NAEP 2024 Appendix C Sampling Memo

NAEP 2024 Appendix C v30.docx

National Assessment of Educational Progress (NAEP) 2024 Amendment #3

NAEP 2024 Appendix C Sampling Memo

OMB: 1850-0928

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NATIONAL CENTER FOR EDUCATION STATISTICS

NATIONAL ASSESSMENT OF EDUCATIONAL PROGRESS




National Assessment of Educational Progress (NAEP) 2024





Appendix C

2024 Draft Sampling Memo






OMB# 1850-0928 v.30










June 2023


.









Date:

February 28, 2023

Memo: 2024-1.1A/1.1B/1.1D/1.1E/1.1I


William Ward, NCES

Greg Binzer


Ed Kulick, ETS

Marcie Hickman


David Freund, ETS

Kavemuii Murangi


Amy Dresher, ETS

Dwight Brock


Yue Jia, ETS

Yiting Long

To:

Pat Stearns, Pearson Lauren Byrne

Sabrina Zhang Amy Lin


Lisa Rodriguez

Natalia Weil


Rick Rogers

Véronique Lieber


Rob Dymowski

Sarah Shore


William Wall



From:


Lloyd Hicks


Reviewers:

Leslie Wallace, Tom Krenzke, Keith Rust

Subject:

Sample Design for 2024 NAEP DRAFT



  1. Introduction


For 2024, the NAEP assessment involves the following components:


    1. National assessments in reading and mathematics at grades 4, 8, and 12 and in science at grade 8;


    1. State-by-state and Trial Urban District Assessment (TUDA) assessments in reading and mathematics for public schools at grades 4 and 8;


    1. An assessment of mathematics in Puerto Rico for public schools at grades 4 and 8;


    1. Pilot assessments for mathematics and reading frameworks and for reading router at grades 4 and 8;


    1. Pilot assessments for Puerto Rico mathematics at grades 4 and 8;


    1. The National Indian Education Study (NIES) at grades 4 and 8; and


    1. The High School Transcript Study (HSTS) at grade 12.






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    1. School-based Equipment Proof of Concept (SBE POC) in mathematics and reading at grades 4 and 8 (discussed only at the end of section III; decision from NCES pending)

Below is a summary list of the features of the 2024 sample design.


      1. The alpha1 samples for grades 4 and 8 public schools and the delta samples for grades 4 and 8 private schools will be used for the operational assessments in reading and mathematics. The alpha samples will also include the Puerto Rico mathematics operational assessments.


      1. The beta public school samples and the epsilon private school samples will be used for the national science assessments at grade 8 and for the national mathematics and reading assessments at grade 12.


As in past NAEP studies, each Trial Urban District Assessment (TUDA) sample will form part of the corresponding state sample, and each state sample will form part of the national sample. There are twenty-seven Trial Urban District Assessment (TUDA) participants.


Twenty-six of the twenty-seven participated in 2022. A new TUDA participant this year is Orange County, FL. Fresno, CA dropped out of the TUDA program in 2022. The population of schools for a TUDA district consists of those public schools, charter and non-charter, for which the district is responsible for academic accountability.


      1. All operational and pilot assessments will be administered using tablets. Each operational assessment will be conducted using a combination of Surface Pro tablets and Chromebooks as part of a bridge study. Each pilot test assessment will be conducted on only Chromebooks.


      1. The school and student sample sizes for the alpha samples in each state will be similar in size to 2022, which is considerably smaller than earlier NAEP assessments.


      1. There will be no samples in U.S. territories other than for Puerto Rico at grades 4 and 8.


      1. The Department of Defense (DoDEA) schools are expected to be reported as a single jurisdiction.


      1. The National Indian Education Study will take place again in 2024. All Bureau of Indian Education (BIE) schools and students will be included in the operational samples at grades 4 and 8. Having all BIE students in sample is designed to provide detailed national results for American Indian and Alaskan Native (AIAN) students in reading and mathematics, as part of the National Indian Education Study (NIES).


      1. Also, as part of NIES, in nine states (Arizona, Minnesota, Nebraska, North Carolina, Oregon, Utah, Washington, Wisconsin, and Wyoming) the public-school sample at grades 4 and 8 will be increased somewhat, in an attempt to give publishable results for AIAN students, for reading and mathematics. This will affect school sampling only. There will be no special student sampling procedures for this purpose. This will be achieved by increasing, by an appropriate factor, the measures of size of schools with a relatively high proportion of AIAN students.





1 The terminology of alpha, beta, delta, epsilon, and pi is defined in Section III.



      1. The sampling rates of private schools at grades 4 and 8 will be similar to those of 2022. Response rates permitting, this will allow separate reporting for reading and mathematics for Catholic and non-Catholic schools at grades 4 and 8, but no further breakdowns by private school type.


      1. The sample sizes of assessed students for these various components are shown in Table 1 (which also shows the approximate numbers of participating schools).


      1. In the beta public samples, there will be moderate oversampling of schools with relatively moderate-to-high proportions of Black, Hispanic, and AIAN students.


