education longitudinal study of 2002 nsf summer data policy institute july 22, 2007

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Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

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Page 1: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Education Longitudinal Study of 2002

NSF Summer Data Policy Institute

July 22, 2007

Page 2: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Objectives of ELS: 2002

Monitor the critical transitions made by a cohort of high school sophomores (10th graders) through college into their adult careers

Maintain comparability with NLS-72, HS&B, and NELS:88 to measure trends in transitions and outcomes over time

Link the assessment of achievement outcomes to other high school assessments (NAEP and PISA) for purposes of analysis

Focus 2nd follow-up on issues of college access and choice

Page 3: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS: 2002 Basic Survey Design

Stage 1: School selection Target population: schools with 10th graders Probability of selection proportional to school size

Stratification: region x urbanicity x school control Total strata: 96

Over sampled: Catholic schools, and other private Final sample size: 752 responding schools with a

10th grade Similar to NELS:88 but starts in spring of 10th grade

Page 4: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS: 2002 Basic Survey Design

Stage 2: Student selection Random selection of about 26 students per school

From student rosters provided by school Number of students per school was limited to minimize

burden Rosters organized by four race/ethnicity groups

Over-sampled: Asians/Pacific Islanders All ELL and special education students included

(expanded sample) Sample size: 17,591 10th grade students selected

representing 3.6 million students

Page 5: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS: 2002 Basic Survey Design

Contextual data sources: One parent per student Two teachers per student

One a mathematics teacher of the student One an English/language arts teacher

Principal of the school School characteristics

School librarian/media center director Planned follow-ups:

First follow-up, high school seniors (2004) (done) Second follow-up, college sophomores (2006) Third follow-up, eight years after high school (2012)

Page 6: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

Schools and students are assigned weights according to their probabilities of selection.

Use of these weights in analyses is necessary to obtain accurate population estimates.

Values of the weights for school and student sample members are inversely proportional to their probabilities of selection.

Page 7: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

School Weights – E.g., Stratum H in the Pacific region contains 80

public, urban, schools If two schools are chosen (H1 and H2), the school

weight for each one is 80/2=40 So each sampled school in stratum H represents 40

schools with a 10th grade.

Page 8: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

Student weights – Roster of all 10th graders enrolled in spring 2004

was provided by the selected school If school H1 had 120 sophomores and 24 were

selected, then the “within school weight” for each student would be 120/24 = 5.

The overall weight for these students would be 40 x 5 = 200.

Page 9: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

Base Year student weights: The result is a Base Year student weight for every

individual in the sample corresponding to the number of individuals in the population that person represents.

The distribution of these weights is:

Statistics Base Year student weight, BYSTUWT

Mean 224

Median 205

Quartiles 99, 205, 300

Range 5-978

Page 10: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

Base Year school weights: For purposes of analyzing schools, there is also a

school weight for the Base Year schools. The distribution of these school weights is:

Statistics Base Year school weight, BYSCHWT

Mean 32.7

Median 17.0

Quartiles 7.4,17.0,27.4

Range 0-395.7

Page 11: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

Between the Base Year and First Follow-up, Some student do not respond, and Some students migrate to new schools

In ELS, the sample weights are adjusted to account for for sample member non-response Using model-based methods The total weight for Base Year cohort does not

change. All students who transferred to another school were

included in the First Follow-up data collection

Page 12: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS: 2002 Sample Distribution

Change in the size of the ELS:2002 sample of schools and students, by data collection stage (unweighted)

Base Year First Follow-up

Original school

Total number of schools 752 747

Total number of students 16,202 13,988

Average number students per school 21.5 17.8

Transfer school

Total number of schools --- 1,130

Total number of students --- 1,248

Average number students per school --- 1.2

Source: ELS 2002 data file

Page 13: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

Additional measures to correct for non-response: Non-respondents are included in follow-ups

Receive special questionnaires to obtain data otherwise collected in previous follow-up

Universe variable, F1UNIV1, shows the F1 respondents who were non-respondents

All of the main student background variables (sex, race, SES, etc.) and some status variables are imputed

Page 14: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

After imputation and non-response adjustment, a panel weight, F1PNLWT, is formed from sample members for whom there is response data in both the Base Year and First Follow-up. This panel weight should be used whenever change

in a variable from BY to F1 is analyzed. This panel weight is zero for all students for whom BY-

F1 information is not available The sample of cases still represents the distribution of

the original Base Year Cohort

Page 15: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Sample Design and Weights

For all students who completed a First Follow-up questionnaire, there is also a questionnaire weight, F1QWT F1QWT includes the freshened sample and all other

students in Base Year or Transfer schools who completed a First Follow-up questionnaire, including dropouts, etc.

The cross-sectional sample of seniors is formed by crossing F1QWT with a cohort flag, G12COHRT, identifying all in-school seniors in the First Follow-up.

