The analysis of stratified multiple responses
Surveys often contain qualitative variables for which respondents may select any number of the outcome categories. For instance, for the question “What type of contraception have you used?” with possible responses (oral, condom, lubricated condom, spermicide, and diaphragm), respondents would be ins...
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ftunivwollongong:oai:ro.uow.edu.au:infopapers-2626 2023-05-15T16:28:36+02:00 The analysis of stratified multiple responses Liu, Ivy Suesse, Thomas F 2008-01-01T08:00:00Z https://ro.uow.edu.au/infopapers/1606 unknown Research Online https://ro.uow.edu.au/infopapers/1606 Faculty of Informatics - Papers (Archive) analysis stratified multiple responses Physical Sciences and Mathematics article 2008 ftunivwollongong 2020-02-25T10:45:42Z Surveys often contain qualitative variables for which respondents may select any number of the outcome categories. For instance, for the question “What type of contraception have you used?” with possible responses (oral, condom, lubricated condom, spermicide, and diaphragm), respondents would be instructed to select as many of the outcomes that apply. This situation is known as multiple responses. When the data includes stratification variables, we discuss two approaches: (1) the “GEE” approach which uses logit models directly applying the generalized estimating equations (GEE) method (Liang and Zeger, 1986); and (2) the “GMH” approach which extends the generalized Mantel–Haenszel type estimators (Greenland, 1989) to make inferences across multiple responses. These approaches can also be used for data with dependent observations across strata. Article in Journal/Newspaper Greenland University of Wollongong, Australia: Research Online Greenland |
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Open Polar |
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University of Wollongong, Australia: Research Online |
op_collection_id |
ftunivwollongong |
language |
unknown |
topic |
analysis stratified multiple responses Physical Sciences and Mathematics |
spellingShingle |
analysis stratified multiple responses Physical Sciences and Mathematics Liu, Ivy Suesse, Thomas F The analysis of stratified multiple responses |
topic_facet |
analysis stratified multiple responses Physical Sciences and Mathematics |
description |
Surveys often contain qualitative variables for which respondents may select any number of the outcome categories. For instance, for the question “What type of contraception have you used?” with possible responses (oral, condom, lubricated condom, spermicide, and diaphragm), respondents would be instructed to select as many of the outcomes that apply. This situation is known as multiple responses. When the data includes stratification variables, we discuss two approaches: (1) the “GEE” approach which uses logit models directly applying the generalized estimating equations (GEE) method (Liang and Zeger, 1986); and (2) the “GMH” approach which extends the generalized Mantel–Haenszel type estimators (Greenland, 1989) to make inferences across multiple responses. These approaches can also be used for data with dependent observations across strata. |
format |
Article in Journal/Newspaper |
author |
Liu, Ivy Suesse, Thomas F |
author_facet |
Liu, Ivy Suesse, Thomas F |
author_sort |
Liu, Ivy |
title |
The analysis of stratified multiple responses |
title_short |
The analysis of stratified multiple responses |
title_full |
The analysis of stratified multiple responses |
title_fullStr |
The analysis of stratified multiple responses |
title_full_unstemmed |
The analysis of stratified multiple responses |
title_sort |
analysis of stratified multiple responses |
publisher |
Research Online |
publishDate |
2008 |
url |
https://ro.uow.edu.au/infopapers/1606 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Faculty of Informatics - Papers (Archive) |
op_relation |
https://ro.uow.edu.au/infopapers/1606 |
_version_ |
1766018275110551552 |