      1. There will be no oversampling of students within schools for any of the samples.



Table 1. Target sample sizes of assessed students, and expected number of participating schools, for 2024 NAEP


Spiral1

Jurisdictions

Students




Total


Spiral Indic.


States2


Urban districts

Public school students

Private school students

Grade 4







National/state reading

DS

52

27

114,500

2,350

116,850

National/state math

DS

52

27

114,500

2,350

116,850

Puerto Rico

DP

1


4,000


4,000

Total – alpha

2



233,000


233,000

Total – delta

1




4,700

4,700

Typical max. no. students/school




50

50


Average assessed students/school




38

20


Total schools – alpha, delta




6,072

235

6,307








Reading Pilot (incl reading router)

NP



11,500


11,500

Mathematics Pilot

NP



10,000


10,000

Puerto Rico Pilot

MP



500


500

Total – pi

2



22,000


22,000

Typical max. no. students/school




50



Average assessed students/school




38



Total schools – pi




576


576








Total number of students grade 4




255,000

4,700

259,700

Total number of schools grade 4




6,648

235

6,883










Table 1. Target sample sizes of assessed students, and expected number of participating schools, for 2024 NAEP (Continued)



Spiral1

Jurisdictions

Students




Total


Spiral Indic.


States2


Urban districts

Public school students

Private school students

Grade 8







National/state reading

DS

52

27

114,500

2,350

116,850

National/state math

DS

52

27

114,500

2,350

116,850

Puerto Rico

DP

1


4,000


4,000

Total – alpha

2



233,000


233,000

Total – delta

1




4,700

4,700

Typical max. no. students/school




50

50


Average assessed students/school




39

22


Total schools – alpha, delta




5,925

214

6,139








National science

DA



19,800

2,200

22,000

Total - beta

1



19,800


19,800

Total - epsilon

1




2,200

2,200

Typical max. no. students/school




50

50


Average assessed students/school




39

22


Total schools - beta, epsilon




495

100

595








Reading pilot (incl reading router)

NP



8,500


8,500

Mathematics pilot

NP



10,000


10,000

Puerto Rico pilot

MP



500


500

Total – pi

2



19,000


19,000

Typical max. no. students/school




50



Average assessed students/school




39



Total schools – pi




488


488








Total number of students grade 8




271,800

6,900

278,700

Total number of schools grade 8




6,908

314

7,222










Table 1. Target sample sizes of assessed students, and expected number of participating schools, for 2024 NAEP (Continued)


Spiral1

Jurisdictions

Students




Total


Spiral Indic.


States2


Urban districts

Public school students

Private school students

Grade 12







National reading

DA



25,200

2,800

28,000

National math

DA



19,800

2,200

22,000

Total – beta

1



45,000


45,000

Total – epsilon

1




5,000

5,000

Typical max. no. students/school




50

50


Average assessed students/school




35

25


Total schools beta, epsilon




1,286

200

1,486








Total number of students grade 12




45,000

5,000

50,000

Total number of schools grade 12




1,286

200

1,486








GRAND TOTAL STUDENTS




571,800

16,600

588,400

GRAND TOTAL SCHOOLS




14,842

749

15,591

1 See Table 2 for definitions of DS, DA, DP, NP and MP.

2 Includes BIE, District of Columbia (DC), DoDEA, and Puerto Rico schools.



  1. Assessment Types


The assessment spiral types are shown in Table 2. Four different spirals will be used at grade 4, five different spirals will be used at grade 8, and one spiral will be used at grade 12. Session IDs contain six characters, traditionally. The first two characters identify the assessment “type” (subjects and type of spiral in a general way). Grade is contained in the second pair of characters, and the session sequential number (within schools) in the last two characters. For example, session DS0401 denotes the first grade 4 reading and mathematics operational DBA assessment in a given school.


Table 2. NAEP 2024 assessment types and IDs


ID

Type

Subjects

Grades

Schools

Comments


DS

Operational/ Bridge


Reading, mathematics


4, 8

Public, Private

All schools in the alpha

(except Puerto Rico) and delta samples

DA

Operational/

Bridge

Science

8

Public,

Private

All grade 8 schools in the

beta and epsilon samples

DA

Operational/

Bridge

Reading, mathematics

12

Public,

Private

All grade 12 schools in the

beta and epsilon samples

DP

Operational/

Bridge

Puerto Rico mathematics

4, 8

Public

Puerto Rico alpha samples

NP

Pilot

Reading, mathematics,

reading router

4, 8

Public

All schools in the pi samples

(except Puerto Rico)

MP

Pilot

Puerto Rico mathematics

4, 8

Public

Puerto Rico pi samples



  1. Sample Types and Sizes

In similar fashion to past years, we have identified five different types of school samples: alpha, beta, delta, epsilon, and pi. These distinguish sets of schools that will be conducting distinct portions of the assessment.


  1. Alpha Samples


These are public school samples for grades 4 and 8. They will be used for the operational/bridge state-by- state assessments in reading and mathematics and contribute to the national samples for these subjects as well. There will be alpha samples for each state, District of Columbia (DC), Department of Defense Education Activity (DoDEA) schools, Bureau of Indian Education (BIE) schools, and Puerto Rico.


