Kinship linking file for pairs of relatives In the NLSY97. It builds upon the Links97Pair dataset.

Source: R/links-97-pair-expanded-doc.R

Please first read the documentation for Links97Pair. That dataset contains the same pairs/rows, but only a subset of the variables/columns.

For variables that are measured separately for both subjects (eg, Gender), the subjects' variable name will have an _S1 or _S2 appended to it. For instance, the variables LastSurvey_S1 and LastSurvey_S2 correspond to the last surveys completed by the pair's first and second subject, respectively. Similarly, the functions CreatePairLinksDoubleEntered() and CreatePairLinksSingleEntered() by default append _S1 and _S2. However this can be modified using the 'subject1Qualifier' and 'subject2Qualifier' parameters.

Format

A data frame with 11,075 observations on the following 22 variables. There is one row per unique pair of subjects, irrespective of order.

  • ExtendedID see the variable of the same name in Links97Pair

  • SubjectTag_S1 see the variable of the same name in Links97Pair

  • SubjectTag_S2 see the variable of the same name in Links97Pair

  • R see the variable of the same name in Links97Pair

  • RFull This is a superset of R. This includes all the R values we estimated, while R (i.e., the variable above) excludes values like R=0.

  • RelationshipPath see the variable of the same name in Links97Pair

  • EverSharedHouse Indicate if the pair likely live in the same house. This is TRUE for all pairs in this NLSY97 dataset.

  • IsMz Indicates if the pair is from the same zygote (ie, they are identical twins/triplets). This variable is a factor, with levels No=0, Yes=1, DoNotKnow=255.

  • LastSurvey_S1 The year of Subject1's most recently completed survey. This may be different that the survey's administration date.

  • LastSurvey_S2 The year of Subject2's most recently completed survey. This may be different that the survey's administration date.

  • RPass1 The pair's estimated R coefficient, using both implicit and explicit information. Interpolation was NOT used. The variable R is identically constructed, but it did use interpolation.

  • SubjectID_S1 The ID value assigned by NLS to the first subject. For Gen1 Subjects, this is their "CaseID" (ie, R00001.00). For Gen2 subjects, this is their "CID" (ie, C00001.00).

  • SubjectID_S2 The ID value assigned by NLS to the second subject.

Source

See Links97Pair.

Details

Specifies the relatedness coefficient (ie, 'R') between subjects in the same extended family. Each row represents a unique relationship pair. An extended family with \(k\) subjects will have \(k\)(\(k\)-1)/2 rows. Typically, Subject1 is older while Subject2 is younger.

The specific steps to determine the R coefficient will be described in an upcoming publication. The following information may influence the decisions of an applied researcher.

See also

Download CSV If you're using the NlsyLinks package in R, the dataset automatically is available. To use it in a different environment, download the csv, which is readable by all statistical software. links-metadata-2017-97.yml documents the dataset version information.

Author

Will Beasley

Examples

library(NlsyLinks) # Load the package into the current R session.
hist(Links97PairExpanded$R)   # Declare a concise variable name.


# write.csv(
#   Links97PairExpanded,
#   file      ='~/NlsyLinksStaging/Links97PairExpanded.csv',
#   row.names = FALSE
# )