0704-0675 Revised SSB 2.28.2024

0704-0675 Revised SSB 2.28.2024.docx

Spouse and Family Issues Survey – Active Duty

OMB: 0704-0675

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SUPPORTING STATEMENT – PART B

B.  COLLECTIONS OF INFORMATION EMPLOYING STATISTICAL METHODS

UPDATE 2/21/2024: Document has been updated to include the Reserve population on the SFIS.

If the collection of information employs statistical methods, it should be indicated in Item 17 of OMB Form 83-I, and the following information should be provided in this Supporting Statement:



1.  Description of the Activity

The population of interest for the Spouse and Family Issues Survey (SFIS) consists of spouses of active duty and Reserve members from the Army, Navy, Marine Corps, Air Force and Space Force who are below flag rank. In addition, for the spouse to remain eligible for the survey, they must indicate they are currently married to an active duty or Reserve member at the time of the survey. Attachments A and B contain tables with the number of individuals in the population and sample by strata. The expected weighted response rate for this survey is 20%.

2.  Procedures for the Collection of Information

a. Statistical methodologies for stratification and sample selection:

As described above, OPA uses a sampling tool developed by the Research Triangle Institute (RTI) to determine the sample size needed to achieve 95% confidence and an associated precision of 5% or less on each reporting category domains. We select a single-stage, non-proportional stratified random sample to ensure a statistically adequate expected number of responses for the reporting domains. For the SFIS, OPA uses Service, paygrade, gender, and family status to define the initial strata. We collapse these strata when there are fewer than 200 individuals in the stratum. Once OPA determines the stratum-level sample sizes, a random number is assigned to every member of the population and the population is sorted by stratum and random number prior to sampling, which results in a randomly-ordered population within each stratum. We then select the appropriate number of spouses from each stratum.



b.  Estimation procedures:

OPA weights the eligible respondents in order to make inferences about the entire population of active duty and Reserve spouses. The weighting methodology utilizes standard weighting processes. First, we assign a base weight to the sampled member based on the reciprocal of the selection probability. Second, OPA uses 20-30 administrative variables in the XGBoost application of Generalized Boosted Model (GBM) to predict survey eligibility and completion. OPA’s accurate and detailed administrative data on both survey respondents and non-respondents provides confidence in our survey estimates. We adjust the sampling weights and then all prior-stage weights by the inverse of these model-predicted probabilities to adjust for nonresponse. Finally, we rake these adjusted weights to known population totals to further reduce the variance and bias of the estimates.

c.  Degree of accuracy needed for the Purpose discussed in the justification:

OPA forms variance strata by collapsing sampling strata to achieve about 50 respondents within each variance stratum. OPA computes variance estimates within variance strata so precision measures can be associated with each estimate. We produce precision measures for reporting categories using 95% confidence intervals with the goal of achieving a precision of 5% or less (e.g., 80% (+/- 5%) of spouses of Army E1-E4 are satisfied with their job).

d.  Unusual problems requiring specialized sampling procedures:

OPA recognizes the response rates vary for certain domains of interest such as Service and paygrade. To account for this, we will average the response rates for the last three Active Duty and Reserve Spouse Surveys (same population as the SFIS) at the stratum level and use these response rates in the sampling tool to create the SFIS sample and compute expected numbers of respondents within domains of interest.

e.  Use of periodic or cyclical data collections to reduce respondent burden:

This is the first administration of the SFIS. There aren’t any surveys within the DoD that assess the issues on this survey.

3.  Maximization of Response Rates, Non-response, and Reliability

To maximize response rates, OPA offers the survey via the Web and provides a paper survey option. Reminder letters and emails to non-respondents are used to maximize response rates. To reduce respondent burden, web-based surveys use “smart skip” technology to ensure respondents only answer questions that are applicable to them. To ensure the accuracy and reliability of responses, OPA conducts nonresponse adjustments as part of the weighting process. The results for the 2021 Active Duty Spouse Survey and 2023 Reserve Component Spouse Survey are useful in that the response expectations and survey methodology mirror the SFIS. Nonresponse adjustments are contained in the 2019 ADSS Statistical Methodology Report and are available on request: Office of People Analytics. (August 2020). 2019 Survey of Active Duty Spouses: Statistical Methodology Report. (OPA Report No. 2020-050). Alexandria, VA.

To increase response rates, individual QR codes will be included on the postal letters, offering a quick mechanism for respondents to access and complete the survey via their mobile device.