The details of the target student sample sizes for the alpha samples are as follows:


  1. At each grade, the assessed student target sample size is 3,500 per state. The goal in each state (before considering the contribution of TUDA districts) is to roughly assess 1,750 students for math and 1,750 students for reading. The initial target sample size of students after considering attrition is 4,100 for grade 4 and 4,200 for grade 8.


  1. There will be samples for twenty-seven TUDA districts. For the six large TUDA districts (New York, Los Angeles, Chicago, Miami-Dade, Clark County, and Houston) the assessed student target sample sizes are three-quarters the size of a state sample (2,625). The target student sample size after considering attrition is 3,075 for grade 4 and 3,150 for grade 8.


  1. For the remaining twenty-one TUDA districts, the assessed student target sample sizes are half the size of a state sample (1,750). The target student sample size after inflation to account for attrition is 2,050 for grade 4 and 2,100 for grade 8.


  1. Note that, above, there is a conflict between sample size requirements at the state level, and the TUDA district level. This will be resolved as in previous years: the districts will have the target samples indicated in B and C, and reflected in Table 3. For the states that contain one or more of these districts, the target sample size indicated in A (and shown in Table 3) will be used to determine a school sampling rate for the state, which will be applied to the balance of the stateoutside the TUDA district(s). Thus the target student sample sizes, shown in Table 3, for states that contain a TUDA district, are only ‘design targets’, and are smaller than the final total sample size for the state, but larger than the sample for the balance of the state, exclusive of its TUDA districts.


  1. In Puerto Rico, the target sample size is 4,800 per grade (grades 4 and 8), with the goal of assessing 4,000 students.


As in past state-by-state assessments, schools with fewer than 20 students in the grade in question will be sampled at a moderately lower rate than other schools (at least half, and often higher, depending upon the size of the school). This is in implicit recognition of the greater cost and burden associated with surveying these schools.


As mentioned above, the NAEP 2024 design includes an oversample of relatively high proportion AIAN schools in certain states (as part of the NIES design). These schools will be sampled at higher rates than the other schools. The NIES oversample will take place in Arizona, Minnesota, Nebraska, North Carolina, Oregon, Utah, Washington, Wisconsin, and Wyoming. Table 3 below shows the thresholds used to define the NIES oversampling strata along with their corresponding oversampling factors. Schools with AIAN percentages that meet or exceed the thresholds will be separately stratified, as shown below, and oversampled by factors ranging from 3 to 6 based on state and grade.





Table 3. Percent AIAN thresholds and oversampling factors for the NIES school oversample by state and grade



State

Grade 4

Grade 8

Percent AIAN

thresholds

Oversampling

factor

Percent AIAN

thresholds

Oversampling

factor

Arizona

50

4

50

3

Minnesota

10

6

10

5

North Carolina

5

6

10

6

Nebraska

10

6

10

6

Oregon

5

6

5

6

Utah

4

6

5

6

Washington

6

6

7

6

Wisconsin

8

6

8

6

Wyoming

15

6

25

3


Table 4 shows the target student sample sizes, and the approximate counts of schools to be selected in the alpha samples, along with the school and student frame counts, by state and TUDA districts for grades 4 and 8. The table also identifies the jurisdictions where we take all schools and where we take all students.


Table 5 consolidates the target student (and resulting school) sample size numbers, to show the total target sample sizes in each state, combining the TUDA targets with those for the balance of the state.


Table 4. Grade 4 and 8 school and student frame counts, expected school sample sizes, and initial target student sample sizes for the 2024 state-by-state and TUDA district assessments (Alpha samples)







