A log-linear approach for modelling ordinal paired comparison data on motives to start a PhD programme

被引：17

作者：

Dittrich, R ^{[1
]}

Hatzinger, R ^{[1
]}

Katzenbeisser, W ^{[1
]}

机构：

[1] Univ Vienna Econ, Dept Stat & Math, A-1090 Vienna, Austria

来源：

STATISTICAL MODELLING | 2004年 / 4卷 / 03期

关键词：

adjacent categories model; Bradley-Terry model; generalized linear models; GLIM; ordinal data; paired comparisons; R;

D O I：

10.1191/1471082X04st072oa

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The purpose of this paper is to propose an alternative log-linear representation of an adjacent categories (AC) paired comparison (PC) model. The AC model is well suited for modelling ordinal PC data by postulating a power relationship between the response category and the probability of preferring one object over another object. The model is applied to data collected on the motivation of Vienna students to start a doctoral programme of study.

引用

页码：181 / 193

页数：13

共 3 条

[1] Modelling dependencies in paired comparison data - A log-linear approach
Dittrich, R
Hatzinger, R
Katzenbeisser, W
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2002, 40 (01) : 39 - 57
[2] Modelling dependency in multivariate paired comparisons: A log-linear approach
Dittrich, Regina
Francis, Brian
Hatzinger, Reinhold
Katzenbeisser, Walter
MATHEMATICAL SOCIAL SCIENCES, 2006, 52 (02) : 197 - 209
[3] Subject-specific modelling of paired comparison data: A lasso-type penalty approach
Schauberger, Gunther
Tutz, Gerhard
STATISTICAL MODELLING, 2017, 17 (03) : 223 - 243

← 1 →