Summary for Variable Group: Comparable sample
The Comparable sample variable group contains ten binary variables (one for each component survey) to allow users to generate samples that are consistent across time. With few exceptions, the sampling frames become more inclusive over time, with the earliest surveys having the most restrictive sample. Comparable sample ("CS") variables are equal to 1 if the respondent would have been included in the sample in that year. For example, a sample that is consistent with the 1955 GAF would include only those respondents who would have been included in a survey using the sample restrictions for the 1955 GAF, i.e., those for whom IFSS_CS1955=1. A consistent sample spanning multiple surveys would include only those respondents with a value of 1 for the comparable sample variable for each survey. For example, a consistent sample from 1965 to 1976 would contain only respondents for whom IFSS_CS1965=1, IFSS_CS1970=1, IFSS_CS1973=1 and IFSS_CS1976=1.
1988 NSFG comparable sample
|1976 NSFG: Couple File|
|A7_CM||A7||1976 NSFG: Couple File|
|This variable indicates whether the respondent would have been included in the 1988 NSFG sampling frame.
General Comparability Notes
|The universe listed in the ICSPR documentation for the 1988 NSFG is "Noninstitutionalized women in the United States, 15-44 years of age, regardless of marital status." IFSS_CS1982 is equal to 1 for all women between the ages of 14 and 45, and 0 for all other women; the age range differs slightly because there were women included in the sample who were 14 and 45 at the time of the survey. IFSS cannot determine institutionalization status in earlier surveys, but it is highly unlikely that institutionalized women were included in earlier samples. Similarly, IFSS is unable to determine respondents state of residence in any component survey, but it is unlikely that residents of Alaska or Hawaii would bias results from earlier surveys. IFSS_CS1988 is functionally identical to IFSS_CS1982, IFSS_CS1995 and IFSS_CS2002. Additional variables are provided for completeness only.|