Jurisdiction

Grade 4

Grade 8




Schools in frame




Schools in sample




Students in frame

Overall target student sample

size





Schools in frame




Schools in sample




Students in frame


Overall target student sample size


Alabama

695

87

55,049

4,100


440

87

56,397

4,200


Alaska

345

144

8,243

4,100


266

108

8,693

4,200


Arizona

1,256

90

81,571

4,100


847

91

84,103

4,200


Arkansas

470

87

35,717

4,100


310

85

37,562

4,200


Bureau of Indian Education

137

137

2,583

2,583

**

112

112

2,437

2,437

**

California

6,171

87

425,185

4,100


3,088

88

431,483

4,200


Colorado

1,100

92

61,636

4,100


624

90

64,834

4,200


Connecticut

554

87

35,879

4,100


287

86

37,515

4,200


Delaware

119

79

10,276

4,100


70

51

11,048

4,200


District of Columbia

127

93

6,245

4,100


70

70

5,552

4,200

*

DoDEA Schools

90

90

5,601

5,601

**

55

55

4,427

4,427

**

Florida

2,327

85

208,179

4,100


1,345

88

213,850

4,200


Georgia

1,254

83

124,867

4,100


590

85

134,510

4,200


Hawaii

207

89

13,795

4,100


86

55

12,186

4,200


Idaho

398

92

23,178

4,100


227

87

24,448

4,200


Illinois

2,114

91

131,275

4,100


1,416

91

140,398

4,200


Indiana

1,013

86

75,223

4,100


496

86

79,274

4,200


Iowa

614

92

35,335

4,100


354

88

37,203

4,200


Kansas

691

97

33,802

4,100


396

94

36,016

4,200


Kentucky

725

88

46,863

4,100


422

90

49,507

4,200


Louisiana

737

89

50,543

4,100


502

89

50,568

4,200


Maine

308

112

12,200

4,100


200

93

12,919

4,200


Maryland

888

85

64,913

4,100


366

86

65,642

4,200


Massachusetts

948

87

65,014

4,100


498

86

68,916

4,200


Michigan

1,664

91

99,728

4,100


1,101

92

103,412

4,200


Minnesota

990

93

61,527

4,100


729

95

65,001

4,200


Mississippi

400

87

32,598

4,100


272

85

34,639

4,200


Missouri

1,156

95

64,682

4,100


713

94

68,508

4,200



Table 4. Grade 4 and 8 school and student frame counts, expected school sample sizes, and initial target student sample sizes for the 2024 state-by-state and TUDA district assessments (Alpha samples) (Continued)







Jurisdiction

Grade 4

Grade 8




Schools in frame




Schools in sample




Students in frame

Overall target student sample

size





Schools in frame




Schools in sample




Students in frame


Overall target student sample size


Montana

390

129

11,327

4,100


273

100

11,852

4,200


Nebraska

515

103

23,441

4,100


296

95

24,000

4,200


Nevada

448

86

35,609

4,100


196

85

36,338

4,200


New Hampshire

269

103

12,197

4,100


150

78

12,790

4,200


New Jersey

1,353

88

92,373

4,100


799

87

97,658

4,200


New Mexico

445

97

22,486

4,100


246

90

24,103

4,200


New York

2,537

87

182,623

4,100


1,578

87

188,477

4,200


North Carolina

1,522

87

111,202

4,100


805

87

117,697

4,200


North Dakota

266

121

9,067

4,100


186

90

8,841

4,200


Ohio

1,662

89

120,052

4,100


1,101

89

125,713

4,200


Oklahoma

832

95

49,132

4,100


586

94

50,449

4,200


Oregon

766

95

39,389

4,100


425

92

42,428

4,200


Pennsylvania

1,536

85

122,312

4,100


883

86

128,573

4,200


Puerto Rico

534

199

18,978

4,800


354

196

18,085

4,800


Rhode Island

166

86

9,914

4,100


64

64

10,239

4,200

*

South Carolina

660

85

56,842

4,100


329

85

59,147

4,200


South Dakota

317

121

10,493

4,100


256

99

10,925

4,200


Tennessee

1,009

87

73,203

4,100


609

88

73,138

4,200


Texas

4,693

85

385,177

4,100


2,402

87

409,871

4,200


Utah

662

85

50,111

4,100


271

86

52,437

4,200


Vermont

205

135

5,715

4,100


114

87

5,624

4,200


Virginia

1,109

85

90,057

4,100


380

84

95,430

4,200


Washington

1,280

89

77,521

4,100


631

89

81,131

4,200


West Virginia

385

104

17,514

4,100


191

88

18,892

4,200


Wisconsin

1,078

96

56,271

4,100


652

92

58,944

4,200


Wyoming

176

101

6,927

4,100


90

63

7,439

4,200


Table 4. Grade 4 and 8 school and student frame counts, expected school sample sizes, and initial target student sample sizes for the 2024 state-by-state and TUDA district assessments (Alpha samples) (Continued)






