Individual cigarette usage Self-reported data as a function of respondent-reported data

C. A. McMahan; Myra L. Richards; Jack P. Strong

doi:10.1016/0021-9150(76)90008-3

Individual cigarette usage Self-reported data as a function of respondent-reported data

C. A. McMahan, Myra L. Richards, Jack P. Strong

Pathology

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The interview method was used to collect data from living respondent-subject pairs regarding cigarette usage of the subject; the nonsmoker subject was explicitly not studied. Several different measures of usage were tested. The mean correlation coefficient between subject-reported data and the corresponding respondent-reported data was 0.86; that is, at least 70% of the variability in subject-reported data can be accounted for from information obtained from an appropriate living respondent closely associated with the subject. Selected regression equations are presented for estimating cigarette usage of a subject from data provided by a respondent.

Original language	English (US)
Pages (from-to)	477-488
Number of pages	12
Journal	Atherosclerosis
Volume	23
Issue number	3
DOIs	https://doi.org/10.1016/0021-9150(76)90008-3
State	Published - Jan 1 1976

Keywords

Atherosclerosis
Autopsied cases
Cigarette smoking
Criterion variable
Interview method
Multiple regression
Partial correlation
Simple correlation

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

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title = "Individual cigarette usage Self-reported data as a function of respondent-reported data",

abstract = "The interview method was used to collect data from living respondent-subject pairs regarding cigarette usage of the subject; the nonsmoker subject was explicitly not studied. Several different measures of usage were tested. The mean correlation coefficient between subject-reported data and the corresponding respondent-reported data was 0.86; that is, at least 70% of the variability in subject-reported data can be accounted for from information obtained from an appropriate living respondent closely associated with the subject. Selected regression equations are presented for estimating cigarette usage of a subject from data provided by a respondent.",

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author = "McMahan, {C. A.} and Richards, {Myra L.} and Strong, {Jack P.}",

year = "1976",

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AU - McMahan, C. A.

AU - Richards, Myra L.

AU - Strong, Jack P.

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N2 - The interview method was used to collect data from living respondent-subject pairs regarding cigarette usage of the subject; the nonsmoker subject was explicitly not studied. Several different measures of usage were tested. The mean correlation coefficient between subject-reported data and the corresponding respondent-reported data was 0.86; that is, at least 70% of the variability in subject-reported data can be accounted for from information obtained from an appropriate living respondent closely associated with the subject. Selected regression equations are presented for estimating cigarette usage of a subject from data provided by a respondent.

AB - The interview method was used to collect data from living respondent-subject pairs regarding cigarette usage of the subject; the nonsmoker subject was explicitly not studied. Several different measures of usage were tested. The mean correlation coefficient between subject-reported data and the corresponding respondent-reported data was 0.86; that is, at least 70% of the variability in subject-reported data can be accounted for from information obtained from an appropriate living respondent closely associated with the subject. Selected regression equations are presented for estimating cigarette usage of a subject from data provided by a respondent.

KW - Atherosclerosis

KW - Autopsied cases

KW - Cigarette smoking

KW - Criterion variable

KW - Interview method

KW - Multiple regression

KW - Partial correlation

KW - Simple correlation

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