Sampling Racial and Ethnic Minorities

[Pages:64]Sampling Racial and Ethnic Minorities

William D. Kalsbeek

Director, Survey Research Unit Professor, Department of Biostatistics

University of North Carolina

June 14, 2000

Copyright 2000, William Kalsbeek

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Acknowledgements

Gayle Shimokura

? For significant contributions to this presentation through her meticulous background research.

CDC/National Center for Health Statistics (Contract No. UR6/CCU417428-01)

? For funding support for this presentation ? UNC-CH's Center for Health Statistics Research ?

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Copyright 2000, William Kalsbeek

Race/Ethnic Minorities (% of Population: March 2000 CPS)

Hispanics (11.7 %)

? Settled (95%) ? Mobile (5 %)

African-American (12.8 %)

? Settled (99.9%) ? Mobile (0.1%)

Asian-American (4.0%) Native-American (0.9%)

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Copyright 2000, William Kalsbeek

Overview

Some basics on probability sampling Problems in sampling rare population

subgroups* A review of some existing remedies*

* Note that a reference list is available

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Copyright 2000, William Kalsbeek

Context: Sampling Race/Ethnic Minorities

Targeted

With Oversampling

Ethnic Minority

As the population subgroup of interest in a specially targeted study (targeted sampling)

As a key subgroup in a general population study (oversampling)

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Copyright 2000, William Kalsbeek

Probability vs. Nonprobability Sampling?

Probability sampling:

? Random sampling methods used ? Each member of the target population with a

known, nonzero selection probability

Nonprobability sampling in exceptional circumstances

? Judgment used ? Requires models to analyze

Probability sampling is generally preferred

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Copyright 2000, William Kalsbeek

Sampling Frames and Linkage

Sampling Frame = List(s) used to select a probability sample

EXAMPLE: List of patients to sample health care users

Usefulness of a frame is tied to:

? The linkage that exists between entries on the list and the population being sampled

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Copyright 2000, William Kalsbeek

Sample Weights

A number for each member of the sample

? Reflecting the inverse of the selection probability for the sample member

May be adjusted for sample imbalance due to:

? Nonresponse ? Incomplete frame coverage ? Other selection problems

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Copyright 2000, William Kalsbeek

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