4.  Tests of Procedures

Not applicable



5.  Statistical Consultation and Information Analysis

a. Provide names and telephone number of individual(s) consulted on statistical aspects of the design.

Dr. Matthew Scheidt, Team Lead; Statistical Methods Team, Methods, Analysis, and Systems Support, Office of People Analytics (OPA); matthew.s.scheidt.civ@mail.mil.

b. Provide name and organization of person(s) who will actually collect and analyze the collected information.

The data will be collected by Data Recognition Corporation (DRC), which is OPA’s operations contractor. Ms. Valerie Waller is the Senior Managing Director at DRC.

The data will be analyzed by OPA analysts. Monica Wiedemann, Robin Myers, and contractors Jason Haynes, and Amy Campbell are the lead operations analysts.

Attachment A. 2023 ADSS - Population and Sample Size by Strata

Stratum

Stratum Definitions

Population Size

Sample

Size

All

Total

636,399

65,000

1

001 ARMY__E1-E4+E0__MALE+UNK__Mar+Child

19926

2839

2

002 ARMY__E1-E4+E0__MALE+UNK__MarNoChild

20694

2810

3

003 ARMY__E1-E4+E0__FEMALE__Mar+Child

3804

655

4

004 ARMY__E1-E4+E0__FEMALE__MarNoChild

6301

1101

5

005 ARMY__E5-E6__MALE+UNK__Mar+Child

49814

3072

6

006 ARMY__E5-E6__MALE+UNK__MarNoChild

22550

1359

7

007 ARMY__E5-E6__FEMALE__Mar+Child

5319

395

8

008 ARMY__E5-E6__FEMALE__MarNoChild

4925

398

9

009 ARMY__E7-E9__MALE+UNK__Mar+Child

31309

2374

10

010 ARMY__E7-E9__MALE+UNK__MarNoChild

6924

514

11

011 ARMY__E7-E9__FEMALE__Mar+Child

2404

223

12

012 ARMY__E7-E9__FEMALE__MarNoChild

1162

104

13

013 ARMY__W1-W5+W0__MALE+UNK__Mar+Child

9070

424

14

014 ARMY__W1-W5+W0__MALE+UNK__MarNoChild

2260

106

15

015 ARMY__W1-W5+W0__FEMALE__Mar+Child

545

29

16

016 ARMY__W1-W5+W0__FEMALE__MarNoChild

308

21

17

017 ARMY__O1-O3+O0__MALE+UNK__Mar+Child

11452

1038

18

018 ARMY__O1-O3+O0__MALE+UNK__MarNoChild

7424

650

19

019 ARMY__O1-O3+O0__FEMALE__Mar+Child

1751

189

20

020 ARMY__O1-O3+O0__FEMALE__MarNoChild

2686

271

21

021 ARMY__O4-O6__MALE+UNK__Mar+Child

17317

1077

22

022 ARMY__O4-O6__MALE+UNK__MarNoChild

3930

239

23

023 ARMY__O4-O6__FEMALE__Mar+Child

2332

169

24

024 ARMY__O4-O6__FEMALE__MarNoChild

1175

81

25

025 NAVY__E1-E4+E0__MALE+UNK__Mar+Child

6820

1393

26

026 NAVY__E1-E4+E0__MALE+UNK__MarNoChild

15766

3027

27

027 NAVY__E1-E4+E0__FEMALE__Mar+Child

2381

597

28

028 NAVY__E1-E4+E0__FEMALE__MarNoChild

6149

1568

29

029 NAVY__E5-E6__MALE+UNK__Mar+Child

36721

1942

30

030 NAVY__E5-E6__MALE+UNK__MarNoChild

20859

1060

31

031 NAVY__E5-E6__FEMALE__Mar+Child

5581

360

32

032 NAVY__E5-E6__FEMALE__MarNoChild

5688

359

33

033 NAVY__E7-E9__MALE+UNK__Mar+Child