Jurisdiction

Grade 4

Grade 8




Schools in frame




Schools in sample




Students in frame

Overall target student sample

size





Schools in frame




Schools in sample




Students in frame


Overall target student sample size


Albuquerque

103

46

5,703

2,050


49

35

5,719

2,100


Atlanta

55

40

3,979

2,050


26

26

3,712

2,100

*

Austin

77

42

5,597

2,050


20

20

5,121

2,100

*

Baltimore City

111

46

6,216

2,050


85

46

5,184

2,100


Boston

71

49

3,270

2,050


46

46

3,298

2,200

*

Charlotte

114

42

10,283

2,050


48

33

10,675

2,100


Chicago

458

73

23,660

3,075


455

74

24,367

3,150


Clark County, NV

240

62

22,140

3,075


75

55

23,031

3,150


Cleveland

65

55

2,489

2,050


64

64

2,437

2,437

**

Dallas

152

42

10,470

2,050


47

35

9,728

2,100


Denver

110

45

6,318

2,050


61

39

6,390

2,100


Detroit

73

47

3,736

2,050


60

46

3,094

2,100


Duval County, FL

127

42

10,046

2,050


60

35

9,103

2,100


Fort Worth

85

43

5,316

2,050


31

31

5,390

2,100

*

Guilford County, NC

74

44

4,912

2,050


31

31

5,268

2,100

*

Hillsborough County, FL

191

42

17,237

2,050


106

42

17,074

2,100


Houston

175

63

14,589

3,075


57

44

11,958

3,150


Jefferson County, KY

100

42

6,981

2,050


42

27

7,106

2,100


Los Angeles

496

63

34,356

3,075


129

60

30,031

3,150


Miami

294

64

23,438

3,075


198

65

25,322

3,150


Milwaukee

110

50

4,968

2,050


79

45

4,481

2,100


New York City

823

66

58,855

3,075


513

65

59,688

3,150


Orange County, FL

171

43

15,119

2,050


84

41

15,561

2,100


Philadelphia

148

45

9,011

2,050


120

43

8,069

2,100


San Diego

122

45

7,519

2,050


38

38

6,210

2,100

*

Shelby County, TN

117

43

8,246

2,050


65

38

7,517

2,100


District of Columbia PS

79

48

3,792

2,050


25

25

2,771

2,100

*

Counts for states do not reflect the oversampling for their constituent TUDA districts, nor the impact of oversampling for NIES.


Target student sample sizes reflect sample sizes prior to attrition due to exclusion, ineligibility, and nonresponse.

* identifies jurisdictions where all schools (but not all students) for the given grade are included in the NAEP sample. The decision to include all schools in Boston at grade 8 results in a slightly larger overall target student sample size there (2,200 instead of 2,100).

** identifies jurisdictions where all students for the given grade are included in the NAEP sample.


Table 5. Total sample sizes, combining state and TUDA samples







Jurisdiction

Grade 4

Grade 8




Schools in frame




Schools in sample




Students in frame

Overall target student sample

size





Schools in frame




Schools in sample




Students in frame

Overall target student sample

size


Alabama

695

87

55,049

4,100


440

87

56,397

4,200


Alaska

345

144

8,243

4,100


266

107

8,693

4,200


Arizona

1,256

90

81,571

4,100


847

91

84,103

4,200


Arkansas

470

87

35,717

4,100


310

85

37,562

4,200


Bureau Of Indian Education

137

137

2,583

2,583

**

112

112

2,437

2,437

**

California

6,171

186

425,185

8,820


3,088

179

431,483

9,096


Colorado

1,100

127

61,636

5,728


624

120

64,834

5,885


Connecticut

554

87

35,879

4,100


287

86

37,515

4,200


Delaware

119

79

10,276

4,100


70

51

11,048

4,200


District Of Columbia

127

93

6,245

4,100


70

70

5,552

4,342

*

DoDEA Schools

90

90

5,601

5,601

**

55

55

4,427

4,427

**

Florida

2,327

249

208,179

12,027


1,345

243

213,850

12,332


Georgia

1,254

120

124,867

6,019


590

108

134,510

6,184


Hawaii

207

89

13,795

4,100


86

55

12,186

4,200


Idaho

398

92

23,178

4,100


227

87

24,448

4,200


Illinois

2,114

146

131,275

6,435


1,416

148

140,398

6,620


Indiana

1,013

86

75,223

4,100


496

86

79,274

4,200


Iowa

614

92

35,335

4,100


354

88

37,203

4,200


Kansas

691

97

33,802

4,100


396

94

36,016

4,200


Kentucky

725

118

46,863

5,539


422

105

49,507

5,697


Louisiana

737

89

50,543

4,100


502

89

50,568

4,200


Maine

308

112

12,200

4,100


200

93

12,919

4,200


Maryland

888

122

64,913

5,758


366

124

65,642

5,969


Massachusetts

948

132

65,014

5,945


498

127

68,916

6,199


Michigan

1,664

134

99,728

5,996


1,101

134

103,412

6,174


Minnesota

990

93

61,527

4,100


729

95

65,001

4,200


Mississippi

400

87

32,598

4,100


272

84

34,639

4,200


Missouri

1,156

95

64,682

4,100


713

94

68,508

4,200


Montana

390

129

11,327

4,100


273

100

11,852

4,200



Table 5. Total sample sizes, combining state and TUDA samples (Continued)







