Discrete Response Multilevel Models for Repeated Measures: An Application to Voting Intentions Data

被引：1

作者：

Maria Ferrao Barbosa

Harvey Goldstein

机构：

[1] Pontificia Universidade Catolica do Rio de Janeiro,Institute of Education

[2] University of London,undefined

来源：

Quality and Quantity | 2000年 / 34卷 / 3期

关键词：

discrete response; longitudinal data; multilevel model; repeated measures; time series; underdispersion; voting intentions;

D O I：

10.1023/A:1004711502296

中图分类号：

学科分类号：

摘要：

Repeated measures data can be modelled as a two-levelmodel where occasions (level one units) are grouped byindividuals (level two units). Goldstein et al. (1994)proposed a multilevel time series model when theresponse variable follows a Normal distribution andthe measurements are taken with unequal timeintervals. This paper extends the methodology todiscrete response variables. The models are applied toBritish Election Study data consisting of repeatedmeasures of voting intention.

引用

页码：323 / 330

页数：7

共 5 条

[1]

Goldstein H.(1994)Multilevel time series models with applications to repeated measures data Statistics in Medicine 13 1643-1655

[2]

Healy M.(1996)Improved approximations for multilevel models with binary responses Journal of the Royal Statistical Society A 159 505-513

[3]

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[4]

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[5]

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