### Abstract

The authors have developed and tested scale-up methods, based on a simple social network theory, to estimate the size of hard-to-count subpopulations. The authors asked a nationally representative sample of respondents how many people they knew in a list of 32 subpopulations including 29 subpopulations of known size and 3 of unknown size. Using these responses, the authors produced an effectively unbiased maximum likelihood estimate of the number of people each respondent knows. These estimates were then used to back-estimate the size of the three populations of unknown size. Maximum likelihood values and 95% confidence intervals are found for seroprevalence, 800,000 ±43,000; for homeless, 526,000 ±35,000; and for women raped in the last 12 months, 194,000 ±21,000. The estimate for seroprevalence agrees strikingly with medical estimates, the homeless estimate is well within the published estimates, and the authors' estimate lies in the middle of the published range for rape victims.

Original language | English (US) |
---|---|

Pages (from-to) | 289-307 |

Number of pages | 19 |

Journal | Evaluation Review |

Volume | 22 |

Issue number | 2 |

State | Published - Apr 1 1998 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Arts and Humanities (miscellaneous)
- Social Sciences(all)

### Cite this

*Evaluation Review*,

*22*(2), 289-307.

**Estimation of seroprevalence, rape, and homelessness in the united states using asocial network approach.** / Killworth, Peter D.; McCarty, Christopher; Bernard, Harvey; Shelley, Gene Ann; Johnsen, Eugene C.

Research output: Contribution to journal › Article

*Evaluation Review*, vol. 22, no. 2, pp. 289-307.

}

TY - JOUR

T1 - Estimation of seroprevalence, rape, and homelessness in the united states using asocial network approach

AU - Killworth, Peter D.

AU - McCarty, Christopher

AU - Bernard, Harvey

AU - Shelley, Gene Ann

AU - Johnsen, Eugene C.

PY - 1998/4/1

Y1 - 1998/4/1

N2 - The authors have developed and tested scale-up methods, based on a simple social network theory, to estimate the size of hard-to-count subpopulations. The authors asked a nationally representative sample of respondents how many people they knew in a list of 32 subpopulations including 29 subpopulations of known size and 3 of unknown size. Using these responses, the authors produced an effectively unbiased maximum likelihood estimate of the number of people each respondent knows. These estimates were then used to back-estimate the size of the three populations of unknown size. Maximum likelihood values and 95% confidence intervals are found for seroprevalence, 800,000 ±43,000; for homeless, 526,000 ±35,000; and for women raped in the last 12 months, 194,000 ±21,000. The estimate for seroprevalence agrees strikingly with medical estimates, the homeless estimate is well within the published estimates, and the authors' estimate lies in the middle of the published range for rape victims.

AB - The authors have developed and tested scale-up methods, based on a simple social network theory, to estimate the size of hard-to-count subpopulations. The authors asked a nationally representative sample of respondents how many people they knew in a list of 32 subpopulations including 29 subpopulations of known size and 3 of unknown size. Using these responses, the authors produced an effectively unbiased maximum likelihood estimate of the number of people each respondent knows. These estimates were then used to back-estimate the size of the three populations of unknown size. Maximum likelihood values and 95% confidence intervals are found for seroprevalence, 800,000 ±43,000; for homeless, 526,000 ±35,000; and for women raped in the last 12 months, 194,000 ±21,000. The estimate for seroprevalence agrees strikingly with medical estimates, the homeless estimate is well within the published estimates, and the authors' estimate lies in the middle of the published range for rape victims.

UR - http://www.scopus.com/inward/record.url?scp=0032056168&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032056168&partnerID=8YFLogxK

M3 - Article

C2 - 10183307

AN - SCOPUS:0032056168

VL - 22

SP - 289

EP - 307

JO - Evaluation Review

JF - Evaluation Review

SN - 0193-841X

IS - 2

ER -