Page 16: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS Analysis Populations (E4P)

Sample Population Weight

Base year students Cross-section of sophomores BYSTUWT

Expanded sample Cross-section of sophomores, including ineligible students

BYEXPWT

(restricted)

First Follow-up Cross-section of seniors (freshened)

F1QWT x

G12COHRT

Longitudinal panel Same group of sophomores followed for 2 years

F1PNLWT

Longitudinal panel Same group of seniors followed for 4 years

F2PNLWT

Base year schools Schools with 10th grade BYSCHWT

Page 17: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Design Effects and Standard Errors

Because of the selection of multiple students per school, the ELS sample is “clustered”

Because of this clustering, the standard errors of population estimates are larger than they would be with simple random sampling (SRS)

The extent of departure is measured by the “Design Effect” or DEFF

Because of the “DEFF,” special software must be used to correctly estimate standard errors

Page 18: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Design Effects and Standard Errors

In general, DEFF is defined as the ratio of, the square of the “correct” standard error by the square of the standard error of the estimate

assuming simple random sampling (SRS).

DEFF = (correct S.E.2 / (SRS S.E.)2

Page 19: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Design Effects and Standard Errors

3.7

2.3

1.9

1.5

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

NELS:88 ELS:2002

Design effect

Root designeffect

Mean and root design effects for NELS:88 and ELS:2002 sophomore cohort panel estimates

Page 20: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Survey Components

Base Year survey Spring 2002 sophomores Student questionnaire Student cognitive tests

Mathematics Reading

Parent questionnaire Teacher questionnaires Principal questionnaire

(school information) Library/media

questionnaire School facilities checklist Geocoded data available

First Follow-up survey Spring 2004 seniors Student questionnaire

Transfer student quest. Dropout questionnaire Early graduate quest. Home school quest. New student quest.

Student cognitive tests Mathematics

Principal questionnaire (school update)

High school transcripts

Page 21: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS Results: Educational Expectations

10

25 296

19

22

0

20

40

60

80

100

1981-82 1991-92 2003-04

19

37 36

13

26 31

1981-82 1991-92 2003-04

33

33

50 53

3631

1981-82 1991-92 2003-04

Bachelor’s degree

Graduate or professional degree

Percentage of 12th graders who expected to attain a bachelor’s degree or a graduate or professional degree: 1981-82, 1991-92, and 2003-04.

16

4451

32

6367 64

86 86

Low SES Middle SES High SES

Page 22: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Survey Components

Second Follow-up Two years after high school Young adult questionnaire

High school completion update College choice College enrollment College major Employment (and military

service) Life course (living situation,

volunteer work, expectations Administrative records

Federal student aid received SAT/ACT scores GEDs received

Third Follow-up Eight years after high school Adult questionnaire

College enrollment College completion status Employment Life course (living situation,

volunteer work, expectations) College transcripts

Page 23: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS High School Transcripts

Sample: Collected from Base Year school, and If in another school, from last school of attendance

Provides a complete record of high school coursework Course titles, grades earned, credits earned, year

taken, grades 9-12 Coded according to course classification schemes

Includes updated high school completion status Diploma or certificate of attendance GED Still in school

Page 24: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

ELS High School Transcripts

Ninth and eventual 12th grade mathematics course completed : 2004

Percent completing specific course by end of high school

Among students who complete geometry in the ninth grade, 84% take Advanced mathematics (trigonometry-pre-calculus or calculus) by the 12th grade

Among students who take general or applied mathematics in the ninth grade, 10% take Advanced mathematics

Page 25: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Trend analysis with ELS, NELS, HS&B

Survey and follow-upHigh school sophomores

High school seniors

College sophomores

College Graduates

ELS: 2002/12 3rd FU 2012

ELS: 2002/06 2nd FU 2006

ELS: 2002/04 1st FU 2004

ELS: 2002 BY 2002

NELS: 88/2000 4th FU 2000

NELS: 88/2000 3rd FU 1994

NELS: 88/2000 2nd FU 1992

NELS: 88/90 1st FU 1990

HS&B: 1980 Soph. 4th FU 1992

HS&B: 1980 Soph. 2nd FU 1984

HS&B: 1980 Soph. 1st FU 1982

HS&B: 1980 Soph. BY 1980

CT

CT

HT

HT

HT

CT

Page 26: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Availability of Restricted Data

Restricted data files Use requires a licensing agreement with NCES “Restricted” files contain information not on the “Public

Use” data files Linking variables Course records from student transcripts No top or bottom coding

Released on CD-Roms with the same ECB and kinds of documentation as Public Use files.

http://nces.ed.gov/pubsearch/licenses.asp

Page 27: Education Longitudinal Study of 2002 NSF Summer Data Policy Institute July 22, 2007

Education Longitudinal Study: 2002

For additional information:

Go to ELS: 2002 web site on the NCES web site:

nces.ed.gov/surveys/els2002

To obtain Public Use data files:

click on “Order CDs” at the URL above

Sign up for the “High school longitudinal studies” News Flash on the NCES web site