19466

2268

34

034 NAVY__E7-E9__MALE+UNK__MarNoChild

3430

389

35

035 NAVY__E7-E9__FEMALE__Mar+Child

1691

246

36

036 NAVY__E7-E9__FEMALE__MarNoChild

699

97

37

037 NAVY__W1-W5+W0__MALE+FEMALE__Mar+Child

1461

67

38

038 NAVY__W1-W5+W0__MALE+FEMALE__MarNoChild

280

12

39

039 NAVY__O1-O3+O0__MALE+UNK__Mar+Child

7239

804

40

040 NAVY__O1-O3+O0__MALE+UNK__MarNoChild

5628

593

41

041 NAVY__O1-O3+O0__FEMALE__Mar+Child

1205

161

42

042 NAVY__O1-O3+O0__FEMALE__MarNoChild

1955

241

43

043 NAVY__O4-O6__MALE+UNK__Mar+Child

12173

1024

44

044 NAVY__O4-O6__MALE+UNK__MarNoChild

2636

218

45

045 NAVY__O4-O6__FEMALE__Mar+Child

1653

164

46

046 NAVY__O4-O6__FEMALE__MarNoChild

811

81

47

047 USMC__E1-E4+E0__MALE+UNK__Mar+Child

4101

1428

48

048 USMC__E1-E4+E0__MALE+UNK__MarNoChild

13382

4281

49

049 USMC__E1-E4+E0__FEMALE__Mar+Child

443

237

50

050 USMC__E1-E4+E0__FEMALE__MarNoChild

1973

824

51

051 USMC__E5-E6__MALE+UNK__Mar+Child

12156

2569

52

052 USMC__E5-E6__MALE+UNK__MarNoChild

8404

1718

53

053 USMC__E5-E6__FEMALE__Mar+Child

928

245

54

054 USMC__E5-E6__FEMALE__MarNoChild

1161

295

55

055 USMC__E7-E9__MALE+UNK__Mar+Child

9514

2850

56

056 USMC__E7-E9__MALE+UNK__MarNoChild

1256

369

57

057 USMC__E7-E9__FEMALE__MarChild+NoChild

597

212

58

058 USMC__W1-W5+W0__MALE+FEMALE__MarChild+NoChild

1995

317

59

059 USMC__O1-O3+O0__MALE+UNK__Mar+Child

2875

899

60

060 USMC__O1-O3+O0__MALE+UNK__MarNoChild

2763

823

61

061 USMC__O1-O3+O0__FEMALE__MarChild+NoChild

557

192

62

062 USMC__O4-O6__MALE+UNK__Mar+Child

4761

1303

63

063 USMC__O4-O6__MALE+UNK__MarNoChild

803

213

64

064 USMC__O4-O6__FEMALE__MarChild+NoChild

307

96

65

065 USAF__E1-E4+E0__MALE+UNK__Mar+Child

9862

1403

66

066 USAF__E1-E4+E0__MALE+UNK__MarNoChild

17867

2412

67

067 USAF__E1-E4+E0__FEMALE__Mar+Child

2534

441

68

068 USAF__E1-E4+E0__FEMALE__MarNoChild

7080

1115

69

069 USAF__E5-E6__MALE+UNK__Mar+Child

35077

2012

70

070 USAF__E5-E6__MALE+UNK__MarNoChild

17976

988

71

071 USAF__E5-E6__FEMALE__Mar+Child

5458

378

72

072 USAF__E5-E6__FEMALE__MarNoChild

5181

330

73

073 USAF__E7-E9__MALE+UNK__Mar+Child

18141

1851

74

074 USAF__E7-E9__MALE+UNK__MarNoChild

3396

334

75

075 USAF__E7-E9__FEMALE__Mar+Child

3252

390

76

076 USAF__E7-E9__FEMALE__MarNoChild

1223

138

77

077 USAF__O1-O3+O0__MALE+UNK__Mar+Child

7219

610

78

078 USAF__O1-O3+O0__MALE+UNK__MarNoChild

6860

552

79

079 USAF__O1-O3+O0__FEMALE__Mar+Child

1410

139

80

080 USAF__O1-O3+O0__FEMALE__MarNoChild

2894

265

81

081 USAF__O4-O6__MALE+UNK__Mar+Child

15043

941

82

082 USAF__O4-O6__MALE+UNK__MarNoChild

3266

196

83

083 USAF__O4-O6__FEMALE__Mar+Child

