III. Race/Ancestry Populations
CPES analysts are free to define respondent groupings for analysis; however, for purposes of weight development twelve specific race/ancestry groupings were initially specified. These groupings are listed in Table 1. Due to the small number of persons of Other ancestry interviewed in the NCS-R, those individuals were combined with the White race category for purposes of the CPES weight computation.
|Table 1: Race/Ancestry Groupings Required For CPES Weight Development|
|CPES Race/Ancestry Population Group||Survey Populations|
|All Other Asian *||NCS-R, NLAAS|
|Cuban||NCS-R, NLAAS, NSAL|
|Puerto Rican||NCS-R, NLAAS, NSAL|
|All Other Hispanic *||NCS-R, NLAAS, NSAL|
|Afro-Caribbean (non-Hispanic)||NCS-R, NSAL|
|African-American (non-Hispanic)||NCS-R, NSAL|
|All Other (Pacific Islander, Native American, etc.)||NCS-R|
|* Based on NLAAS screening criteria|
The breakdown of the full population into these 12 race/ancestry populations was a direct result of the specific eligibility and oversampling provisions of the NSAL and the NLAAS study designs. As shown in Table 1, NCS-R provided nearly universal coverage of all 12 race/ancestry groups. NSAL and NLAAS provided in-depth coverage of specific populations and with the exception of Afro-Caribbeans from Spanish language countries in the Caribbean (e.g., Cuba, Dominican Republic), the oversampling in each of these two studies did not overlap.
These 12 population groupings form the first dimension of a two-dimensional array that was used to apportion/adjust study-specific weights to create a new weight variable for integrated CPES analyses. These "population" groupings were defined at the respondent level. If individual respondents had multiple race/ancestry, they were assigned to a single category according to the priority order in the NLAAS and NSAL respondent classification rules (e.g. Afro-Caribbean taking preference over African-American, Vietnamese over Chinese). If ancestry for NCS-R cases could not be explicitly established at the level of detail required to map them into the NSAL or NLAAS population categories, they were stochastically assigned to a category based on the prevalence of each population in the Census Block Group in which the respondent's household was located.