Jurisdiction

Grade 4

Grade 8




Schools in frame




Schools in sample




Students in frame

Overall target student sample

size





Schools in frame




Schools in sample




Students in frame

Overall target student sample

size


Nebraska

515

103

23,441

4,100


296

95

24,000

4,200


Nevada

448

96

35,609

4,620


196

88

36,338

4,685


New Hampshire

269

103

12,197

4,100


150

78

12,790

4,200


New Jersey

1,353

88

92,373

4,100


799

87

97,658

4,200


New Mexico

445

119

22,486

5,101


246

104

24,103

5,298


New York

2,537

124

182,623

5,853


1,578

125

188,477

6,019


North Carolina

1,522

160

111,202

7,640


805

139

117,697

7,831


North Dakota

266

121

9,067

4,100


186

90

8,841

4,200


Ohio

1,662

141

120,052

6,065


1,101

150

125,713

6,556


Oklahoma

832

95

49,132

4,100


586

94

50,449

4,200


Oregon

766

95

39,389

4,100


425

92

42,428

4,200


Pennsylvania

1,536

124

122,312

5,848


883

122

128,573

6,036


Puerto Rico

534

199

18,978

4,800


354

196

18,085

4,800


Rhode Island

166

86

9,914

4,100


64

64

10,239

4,200

*

South Carolina

660

85

56,842

4,100


329

85

59,147

4,200


South Dakota

317

121

10,493

4,100


256

99

10,925

4,200


Tennessee

1,009

121

73,203

5,688


609

117

73,138

5,868


Texas

4,693

267

385,177

12,941


2,402

210

409,871

13,319


Utah

662

85

50,111

4,100


271

86

52,437

4,200


Vermont

205

135

5,715

4,100


114

87

5,624

4,200


Virginia

1,109

85

90,057

4,100


380

84

95,430

4,200


Washington

1,280

89

77,521

4,100


631

89

81,131

4,200


West Virginia

385

104

17,514

4,100


191

87

18,892

4,200


Wisconsin

1,078

137

56,271

5,786


652

129

58,944

5,980


Wyoming

176

101

6,927

4,100


90

63

7,439

4,200


Total

52,313

6,269

3,561,640

270,092


29,749

5,660

3,711,269

276,155


Sample sizes for each state reflect the samples in the TUDA districts within the state, but do not reflect the impact of NIES oversampling.

* identifies jurisdictions where all schools (but not all students) for the given grade are included in the NAEP sample.

** identifies jurisdictions where all students for the given grade are included in the NAEP sample.

Stratification


Each state and grade will be stratified separately but using a common approach in all cases. TUDA districts will be separated from the balance of their state, and each part stratified separately. The first level of stratification will be based on urban-centric type of location. This variable has 12 levels (some of which may not be present in a given state or TUDA district), and these will be collapsed so that each of the resulting location categories contains at least 10 percent of the student population (13 percent for large TUDA districts and 20 percent for small TUDA districts).


Within each of the resulting location categories, schools will be assigned a minority enrollment status. This is based on the two race/ethnic groups that are the second and third most prevalent within the location category. If these groups are both low in percentage terms, no minority classification will be used. Otherwise, three (or occasionally four) equal-sized groups (generally high, medium, and low minority) will be formed based on the distribution across schools of the two minority groups.


Within the resulting location and minority group classes (of which there are likely to be from two to twenty-three, depending upon the jurisdiction), schools will be sorted by a measure derived from school level results from the most recent available state achievement tests at the relevant grade. In general, mathematics test results will be used, but where these are not available, reading results will be used. In the few states that do not have math or reading tests at grades 4 and 8 (or where we are unable to match the results to the NAEP school frame), instead of achievement data, schools will be sorted using a measure of socio-economic status. This is the median household income of the 5-digit ZIP Code area where the school is located, based on the 2021 ACS (5-year) data. For BIE and DoDEA schools neither achievement data nor income data are available, and so grade enrollment is used in these cases.


Once the schools are sorted in a serpentine fashion by location class, minority enrollment class, and achievement data (or household income/grade enrollment), a systematic sample of schools will be selected using a random start. Schools will be sampled with probability proportional to size.



  1. Beta Samples


The beta samples include the national public-school samples at grades 8 and 12. At grade 8, the beta sample will be used for the national science assessment. At grade 12, the beta sample will be used for the national mathematics and reading assessments. Each of the samples will be nationally representative. The grade 8 sample will be selected to have minimal overlap with the alpha sample schools at grade 8. The number of students targeted for selection per school will be 50.


To increase the likelihood that the results for AIAN students can be reported for these samples, we will oversample public schools with a relatively high-AIAN student population. That is, a public school with at least 5 AIAN students and at least 5 percent AIAN enrollment will be given four times the chance of selection of a public school of the same size with a lower AIAN percentage. For all other schools, whenever there are at least 10 Black or Hispanic students enrolled and the combined Black and Hispanic enrollment at least 15 percent, the school will be given twice the chance of selection of a public school of the same size with a lower percentage of these two groups. This approach is effective in increasing the sample sizes of AIAN, Black, and Hispanic students without inducing undesirably large design effects on the sample, either overall, or for particular subgroups.

Stratification


The beta samples will have an implicit stratification, using a hierarchy of stratifiers and a serpentine sort. The highest level of the hierarchy is high/low AIAN status. The second stratifier is Census division (10 categories: the usual 9 plus California as a separate category). Some of the Census divisions within the high AIAN stratum will be collapsed with neighboring Census divisions (this will occur if the expected school sample size within the cell is less than 4.0).


The next stratifier in the hierarchy is type of location, which has twelve categories. Within the high AIAN stratum, the cells will likely be too small to further stratify by type of location. Within the low AIAN stratum, many of the type of location strata nested within Census divisions will be collapsed with neighboring type of location cells (this will occur if the expected school sample size within the cell is less than 4.0).