2683

191

84

084 USAF__O4-O6__FEMALE__MarNoChild

1343

95

85

085 USSF__E1-E4+E0__MALE+FEMALE__MarChild+NoChild

470

470

86

086 USSF__E5-E6__MALE+FEMALE__Mar+Child

649

649

87

087 USSF__E5-E6__MALE+FEMALE__MarNoChild

452

452

88

088 USSF__E7-E9__MALE+FEMALE__MarChild+NoChild

615

615

89

089 USSF__O1-O3+O0__MALE+FEMALE__Mar+Child

499

499

90

090 USSF__O1-O3+O0__MALE+FEMALE__MarNoChild

582

582

91

091 USSF__O4-O6__MALE+FEMALE__Mar+Child

1395

1395

92

092 USSF__O4-O6__MALE+FEMALE__MarNoChild

322

322



Attachment B. 2023 RCSS – Estimated Population and Sample Size by Strata


Stratum

Stratum Definitions

Population Size

Sample Size

All

Total

351,038

65,000

1

001 ARMYNG_E1-E4_MALE_MARR_CHILD

14,511

2,317

2

002 ARMYNG_E1-E4_MALE_MARR_NOCHILD

8,224

1,274

3

003 ARMYNG_E1-E4_FEMALE_MARR_CHILD

2,175

492

4

004 ARMYNG_E1-E4_FEMALE_MARR_NOCHILD

2,072

388

5

005 ARMYNG_E5-E9_MALE_MARR_CHILD

51,029

3,174

6

006 ARMYNG_E5-E9_MALE_MARR_NOCHILD

12,940

861

7

007 ARMYNG_E5-E9_FEMALE_MARR_CHILD

4,956

371

8

008 ARMYNG_E5-E9_FEMALE_MARR_NOCHILD

2,223

160

9

009 ARMYNG_W1-W5_MALE_MARR_CHILD

4,749

378

10

010 ARMYNG_W1-W5_MALE_MARR_NOCHILD

1,368

112

11

011 ARMYNG_W1-W5_FEMALE_MARRIED_CHILD_NOCHILD

459

35

12

012 ARMYNG_O1-O3_MALE_MARR_CHILD

7,892

1,206

13

013 ARMYNG_O1-O3_MALE_MARR_NOCHILD

3,084

460

14

014 ARMYNG_O1-O3_FEMALE_MARR_CHILD

916

163

15

015 ARMYNG_O1-O3_FEMALE_MARR_NOCHILD

756

139

16

016 ARMYNG_O4-O6_MALE_MARR_CHILD

7,586

1,304

17

017 ARMYNG_O4-O6_MALE_MARR_NOCHILD

1,253

216

18

018 ARMYNG_O4-O6_FEMALE_MARRIED_CHILD_NOCHILD

925

182

19

019 ARMYR_E1-E4_MALE_MARR_CHILD

8,573

2,019

20

020 ARMYR_E1-E4_MALE_MARR_NOCHILD

6,061

1,386

21

021 ARMYR_E1-E4_FEMALE_MARR_CHILD

2,104

575

22

022 ARMYR_E1-E4_FEMALE_MARR_NOCHILD

2,328

630

23

023 ARMYR_E5-E9_MALE_MARR_CHILD

28,154

4,128

24

024 ARMYR_E5-E9_MALE_MARR_NOCHILD

8,365

1,319

25

025 ARMYR_E5-E9_FEMALE_MARR_CHILD

4,558

820

26

026 ARMYR_E5-E9_FEMALE_MARR_NOCHILD

2,277

376

27

027 ARMYR_W1-W5_MALE_MARR_CHILD

1,803

483

28

028 ARMYR_W1-W5_MALE_MARR_NOCHILD

542

152

29

029 ARMYR_W1-W5_FEMALE_MARRIED_CHILD_NOCHILD

327

90

30

030 ARMYR_O1-O3_MALE_MARR_CHILD

5,085

1,103

31

031 ARMYR_O1-O3_MALE_MARR_NOCHILD

2,384

429

32

032 ARMYR_O1-O3_FEMALE_MARR_CHILD

1,322

370

33

033 ARMYR_O1-O3_FEMALE_MARR_NOCHILD

1,147

208

34

034 ARMYR_O4-O6_MALE_MARR_CHILD

8,166

2,862

35

035 ARMYR_O4-O6_MALE_MARR_NOCHILD

1,755

620

36

036 ARMYR_O4-O6_FEMALE_MARR_CHILD

1,365

607

37

037 ARMYR_O4-O6_FEMALE_MARR_NOCHILD

672

293

38

038 NAVYR_E1-E4_MALE_MARR_CHILD

1,316

1,316

39

039 NAVYR_E1-E4_MALE_MARR_NOCHILD

1,172

