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Studies of Welfare Populations: Data Collection and Research Issues
legislation, 6–7 , 222 , 223–224 , 232 , 233–241 , 246 , 247 , 255–257 , 266–267 , 268 , 271–274
criminal penalties for breeches, 238–239 , 254–256 , 263 , 268 , 274
linkage of data and, 216–217 , 220 , 222–223
organizational factors, 243–254 , 258–259 , 262–264 , 265 , 266 , 267–268
Institutional Review Boards, 88 , 92 , 125 , 236–237 , 266–267
private contract researchers, 239 , 241 , 243–254
socially sensitive data, 221 , 230–231
standards, 233–237 , 243–258
state government role, 6–7 , 222–223 , 238–258 , 267–268 , 271–274
statistical analyses, 224–225 , 255 , 258–262 , 267
tax records, 304 , 305
technical assistance, 256–257 , 267
cost factors, 199 , 200 , 201 , 278
confidentiality, 222 , 258 , 263 , 273–274
criminal records, 206 , 238–239 , 255–256 , 263
death certificates, 327 , 328
defined, 197 , 224–225
eligibility, general, 220–274 , 304 , 305 , 504
children, 318 , 321 , 323 , 324–325 , 326 , 329 , 331
linkage, 216–217 , 220 , 222–223
employment, 6 , 7 , 69 , 228 , 239 , 275–279 , 287–288 , 289 , 290–315 , 400– 403 , 406–408 , 422–441 (passim), 505
Job Training Partnership Act, 246 , 278 , 291 , 295–302 , 310–312
leaver studies, 389 , 394 , 400–408 , 412–413 , 415 , 416–443 (passim), 448 , 453–463 , 464 , 468
survey data vs administrative data, 6 , 275–279 , 287–288 , 289 , 295–303 , 311
unemployment insurance records, 7 , 69 , 132 , 203 , 225 , 249 , 276 (n.3), 277 , 278 , 287 , 290–312 , 403 , 406–408 , 413 , 417–422 , 431–431 , 442–445 , 451 , 462
families and households, general, 278 , 317 , 319 , 320 , 400 , 473
food stamps, 283
child well-being, 318 , 320 , 324 , 331 , 343
cleaning and matching of data, 197 , 203 , 225 , 226–227 , 409
confidentiality, 225 , 226–227 , 240 , 249
leaver studies, 401–402 , 409 , 432–435 , 445 , 446 , 448–449 , 450 , 463
funding, 207 , 236 , 242 , 246
gender factors,
caseload heterogeneity, 473 , 474 , 478 , 481 , 482–499
data matching, 204 , 212
linking, 25 , 210 , 212 , 216 , 229
geographic factors,
cleaning of data, 202–203 , 212
confidentiality, 228 , 261
juvenile justice system, 342
linkage of data, 207 , 212 , 216
incentives, survey data vs , 277
income and earnings, 7 , 275 , 329
caseload heterogeneity, 474 , 478–479 , 486 , 488 , 489 , 492–496 (passim)
leaver studies, 389 , 394 , 409–411 , 413 , 416–417 , 432–436 , 439 , 441–450 , 454–464 (passim), 468 , 469 , 470 , 472
survey data vs administrative data, 6 , 275–279 , 287–288 , 289 , 295–303 , 311
unemployment insurance records, 7 , 69 , 132 , 203 , 225 , 249 , 276 (n.3), 277 , 278 , 287 , 290–312 , 403 , 406–408 , 413 , 417–422 , 431 , 442–445 , 451 , 462
in-person interviews and, 4 , 89
leaver studies, 389 , 390–393 , 395–399 , 400–408 , 411–443 (passim), 448 , 453–463 , 464 , 468
AFDC data, 8–9 , 249 , 388 (n.1), 416 , 417–472 (passim)
child well-being, 324 , 331
employment and income, 389 , 394 , 400–408 , 412–413 , 415 , 416–443 (passim), 448 , 453–463 , 464 , 468
food stamps, 401–402 , 409 , 432–435 , 445 , 446 , 448–449 , 450 , 463