These geographic strata will be subdivided into high/low Black and Hispanic substrata. If the expected initial sample size in a Black/Hispanic substratum is less than 8.0, it will be left as is. If the expected sample size is greater than or equal to 8.0, then it will be subdivided into up to four substrata (two for expected sample size up to but less than 12.0, three for expected sample size up to but less than 16.0, and four for expected sample size greater than or equal to 16.0). For the high Black/Hispanic substrata, the subdivision will be by percentage Black and Hispanic. For the low Black/Hispanic substrata, the subdivision will be by state or groups of contiguous states.


Within these substrata, the schools are to be sorted by school type (public, BIE, DoDEA) and median household income from the 2021 5-year ACS (using a serpentine sort within the school type substrata).



  1. Delta Samples


These are the private school samples at grades 4 and 8 for conducting the operational/bridge study assessments in reading and mathematics. The sample sizes are large enough to report results by Catholic and non-Catholic at grades 4 and 8 (of course participation rate standards must be met). Approximately half the sample at each grade will be from Catholic schools. The grade 8 delta samples will be selected to have minimum overlap with the grade 4 delta sample. The number of students targeted per school will be 50 at each grade.


Stratification


The private schools are to be explicitly stratified by private school type (Catholic/Other). Within each private school type, implicit stratification will be by Census region (4 categories), type of location (12 categories), race/ethnicity composition, and enrollment size. In general, where there are few or no schools in a given stratum, categories will be collapsed together, always preserving the private school type.



  1. Epsilon Samples


With regard to subjects and grades assessed, the epsilon samples are analogous to the beta samples, but for private schools. However, in contrast to the beta samples, there will be no oversampling of high AIAN or high Black and Hispanic schools. The same stratification variables will be used as for the delta samples. The epsilon sample schools at grade 8 will have minimum overlap with the delta grade 8 sample schools which, given the respective sample sizes, means that no schools will be selected for both the delta and epsilon samples at grade 8. The number of students targeted per school will be 50.



  1. Pi Samples


These are the public-school samples at grades 4 and 8 for conducting the pilot test assessments in reading and mathematics, including the reading router pilot. The pi sample will also include the pilot assessments for Puerto Rico mathematics at grades 4 and 8. These samples will be selected from a sample of 66 geographic Primary Sampling Units (PSUs) plus Puerto Rico. Schools selected in the alpha and beta samples for grades 4 and 8 will be avoided. The number of students targeted per school will be 50 for schools in the reading and mathematics pilot and 25 for schools in the Puerto Rico mathematics pilot.


Primary Sampling Unit (PSU) Selection


The samples for the pilot test assessments will be based on a clustered design using PSUs. The design will be based on a sample of 66 PSUs selected from a frame of approximately 1,000 PSUs. In this design, the 29 largest MeSAs will be selected with certainty, and the remaining sample will be selected with probability proportional to size (PPS) where the size measure is a function of the number of children as given in the most recent population estimates prepared by the U.S. Census Bureau. For the stratification, 76 minor strata will be formed and paired, and a single PSU will be selected from one stratum in each of the 38 pairs for a total of 67 PSUs. To keep field costs down and because there will be no weights for the pilot tests, the plan is to exclude the PSU in Honolulu, HI. Therefore, there will be a 66-PSU sample for the pilot test samples.


For Puerto Rico, there is not a PSU selection stage.


Stratification


For the pilot test samples, explicit stratification will take place at the PSU level. Although a nationally representative sample is not required, stratification will be used for the purpose of having a good variety of area characteristics, as well as school and student characteristics to serve the purposes of the pilot tests. For schools within PSUs, stratification will occur by sorting the school file prior to systematic selection. As in past national samples, the expectation is that, within the set of certainty MeSA PSUs within a census region, PSU will not necessarily be the highest level sort variable. Thus, type of location will be used as the primary sort variable. The design is aimed primarily at getting the correct balance of city, suburban, town, and rural schools, as a priority over getting exactly a proportional representation from each MeSA. The sort of the schools will use other variables beyond the type of location variable, such as a race/ethnicity percentage variable. No oversampling of schools or students will occur in the pilot test samples. Schools will be selected with probabilities proportionate to size.


For Puerto Rico, the sample will not be clustered. The sampling frame of schools will be stratified using the type of location variable. No oversampling of schools or students will occur in the pilot tests in Puerto Rico. Schools will be selected with probabilities proportionate to size.


The preliminary 2021-22 CCD serves as the basis for the public-school frames for the pilot test samples. The PSS file is not needed since the pilot test samples do not involve private schools.

  1. School-based Equipment Proof of Concept


The SBE POC will be fielded shortly after the main NAEP data collection in 2024. It will consist of 1,000 assessed students in each of grades 4 and 8. There will be a target of 26 participating schools in grade 4 and 25 in grade 8. The sample of schools will be a non-probability sample. The details of the sampling for the SBE POC is to be developed further.



  1. New Schools

To compensate for the fact that files used to create the NAEP school sampling frames are at least two years out of date at the time of frame construction, we will supplement the alpha, beta, delta, and epsilon samples with new school samples at each grade.