1,172

40

040 NAVYR_E1-E4_FEMALE_MARR_CHILD

467

467

41

041 NAVYR_E1-E4_FEMALE_MARR_NOCHILD

479

479

42

042 NAVYR_E5-E9_MALE_MARR_CHILD

11,210

1,565

43

043 NAVYR_E5-E9_MALE_MARR_NOCHILD

3,601

499

44

044 NAVYR_E5-E9_FEMALE_MARR_CHILD

2,287

358

45

045 NAVYR_E5-E9_FEMALE_MARR_NOCHILD

1,165

217

46

046 NAVYR_W1-O3_MALE_MARR_CHILD

1,758

996

47

047 NAVYR_W1-O3_MALE_MARR_NOCHILD

687

394

48

048 NAVYR_W1-O3_FEMALE_MARRIED_CHILD_NOCHILD

566

359

49

049 NAVYR_O4-O6_MALE_MARR_CHILD

5,368

1,226

50

050 NAVYR_O4-O6_MALE_MARR_NOCHILD

1,175

243

51

051 NAVYR_O4-O6_FEMALE_MARR_CHILD

690

156

52

052 NAVYR_O4-O6_FEMALE_MARR_NOCHILD

321

61

53

053 MCRES_E1-E4_MALE+FEMALE_MARR_CHILD

796

464

54

054 MCRES_E1-E4_MALE+FEMALE_MARR_NOCHILD

1,691

983

55

055 MCRES_E5-E9_MALE+FEMALE_MARR_CHILD

3,322

2,605

56

056 MCRES_E5-E9_MALE+FEMALE_MARR_NOCHILD

1,315

941

57

057 MCRES_W1-O3_MALE+FEMALE_MARR_CHILD

689

494

58

058 MCRES_W1-O3_MALE+FEMALE_MARR_NOCHILD

406

239

59

059 MCRES_O4-O6_MALE+FEMALE_MARR_CHILD

1,708

1,570

60

060 MCRES_O4-O6_MALE+FEMALE_MARR_NOCHILD

359

327

61

061 AIRNG_E1-E4_MALE_MARR_CHILD

2,588

1,214

62

062 AIRNG_E1-E4_MALE_MARR_NOCHILD

1,884

998

63

063 AIRNG_E1-E4_FEMALE_MARR_CHILD

670

422

64

064 AIRNG_E1-E4_FEMALE_MARR_NOCHILD

861

533

65

065 AIRNG_E5-E9_MALE_MARR_CHILD

25,710

2,022

66

066 AIRNG_E5-E9_MALE_MARR_NOCHILD

7,995

663

67

067 AIRNG_E5-E9_FEMALE_MARR_CHILD

4,490

360

68

068 AIRNG_E5-E9_FEMALE_MARR_NOCHILD

1,821

148

69

069 AIRNG_O1-O3_MALE_MARR_CHILD

2,365

968

70

070 AIRNG_O1-O3_MALE_MARR_NOCHILD

718

283

71

071 AIRNG_O1-O3_FEMALE_MARR_CHILD

535

244

72

072 AIRNG_O1-O3_FEMALE_MARR_NOCHILD

338

153

73

073 AIRNG_O4-O6_MALE_MARR_CHILD

5,815

1,206

74

074 AIRNG_O4-O6_MALE_MARR_NOCHILD

892

177

75

075 AIRNG_O4-O6_FEMALE_MARRIED_CHILD_NOCHILD

1,111

245

76

076 AFRES_E1-E4_MALE_MARR_CHILD

1,677

1,556

77

077 AFRES_E1-E4_MALE_MARR_NOCHILD

1,161

1,037

78

078 AFRES_E1-E4_FEMALE_MARR_CHILD

559

559

79

079 AFRES_E1-E4_FEMALE_MARR_NOCHILD

641

641

80

080 AFRES_E5-E9_MALE_MARR_CHILD

13,616

4,735

81

081 AFRES_E5-E9_MALE_MARR_NOCHILD

4,034

1,329

82

082 AFRES_E5-E9_FEMALE_MARR_CHILD

3,180

1,561

83

083 AFRES_E5-E9_FEMALE_MARR_NOCHILD

1,489

760

84

084 AFRES_O1-O3_MALE_MARR_CHILD

1,139

847

85

085 AFRES_O1-O3_MALE_MARR_NOCHILD

432

319

86

086 AFRES_O1-O3_FEMALE_MARRIED_CHILD_NOCHILD

663

566

87

087 AFRES_O4-O6_MALE_MARR_CHILD

5,268

3,140

88

088 AFRES_O4-O6_MALE_MARR_NOCHILD

897

520

89

089 AFRES_O4-O6_FEMALE_MARR_CHILD

1,350

887

90

090 AFRES_O4-O6_FEMALE_MARR_NOCHILD

485

334



10


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