three year period indicated a statically significant correlation between academic performance and days missed from school.

• District data indicated that when students missed 10 or more days of school, their academic performance began to decline in relation to the number of days missed.

Page 8: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

AT RISK SPREADSHEET

• Data is pulled from student information system (Infinite Campus)

• At Risk Points• Student Name• School Attending• Grade Level• Race/ethnicity• Language Arts risk points• Math risk points• Attendance• Enrollments• IEP risk points (if student no longer qualifies for an IEP between

Middle School to high school)

Page 9: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

• To generate the report, the SFSD Assessment Department pulled data from Infinite Campus (student information system) on each student identified as homeless

• The report includes information including the risk factors and an at risk rating point:• Student Name• School Attending• Grade Level• Race/ethnicity• Language Arts risk points• Math risk points• Attendance• Enrollments• IEP risk points (if student no longer qualifies for an IEP between

Middle School to high school)

Page 10: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

FINDINGS

AR-0 AR-1 AR-2 AR-3 AR-4 AR-50%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%47%

24%

11% 12%

6%

0%

McKinney-Vento At-Risk Data

Page 11: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

FINDINGS

AR-0 AR-1 AR-2 AR-3 AR-4 AR-50%

10%

20%

30%

40%

50%

60%

70%

60%

26%

9%

4%1% 0%

District-Wide Data

Page 12: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

COMPARISON

AR-0AR-1

AR-2AR-3

AR-4AR-5

0%

10%

20%

30%

40%

50%

60%

MV-Data

SFSD

MV-DataSFSD

Page 13: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING
Page 14: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING

TARGETED INTERVENTIONS

• Strategies to increase the number of students earning five or more credits during their first two semesters in HS.• The Freshman Academy• Link Crew Programming• Student Assistance Team (SAT)• Mentor Programming • Tutoring for Freshman (4 times per week)• Credit Recovery• Teacher-directed ‘check-points’• Student Responsibility Period (SRP)• Targeted Academic Guidance (TAG)

Page 15: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING
Page 16: BY TRACI JENSEN, MSW,CSW CELESTE UTHE-BUROW, ED.D, LPC.LMFT USING DATA TO GUIDE PROGRAMMING