The new school samples will be drawn using a two-stage design. At the first stage, a minimum of ten school districts (in states with at least ten districts) will be selected from each state for public schools, and ten Catholic dioceses will be selected nationally for the private schools. The sampled districts and dioceses will be asked to review lists of their respective schools and identify new schools. Frames of new schools will be constructed from these updates, and new schools will be drawn with probability proportional to size using the same sample rates as their corresponding original school samples.


The school sample sizes in the above tables do not reflect new school samples.



  1. Substitute Samples

Substitute samples will be selected for each of the beta, delta, and epsilon samples. The substitute school for each original will be the next “available” school on the sorted sampling frame, with the following exceptions:


  1. Schools selected for any NAEP samples will not be used as substitutes.


  1. Private schools whose school affiliation is unknown will not be used as substitutes. Also, unknown affiliated private schools in the original samples will not get substitutes.


  1. New schools will not get substitutes.


  1. A school can be a substitute for one and only one sample. (If a school is selected as a substitute school for grade 12, for example, it cannot be used as a substitute for either grade 4 or grade 8.)


  1. A public-school substitute will always be in the same state as its original school.


  1. A Catholic school substitute will always be a Catholic school, and the same for non-Catholic schools.

  1. Contingency Samples


The districts that are taking part in the TUDA program are volunteers. Thus it is possible that at some point over the next few months, a given district might choose to opt out of the TUDA program for 2024. However, it is not acceptable for all schools in such a district to decline NAEP, as then the state estimates will be adversely affected. Thus to deal with this possibility, in each TUDA district, subsamples of the alpha sample schools will be identified as contingency samples. In the event that the district withdraws from the TUDA program prior to the selection of the student sample, all alpha sampled schools from that district will be dropped from the sample, with the exception of those selected in the contingency sample. The contingency sample will provide a proportional representation of the district, within the aggregate state sample. Student sampling in those schools will then proceed in the same way as for the other schools within the same state.



  1. Student Sampling


Students within the sampled schools will be selected with equal probability. The student sampling parameters vary by sample type (alpha, beta, delta, epsilon, and pi) and grade as described below.


Alpha Sample, Grades 4 and 8 Schools (Except Puerto Rico)


  1. All students, up to 52, will be selected.


  1. If the school has more than 52 students, a systematic sample of 50 students will be selected. In some schools, the school may be assigned more than one ‘hit’ in sampling. In these schools we will select a sample of size 50 times the number of hits, taking all students if this target is greater than or equal to 50/52 of the total enrollment.



Alpha Sample, Puerto Rico Grades 4 and 8


  1. All students, up to 26, will be selected.


  1. If the school has more than 26 students, a systematic sample of 25 students will be selected.



Delta Samples, Grades 4 and 8


  1. All students, up to 52, will be selected.


  1. If the school has more than 52 students, a systematic sample of 50 students will be selected.



Beta Sample, Grades 8 and 12


  1. All students, up to 52, will be selected.


  1. If the school has more than 52 students, a systematic sample of 50 students will be selected.

Epsilon Sample, Grades 8 and 12


  1. All students, up to 52, will be selected.


  1. If the school has more than 52 students, a systematic sample of 50 students will be selected.



Pi Samples, Grades 4 and 8 (Except Puerto Rico)


  1. All students, up to 52, will be selected.


  1. If the school has more than 52 students, a systematic sample of 50 students will be selected.



Pi Samples, Puerto Rico Grades 4 and 8


  1. All students, up to 26, will be selected.


  1. If the school has more than 26 students, a systematic sample of 25 students will be selected.



  1. Weighting Requirements


The Operational Reading and Mathematics Assessments, Grades 4 and 8


The exact weighting requirements for these samples have yet to be determined. One likely possibility is that three sets of student weights will be required – for assessments conducted on Surface Pros (SP) alone, on Chromebooks (CB) alone, and SP/CB combined. The samples will have student weights for each subject (reading and math) applied to reflect probabilities of selection, school and student nonresponse, any trimming, and the random assignment to the particular subject. There will be separate replication schemes by grade and public/private. Weights will also be derived for the Puerto Rico assessment at grades 4 and 8.


The Operational Science Assessment, Grade 8


The samples will have a single set of student weights for science applied to reflect probabilities of selection, school and student nonresponse, any trimming. There will be separate replication schemes by public/private.


The Operational Reading and Mathematics Assessments, Grade 12


The samples will have a single set of student weights for each subject (reading and math) applied to reflect probabilities of selection, school and student nonresponse, any trimming, and the random assignment to the particular subject. There will be separate replication schemes by public/private.

Pilot Tests for Reading and Mathematics, Grades 4 and 8


As is standard practice, only preliminary weights will be provided for these assessments. The sample weights will reflect probabilities of selection, and the random assignment to the particular subject.


No weights will be provided for the SBE POC.


School Weights


In addition to student weights, each sample described above will have a set of school weights to provide secondary users a means to analyze data at the school level. Each sample will have a single set of school weights for each subject (reading, math, or science) applied to reflect probabilities of selection, school nonresponse, any trimming, and a small-school adjustment to account for schools too small to do both subjects associated to their respective samples. There will be separate replication schemes by public/private.



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